Model Version: 3.0a
Component Tag:
ctsm5.4.042
HTML Created:
2026-07-02
Variable Namelist Group Category Entry Type Valid Values Possible Default Values Description and out-of-the-box Default
denitrif_respiration_coefficient nitrif_inparm bgc real ['any real']
Multiplier for heterotrophic respiration for max denitrification rates
denitrif_respiration_exponent nitrif_inparm bgc real ['any real']
Exponent power for heterotrophic respiration for max denitrification rates
hist_wrt_matrixcn_diag clm_inparm bgc logical ['.true.', '.false.'] is .false. for: {'clm_accelerated_spinup': 'on'}
is .false. for: {'clm_accelerated_spinup': 'sasu'}
is .false. for: {'clm_accelerated_spinup': 'off'}
Turn on extra output for the matrix solution
iloop_avg clm_inparm bgc integer ['any integer'] -999
is -999 for: {'spinup_matrixcn': '.true.', 'use_soil_matrixcn': '.true.'}
The restart file will be based on the average of all analytic solutions within the iloop_avg^th loop.
eg. if nyr_forcing = 20, iloop_avg = 8, the restart file in yr 160 will be based on analytic solutions from yr 141 to 160.
The number of the analytic solutions within one loop depends on ratio between nyr_forcing and nyr_SASU.
eg. if nyr_forcing = 20, nyr_SASU = 5, number of analytic solutions is 20/5=4
k_nitr_max nitrif_inparm bgc real ['any real']
Maximum nitrification rate constant (1/s)
nyr_forcing clm_inparm bgc integer ['any integer'] 1
is 20 for: {'spinup_matrixcn': '.true.', 'use_soil_matrixcn': '.true.'}
Number of years to average the storage capacitance over for the soil Matrix solution during semi-analytic spinup (spinup_matrixcn=T)
Normally should be the same as the number of years the atmospheric forcing is run over
nyr_sasu clm_inparm bgc integer ['any integer'] 1
length of each semi-analytic solution. eg. nyr_SASU=5, analytic solutions will be calculated every five years.
nyr_SASU=1: the fastest SASU, but inaccurate; nyr_SASU=nyr_forcing(eg. 20): the lowest SASU but accurate
spinup_matrixcn clm_inparm bgc logical ['.true.', '.false.'] is .true. for: {'clm_accelerated_spinup': 'on', 'use_soil_matrixcn': '.true.'}
is .true. for: {'clm_accelerated_spinup': 'sasu', 'use_soil_matrixcn': '.true.'}
is .false. for: {'clm_accelerated_spinup': 'off'}
Turn on semi-analytic spinup solution for the CN/Soil matrix, requires soil matrix to be on
This will drive the solution to equilibrium
use_cn clm_inparm bgc logical ['.true.', '.false.']
CLM Biogeochemistry mode : Carbon Nitrogen model (CN)
(or CLM45BGC if phys=clm4_5, vsoilc_centbgc='on', and clm4me='on')
use_cndv clm_inparm bgc logical ['.true.', '.false.']
CLM Biogeochemistry mode : Carbon Nitrogen with Dynamic Global Vegetation Model (CNDV)
(or CLM45BGCDV if phys=clm4_5, vsoilc_centbgc='on', and clm4me='on')
(deprecated -- will be removed)
use_fun clm_inparm bgc logical ['.true.', '.false.'] .false.
is .true. for: {'use_cn': '.true.', 'use_nitrif_denitrif': '.true.'}
is .false. for: {'phys': 'clm4_5', 'use_cn': '.true.', 'use_nitrif_denitrif': '.true.'}
Turn the Fixation and Uptate of Nitrogen model version 2 (FUN2.0)
Requires the CN model to work (either CN or CNDV).
use_lch4 clm_inparm bgc logical ['.true.', '.false.'] is .false. for: {'soil_decomp_method': 'None'}
.true.
Turn on methane model. Standard part of CLM45BGC model.
use_matrixcn clm_inparm bgc logical ['.true.', '.false.'] .false.
is .true. for: {'clm_accelerated_spinup': 'sasu', 'use_fates': '.false.', 'bgc_mode': 'bgc'}
Turn on the Matrix solution for above ground biogeochemistry, requires CN to be on
use_nitrif_denitrif clm_inparm bgc logical ['.true.', '.false.'] is .false. for: {'soil_decomp_method': 'None'}
.true.
Nitrification/denitrification splits the prognostic mineral N pool into two
   mineral N pools: NO3 and NH4, and includes the transformations between them.
Turned on for BGC
FATES currently allows it to be true or false, but will be hardwired to true later
use_nvmovement clm_inparm bgc logical ['.true.', '.false.'] .false.
   use_nvmovement = true use soil nitrogen vertical movement
   use_nvmovement = false do not use soil nitrogen vertical movement
   use_nvmovement cannot be true while use_nitrif_denitrif is false
use_soil_matrixcn clm_inparm bgc logical ['.true.', '.false.'] .false.
is .true. for: {'clm_accelerated_spinup': 'sasu', 'use_fates': '.false.', 'soil_decomp_method': 'CENTURYKoven2013'}
Turn on the Matrix solution for soil biogeochemistry
atm_c13_filename clm_inparm clm_isotope char*512 ['any char'] is lnd/clm2/isotopes/atm_delta_C13_CMIP6_1850-2015_yearly_v2.0_c190528.nc for: {'use_c13': '.true.', 'use_c13_timeseries': '.true.', 'ssp_rcp': 'hist', 'cmip_era': 'cmip6'}
is lnd/clm2/isotopes/atm_delta_C13_CMIP6_SSP119_1850-2100_yearly_c181209.nc for: {'use_c13': '.true.', 'use_c13_timeseries': '.true.', 'ssp_rcp': 'SSP1-1.9', 'cmip_era': 'cmip6'}
is lnd/clm2/isotopes/atm_delta_C13_CMIP6_SSP126_1850-2100_yearly_c181209.nc for: {'use_c13': '.true.', 'use_c13_timeseries': '.true.', 'ssp_rcp': 'SSP1-2.6', 'cmip_era': 'cmip6'}
is lnd/clm2/isotopes/atm_delta_C13_CMIP6_SSP245_1850-2100_yearly_c181209.nc for: {'use_c13': '.true.', 'use_c13_timeseries': '.true.', 'ssp_rcp': 'SSP2-4.5', 'cmip_era': 'cmip6'}
is lnd/clm2/isotopes/atm_delta_C13_CMIP6_SSP3B_1850-2100_yearly_c181209.nc for: {'use_c13': '.true.', 'use_c13_timeseries': '.true.', 'ssp_rcp': 'SSP3-7.0', 'cmip_era': 'cmip6'}
is lnd/clm2/isotopes/atm_delta_C13_CMIP6_SSP534os_1850-2100_yearly_c181209.nc for: {'use_c13': '.true.', 'use_c13_timeseries': '.true.', 'ssp_rcp': 'SSP5-3.4', 'cmip_era': 'cmip6'}
is lnd/clm2/isotopes/atm_delta_C13_CMIP6_SSP5B_1850-2100_yearly_c181209.nc for: {'use_c13': '.true.', 'use_c13_timeseries': '.true.', 'ssp_rcp': 'SSP5-8.5', 'cmip_era': 'cmip6'}
Filename with time series of atmospheric Delta C13 data, which use CMIP6 format.  variables in file are "time" and "delta13co2_in_air".  time variable is in format: years since 1850-01-01 0:0:0.0. units are permil.
atm_c14_filename clm_inparm clm_isotope char*512 ['any char'] is lnd/clm2/isotopes/atm_delta_C14_CMIP6_3x1_global_1850-2015_yearly_v2.0_c190528.nc for: {'use_c14': '.true.', 'use_c14_bombspike': '.true.', 'ssp_rcp': 'hist', 'cmip_era': 'cmip6'}
is lnd/clm2/isotopes/atm_delta_C14_CMIP6_SSP119_3x1_global_1850-2100_yearly_c181209.nc for: {'use_c14': '.true.', 'use_c14_bombspike': '.true.', 'ssp_rcp': 'SSP1-1.9', 'cmip_era': 'cmip6'}
is lnd/clm2/isotopes/atm_delta_C14_CMIP6_SSP126_3x1_global_1850-2100_yearly_c181209.nc for: {'use_c14': '.true.', 'use_c14_bombspike': '.true.', 'ssp_rcp': 'SSP1-2.6', 'cmip_era': 'cmip6'}
is lnd/clm2/isotopes/atm_delta_C14_CMIP6_SSP245_3x1_global_1850-2100_yearly_c181209.nc for: {'use_c14': '.true.', 'use_c14_bombspike': '.true.', 'ssp_rcp': 'SSP2-4.5', 'cmip_era': 'cmip6'}
is lnd/clm2/isotopes/atm_delta_C14_CMIP6_SSP3B_3x1_global_1850-2100_yearly_c181209.nc for: {'use_c14': '.true.', 'use_c14_bombspike': '.true.', 'ssp_rcp': 'SSP3-7.0', 'cmip_era': 'cmip6'}
is lnd/clm2/isotopes/atm_delta_C14_CMIP6_SSP534os_3x1_global_1850-2100_yearly_c181209.nc for: {'use_c14': '.true.', 'use_c14_bombspike': '.true.', 'ssp_rcp': 'SSP5-3.4', 'cmip_era': 'cmip6'}
is lnd/clm2/isotopes/atm_delta_C14_CMIP6_SSP5B_3x1_global_1850-2100_yearly_c181209.nc for: {'use_c14': '.true.', 'use_c14_bombspike': '.true.', 'ssp_rcp': 'SSP5-8.5', 'cmip_era': 'cmip6'}
Filename with time series of atmospheric Delta C14 data.  variables in file are "time" and "Delta14co2_in_air". time variable is in format: years since 1850-01-01 0:0:0.0  units are permil.
for_testing_allow_interp_non_ciso_to_ciso clm_inparm clm_isotope logical ['.true.', '.false.']
There is a bug that causes incorrect values for C isotopes if running
init_interp from a case without C isotopes to a case with C isotopes
(https://github.com/ESCOMP/ctsm/issues/67). Normally, an error-check
prevents you from doing this interpolation (until we have fixed that
bug). However, we sometimes want to bypass this error-check in system
tests. This namelist flag bypasses this error-check.
use_c13 clm_inparm clm_isotope logical ['.true.', '.false.'] .false.
is .true. for: {'phys': 'clm6_0', 'bgc_mode': 'bgc', 'lnd_tuning_mode': 'clm6_0_CRUJRA2024', 'ssp_rcp': 'hist'}
is .true. for: {'phys': 'clm6_0', 'bgc_mode': 'bgc', 'lnd_tuning_mode': 'clm6_0_cam7.0', 'ssp_rcp': 'hist'}
Enable C13 model
use_c13_timeseries clm_inparm clm_isotope logical ['.true.', '.false.'] .false.
is .true. for: {'use_c13': '.true.'}
Flag to use the atmospheric time series of C13 concentrations from natural abundance and the Seuss Effect, rather than static values.
use_c14 clm_inparm clm_isotope logical ['.true.', '.false.'] .false.
is .true. for: {'phys': 'clm6_0', 'bgc_mode': 'bgc', 'lnd_tuning_mode': 'clm6_0_CRUJRA2024', 'ssp_rcp': 'hist'}
is .true. for: {'phys': 'clm6_0', 'bgc_mode': 'bgc', 'lnd_tuning_mode': 'clm6_0_cam7.0', 'ssp_rcp': 'hist'}
Enable C14 model
use_c14_bombspike clm_inparm clm_isotope logical ['.true.', '.false.'] .false.
is .true. for: {'use_c14': '.true.'}
Flag to use the atmospheric time series of C14 concentrations from bomb fallout and Seuss effect, rather than natural abundance C14 (nominally set as 10^-12 mol C14 / mol C)
deepmixing_depthcrit clm_inparm clm_lake real ['any real']
Minimum lake depth to increase non-molecular thermal diffusivities by the factor deepmixing_mixfact.
deepmixing_mixfact clm_inparm clm_lake real ['any real']
Factor to increase non-molecular thermal diffusivities for lakes deeper than deepmixing_depthcrit
to account for unresolved 3D processes.
Set to 1 to
lake_melt_icealb clm_inparm clm_lake real(2) ['any real(2)']
Visible and Near-infrared albedo values for melting lakes. Albedo will relax to these values as temperature
reaches melting when ice is present with no snow layers. Represents puddling, ice disintegration, and white ice.
Set to alblak values (0.6, 0.4) to keep albedo constant for ice-covered lakes without snow layers.
allowlakeprod ch4par_in clm_methane logical ['.true.', '.false.']
If TRUE, turn on methane biogeochemistry model for lake columns, using a simplified version of the CH4 submodel.
(EXPERIMENTAL, UNSUPPORTED!)
ch4offline ch4par_in clm_methane logical ['.true.', '.false.']
If TRUE, run the methane submodel decoupled from the atmosphere. The atmospheric methane concentration is prescribed by
atmch4, the methane flux is not passed to the atmosphere, and the CO2 flux to the atmosphere is not adjusted for
net methane production. NOTE: Currently this must be TRUE.
(EXPERIMENTAL, UNSUPPORTED, and NOT functional!)
finundation_method ch4par_in clm_methane char*50 ['h2osfc', 'ZWT_inversion', 'TWS_inversion'] TWS_inversion
is ZWT_inversion for: {'phys': 'clm4_5'}
Inundated fraction method type to use for the CH4 submodel (possibly affecting soil
heterotrophic respiration and denitrification depending on the configuration),

h2osfc ----------- Use prognostic saturated fraction h2osfc value calculated in Soil Hydrology
ZWT_inversion ---- Use inversion of Prigent Satellite data to model ZWT
TWS_inversion ---- Use inversion of Prigent Satellite data to model TWS

Inversion options require additional data on fsurdat or use of stream_fldfilename_ch4finundated files.
(h2osfc option is EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
replenishlakec ch4par_in clm_methane logical ['.true.', '.false.']
If TRUE, maintain constant soil carbon under lakes, and use the methane submodel simply to predict the net conversion of
CO2 (via biological assimilation, decomposition, and methanogenesis) to CH4. If FALSE, transiently decompose initial
soil carbon stock based on soil carbon dataset.  NOTE: if FALSE, a new transient source of C is added to the climate system,
so the coupled system will NOT conserve carbon in this mode if the methane model is coupled to the atmosphere.
(EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
use_aereoxid_prog ch4par_in clm_methane logical ['.true.', '.false.'] is .true. for: {'use_cn': '.true.'}
is .true. for: {'use_fates': '.true.'}
Allows user to tune the value of aereoxid.  If set to FALSE, then use the value of aereoxid from
the parameter file (set to 0.0, but may be tuned with values in the range {0.0,1.0}.  If set to TRUE,
then don't fix aere (see ch4Mod.F90).
usefrootc ch4par_in clm_methane logical ['.true.', '.false.']
If TRUE, use the fine root carbon predicted by CN when calculating the aerenchyma area, rather than the parametrization
based on annual NPP, aboveground NPP fraction, and LAI.
(EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
usephfact ch4par_in clm_methane logical ['.true.', '.false.']
If TRUE, apply a limitation to methane production based on the soil pH dataset.
(EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
vmax_oxid_unsat ch4par_in clm_methane real ['any real']
Michaelis-Mentin maximum methane oxidation rate (mol/m^3-water/s), in the unsaturated zone.
carbon_resp_opt clm_nitrogen clm_nitrogen integer ['0', '1'] is 1 for: {'use_flexibleCN': '.true.', 'use_fun': '.false.'}
is 0 for: {'use_flexibleCN': '.true.', 'use_fun': '.true.'}
Carbon respiration option to burn off carbon when CN ratio is too high (do NOT use when FUN is on)
(EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
CN_evergreen_phenology_opt clm_nitrogen clm_nitrogen integer ['0', '1'] is 1 for: {'use_flexibleCN': '.true.'}
Evergreen phenology option for CNPhenology
(EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
CNratio_floating clm_nitrogen clm_nitrogen logical ['.true.', '.false.'] is .true. for: {'use_flexibleCN': '.true.'}
   Flexible CN ratio used for Phenology
(EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
initial_vegC cnvegcarbonstate clm_nitrogen real ['any real'] is 100.d00 for: {'use_cn': '.true.', 'mm_nuptake_opt': '.true.'}
is 20.d00 for: {'phys': 'clm4_5', 'use_cn': '.true.', 'mm_nuptake_opt': '.true.'}
is 1.d00 for: {'use_cn': '.true.', 'mm_nuptake_opt': '.false.'}
How much Carbon to initialize vegetation pools (leafc/frootc and storage) to when -- Michaelis Menten nitrogen uptake kinetics is on
lnc_opt clm_nitrogen clm_nitrogen logical ['.true.', '.false.'] is .true. for: {'use_cn': '.true.'}
is .false. for: {'use_cn': '.false.'}
How LUNA and Photosynthesis (if needed) will get Leaf nitrogen content
   lnc_opt = true  get from leaf N from CN model
   lnc_opt = false get based on LAI and fixed CN ratio from parameter file
MM_Nuptake_opt clm_nitrogen clm_nitrogen logical ['.true.', '.false.'] is .true. for: {'use_flexibleCN': '.true.'}
   Michaelis Menten nitrogen uptake kinetics
reduce_dayl_factor clm_nitrogen clm_nitrogen logical ['.true.', '.false.'] is .false. for: {'use_flexibleCN': '.true.'}
   Reduce day length factor
(NOT implemented)
use_flexibleCN clm_inparm clm_nitrogen logical ['.true.', '.false.'] .false.
is .true. for: {'use_cn': '.true.'}
is .false. for: {'phys': 'clm4_5', 'use_cn': '.true.'}
Allow the CN ratio to flexibly change with the simulation, rather than being fixed
vcmax_opt clm_nitrogen clm_nitrogen integer ['0', '3', '4'] is 3 for: {'use_flexibleCN': '.true.'}
Vcmax calculation for Photosynthesis
    vcmax_opt = 4 As for vcmax_opt=0, but using leafN, and exponential if tree (EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
    vcmax_opt = 3 Based on leafN and VCAD (used with Luna for crop and C4 vegetation)
    vcmax_opt = 0 Based on canopy top and foilage Nitrogen limitation factor from params file (clm4.5)
clump_pproc clm_inparm clm_performance integer ['any integer']
Clumps per processor.
nsegspc clm_inparm clm_performance integer ['any integer'] 35
number of segments per clump for decomposition
perchroot clm_inparm clm_permafrost logical ['.true.', '.false.']
If TRUE, weight btran (vegetation soil moisture availability) by unfrozen layers only, assuming that vegetation
will allocate roots preferentially to the active layer.
(EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
perchroot_alt clm_inparm clm_permafrost logical ['.true.', '.false.']
If TRUE, weight btran (vegetation soil moisture availability) by the active layer, as defined by the greatest thaw depth over the current and prior years.
(EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
albice clm_inparm clm_physics real(2) ['any real(2)'] 0.50,0.30
is 0.60,0.40 for: {'phys': 'clm4_5'}
Visible and Near-infrared albedo's for glacier ice
all_active clm_inparm clm_physics logical ['.true.', '.false.']
If TRUE, make ALL pfts, columns and landunits active, even those with 0 weight.
This means that computations will be run even over these 0-weight points.

THIS IS ONLY FOR TESTING PURPOSES - IT HAS NOT BEEN CHECKED FOR SCIENTIFIC VALIDITY.
boreal_peatfire_c lifire_inparm clm_physics real ['any real'] is 4.2d-5 for: {'fire_method': 'li2014qianfrc'}
is 0.09d-4 for: {'fire_method': 'li2016crufrc'}
is 0.09d-4 for: {'fire_method': 'li2021gswpfrc'}
is 0.28d-4 for: {'fire_method': 'li2024gswpfrc'}
is 0.58d-4 for: {'fire_method': 'li2024crujra'}
boreal peat fires (/hr)
borpeat_fire_soilmoist_denom lifire_inparm clm_physics real ['any real'] 0.3d00
is 0.3d00 for: {'fire_method': 'li2024crujra'}
Denominator of exponential in soil moisture term of equation relating that and temperature to boreal peat fire (unitless). Eq. 10 in Li et al. (2013, doi:10.5194/bg-10-2293-2013).
br_root cnmresp_inparm clm_physics real ['any real'] 0.83d-06
CN Maintenence Respiration base rate for roots
(if NOT set, use the value for br_mr on the params file)
bt_max lifire_inparm clm_physics real ['any real'] is 0.7d00 for: {'fire_method': 'li2014qianfrc'}
is 0.98d00 for: {'fire_method': 'li2016crufrc'}
is 0.98d00 for: {'fire_method': 'li2021gswpfrc'}
is 0.98d00 for: {'fire_method': 'li2024gswpfrc'}
is 0.98d00 for: {'fire_method': 'li2024crujra'}
Saturation BTRAN for ignition (0-1)
bt_min lifire_inparm clm_physics real ['any real'] is 0.3d00 for: {'fire_method': 'li2014qianfrc'}
is 0.85d00 for: {'fire_method': 'li2016crufrc'}
is 0.85d00 for: {'fire_method': 'li2021gswpfrc'}
is 0.85d00 for: {'fire_method': 'li2024gswpfrc'}
is 0.85d00 for: {'fire_method': 'li2024crujra'}
Critical BTRAN for ignition (0-1)
building_temp_method clmu_inparm clm_physics integer ['0', '1'] 1
is 0 for: {'phys': 'clm4_5'}
0 = simpler method (clm4_5)
1 = prognostic calculation of interior building temp (clm5_0)
calc_human_stress_indices clm_humanindex_inparm clm_physics char*16 ['ALL', 'FAST', 'NONE'] FAST
is NONE for: {'phys': 'clm4_5'}
Human heat stress indices:
    ALL  = All indices will be calculated
    FAST = A subset of indices will be calculated (will not include the computationally
           expensive wet bulb calculation and associated indices)
    NONE = No indices will be calculated
ccrit cnprecision_inparm clm_physics real ['any real']
Critical threshold for truncation of Carbon (truncate Carbon states to zero below this value)
cli_scale lifire_inparm clm_physics real ['any real'] is 0.035d00 for: {'fire_method': 'li2014qianfrc'}
is 0.033d00 for: {'fire_method': 'li2016crufrc'}
is 0.025d00 for: {'fire_method': 'li2021gswpfrc'}
is 0.04d00 for: {'fire_method': 'li2024gswpfrc'}
is 0.03d00 for: {'fire_method': 'li2024crujra'}
Global constant for deforestation fires (/day)
cmb_cmplt_fact_cwd lifire_inparm clm_physics real ['any real'] is 0.25d00 for: {'fire_method': 'li2014qianfrc'}
is 0.28d00 for: {'fire_method': 'li2016crufrc'}
is 0.28d00 for: {'fire_method': 'li2021gswpfrc'}
is 0.28d00 for: {'fire_method': 'li2024gswpfrc'}
is 0.28d00 for: {'fire_method': 'li2024crujra'}
Combustion completeness factor for CWD[Course Woody Debris] (unitless)
cmb_cmplt_fact_litter lifire_inparm clm_physics real ['any real'] is 0.5d00 for: {'fire_method': 'li2014qianfrc'}
is 0.5d00 for: {'fire_method': 'li2016crufrc'}
is 0.5d00 for: {'fire_method': 'li2021gswpfrc'}
is 0.5d00 for: {'fire_method': 'li2024gswpfrc'}
is 0.5d00 for: {'fire_method': 'li2024crujra'}
Combustion completeness factor for litter (unitless)
cnegcrit cnprecision_inparm clm_physics real ['any real'] is -6.d+1 for: {'use_cn': '.true.'}
is -6.d+2 for: {'phys': 'clm4_5', 'use_cn': '.true.'}
Critical threshold of negative Carbon to die (abort when Carbon states are below this value)
co2_ppmv clm_inparm clm_physics real ['any real'] is 379.0 for: {'sim_year': '1000'}
is 336.6 for: {'sim_year': '1979'}
is 379.0 for: {'sim_year': '2000'}
is 388.8 for: {'sim_year': '2010'}
is 397.5 for: {'sim_year': '2015'}
is 408.83 for: {'sim_year': '2018'}
is 284.7 for: {'sim_year': '1850'}
is 284.7 for: {'sim_year': 'PtVg'}
Atmospheric CO2 molar ratio (by volume) only used when co2_type==constant (umol/mol)
(Set by CCSM_CO2_PPMV)
co2_type clm_inparm clm_physics char*16 ['constant', 'prognostic', 'diagnostic'] constant
Type of CO2 feedback.
    constant   = use the input co2_ppmv value
    prognostic = use the prognostic value sent from the atmosphere
    diagnostic = use the diagnostic value sent from the atmosphere
constrain_stress_deciduous_onset bgc_shared clm_physics logical ['.true.', '.false.'] .true.
is .false. for: {'phys': 'clm4_5'}
If TRUE use additional stress deciduous onset trigger
create_crop_landunit clm_inparm clm_physics logical ['.true.', '.false.'] is .true. for: {'use_fates': '.false.'}
is .false. for: {'use_fates': '.true.'}
If TRUE, separate the vegetated landunit into a crop landunit and a natural vegetation landunit
crop_fsat_equals_zero clm_inparm clm_physics logical ['.true.', '.false.'] .false.
If TRUE, fsat will be set to zero for crop columns.
cropfire_a1 lifire_inparm clm_physics real ['any real'] is 0.3d00 for: {'fire_method': 'li2014qianfrc'}
is 1.6d-4 for: {'fire_method': 'li2016crufrc'}
is 1.6d-4 for: {'fire_method': 'li2021gswpfrc'}
is 0.3d00 for: {'fire_method': 'li2024gswpfrc'}
is 0.34d00 for: {'fire_method': 'li2024crujra'}
Scalar for cropfire (/hr)
defo_fire_precip_thresh_bdt lifire_inparm clm_physics real ['any real'] 1.8d00
is 1.8d00 for: {'fire_method': 'li2021gswpfrc'}
is 0.5d00 for: {'fire_method': 'li2024gswpfrc'}
is 0.6d00 for: {'fire_method': 'li2024crujra'}
Value (mm/d) above which running mean daily precipitation (10 or 60 days) does not allow deforestation fire for a column with broadleaf deciduous tropical trees but no broadleaf evergreen tropical trees. "PFT-dependent thresholds of P60d and P10d" in Li et al. (2013, doi:10.5194/bg-10-2293-2013).
defo_fire_precip_thresh_bet lifire_inparm clm_physics real ['any real'] 4.0d00
is 4.0d00 for: {'fire_method': 'li2021gswpfrc'}
is 1.4d00 for: {'fire_method': 'li2024gswpfrc'}
is 3.0d00 for: {'fire_method': 'li2024crujra'}
is 1.4d00 for: {'fire_method': 'li2024crujra', 'lnd_tuning_mode': 'clm6_0_cam7.0'}
Value (mm/d) above which running mean daily precipitation (10 or 60 days) does not allow deforestation fire for a column with broadleaf evergreen tropical trees but no broadleaf deciduous tropical trees. "PFT-dependent thresholds of P60d and P10d" in Li et al. (2013, doi:10.5194/bg-10-2293-2013).
do_sno_oc clm_inparm clm_physics logical ['.true.', '.false.'] .false.
option to activate organic carbon (OC) in SNICAR snow albedo calculation
(do_sno_oc='.true.' is EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
dribble_crophrv_xsmrpool_2atm cn_general clm_physics logical ['.true.', '.false.'] is .true. for: {'use_crop': '.true.'}
Harvest the XSMR pool at crop harvest time to the atmosphere slowly at an exponential rate
dtmin soilwater_movement_inparm clm_physics real ['any real'] 60.
minimum time step length (seconds) for adaptive time stepping in richards equation
enable_water_isotopes water_tracers_inparm clm_physics logical ['.true.', '.false.'] .false.
If .true., run with water isotopes
enable_water_tracer_consistency_checks water_tracers_inparm clm_physics logical ['.true.', '.false.'] .false.
If .true., add water tracers needed to perform water tracer consistency checks.

These consistency checks ensure that all water tracers are updated to remain in-sync with
the related bulk quantities.
excess_ice_coldstart_depth clm_temperature_inparm clm_physics real ['any real'] 0.5
is 0.5 for: {'use_excess_ice': '.true.'}
Soil depth below which initial excess ice concentration will be applied during a run starting with coldstart (m). Value only applys if use_excess_ice is true.
If this is set below depth of the soil depth, only the last soil layer will get excess ice.
excess_ice_coldstart_temp clm_temperature_inparm clm_physics real ['any real'] -1.0
is -3.15 for: {'use_excess_ice': '.true.'}
Initial soil temperature to use for gridcells with excess ice present during a run starting with coldstart (deg C). Value only applys if use_excess_ice is true.
expensive soilwater_movement_inparm clm_physics integer ['any integer'] 42

fire_method cnfire_inparm clm_physics char*80 ['nofire', 'li2014qianfrc', 'li2016crufrc', 'li2021gswpfrc', 'li2024gswpfrc', 'li2024crujra'] li2024crujra
is li2016crufrc for: {'phys': 'clm5_0'}
is li2014qianfrc for: {'phys': 'clm4_5'}
The method type to use for CNFire

nofire:        Turn fire effects off
li2014qianfrc: Reference paper Li, et. al.(2014) tuned with QIAN atmospheric forcing
li2016crufrc:  Reference paper Li, et. al.(2016) tuned with CRU-NCEP atmospheric forcing
li2021gswpfrc: No reference paper yet, tuned with GSWP3 atmospheric forcing
li2024gswpfrc: No reference paper yet, tuned with GSWP3 atmospheric forcing
li2024crujra:  No reference paper yet, tuned with CRU-JRA forcing (CRUJRA2024)
flux_calculation soilwater_movement_inparm clm_physics integer ['any integer'] 1

freelivfix_intercept mineral_nitrogen_dynamics clm_physics real ['any real'] is 0.0117d00 for: {'use_fun': '.true.', 'use_cn': '.true.'}
Intercept of free living Nitrogen fixation with zero annual ET
freelivfix_slope_wET mineral_nitrogen_dynamics clm_physics real ['any real']
Slope of free living Nitrogen fixation with annual ET
glacier_region_behavior clm_glacier_behavior clm_physics char*32(10) ['multiple', 'virtual', 'single_at_atm_topo', 'UNSET'] is 'single_at_atm_topo','UNSET','virtual','multiple' for: {'glc_use_antarctica': '0'}
is 'single_at_atm_topo','UNSET','virtual','virtual' for: {'glc_use_antarctica': '1'}
Behavior of each glacier region (GLACIER_REGION in surface dataset).
First item corresponds to GLACIER_REGION with ID 0 in the surface dataset,
second to GLACIER_REGION with ID 1, etc.
Allowed values are:
'multiple': grid cells can potentially have multiple glacier elevation classes,
   but no virtual columns
'virtual': grid cells have virtual columns: values are computed for every glacier
   elevation class, even those with 0 area (in order to provide surface mass
   balance for every glacier elevation class).
'single_at_atm_topo': glacier landunits in these grid cells have a single column,
   whose elevation matches the atmosphere's topographic height (so that there is no
   adjustment due to downscaling)
'UNSET': place-holder for non-existent regions
Most (if not all) of the region where there is an ice sheet model should have a behavior
of 'virtual': This behavior is needed to compute surface mass balance (SMB) in all
elevation classes for the sake of vertical downscaling, and is needed to allow two-way
feedbacks of glacier areas. You are allowed to have gridcells with non-virtual behavior in
this domain, but this should be minimized: SMB cannot be computed there, and CLM subgrid
areas will not remain in sync with the GLC model. (Within the icemask - i.e., the active
glc domain - you are NOT allowed to have gridcells with non-virtual behavior that also
have glacier_region_melt_behavior='replaced_by_ice': within the icemask, you're only
allowed to have non-virtual behavior in places where you are not computing SMB).
glacier_region_ice_runoff_behavior clm_glacier_behavior clm_physics char*32(10) ['remains_ice', 'melted', 'UNSET'] 'melted','UNSET','remains_ice','remains_ice'
Treatment of ice runoff for each glacier region (GLACIER_REGION in surface dataset).
First item corresponds to GLACIER_REGION with ID 0 in the surface dataset,
second to GLACIER_REGION with ID 1, etc.
Allowed values are:
'remains_ice': ice runoff is sent to the river model as ice; this is a crude parameterization
   of iceberg calving, and so is appropriate in regions where there is substantial iceberg calving
   in reality
'melted': ice runoff generated by the CLM physics (primarily due to snow capping) is melted
   (generating a negative sensible heat flux) and runs off as liquid; this is appropriate in
   regions that have little iceberg calving in reality. This can be important to avoid unrealistic
   cooling of the ocean and consequent runaway sea ice growth. This option cannot be
   combined with glacier_region_melt_behavior='replaced_by_ice': While there is nothing
   fundamentally wrong with this combination, it can result in problematic, non-physical
   fluxes (particularly, a large positive sensible heat flux during glacial melt in
   regions where the ice sheet is not fully dynamic and two-way-coupled; see
   https://github.com/ESCOMP/ctsm/issues/423 for details).
'UNSET': place-holder for non-existent regions
Only applies when melt_non_icesheet_ice_runoff is .true.
glacier_region_melt_behavior clm_glacier_behavior clm_physics char*32(10) ['replaced_by_ice', 'remains_in_place', 'UNSET'] 'remains_in_place','UNSET','replaced_by_ice','replaced_by_ice'
Treatment of ice melt for each glacier region (GLACIER_REGION in surface dataset).
First item corresponds to GLACIER_REGION with ID 0 in the surface dataset,
second to GLACIER_REGION with ID 1, etc.
Allowed values are:
'replaced_by_ice': any melted ice runs off and is immediately replaced by solid ice;
   this results in positive liquid runoff and negative ice runoff
'remains_in_place': any melted ice remains in place as liquid until it refreezes;
   thus, ice melt does not result in any runoff
'UNSET': place-holder for non-existent regions
IMPORTANT NOTE: Regions with the 'remains_in_place' behavior also do not compute SMB
(because negative SMB would be pretty much meaningless in those regions). Thus, most (if
not all) of the region where there is an ice sheet model should have the 'replaced_by_ice'
behavior; the SMB sent to the GLC model will be 0 in any gridcells with the
'remains_in_place' behavior.
Regions with the 'replaced_by_ice' behavior also compute SMB for the vegetated column.
glc_do_dynglacier clm_inparm clm_physics logical ['.true.', '.false.']
If TRUE, dynamically change areas and topographic heights over glacier points.
Only works when running with a non-stub glacier model.
glc_snow_persistence_max_days clm_inparm clm_physics integer ['any integer'] 0
is 7300 for: {'phys': 'clm4_5'}
Number of days before one considers the perennially snow-covered point 'land ice'
(and thus capable of generating a positive surface mass balance for the glacier model).
This is meant to compensate for the fact that, with small values of h2osno_max,
the onset of a snow-capped state (and thus conversion to land ice) can occur in an
unrealistically short amount of time.
Thus, in general, large values of h2osno_max should have glc_snow_persistence_max_days = 0;
small values of h2osno_max should have glc_snow_persistence_max_days > 0.
glcmec_downscale_longwave atm2lnd_inparm clm_physics logical ['.true.', '.false.'] is .true. for: {'phys': 'clm4_5'}
is .true. for: {'phys': 'clm5_0'}
.false.
If TRUE, downscale longwave radiation over glacier landunits.
This downscaling is conservative.
h2osfcflag clm_soilhydrology_inparm clm_physics integer ['0', '1']
If surface water is active or not
(deprecated -- will be removed)
h2osno_max clm_inparm clm_physics real ['any real'] is 10000.0 for: {'structure': 'standard'}
is 5000.0 for: {'structure': 'fast'}
is 1000.0 for: {'phys': 'clm4_5', 'structure': 'standard'}
Maximum snow depth in mm H2O equivalent. Additional mass gains will be capped when this depth
is exceeded.
Changes in this value should possibly be accompanied by changes in:
- nlevsno: larger values of h2osno_max should be accompanied by increases in nlevsno
- glc_snow_persistence_max_days: large values of h2osno_max should generally have
  glc_snow_persistence_max_days = 0; small values of h2osno_max should generally have
  glc_snow_persistence_max_days > 0.
inexpensive soilwater_movement_inparm clm_physics integer ['any integer'] 1

int_snow_max scf_swenson_lawrence_2012_inparm clm_physics real ['any real'] 2000.
is 1.e30 for: {'phys': 'clm4_5'}
Limit applied to integrated snowfall when determining changes in snow-covered fraction during melt
(mm H2O)
Only applies when using the SwensonLawrence2012 snow cover fraction method
irrig_depth irrigation_inparm clm_physics real ['any real'] 0.6
Soil depth to which we measure for irrigation (m)
irrig_length irrigation_inparm clm_physics integer ['any integer'] 14400
Desired amount of time to irrigate per day (sec).
Actual time may differ if this is not a multiple of dtime.
irrig_method_default irrigation_inparm clm_physics char*32 ['drip', 'sprinkler'] drip
Irrigation method used if not specified on surface dataset
irrig_min_lai irrigation_inparm clm_physics real ['any real'] 0.0
Minimum leaf area index for irrigation to occur
irrig_river_volume_threshold irrigation_inparm clm_physics real ['any real'] 0.1
Threshold for river water volume below which irrigation is shut off (as a fraction of available river water), if limit_irrigation_if_rof_enabled is .true.
A threshold of 0 means allow all river water to be used;
a threshold of 0.1 means allow 90% of the river volume to be used; etc.
irrig_start_time irrigation_inparm clm_physics integer ['any integer'] 21600
Time of day to check whether we need irrigation, seconds (0 = midnight).
We start applying the irrigation in the time step FOLLOWING this time.
irrig_target_smp irrigation_inparm clm_physics real ['any real'] -3400.
Target soil matric potential for irrigation (mm).
When we irrigate, we aim to bring the total soil moisture in the top (irrig_depth) m of soil up to this level.
irrig_threshold_fraction irrigation_inparm clm_physics real ['any real'] 1.0
is 0.5 for: {'phys': 'clm4_5'}
Determines soil moisture threshold at which we irrigate.
If h2osoi_liq_wilting_point is the soil moisture level at wilting point and
h2osoi_liq_target is the soil moisture level at the target irrigation level
(given by irrig_target_smp), then the threshold at which we irrigate is
    h2osoi_liq_wilting_point +
         irrig_threshold_fraction*(h2osoi_liq_target - h2osoi_liq_wilting_point)
A value of 1 means that we irrigate whenever soil moisture falls below the target.
A value of 0 means that we only irrigate when soil moisture falls below the wilting point.
irrigate clm_inparm clm_physics logical ['.true.', '.false.'] .false.
is .false. for: {'use_fates': '.true.'}
is .true. for: {'use_cndv': '.false.', 'sim_year_range': '1850-2100', 'use_fates': '.false.'}
is .true. for: {'phys': 'clm6_0', 'use_cndv': '.false.', 'sim_year_range': '1850-2000', 'use_fates': '.false.'}
is .false. for: {'phys': 'clm4_5', 'use_cndv': '.false.', 'sim_year_range': '1850-2100'}
If TRUE, irrigation will be active.
itmax_canopy_fluxes canopyfluxes_inparm clm_physics integer ['any integer'] is 40 for: {'structure': 'standard'}
is 3 for: {'structure': 'fast'}
Max number of iterations used in subr. CanopyFluxes. For many years, 40 was the hardwired default value.
lapse_rate atm2lnd_inparm clm_physics real ['any real'] 0.006
Surface temperature lapse rate (K m-1)
A positive value means a decrease in temperature with increasing height
lapse_rate_longwave atm2lnd_inparm clm_physics real ['any real'] 0.032
Longwave radiation lapse rate (W m-2 m-1)
A positive value means a decrease in LW radiation with increasing height
Only relevant if glcmec_downscale_longwave is .true.
leaf_mr_vcm clm_canopy_inparm clm_physics real ['any real'] 0.015d00
Scalar of leaf respiration to vcmax
leafresp_method photosyns_inparm clm_physics integer ['any integer'] is 2 for: {'use_cn': '.true.'}
is 1 for: {'phys': 'clm4_5', 'use_cn': '.true.'}
is 0 for: {'use_cn': '.false.'}
Leaf maintencence respiration for canopy top at 25C method to use

    0  Scaled by vcmax25top
    1  Ryan 1991
    2  Atkin 2015
lfuel lifire_inparm clm_physics real ['any real'] is 75.d00 for: {'fire_method': 'li2014qianfrc'}
is 105.d00 for: {'fire_method': 'li2016crufrc'}
is 75.d00 for: {'fire_method': 'li2021gswpfrc'}
is 75.d00 for: {'fire_method': 'li2024gswpfrc'}
is 75.d00 for: {'fire_method': 'li2024crujra'}
Lower threshold for fuel mass needed for ignition
light_inhibit photosyns_inparm clm_physics logical ['.true.', '.false.'] .true.
is .false. for: {'phys': 'clm4_5'}
Switch to inihibit photosynthesis in daytime
Lloyd et al. 2010, & Metcalfe et al. 2012
limit_irrigation_if_rof_enabled irrigation_inparm clm_physics logical ['.true.', '.false.'] .false.
If TRUE, limit irrigation when river storage drops below a threshold.
Only applies if using an active runoff (ROF) model; otherwise, river storage-based limitation
is turned off regardless of the setting of this namelist variable.
longwave_downscaling_limit atm2lnd_inparm clm_physics real ['any real'] 0.5
Relative limit for how much longwave downscaling can be done (unitless)
The pre-normalized, downscaled longwave is restricted to be in the range
[lwrad*(1-longwave_downscaling_limit), lwrad*(1+longwave_downscaling_limit)]
This parameter must be in the range [0,1]
Only relevant if glcmec_downscale_longwave is .true.
lotmp_snowdensity_method clm_snowhydrology_inparm clm_physics char*25 ['Slater2017', 'TruncatedAnderson1976'] 'Slater2017'
is 'TruncatedAnderson1976' for: {'phys': 'clm4_5'}
Snow density method to use for low temperatures (below -15C)
TruncatedAnderson1976 -- Truncate the Anderson-1976 equation at the value for -15C
Slater2017 ------------- Use equation from Slater that increases snow density for very cold temperatures  (Arctic, Antarctic)
lower_boundary_condition soilwater_movement_inparm clm_physics integer ['1', '2', '3', '4'] is 4 for: {'soilwater_movement_method': '0'}
is 2 for: {'soilwater_movement_method': '1', 'use_bedrock': '.true.'}
is 2 for: {'soilwater_movement_method': '1', 'use_bedrock': '.false.'}
is 3 for: {'soilwater_movement_method': '1', 'use_bedrock': '.false.', 'vichydro': '1'}
Index of lower boundary condition for Richards equation.

lower_boundary_condition = 1 : flux lower boundary condition                                     (use with soilwater_movement_method=adaptive time stepping)
lower_boundary_condition = 2 : zero-flux lower boundary condition                                (use with soilwater_movement_method=adaptive time stepping)
lower_boundary_condition = 3 : water table head-based lower boundary condition w/ aquifer layer. (use with soilwater_movement_method=adaptive time stepping)
lower_boundary_condition = 4 : 11-layer solution w/ aquifer layer                                (only used with soilwater_movement_method=Zeng&Decker 2009)

TODO(bja, 2015-09) these should be strings so they have meaningful names instead of ints.
max_rh30_affecting_fuel lifire_inparm clm_physics real ['any real'] 90.d00
is 90.d00 for: {'fire_method': 'li2021gswpfrc'}
is 90.d00 for: {'fire_method': 'li2024gswpfrc'}
is 95. for: {'fire_method': 'li2024crujra'}
Value above which 30-day running relative humidity has no effect on fuel combustibility
maxpatch_glc clm_inparm clm_physics integer ['1', '3', '5', '10', '36']
Number of  multiple elevation classes over glacier points.
melt_non_icesheet_ice_runoff lnd2atm_inparm clm_physics logical ['.true.', '.false.'] .true.
is .false. for: {'phys': 'clm4_5'}
If TRUE, ice runoff generated from non-glacier columns and glacier columns outside icesheet regions
is converted to liquid, with an appropriate sensible heat flux.
That is, the atmosphere (rather than the ocean) melts the ice.
(Exception: ice runoff generated to ensure conservation with dynamic landunits remains as ice.)
modifyphoto_and_lmr_forcrop photosyns_inparm clm_physics logical ['.true.', '.false.'] .true.
is .false. for: {'phys': 'clm4_5'}
Modify photosynthesis and leaf maintence respiration for crop
n_melt_glcmec scf_swenson_lawrence_2012_inparm clm_physics real ['any real'] is 1.0d00 for: {'phys': 'clm6_0'}
10.0d00
SCA shape parameter for glc_mec (glacier multiple elevation class) columns
For most columns, n_melt is based on the standard deviation of 1km topography in the grid cell;
but glc_mec columns already account for subgrid topographic variability through their use of
multiple elevation classes; thus, to avoid double-accounting for topographic variability
in these columns, we use a fixed value of n_melt.
Only applies when using the SwensonLawrence2012 snow cover fraction method
ncrit cnprecision_inparm clm_physics real ['any real'] is 1.d-9 for: {'use_cn': '.true.'}
is 1.d-8 for: {'phys': 'clm4_5', 'use_cn': '.true.'}
Critical threshold for truncation of Nitrogen (truncate Nitrogen states to zero below this value)
nlevsno clm_inparm clm_physics integer ['3', '4', '5', '6', '7', '8', '9', '10', '11', '12'] is 12 for: {'structure': 'standard'}
is 5 for: {'structure': 'fast'}
is 5 for: {'phys': 'clm4_5', 'structure': 'standard'}
Number of snow layers.
Values less than 5 are mainly useful for testing, and should not be used for science.
nnegcrit cnprecision_inparm clm_physics real ['any real'] is -6.d+0 for: {'use_cn': '.true.'}
is -6.d+1 for: {'phys': 'clm4_5', 'use_cn': '.true.'}
Critical threshold of negative Nitrogen to die (abort when Nitrogen states are below this value)
non_boreal_peatfire_c lifire_inparm clm_physics real ['any real'] is 0.001d00 for: {'fire_method': 'li2014qianfrc'}
is 0.17d-3 for: {'fire_method': 'li2016crufrc'}
is 0.17d-3 for: {'fire_method': 'li2021gswpfrc'}
is 0.71d-4 for: {'fire_method': 'li2024gswpfrc'}
is 0.75d-4 for: {'fire_method': 'li2024crujra'}
non-boreal peat fires (/hr)
nonborpeat_fire_precip_denom lifire_inparm clm_physics real ['any real'] 1.0d00
is 6.0d00 for: {'fire_method': 'li2024gswpfrc'}
is 6.5d00 for: {'fire_method': 'li2024crujra'}
Denominator of precipitation in equation relating that to non-boreal peat fire (unitless). Eq. 9 in Li et al. (2013, doi:10.5194/bg-10-2293-2013).
occur_hi_gdp_tree lifire_inparm clm_physics real ['any real'] is 0.39d00 for: {'fire_method': 'li2014qianfrc'}
is 0.33d00 for: {'fire_method': 'li2016crufrc'}
is 0.33d00 for: {'fire_method': 'li2021gswpfrc'}
is 0.33d00 for: {'fire_method': 'li2024gswpfrc'}
is 0.33d00 for: {'fire_method': 'li2024crujra'}
Fire occurance for high GDP areas that are tree dominated (fraction)
organic_frac_squared clm_soilstate_inparm clm_physics logical ['.true.', '.false.'] .false.
is .true. for: {'phys': 'clm4_5'}
If TRUE, square the organic fraction when it's used (as was done in CLM4.5)
Otherwise use the fraction straight up              (the default for CLM5.0)
overburden_compress_Tfactor clm_snowhydrology_inparm clm_physics real ['any real']
Snow compaction overburden exponential factor (1/K)
Not used for snow_overburden_compaction_method=Vionnet2012
pertlim clm_inparm clm_physics real ['any real']
Perturbation limit when doing error growth test
(EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
(deprecated -- will be removed)
pot_hmn_ign_counts_alpha lifire_inparm clm_physics real ['any real'] is 0.0035d00 for: {'fire_method': 'li2014qianfrc'}
is 0.010d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm5_0_GSWP3v1'}
is 0.010d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm5_0_CRUv7'}
is 0.008d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm5_0_cam7.0'}
is 0.008d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm5_0_cam6.0'}
is 0.008d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm5_0_cam5.0'}
is 0.008d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm5_0_cam4.0'}
is 0.008d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm6_0_cam7.0'}
is 0.008d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm6_0_cam6.0'}
is 0.008d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm6_0_cam5.0'}
is 0.008d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm6_0_cam4.0'}
is 0.008d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm5_0_cam5.0'}
is 0.008d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm5_0_cam4.0'}
is 0.010d00 for: {'fire_method': 'li2021gswpfrc'}
is 0.010d00 for: {'fire_method': 'li2024gswpfrc'}
is 0.010d00 for: {'fire_method': 'li2024crujra'}
Potential human ignition counts (/person/month)
repartition_rain_snow atm2lnd_inparm clm_physics logical ['.true.', '.false.'] .true.
is .false. for: {'phys': 'clm4_5'}
If TRUE, repartition rain/snow from atmosphere based on temperature.
reseed_dead_plants cn_general clm_physics logical ['.true.', '.false.'] is .true. for: {'clm_accelerated_spinup': 'on', 'use_cn': '.true.'}
.false.
Flag to reseed any dead plants on startup from reading the initial conditions file
reset_snow clm_snowhydrology_inparm clm_physics logical ['.true.', '.false.'] .false.
If set to .true., then reset the snow pack over non-glacier columns to a small value.
This is useful when transitioning from a spinup under one set of atmospheric forcings
to a run under a different set of atmospheric forcings: By resetting too-large snow packs,
we make it more likely that points will remain only seasonally snow-covered under the new
atmospheric forcings. (This is particularly true in a coupled run, where starting with a
too-large snow pack can cool the atmosphere, thus maintaining the too-large snow pack.)

WARNING: Setting this to .true. will break water conservation for approximately the first
day of the new run. This is by design: The excess snow is completely removed from the system.
reset_snow_glc clm_snowhydrology_inparm clm_physics logical ['.true.', '.false.'] .false.
If set to .true., then reset the snow pack over glacier columns to a small value.
This is useful when transitioning from a spinup under one set of atmospheric forcings
to a run under a different set of atmospheric forcings: By resetting too-large snow packs,
we make it more likely that points will remain only seasonally snow-covered under the new
atmospheric forcings. (This is particularly true in a coupled run, where starting with a
too-large snow pack can cool the atmosphere, thus maintaining the too-large snow pack.)

See also reset_snow_glc_ela, which controls the elevation below which
glacier columns are reset.

WARNING: Setting this to .true. will break water conservation for approximately the first
day of the new run. This is by design: The excess snow is completely removed from the system.

WARNING: This variable is intended for short test runs, and generally
should not be used for scientific production runs. By resetting snow
below a given elevation, you risk forcing the system to evolve
differently in areas below and above reset_snow_glc_ela.
reset_snow_glc_ela clm_snowhydrology_inparm clm_physics real ['any real'] 1.e9
Only relevant if reset_snow_glc is .true.

When resetting snow pack over glacier columns, one can choose to do this over all glacier
columns, or only those below a certain elevation. A typical use case is to reset only those
columns that have a seasonal snow pack in the real world, i.e. SMB less than 0, also known as
the equilibrium line altitude (ELA). This parameter sets a single global ELA value. By
setting this parameter to a large value (i.e. 10000 m), all glacier columns will be reset.

WARNING: This variable is intended for short test runs, and generally
should not be used for scientific production runs. By resetting snow
below a given elevation, you risk forcing the system to evolve
differently in areas below and above reset_snow_glc_ela.
rh_hgh lifire_inparm clm_physics real ['any real'] is 80.0d00 for: {'fire_method': 'li2014qianfrc'}
is 80.0d00 for: {'fire_method': 'li2016crufrc'}
is 80.0d00 for: {'fire_method': 'li2021gswpfrc'}
is 80.0d00 for: {'fire_method': 'li2024gswpfrc'}
is 85.0d00 for: {'fire_method': 'li2024crujra'}
is 80.0d00 for: {'fire_method': 'li2024crujra', 'lnd_tuning_mode': 'clm6_0_cam7.0'}
Saturation RH for ignition (0-100)
rh_low lifire_inparm clm_physics real ['any real'] is 30.0d00 for: {'fire_method': 'li2014qianfrc'}
is 30.0d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm5_0_GSWP3v1'}
is 30.0d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm5_0_CRUv7'}
is 20.0d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm5_0_cam7.0'}
is 20.0d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm5_0_cam6.0'}
is 20.0d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm5_0_cam5.0'}
is 20.0d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm5_0_cam4.0'}
is 20.0d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm6_0_cam7.0'}
is 20.0d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm6_0_cam6.0'}
is 20.0d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm6_0_cam5.0'}
is 20.0d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm6_0_cam4.0'}
is 20.0d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm5_0_cam5.0'}
is 20.0d00 for: {'fire_method': 'li2016crufrc', 'lnd_tuning_mode': 'clm5_0_cam4.0'}
is 30.0d00 for: {'fire_method': 'li2021gswpfrc'}
is 30.0d00 for: {'fire_method': 'li2024gswpfrc'}
is 30.0d00 for: {'fire_method': 'li2024crujra'}
Critical RH for ignition (0-100)
rooting_profile_method_carbon rooting_profile_inparm clm_physics integer ['0', '1', '2'] 1
Index of rooting profile for carbon

Changes rooting profile from Zeng 2001 double exponential (0) to
Jackson 1996 single exponential (1) to Koven uniform exponential (2).
rooting_profile_method_carbon rooting_profile_inparm clm_physics integer ['0', '1', '2'] 1
Index of rooting profile for carbon

Changes rooting profile from Zeng 2001 double exponential (0) to
Jackson 1996 single exponential (1) to Koven uniform exponential (2).
rooting_profile_method_soilcarbon rooting_profile_inparm clm_physics integer ['0', '1', '2']
Index of rooting profile for soil carbon

Changes rooting profile from Zeng 2001 double exponential (0) to
Jackson 1996 single exponential (1) to Koven uniform exponential (2).
(REMOVE, NOT in the CODE)
rooting_profile_method_water rooting_profile_inparm clm_physics integer ['0', '1', '2'] 1
is 0 for: {'phys': 'clm4_5'}
Index of rooting profile for water

Changes rooting profile from Zeng 2001 double exponential (0) to
Jackson 1996 single exponential (1) to Koven uniform exponential (2).
rooting_profile_varindex_carbon rooting_profile_inparm clm_physics integer ['1', '2']
Variant index of rooting profile for carbon and soil carbon
(Currently only used for Jackson 1996 method)
rooting_profile_varindex_water rooting_profile_inparm clm_physics integer ['1', '2']
Variant index of rooting profile for water
(Currently only used for Jackson 1996 method)
rootstem_acc photosyns_inparm clm_physics logical ['.true.', '.false.'] .false.
Switch to turn on root and stem respiratory acclimation
Atkin, Fisher et al. (2008) and Lombardozzi et al. (2015)
run_zero_weight_urban clm_inparm clm_physics logical ['.true.', '.false.'] .false.
If TRUE, run all urban landunits everywhere where we have valid urban data.
This forces memory to be allocated and calculations to be run even for 0-weight urban points.
This has a substantial impact on memory use and performance, and should only be used
if you're interested in potential urban behavior globally.
snicar_dust_optics clm_inparm clm_physics char*25 ['sahara', 'san_juan_mtns_colorado', 'greenland'] sahara
dust optics type for SNICAR snow albedo calculation
(snicar_dust_optics='sahara' is the only supported option; others are EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
snicar_numrad_snw clm_inparm clm_physics integer ['5', '480'] 5
number of wavelength bands used in SNICAR snow albedo calculation
(snicar_numrad_snw=5 is the only supported option; others are EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
snicar_snobc_intmix clm_inparm clm_physics logical ['.true.', '.false.'] .false.
is .true. for: {'phys': 'clm6_0'}
option to activate BC-snow internal mixing in SNICAR snow albedo calculation
(snicar_snobc_intmix='.true.' is EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
snicar_snodst_intmix clm_inparm clm_physics logical ['.true.', '.false.'] .false.
option to activate dust-snow internal mixing in SNICAR snow albedo calculation
(snicar_snodst_intmix='.true.' is EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
snicar_snw_shape clm_inparm clm_physics char*25 ['sphere', 'spheroid', 'hexagonal_plate', 'koch_snowflake'] hexagonal_plate
is sphere for: {'phys': 'clm5_0'}
is sphere for: {'phys': 'clm4_5'}
snow grain shape used in SNICAR snow albedo calculation
(snicar_snw_shape='sphere' is supported in pre-ctsm5.1 model versions and 'hexagonal place' is supported in newer versions; others are EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
snicar_solarspec clm_inparm clm_physics char*25 ['mid_latitude_winter', 'mid_latitude_summer', 'sub_arctic_winter', 'sub_arctic_summer', 'summit_greenland_summer', 'high_mountain_summer'] mid_latitude_winter
type of downward solar radiation spectrum for SNICAR snow albedo calculation
(snicar_solarspec='mid_latitude_winter' is the only supported option; others are EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
snicar_use_aerosol clm_inparm clm_physics logical ['.true.', '.false.'] .true.
Toggle to turn on/off aerosol deposition flux in snow in SNICAR
(snicar_use_aerosol='.false.' is EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
snow_cover_fraction_method clm_inparm clm_physics char*64 ['NiuYang2007', 'SwensonLawrence2012'] SwensonLawrence2012
Parameterization to use for snow cover fraction
NiuYang2007: Niu and Yang 2007
SwensonLawrence2012: Swenson and Lawrence 2012
snow_dzmax_l_1 clm_snowhydrology_inparm clm_physics real ['any real'] 0.03d00
Max snow thickness of layer 1 (top snow layer) when no layers beneath; values other than the default 0.03 have not been tested as of Sep 6, 2019
snow_dzmax_l_2 clm_snowhydrology_inparm clm_physics real ['any real'] 0.07d00
Max snow thickness of layer 2 when no layers beneath; values other than the default 0.07 have not been tested as of Sep 6, 2019; snow_dzmax_l of remaining layers is generated with the following recursive formula: dzmax_l(j) = dzmax_u(j) + dzmax_l(j-1)
snow_dzmax_u_1 clm_snowhydrology_inparm clm_physics real ['any real'] 0.02d00
Max snow thickness of layer 1 (top snow layer) when layers beneath; values other than the default 0.02 have not been tested as of Sep 6, 2019
snow_dzmax_u_2 clm_snowhydrology_inparm clm_physics real ['any real'] 0.05d00
Max snow thickness of layer 2 when layers beneath; values other than the default 0.05 have not been tested as of Sep 6, 2019; snow_dzmax_u of remaining layers is generated with the following recursive formula: dzmax_u(j) = 2._r8 * dzmax_u(j-1) + 0.01_r8
snow_dzmin_1 clm_snowhydrology_inparm clm_physics real ['any real'] 0.010d00
Min snow thickness of layer 1 (top snow layer); values other than the default 0.01 have not been tested as of Sep 6, 2019
snow_dzmin_2 clm_snowhydrology_inparm clm_physics real ['any real'] 0.015d00
Min snow thickness of layer 2; values other than the default 0.015 have not been tested as of Sep 6, 2019; snow_dzmin of remaining layers is generated with the following recursive formula: dzmin(j) = dzmax_u(j-1) * 0.5_r8
snow_overburden_compaction_method clm_snowhydrology_inparm clm_physics char*64 ['Vionnet2012', 'Anderson1976'] 'Vionnet2012'
is 'Anderson1976' for: {'phys': 'clm4_5'}
Method used to compute snow overburden compaction
Anderson1976 -- older method, default in CLM45
Vionnet2012 --- newer method, default in CLM50
snow_thermal_cond_glc_method clm_inparm clm_physics char*25 ['Jordan1991', 'Sturm1997'] Jordan1991
is Sturm1997 for: {'phys': 'clm6_0'}
Parameterization to use for snow thermal conductivity over glacier land units
snow_thermal_cond_lake_method clm_inparm clm_physics char*25 ['Jordan1991', 'Sturm1997'] Jordan1991
is Sturm1997 for: {'phys': 'clm6_0'}
Parameterization to use for snow thermal conductivity over lake land units
snow_thermal_cond_method clm_inparm clm_physics char*25 ['Jordan1991', 'Sturm1997'] Jordan1991
is Sturm1997 for: {'phys': 'clm6_0'}
Parameterization to use for snow thermal conductivity
snowveg_affects_radiation surfacealbedo_inparm clm_physics logical ['.true.', '.false.'] .true.
Whether snow on the vegetation canopy affects the radiation/albedo calculations
soil_decomp_method soilbgc_decomp clm_physics char*20 ['None', 'CENTURYKoven2013', 'MIMICSWieder2015'] is CENTURYKoven2013 for: {'use_cn': '.true.'}
is CENTURYKoven2013 for: {'use_fates': '.true.'}
is None for: {'use_fates': '.true.', 'use_fates_sp': '.true.'}
None
Soil decomposition method
  None --  No soil decomposition is done
  CENTURYKoven2013 -- CENTURY model in CTSM from Koven et. al. 2013
  MIMICSWieder2015 -- MIMICS model in CTSM from Wieder et. al. 2015

An active soil decomposition method requires the BGC or FATES model to work
And both BGC and FATES models require an active soil decomposition model
soil_layerstruct_predefined clm_inparm clm_physics char*16 ['10SL_3.5m', '23SL_3.5m', '49SL_10m', '20SL_8.5m', '4SL_2m'] is 4SL_2m for: {'structure': 'fast'}
is 20SL_8.5m for: {'structure': 'standard'}
is 10SL_3.5m for: {'structure': 'standard', 'phys': 'clm4_5'}
10SL_3.5m    = standard CLM4 and CLM4.5 version
23SL_3.5m    = more vertical layers for permafrost simulations
49SL_10m     = 49 layer soil column, 10m of soil, 5 bedrock layers
20SL_8.5m    = 20 layer soil column, 8m of soil, 5 bedrock layers
4SL_2m       = 4 layer soil column, 2m of soil, 0 bedrock layers
soil_layerstruct_userdefined clm_inparm clm_physics real(99) ['any real(99)']
User-defined vector of dzsoi. The length of this vector determines nlevgrnd. When the user sets this vector, they have to set soil_layerstruct_userdefined_nlevsoi in the namelist, too; soil_layerstruct_userdefined_nlevsoi must be less than nlevgrnd in this version of the model, even though ideally soil_layerstruct_userdefined_nlevsoi could also equal nlevgrnd.
soil_layerstruct_userdefined_nlevsoi clm_inparm clm_physics integer ['any integer']
User-defined number of soil layers required to be set in the namelist when the user sets soil_layerstruct_userdefined in the namelist.
soil_resis_method soil_resis_inparm clm_physics integer ['0', '1'] 1
is 0 for: {'phys': 'clm4_5'}
Index of evaporative resistance method.

Changes soil evaporative resistance method from Sakaguchi and Zeng
2009 Beta function (0) to Swenson and Lawrence 2014 dry surface layer
formulation (1).
soilwater_movement_method soilwater_movement_inparm clm_physics integer ['0', '1'] 1
is 0 for: {'phys': 'clm4_5'}
Index of solution method of Richards equation.

Change method for richards equation solution and boundary
conditions.

CLM 4.5 - soilwater_movement_method = 0 (Zeng and Decker, 2009, method).
CLM 5.0 - soilwater_movement_method = 1 (adaptive time stepping moisture form from Martyn Clark).

1 (adaptive time stepping moisture form
stomatalcond_method photosyns_inparm clm_physics char*50 ['Ball-Berry1987', 'Medlyn2011'] Medlyn2011
is Ball-Berry1987 for: {'phys': 'clm4_5'}
Stomatal conductance model method to use

    Ball-Berry1987 --- Ball Berry 1987 methodology
    Medlyn2011 ------- Medlyn 2011 methodology
suplnitro clm_inparm clm_physics char*15 ['NONE', 'ALL'] NONE
is ALL for: {'fates_parteh_mode': 'carbon_only'}
Supplemental Nitrogen mode and for what type of vegetation it's turned on for.
In this mode Nitrogen is unlimited rather than prognosed and in general vegetation is
over-productive.
    NONE           = No vegetation types get supplemental Nitrogen
    ALL            = Supplemental Nitrogen is active for all vegetation types
ufuel lifire_inparm clm_physics real ['any real'] is 1050.d00 for: {'fire_method': 'li2014qianfrc'}
is 1050.d00 for: {'fire_method': 'li2016crufrc'}
is 1050.d00 for: {'fire_method': 'li2021gswpfrc'}
is 825.d00 for: {'fire_method': 'li2024gswpfrc'}
is 825.d00 for: {'fire_method': 'li2024crujra'}
Upper threshold for fuel mass needed for ignition
upper_boundary_condition soilwater_movement_inparm clm_physics integer ['1'] 1
is 1 for: {'phys': 'clm4_5'}
Index of upper boundary condition for Richards equation.
urban_explicit_ac clmu_inparm clm_physics logical ['.true.', '.false.'] .false.
is .true. for: {'phys': 'clm6_0'}
If TRUE, use explicit, time-varying AC adoption rate for air-conditioning flux and interior building temperature calculations.
urban_hac clmu_inparm clm_physics char*16 ['OFF', 'ON', 'ON_WASTEHEAT'] ON_WASTEHEAT
is ON for: {'phys': 'clm4_5'}
Turn urban air conditioning/heating ON or OFF and add wasteheat:
    OFF          = Air conditioning/heating is OFF in buildings, internal temperature allowed to float freely
    ON           = Air conditioning/heating is ON in buildings, internal temperature constrained
    ON_WASTEHEAT = Air conditioning/heating is ON and waste-heat sent to urban canyon
urban_traffic clmu_inparm clm_physics logical ['.true.', '.false.'] .false.
If TRUE, urban traffic flux will be activated
(Currently NOT implemented).
use_bedrock clm_inparm clm_physics logical ['.true.', '.false.'] is .false. for: {'use_fates': '.true.'}
is .false. for: {'vichydro': '1'}
.true.
is .false. for: {'phys': 'clm4_5'}
If TRUE, use variable soil depth.

If present on surface dataset, use depth to bedrock information to
specify spatially variable soil thickness. If not present, use bottom
of soil column (nlevsoi).
use_biomass_heat_storage canopyfluxes_inparm clm_physics logical ['.true.', '.false.'] .true.
is .false. for: {'use_fates': '.true.'}
is .false. for: {'phys': 'clm5_0'}
is .false. for: {'phys': 'clm4_5'}
If TRUE, include biomass heat storage in canopy energy balance.
use_clm5_fpi clm_canopyhydrology_inparm clm_physics logical ['.true.', '.false.'] .true.
is .false. for: {'phys': 'clm4_5'}
If TRUE use clm5 equation for fraction of intercepted precipitation
use_excess_ice clm_inparm clm_physics logical ['.true.', '.false.'] .false.
is .true. for: {'phys': 'clm6_0'}
If TRUE turn on the excess ice physics, (Lee et al., 2014; Cai et al., 2020)
use_excess_ice_streams exice_streams clm_physics logical ['.true.', '.false.']
If TRUE and use_excess_ice is TRUE, use the excess ice stream to determine the initial values of the excess ice field
if FALSE and use_excess_ice is TRUE, expect excess ice to come from the initial conditions or restart file
Expect to be FALSE is use_excess_ice is FALSE
use_groundwater_irrigation irrigation_inparm clm_physics logical ['.true.', '.false.'] .false.
If TRUE, supply irrigation from groundwater (in addition to surface water).

Can only be set if limit_irrigation_if_rof_enabled is true (otherwise
groundwater extraction is never invoked).

Cannot be combined with lower_boundary_condition = 3 or 4
use_nguardrail clm_inparm clm_physics logical ['.true.', '.false.'] is .false. for: {'use_cn': '.false.'}
is .true. for: {'use_cn': '.true.'}
is .false. for: {'phys': 'clm4_5', 'use_cn': '.true.'}
Apply the guardrail for leaf-Nitrogen that ensures it doesn't go negative or too small
use_prigent_roughness prigentroughness clm_physics logical ['.true.', '.false.'] is .true. for: {'dust_emis_method': 'Leung_2023'}
.false.
If TRUE use the Prigent roughness dataset
use_subgrid_fluxes clm_inparm clm_physics logical ['.true.', '.false.'] .true.
Whether to use subgrid fluxes for snow
use_undercanopy_stability canopyfluxes_inparm clm_physics logical ['.true.', '.false.'] .false.
is .true. for: {'phys': 'clm4_5'}
If TRUE use the undercanopy stability term used with CLM4.5 (Sakaguchi&Zeng, 2008)
use_z0m_snowmelt clm_inparm clm_physics logical ['.true.', '.false.'] is .true. for: {'z0param_method': 'Meier2022'}
.false.
If FALSE use constant snow z0m
If TRUE use parameterization of snow z0m as a function of accumulated
snow melt of Brock et al. (2006)
verySmall soilwater_movement_inparm clm_physics real ['any real'] 1.e-8
a very small number: used to check for sub step completion for adaptive time stepping in richards equation
wind_dependent_snow_density clm_snowhydrology_inparm clm_physics logical ['.true.', '.false.'] .true.
is .false. for: {'phys': 'clm4_5'}
If TRUE, the density of new snow depends on wind speed, and there is also
wind-dependent snow compaction.
xTolerLower soilwater_movement_inparm clm_physics real ['any real'] 1.e-2
tolerance to double length of substep for adaptive time stepping in richards equation
xTolerUpper soilwater_movement_inparm clm_physics real ['any real'] 1.e-1
tolerance to halve length of substep for adaptive time stepping in richards equation
z0param_method clm_inparm clm_physics char*64 ['ZengWang2007', 'Meier2022'] ZengWang2007
is Meier2022 for: {'use_fates': '.false.', 'phys': 'clm6_0'}
Parameterization/parameters to use for surface roughness
ZengWang2007: Zeng and Wang 2007
Meier2022: Meier et al. in prep. 2022
zetamaxstable friction_velocity clm_physics real ['any real'] is 2.0d00 for: {'use_biomass_heat_storage': '.true.'}
is 2.0d00 for: {'phys': 'clm4_5'}
is 0.5d00 for: {'phys': 'clm5_0'}
is 0.5d00 for: {'phys': 'clm6_0', 'z0param_method': 'ZengWang2007'}
is 2.0d00 for: {'phys': 'clm6_0', 'z0param_method': 'Meier2022'}
The maximum value to use for zeta under stable conditions
check_finidat_pct_consistency finidat_consistency_checks clm_restart logical ['.true.', '.false.']
If TRUE (which is the default), check consistency between pct_pft on the finidat file
and pct_pft read from the surface dataset. This check is only done for a NON-transient run.
check_finidat_year_consistency finidat_consistency_checks clm_restart logical ['.true.', '.false.']
If TRUE (which is the default), check consistency between year on the finidat file
and the current model year. This check is only done for a transient run.
nrevsn clm_inparm clm_restart char*512 ['any char']
Full pathname of master restart file for a branch run. (only used if RUN_TYPE=branch)
(Set with RUN_REFCASE and RUN_REFDATE)
rest_flag clm_inparm clm_restart logical ['.true.', '.false.']
If FALSE, don't write any restart files.
anoxia clm_inparm clm_vertcn logical ['.true.', '.false.']
If TRUE, reduce heterotrophic respiration according to available oxygen predicted by CH4 submodel.
froz_q10 clm_inparm clm_vertcn real ['any real']
separate q10 for frozen soil respiration rates.  default to same as above zero rates
max_depth_cryoturb clm_inparm clm_vertcn real ['any real']
Maximum depth to mix soils to by croturbation, in permafrost soils.
nfix_timeconst clm_inparm clm_vertcn real ['any real']
Number of days over which to use exponential relaxation of NPP in N fixation calculation
no_frozen_nitrif_denitrif clm_inparm clm_vertcn logical ['.true.', '.false.']
If true, no denitrification or nitrification in frozen soil layers.
(EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
override_bgc_restart_mismatch_dump clm_inparm clm_vertcn logical ['.true.', '.false.']
Flag for overriding the crash that should occur if user tries to start the model from a restart file made with a different version of the soil decomposition structure than is currently being used.
som_adv_flux clm_inparm clm_vertcn real ['any real']
Base advective flux (downwards) for SOM.
spinup_state clm_inparm clm_vertcn integer ['0', '1', '2'] is 2 for: {'clm_accelerated_spinup': 'on', 'use_cn': '.true.', 'use_soil_matrixcn': '.false.'}
is 1 for: {'clm_accelerated_spinup': 'on', 'use_cn': '.true.', 'phys': 'clm4_5', 'use_soil_matrixcn': '.false.'}
is 2 for: {'clm_accelerated_spinup': 'on', 'use_fates': '.true.', 'use_soil_matrixcn': '.false.'}
is 1 for: {'clm_accelerated_spinup': 'on', 'use_fates': '.true.', 'phys': 'clm4_5', 'use_soil_matrixcn': '.false.'}
is 0 for: {'clm_accelerated_spinup': 'sasu'}
is 0 for: {'use_soil_matrixcn': '.true.'}
is 0 for: {'clm_accelerated_spinup': 'off'}
Flag for setting the state of the Accelerated decomposition spinup state for the BGC model.
   0 = normal model behavior;
   1 = AD spinup (standard)
   2 = AD spinup (accelerated spinup from Ricciuto, doesn't work for CNDV and not implemented for CN soil decomposition)
Entering and exiting spinup mode occurs automatically by comparing the namelist and restart file values for this variable.
NOTE: THIS CAN ONLY BE SET TO NON-ZERO WHEN BGC_MODE IS NOT SATELITE PHENOLOGY!
surfprof_exp clm_inparm clm_vertcn real ['any real']
Profile over which to distribute C and N coming from surface pools (leaves, stem, grain).
nfix_method cnfun_inparm cnfun_inparm char*25 ['Houlton', 'Bytnerowicz'] Houlton
is Bytnerowicz for: {'phys': 'clm6_0'}
Choice of Nitrogen Fixation parameterization
allow_invalid_gdd20_season_inputs cropcal_streams datasets logical ['.true.', '.false.']
By default, a value in stream_fldFileName_gdd20_season_start or _end outside the range [1, 365] (or 366 in leap years) will cause the run to fail. Set this to .true. to instead have such cells fall back to the hard-coded hemisphere-specific "warm seasons."
allow_invalid_swindow_inputs cropcal_streams datasets logical ['.true.', '.false.']
By default, a value in stream_fldFileName_swindow_start or _end outside the range [1, 365] (or 366 in leap years) will cause the run to fail. Set this to .true. to instead fall back on the paramfile sowing windows.
check_dynpft_consistency dynpft_consistency_checks datasets logical ['.true.', '.false.']
If TRUE (which is the default), check consistency between pct_nat_pft on the flanduse_timeseries file
and pct_nat_pft read from the surface dataset.
compname clm_inparm datasets char*8 ['clm2', 'clm4', 'clm5'] clm2
Component name to use in history and restart files
cropcals_rx cropcal_streams datasets logical ['.true.', '.false.'] .false.
Flag to enable prescribed crop calendars (sowing window dates and maturity requirement)
cropcals_rx_adapt cropcal_streams datasets logical ['.true.', '.false.'] .true.
is .false. for: {'phys': 'clm4_5'}
is .false. for: {'phys': 'clm5_0'}
Flag to enable prescribed crop calendars (sowing window dates and maturity requirement), with maturity requirement adaptive based on recent climate
fates_inventory_ctrl_filename clm_inparm datasets char*512 ['any char']
Full pathname to the inventory initialization control file.
(Required, if use_fates_inventory_init=T)
(Only relevant if FATES is on).
fates_paramfile clm_inparm datasets char*512 ['any char'] src/fates/parameter_files/fates_params_default.json
Full pathname datafile with fates parameters
(Only relevant if FATES is on).
fatmlndfrc clm_inparm datasets char*512 ['any char']
Full pathname of land fraction data file.
finidat clm_inparm datasets char*512 ['any char'] lnd/clm2/initdata/clmi.${clm_usr_name}_${mask}_simyr${sim_year}.nc
is lnd/clm2/initdata_map/clmi.I1850Clm45BgcGs.0901-01-01.0.9x1.25_gx1v7_simyr1850_c200806.nc for: {'hgrid': '0.9x1.25', 'maxpft': '17', 'mask': 'gx1v7', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '18500101', 'sim_year': '1850', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm4_5_GSWP3v1', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.I1850Clm45BgcCruGs.1101-01-01.0.9x1.25_gx1v7_simyr1850_c200806.nc for: {'hgrid': '0.9x1.25', 'maxpft': '17', 'mask': 'gx1v7', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '18500101', 'sim_year': '1850', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm4_5_CRUv7', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.B1850Clm45BgcGs.0161-01-01.0.9x1.25_gx1v7_simyr1850_c200806.nc for: {'hgrid': '0.9x1.25', 'maxpft': '79', 'mask': 'gx1v7', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '18500101', 'sim_year': '1850', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.false.', 'lnd_tuning_mode': 'clm4_5_cam7.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.B1850Clm45BgcGs.0161-01-01.0.9x1.25_gx1v7_simyr1850_c200806.nc for: {'hgrid': '0.9x1.25', 'maxpft': '79', 'mask': 'gx1v7', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '18500101', 'sim_year': '1850', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.false.', 'lnd_tuning_mode': 'clm4_5_cam6.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.I1850Clm50Sp.0181-01-01.0.9x1.25_gx1v7_simyr1850_c200806.nc for: {'hgrid': '0.9x1.25', 'maxpft': '17', 'mask': 'gx1v7', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '18500101', 'sim_year': '1850', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_GSWP3v1', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_esmf/ctsm5.3/clmi.interp_from.I1850Clm50BgcCrop-ciso.1366-01-01.0.9x1.25_gx1v7_simyr1850_c240223.nc for: {'hgrid': '0.9x1.25', 'maxpft': '79', 'mask': 'gx1v7', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '18500101', 'sim_year': '1850', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.false.', 'lnd_tuning_mode': 'clm5_0_GSWP3v1', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_esmf/ctsm5.4/clmi.f09_interp_from.ctsm5.4.CMIP7_ciso_ctsm5.3.075_f09_124_pSASU.clm2.r.0161_c251118.nc for: {'hgrid': '0.9x1.25', 'maxpft': '79', 'mask': 'tx2_3v2', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '18500101', 'sim_year': '1850', 'do_transient_pfts': '.false.', 'use_excess_ice': '.true.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.false.', 'phys': 'clm6_0'}
is lnd/clm2/initdata_esmf/ctsm5.2/clmi.I1850Clm50BgcCropCru-ciso.1526-01-01.0.9x1.25_gx1v7_simyr1850_c240223.nc for: {'hgrid': '0.9x1.25', 'maxpft': '79', 'mask': 'gx1v7', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '18500101', 'sim_year': '1850', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.false.', 'lnd_tuning_mode': 'clm5_0_CRUv7', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.B1850Clm50BgcCrop.0161-01-01.0.9x1.25_gx1v7_simyr1850_c200729.nc for: {'hgrid': '0.9x1.25', 'maxpft': '79', 'mask': 'gx1v7', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '18500101', 'sim_year': '1850', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.B1850Clm50BgcCrop.0161-01-01.0.9x1.25_gx1v7_simyr1850_c200729.nc for: {'hgrid': '0.9x1.25', 'maxpft': '79', 'mask': 'gx1v7', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '18500101', 'sim_year': '1850', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.I1850Clm50SpCru.1706-01-01.0.9x1.25_gx1v7_simyr1850_c200806.nc for: {'hgrid': '0.9x1.25', 'maxpft': '17', 'mask': 'gx1v7', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '18500101', 'sim_year': '1850', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_CRUv7', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_esmf/ctsm5.4/ctsm5.4.CMIP7_ciso_ctsm5.3.075_SP_f09_127_1850.clm2.r.0102-01-01-00000.nc for: {'hgrid': '0.9x1.25', 'maxpft': '17', 'mask': 'tx2_3v2', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '18500101', 'sim_year': '1850', 'do_transient_pfts': '.false.', 'use_excess_ice': '.true.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'phys': 'clm6_0'}
is lnd/clm2/initdata_esmf/ctsm5.4/ctsm5.4.CMIP7_ciso_ctsm5.3.075_SP_f09_127_HIST.clm2.r.2000-01-01-00000.nc for: {'hgrid': '0.9x1.25', 'maxpft': '17', 'mask': 'tx2_3v2', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20000101', 'sim_year': '2000', 'do_transient_pfts': '.false.', 'use_excess_ice': '.true.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'phys': 'clm6_0'}
is lnd/clm2/initdata_esmf/ctsm5.4/ctsm5.4.CMIP7_ciso_ctsm5.3.075_SP_ne30_126_HIST.clm2.r.2000-01-01-00000.nc for: {'hgrid': 'ne30np4.pg3', 'maxpft': '17', 'mask': 'tx2_3v2', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20000101', 'sim_year': '2000', 'do_transient_pfts': '.false.', 'use_excess_ice': '.true.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'phys': 'clm6_0'}
is lnd/clm2/initdata_esmf/ctsm5.4/ctsm5.4.CMIP7_ciso_ctsm5.3.075_f09_124_pSASU.clm2.r.0161-01-01-00000.nc for: {'hgrid': '0.9x1.25', 'mask': 'tx2_3v2', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '18500101', 'sim_year': '1850', 'do_transient_pfts': '.false.', 'use_excess_ice': '.true.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'phys': 'clm6_0'}
is lnd/clm2/initdata_esmf/ctsm5.4/ctsm5.4.015_BGCcrop_ne30_144_pSASU.clm2.r.0181-01-01-00000.nc for: {'hgrid': 'ne30np4.pg3', 'mask': 'tx2_3v2', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1850', 'do_transient_pfts': '.false.', 'use_excess_ice': '.true.', 'use_crop': '.true.', 'phys': 'clm6_0'}
is lnd/clm2/initdata_esmf/ctsm5.4/ctsm5.4.CMIP7_ciso_ctsm5.3.075_f19_125_pSASU.clm2.r.0161-01-01-00000.nc for: {'hgrid': '1.9x2.5', 'mask': 'tx2_3v2', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1850', 'do_transient_pfts': '.false.', 'use_excess_ice': '.true.', 'use_crop': '.false.', 'phys': 'clm6_0'}
is lnd/clm2/initdata_esmf/ctsm5.2/clmi.I2000Clm50BgcCrop.2011-01-01.1.9x2.5_gx1v7_gl4_simyr2000_c240223.nc for: {'hgrid': '1.9x2.5', 'maxpft': '79', 'mask': 'gx1v7', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20110101', 'sim_year': '2000', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm4_5_GSWP3v1', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_esmf/ctsm5.2/clmi.I2000Clm50BgcCrop.2011-01-01.1.9x2.5_gx1v7_gl4_simyr2000_c240223.nc for: {'hgrid': '1.9x2.5', 'maxpft': '79', 'mask': 'gx1v7', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20110101', 'sim_year': '2000', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm4_5_CRUv7', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_esmf/ctsm5.4/clmi.f19_twiceinterp_from.I1850Clm50BgcCrop-ciso.1366-01-01.0.9x1.25_gx1v7_simyr1850_c251030.nc for: {'hgrid': '1.9x2.5', 'maxpft': '79', 'mask': 'gx1v7', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20110101', 'sim_year': '2000', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_GSWP3v1'}
is lnd/clm2/initdata_esmf/ctsm5.4/ctsm53065_54surfdata_PPEcal115_115_HIST.clm2.r.2000-01-01-00000.nc for: {'hgrid': '1.9x2.5', 'maxpft': '79', 'mask': 'tx2_3v2', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20000101', 'sim_year': '2000', 'do_transient_pfts': '.false.', 'use_excess_ice': '.true.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'phys': 'clm6_0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_esmf/ctsm5.2/clmi.I2000Clm50BgcCrop.2011-01-01.1.9x2.5_gx1v7_gl4_simyr2000_c240223.nc for: {'hgrid': '1.9x2.5', 'maxpft': '79', 'mask': 'gx1v7', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20110101', 'sim_year': '2000', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_CRUv7', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.BHIST.2000-01-01.0.9x1.25_gx1v7_simyr1979_c200806.nc for: {'hgrid': '0.9x1.25', 'maxpft': '17', 'mask': 'gx1v7', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '19790101', 'sim_year': '1979', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm4_5_cam7.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.BHIST.2000-01-01.0.9x1.25_gx1v7_simyr1979_c200806.nc for: {'hgrid': '0.9x1.25', 'maxpft': '17', 'mask': 'gx1v7', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '19790101', 'sim_year': '1979', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm4_5_cam6.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.BHIST.2000-01-01.0.9x1.25_gx1v7_simyr1979_c200806.nc for: {'hgrid': '0.9x1.25', 'maxpft': '17', 'mask': 'gx1v7', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '19790101', 'sim_year': '1979', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.BHIST.2000-01-01.1.9x2.5_gx1v7_simyr1979_c200806.nc for: {'hgrid': '1.9x2.5', 'maxpft': '17', 'mask': 'gx1v7', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '19790101', 'sim_year': '1979', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.FHISTSp.1979-01-01.ARCTIC_ne30x4_mt12_simyr1979_c200806.nc for: {'hgrid': 'ne0np4.ARCTIC.ne30x4', 'maxpft': '17', 'mask': 'tx0.1v2', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '19790101', 'sim_year': '1979', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.FHISTSp.1979-01-01.ARCTICGRIS_ne30x8_mt12_simyr1979_c200806.nc for: {'hgrid': 'ne0np4.ARCTICGRIS.ne30x8', 'maxpft': '17', 'mask': 'tx0.1v2', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '19790101', 'sim_year': '1979', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.F2000.2000-01-01.ne120pg3_mt13_simyr2000_c200728.nc for: {'hgrid': 'ne120np4.pg3', 'maxpft': '79', 'mask': 'tx0.1v3', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '19790101', 'sim_year': '1979', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm6_0_cam7.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.F2000.2000-01-01.ne120pg3_mt13_simyr2000_c200728.nc for: {'hgrid': 'ne120np4.pg3', 'maxpft': '79', 'mask': 'tx0.1v3', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20000101', 'sim_year': '2000', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.BHIST.2000-01-01.0.9x1.25_gx1v7_simyr2000_c200728.nc for: {'hgrid': '0.9x1.25', 'maxpft': '79', 'mask': 'gx1v7', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20000101', 'sim_year': '2000', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_esmf/ctsm5.4/ctsm5.4.CMIP7_ciso_ctsm5.3.075_f09_124_HIST.clm2.r.2000-01-01-00000.nc for: {'hgrid': '0.9x1.25', 'maxpft': '79', 'mask': 'tx2_3v2', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20000101', 'sim_year': '2000', 'use_excess_ice': '.true.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'phys': 'clm6_0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_esmf/ctsm5.4/ctsm5.4.CMIP7_ciso_ctsm5.3.075_ne30_123_HIST_popDens.clm2.r.2000-01-01-00000.nc for: {'hgrid': 'ne30np4.pg3', 'maxpft': '79', 'mask': 'tx2_3v2', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20000101', 'sim_year': '2000', 'use_excess_ice': '.true.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'phys': 'clm6_0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_esmf/ctsm5.4/ctsm5.4.CMIP7_ciso_ctsm5.3.075_f09_124_HIST.clm2.r.2010-01-01-00000.nc for: {'hgrid': '0.9x1.25', 'maxpft': '79', 'mask': 'tx2_3v2', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20100101', 'sim_year': '2010', 'use_excess_ice': '.true.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'phys': 'clm6_0'}
is lnd/clm2/initdata_esmf/ctsm5.4/ctsm5.4.CMIP7_ciso_ctsm5.3.075_ne30_123_HIST_popDens.clm2.r.2010-01-01-00000.nc for: {'hgrid': 'ne30np4.pg3', 'maxpft': '79', 'mask': 'tx2_3v2', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20100101', 'sim_year': '2010', 'use_excess_ice': '.true.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'phys': 'clm6_0'}
is lnd/clm2/initdata_map/clmi.FHISTSp.2013-01-01.ne0CONUSne30x8_mt12_simyr2013_c200806.nc for: {'hgrid': 'ne0np4CONUS.ne30x8', 'maxpft': '17', 'mask': 'tx0.1v2', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20130101', 'sim_year': '2013', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'use_init_interp': '.true.'}
is cesm2_init/b.e21.BHIST.f09_g17.CMIP6-historical.010/2015-01-01/b.e21.BHIST.f09_g17.CMIP6-historical.010.clm2.r.2015-01-01-00000.nc for: {'hgrid': '0.9x1.25', 'maxpft': '78', 'mask': 'gx1v7', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20150101', 'sim_year': '2015', 'do_transient_pfts': '.true.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_esmf/ctsm5.4/ctsm5.4.CMIP7_ciso_ctsm5.3.075_f09_124_HIST.clm2.r.1979-01-01-00000.nc for: {'hgrid': '0.9x1.25', 'maxpft': '79', 'mask': 'tx2_3v2', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '19790101', 'sim_year': '1979', 'use_excess_ice': '.true.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'phys': 'clm6_0'}
is lnd/clm2/initdata_esmf/ctsm5.4/ctsm5.4.CMIP7_ciso_ctsm5.3.075_ne30_123_HIST_popDens.clm2.r.1979-01-01-00000.nc for: {'hgrid': 'ne30np4.pg3', 'maxpft': '79', 'mask': 'tx2_3v2', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '19790101', 'sim_year': '1979', 'use_excess_ice': '.true.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'phys': 'clm6_0'}
is lnd/clm2/initdata_map/clmi.FHISTSp.1979-01-01.ARCTIC_ne30x4_mt12_simyr1979_c200806.nc for: {'hgrid': 'ne0np4.ARCTIC.ne30x4', 'maxpft': '17', 'mask': 'tx0.1v2', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '19790101', 'sim_year': '1979', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm6_0_cam7.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.FHISTSp.1979-01-01.ARCTICGRIS_ne30x8_mt12_simyr1979_c200806.nc for: {'hgrid': 'ne0np4.ARCTICGRIS.ne30x8', 'maxpft': '17', 'mask': 'tx0.1v2', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '19790101', 'sim_year': '1979', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm6_0_cam7.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.F2000.2000-01-01.ne120pg3_mt13_simyr2000_c200728.nc for: {'hgrid': 'ne120np4.pg3', 'maxpft': '79', 'mask': 'tx0.1v3', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '2000101', 'sim_year': '2000', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm6_0_cam7.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.FHISTSp.2013-01-01.ne0CONUSne30x8_mt12_simyr2013_c200806.nc for: {'hgrid': 'ne0np4CONUS.ne30x8', 'maxpft': '17', 'mask': 'tx0.1v2', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20130101', 'sim_year': '2013', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm6_0_cam7.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.BHIST.2000-01-01.0.9x1.25_gx1v7_simyr1979_c200806.nc for: {'hgrid': '0.9x1.25', 'maxpft': '17', 'mask': 'gx1v7', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '19790101', 'sim_year': '1979', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.BHIST.2000-01-01.1.9x2.5_gx1v7_simyr1979_c200806.nc for: {'hgrid': '1.9x2.5', 'maxpft': '17', 'mask': 'gx1v7', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '19790101', 'sim_year': '1979', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.FHISTSp.1979-01-01.ARCTIC_ne30x4_mt12_simyr1979_c200806.nc for: {'hgrid': 'ne0np4.ARCTIC.ne30x4', 'maxpft': '17', 'mask': 'tx0.1v2', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '19790101', 'sim_year': '1979', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.FHISTSp.1979-01-01.ARCTICGRIS_ne30x8_mt12_simyr1979_c200806.nc for: {'hgrid': 'ne0np4.ARCTICGRIS.ne30x8', 'maxpft': '17', 'mask': 'tx0.1v2', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '19790101', 'sim_year': '1979', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.F2000.2000-01-01.ne120pg3_mt13_simyr2000_c200728.nc for: {'hgrid': 'ne120np4.pg3', 'maxpft': '79', 'mask': 'tx0.1v3', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '2000101', 'sim_year': '2000', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.BHIST.2000-01-01.0.9x1.25_gx1v7_simyr2000_c200728.nc for: {'hgrid': '0.9x1.25', 'maxpft': '79', 'mask': 'gx1v7', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20000101', 'sim_year': '2000', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.BHISTSp.2000-01-01.1.9x2.5_gx1v7_simyr2003_c200807.nc for: {'hgrid': '1.9x2.5', 'maxpft': '17', 'mask': 'gx1v7', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20030101', 'sim_year': '2003', 'do_transient_pfts': '.true.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.FHISTSp.2013-01-01.ne0CONUSne30x8_mt12_simyr2013_c200806.nc for: {'hgrid': 'ne0np4CONUS.ne30x8', 'maxpft': '17', 'mask': 'tx0.1v2', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20130101', 'sim_year': '2013', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.FHISTSp.1979-01-01.ARCTIC_ne30x4_mt12_simyr1979_c200806.nc for: {'hgrid': 'ne0np4.ARCTIC.ne30x4', 'maxpft': '17', 'mask': 'tx0.1v2', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '19790101', 'sim_year': '1979', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm6_0_cam6.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.FHISTSp.1979-01-01.ARCTICGRIS_ne30x8_mt12_simyr1979_c200806.nc for: {'hgrid': 'ne0np4.ARCTICGRIS.ne30x8', 'maxpft': '17', 'mask': 'tx0.1v2', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '19790101', 'sim_year': '1979', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm6_0_cam6.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.F2000.2000-01-01.ne120pg3_mt13_simyr2000_c200728.nc for: {'hgrid': 'ne120np4.pg3', 'maxpft': '79', 'mask': 'tx0.1v3', 'use_cn': '.true.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '2000101', 'sim_year': '2000', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.true.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm6_0_cam6.0', 'use_init_interp': '.true.'}
is lnd/clm2/initdata_map/clmi.FHISTSp.2013-01-01.ne0CONUSne30x8_mt12_simyr2013_c200806.nc for: {'hgrid': 'ne0np4CONUS.ne30x8', 'maxpft': '17', 'mask': 'tx0.1v2', 'use_cn': '.false.', 'use_cndv': '.false.', 'use_fates': '.false.', 'ic_ymd': '20130101', 'sim_year': '2013', 'do_transient_pfts': '.false.', 'use_excess_ice': '.false.', 'ic_tod': '0', 'glc_nec': '10', 'use_crop': '.false.', 'irrigate': '.true.', 'lnd_tuning_mode': 'clm6_0_cam6.0', 'use_init_interp': '.true.'}
Full pathname of initial conditions file. If blank CLM will startup from
arbitrary initial conditions.
flanduse_timeseries dynamic_subgrid datasets char*512 ['any char'] is null for: {'sim_year_range': 'constant', 'ssp_rcp': 'hist'}
is lnd/clm2/surfdata/landuse.timeseries_${clm_usr_name}_simyr${sim_year_range}.nc for: {'ssp_rcp': 'hist'}
is lnd/clm2/surfdata/landuse.timeseries_${clm_usr_name}_simyr1849-2006.nc for: {'sim_year_range': '1850-2000', 'ssp_rcp': 'hist'}
lnd/clm2/surfdata/landuse.timeseries_${ssp_rcp}_${clm_usr_name}_simyr${sim_year_range}.nc
is lnd/clm2/surfdata/landuse.timeseries_${ssp_rcp}_${clm_usr_name}_simyr1849-2006.nc for: {'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_1.9x2.5_hist_1850-2023_16pfts_c251022.nc for: {'hgrid': '1.9x2.5', 'sim_year_range': '1850-2000', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_4x5_hist_1850-2023_16pfts_c251022.nc for: {'hgrid': '4x5', 'sim_year_range': '1850-2000', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_1.9x2.5_hist_1850-2023_16pfts_c251022.nc for: {'hgrid': '1.9x2.5', 'sim_year_range': '1850-2000', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_10x15_hist_1850-2023_16pfts_c251022.nc for: {'hgrid': '10x15', 'sim_year_range': '1850-2000', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_ne30np4.pg3_hist_1850-2023_16pfts_c251022.nc for: {'hgrid': 'ne30np4.pg3', 'sim_year_range': '1850-2000', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_0.9x1.25_hist_1850-2023_78pfts_c251022.nc for: {'hgrid': '0.9x1.25', 'sim_year_range': '1850-2000', 'cmip_era': 'cmip7'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_0.9x1.25_SSP2-4.5_1850-2100_78pfts_c240908.nc for: {'hgrid': '0.9x1.25', 'sim_year_range': '1850-2000', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_1.9x2.5_hist_1850-2023_78pfts_c251022.nc for: {'hgrid': '1.9x2.5', 'sim_year_range': '1850-2000', 'use_crop': '.true.', 'cmip_era': 'cmip7'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_1.9x2.5_SSP2-4.5_1850-2100_78pfts_c240908.nc for: {'hgrid': '1.9x2.5', 'sim_year_range': '1850-2000', 'use_crop': '.true.', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_ne0np4.ARCTICGRIS.ne30x8_hist_1979-2023_78pfts_c251022.nc for: {'hgrid': 'ne0np4.ARCTICGRIS.ne30x8', 'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_ne0np4.ARCTIC.ne30x4_hist_1979-2023_78pfts_c251022.nc for: {'hgrid': 'ne0np4.ARCTIC.ne30x4', 'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_ne0np4.NATL.ne30x8_hist_1979-2023_78pfts_c251022.nc for: {'hgrid': 'ne0np4.NATL.ne30x8', 'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_ne0np4.POLARCAP.ne30x4_hist_1979-2023_78pfts_c251022.nc for: {'hgrid': 'ne0np4.POLARCAP.ne30x4', 'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_ne0np4CONUS.ne30x8_hist_1979-2023_78pfts_c251022.nc for: {'hgrid': 'ne0np4CONUS.ne30x8', 'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_ne120np4.pg3_hist_1979-2023_78pfts_c251022.nc for: {'hgrid': 'ne120np4.pg3', 'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_4x5_hist_1850-2023_78pfts_c251022.nc for: {'hgrid': '4x5', 'sim_year_range': '1850-2000', 'use_crop': '.true.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_10x15_hist_1850-2023_78pfts_c251022.nc for: {'hgrid': '10x15', 'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_360x720cru_hist_1850-2023_78pfts_c251022.nc for: {'hgrid': '360x720cru', 'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_1x1_brazil_hist_1850-2023_78pfts_c251023.no_nan_fill.nc for: {'hgrid': '1x1_brazil', 'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_mpasa120_hist_1850-2023_78pfts_c251022.nc for: {'hgrid': 'mpasa120', 'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_ne3np4_hist_1850-2023_78pfts_c251022.nc for: {'hgrid': 'ne3np4', 'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_ne3np4.pg2_hist_1850-2023_78pfts_c251022.nc for: {'hgrid': 'ne3np4.pg2', 'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_ne3np4.pg3_hist_1850-2023_78pfts_c251022.nc for: {'hgrid': 'ne3np4.pg3', 'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_ne16np4.pg3_hist_1850-2023_78pfts_c251022.nc for: {'hgrid': 'ne16np4.pg3', 'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_ne30np4_hist_1850-2023_78pfts_c251022.nc for: {'hgrid': 'ne30np4', 'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_ne30np4.pg2_hist_1850-2023_78pfts_c251022.nc for: {'hgrid': 'ne30np4.pg2', 'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_ne30np4.pg3_hist_1850-2023_78pfts_c251022.nc for: {'hgrid': 'ne30np4.pg3', 'sim_year_range': '1850-2000', 'cmip_era': 'cmip7'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_ne30np4.pg3_SSP2-4.5_1850-2100_78pfts_c240908.nc for: {'hgrid': 'ne30np4.pg3', 'sim_year_range': '1850-2000', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/landuse.timeseries_C96_hist_1850-2023_78pfts_c251022.nc for: {'hgrid': 'C96', 'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/synthetic/landuse.timeseries_1x1_smallvilleIA_synth_1850-1855_78pfts_c251023.no_nan_fill.nc for: {'hgrid': '1x1_smallvilleIA', 'sim_year_range': '1850-2000'}
is None for: {'hgrid': '1x1_cidadinhoBR', 'sim_year_range': '1850-2000'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_0.9x1.25_SSP1-2.6_1850-2100_78pfts_c240908.nc for: {'hgrid': '0.9x1.25', 'sim_year_range': '1850-2100', 'ssp_rcp': 'SSP1-2.6', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_0.9x1.25_SSP2-4.5_1850-2100_78pfts_c240908.nc for: {'hgrid': '0.9x1.25', 'sim_year_range': '1850-2100', 'ssp_rcp': 'SSP2-4.5', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_1.9x2.5_SSP2-4.5_1850-2100_78pfts_c240908.nc for: {'hgrid': '1.9x2.5', 'sim_year_range': '1850-2100', 'ssp_rcp': 'SSP2-4.5', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_4x5_SSP2-4.5_1850-2100_78pfts_c240908.nc for: {'hgrid': '4x5', 'sim_year_range': '1850-2100', 'ssp_rcp': 'SSP2-4.5', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_10x15_SSP2-4.5_1850-2100_78pfts_c240908.nc for: {'hgrid': '10x15', 'sim_year_range': '1850-2100', 'ssp_rcp': 'SSP2-4.5', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_360x720cru_SSP2-4.5_1850-2100_78pfts_c240908.nc for: {'hgrid': '360x720cru', 'sim_year_range': '1850-2100', 'ssp_rcp': 'SSP2-4.5', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_1x1_brazil_SSP2-4.5_1850-2100_78pfts_c240912.no_nan_fill.nc for: {'hgrid': '1x1_brazil', 'sim_year_range': '1850-2100', 'ssp_rcp': 'SSP2-4.5', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_mpasa120_SSP2-4.5_1850-2100_78pfts_c240908.nc for: {'hgrid': 'mpasa120', 'sim_year_range': '1850-2100', 'ssp_rcp': 'SSP2-4.5', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_ne3np4_SSP2-4.5_1850-2100_78pfts_c240926.nc for: {'hgrid': 'ne3np4', 'sim_year_range': '1850-2100', 'ssp_rcp': 'SSP2-4.5', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_ne3np4.pg3_SSP2-4.5_1850-2100_78pfts_c240908.nc for: {'hgrid': 'ne3np4.pg3', 'sim_year_range': '1850-2100', 'ssp_rcp': 'SSP2-4.5', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_ne16np4.pg3_SSP2-4.5_1850-2100_78pfts_c240908.nc for: {'hgrid': 'ne16np4.pg3', 'sim_year_range': '1850-2100', 'ssp_rcp': 'SSP2-4.5', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_ne30np4.pg3_SSP2-4.5_1850-2100_78pfts_c240908.nc for: {'hgrid': 'ne30np4.pg3', 'sim_year_range': '1850-2100', 'ssp_rcp': 'SSP2-4.5', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_C96_SSP2-4.5_1850-2100_78pfts_c240908.nc for: {'hgrid': 'C96', 'sim_year_range': '1850-2100', 'ssp_rcp': 'SSP2-4.5', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_0.9x1.25_SSP3-7.0_1850-2100_78pfts_c240908.nc for: {'hgrid': '0.9x1.25', 'sim_year_range': '1850-2100', 'ssp_rcp': 'SSP3-7.0', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_0.9x1.25_SSP4-6.0_1850-2100_78pfts_c240908.nc for: {'hgrid': '0.9x1.25', 'sim_year_range': '1850-2100', 'ssp_rcp': 'SSP4-6.0', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/landuse.timeseries_0.9x1.25_SSP5-8.5_1850-2100_78pfts_c240908.nc for: {'hgrid': '0.9x1.25', 'sim_year_range': '1850-2100', 'ssp_rcp': 'SSP5-8.5', 'cmip_era': 'cmip6'}
Full pathname of time varying landuse data file. This causes the land-use types of
the initial surface dataset to vary over time.
flandusepftdat clm_inparm datasets char*512 ['any char'] is lnd/clm2/surfdata_map/fates-sci.1.77.0_api.36.0.0/fates_landuse_pft_map_4x5_240206.no_nan_fill.nc for: {'hgrid': '4x5', 'use_fates': '.true.'}
Full pathname of fates landuse x pft association static data map.
The file associates land use types with pfts across a static global map.
This file is necessary for running FATES with use_fates_luh,
use_fates_nocomp, and use_fates_fixedbiogeo engaged (note that use_fates_lupft
is provided as a namelist option to engage all necessary options).  The file is output
by the FATES land use data tool (https://github.com/NGEET/tools-fates-landusedata)
which processes the raw land use data from the THEMIS tool data sets
(https://doi.org/10.5065/29s7-7b41)
fluh_timeseries clm_inparm datasets char*512 ['any char'] is lnd/clm2/surfdata_map/fates-sci.1.68.3_api.31.0.0_tools.1.0.1/LUH2_states_transitions_management.timeseries_4x5_hist_simyr1850-2015_c231101.no_nan_fill.nc for: {'hgrid': '4x5', 'sim_year_range': '1850-2000', 'use_fates': '.true.'}
is lnd/clm2/surfdata_map/fates-sci.1.68.3_api.31.0.0_tools.1.0.1/LUH2_states_transitions_management.timeseries_4x5_hist_simyr0850-2015_c240216.no_nan_fill.nc for: {'hgrid': '4x5', 'sim_year_range': 'constant', 'use_fates': '.true.'}
Full pathname of unified land use harmonization (LUH) data file. This causes the land-use
types to vary over time.
(Required, if use_fates_luh=T)
(Only relevant if FATES is on).
flush_gdd20 clm_inparm datasets logical ['.true.', '.false.'] .false.
Set this to true to flush the accumulated GDD20 variables as soon as possible.
fsnowaging clm_inparm datasets char*512 ['any char'] lnd/clm2/snicardata/snicar_drdt_bst_fit_60_c070416.nc
SNICAR (SNow, ICe, and Aerosol Radiative model) snow aging data file name
fsnowoptics clm_inparm datasets char*512 ['any char'] is lnd/clm2/snicardata/snicar_optics_480bnd_c012422.nc for: {'snicar_numrad_snw': '480'}
is lnd/clm2/snicardata/snicar_optics_5bnd_c013122.nc for: {'snicar_numrad_snw': '5'}
SNICAR (SNow, ICe, and Aerosol Radiative model) optical data file name
fsurdat clm_inparm datasets char*512 ['any char'] is lnd/clm2/surfdata/surfdata_${clm_usr_name}_simyr${sim_year}.nc for: {'phys': 'clm4_0'}
is lnd/clm2/surfdata_map/surfdata_${clm_usr_name}_simyr${sim_year}.nc for: {'phys': 'clm4_5'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_0.9x1.25_hist_2000_16pfts_c251022.nc for: {'hgrid': '0.9x1.25', 'sim_year': '2000', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_1.9x2.5_hist_2000_16pfts_c251022.nc for: {'hgrid': '1.9x2.5', 'sim_year': '2000', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_10x15_hist_2000_16pfts_c251022.nc for: {'hgrid': '10x15', 'sim_year': '2000', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_4x5_hist_2000_16pfts_c251022.nc for: {'hgrid': '4x5', 'sim_year': '2000', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne30np4.pg3_hist_2000_16pfts_c251022.nc for: {'hgrid': 'ne30np4.pg3', 'sim_year': '2000', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_mpasa60_hist_2000_16pfts_c251022.nc for: {'hgrid': 'mpasa60', 'sim_year': '2000', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_mpasa30_hist_2000_16pfts_c251022.nc for: {'hgrid': 'mpasa30', 'sim_year': '2000', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_mpasa15_hist_2000_16pfts_c251022.nc for: {'hgrid': 'mpasa15', 'sim_year': '2000', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_mpasa3p75_hist_2000_16pfts_c251022.nc for: {'hgrid': 'mpasa3p75', 'sim_year': '2000', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_0.9x1.25_hist_2000_78pfts_c251022.nc for: {'hgrid': '0.9x1.25', 'sim_year': '2000', 'use_crop': '.true.', 'cmip_era': 'cmip7'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/surfdata_0.9x1.25_hist_2000_78pfts_c240908.nc for: {'hgrid': '0.9x1.25', 'sim_year': '2000', 'use_crop': '.true.', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_1.9x2.5_hist_2000_78pfts_c251022.nc for: {'hgrid': '1.9x2.5', 'sim_year': '2000', 'use_crop': '.true.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_10x15_hist_2000_78pfts_c251022.nc for: {'hgrid': '10x15', 'sim_year': '2000', 'use_crop': '.true.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_4x5_hist_2000_78pfts_c251022.nc for: {'hgrid': '4x5', 'sim_year': '2000', 'use_crop': '.true.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_1x1_brazil_hist_2000_78pfts_c251023.no_nan_fill.nc for: {'hgrid': '1x1_brazil', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_5x5_amazon_hist_2000_78pfts_c251022.nc for: {'hgrid': '5x5_amazon', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne30np4_hist_2000_78pfts_c251022.nc for: {'hgrid': 'ne30np4', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne30np4.pg2_hist_2000_78pfts_c251022.nc for: {'hgrid': 'ne30np4.pg2', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne30np4.pg3_hist_2000_78pfts_c251022.nc for: {'hgrid': 'ne30np4.pg3', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne16np4.pg3_hist_2000_78pfts_c251022.nc for: {'hgrid': 'ne16np4.pg3', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_0.125nldas2_hist_2000_78pfts_c251022.nc for: {'hgrid': '0.125nldas2', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_360x720cru_hist_2000_78pfts_c251022.nc for: {'hgrid': '360x720cru', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_C96_hist_2000_78pfts_c251022.nc for: {'hgrid': 'C96', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_1x1_numaIA_hist_2000_78pfts_c251023.no_nan_fill.nc for: {'hgrid': '1x1_numaIA', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_mpasa480_hist_2000_78pfts_c251022.nc for: {'hgrid': 'mpasa480', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_mpasa120_hist_2000_78pfts_c251022.nc for: {'hgrid': 'mpasa120', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne3np4_hist_2000_78pfts_c251022.nc for: {'hgrid': 'ne3np4', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne3np4.pg2_hist_2000_78pfts_c251022.nc for: {'hgrid': 'ne3np4.pg2', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne3np4.pg3_hist_2000_78pfts_c251022.nc for: {'hgrid': 'ne3np4.pg3', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne120np4.pg3_hist_2000_78pfts_c251022.nc for: {'hgrid': 'ne120np4.pg3', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne0np4.ARCTICGRIS.ne30x8_hist_2000_78pfts_c251022.nc for: {'hgrid': 'ne0np4.ARCTICGRIS.ne30x8', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne0np4.ARCTIC.ne30x4_hist_2000_78pfts_c251022.nc for: {'hgrid': 'ne0np4.ARCTIC.ne30x4', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne0np4.NATL.ne30x8_hist_2000_78pfts_c251022.nc for: {'hgrid': 'ne0np4.NATL.ne30x8', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne0np4.POLARCAP.ne30x4_hist_2000_78pfts_c251022.nc for: {'hgrid': 'ne0np4.POLARCAP.ne30x4', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne0np4CONUS.ne30x8_hist_2000_78pfts_c251022.nc for: {'hgrid': 'ne0np4CONUS.ne30x8', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_1x1_vancouverCAN_hist_2000_78pfts_c251023.no_nan_fill.nc for: {'hgrid': '1x1_vancouverCAN', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_1x1_mexicocityMEX_hist_2000_78pfts_c251023.no_nan_fill.nc for: {'hgrid': '1x1_mexicocityMEX', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/synthetic/surfdata_1x1_urbanc_alpha_synth_hist_2000_78pfts_c251023.no_nan_fill.nc for: {'hgrid': '1x1_urbanc_alpha', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_1.9x2.5_hist_1850_16pfts_c251022.nc for: {'hgrid': '1.9x2.5', 'sim_year': '1850', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_4x5_hist_1850_16pfts_c251022.nc for: {'hgrid': '4x5', 'sim_year': '1850', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_1.9x2.5_hist_1850_16pfts_c251022.nc for: {'hgrid': '1.9x2.5', 'sim_year': '1850', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_10x15_hist_1850_16pfts_c251022.nc for: {'hgrid': '10x15', 'sim_year': '1850', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne30np4.pg3_hist_1850_16pfts_c251022.nc for: {'hgrid': 'ne30np4.pg3', 'sim_year': '1850', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_360x720cru_hist_1850_78pfts_c251022.nc for: {'hgrid': '360x720cru', 'sim_year': '1850'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_0.9x1.25_hist_1850_78pfts_c251022.nc for: {'hgrid': '0.9x1.25', 'sim_year': '1850', 'cmip_era': 'cmip7'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/surfdata_0.9x1.25_hist_1850_78pfts_c240908.nc for: {'hgrid': '0.9x1.25', 'sim_year': '1850', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_1.9x2.5_hist_1850_78pfts_c251022.nc for: {'hgrid': '1.9x2.5', 'sim_year': '1850', 'use_crop': '.true.', 'cmip_era': 'cmip7'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/surfdata_1.9x2.5_hist_1850_78pfts_c240908.nc for: {'hgrid': '1.9x2.5', 'sim_year': '1850', 'use_crop': '.true.', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_10x15_hist_1850_78pfts_c251022.nc for: {'hgrid': '10x15', 'sim_year': '1850', 'cmip_era': 'cmip7'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/surfdata_10x15_hist_1850_78pfts_c240908.nc for: {'hgrid': '10x15', 'sim_year': '1850', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_4x5_hist_1850_78pfts_c251022.nc for: {'hgrid': '4x5', 'sim_year': '1850', 'use_crop': '.true.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_mpasa480_hist_1850_78pfts_c251022.nc for: {'hgrid': 'mpasa480', 'sim_year': '1850'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_mpasa120_hist_1850_78pfts_c251022.nc for: {'hgrid': 'mpasa120', 'sim_year': '1850'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne30np4_hist_1850_78pfts_c251022.nc for: {'hgrid': 'ne30np4', 'sim_year': '1850'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne30np4.pg2_hist_1850_78pfts_c251022.nc for: {'hgrid': 'ne30np4.pg2', 'sim_year': '1850'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne30np4.pg3_hist_1850_78pfts_c251022.nc for: {'hgrid': 'ne30np4.pg3', 'sim_year': '1850', 'cmip_era': 'cmip7'}
is lnd/clm2/surfdata_esmf/ctsm5.3.0/surfdata_ne30np4.pg3_hist_1850_78pfts_c240908.nc for: {'hgrid': 'ne30np4.pg3', 'sim_year': '1850', 'cmip_era': 'cmip6'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne3np4.pg3_hist_1850_78pfts_c251022.nc for: {'hgrid': 'ne3np4.pg3', 'sim_year': '1850'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne3np4.pg2_hist_1850_78pfts_c251022.nc for: {'hgrid': 'ne3np4.pg2', 'sim_year': '1850'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne3np4_hist_1850_78pfts_c251022.nc for: {'hgrid': 'ne3np4', 'sim_year': '1850'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_C96_hist_1850_78pfts_c251022.nc for: {'hgrid': 'C96', 'sim_year': '1850'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/synthetic/surfdata_1x1_smallvilleIA_synth_hist_1850_78pfts_c251023.no_nan_fill.nc for: {'hgrid': '1x1_smallvilleIA', 'sim_year': '1850'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/synthetic/surfdata_1x1_cidadinhoBR_synth_hist_2000_78pfts_c251023.no_nan_fill.nc for: {'hgrid': '1x1_cidadinhoBR', 'sim_year': '2000'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_1x1_brazil_hist_1850_78pfts_c251023.no_nan_fill.nc for: {'hgrid': '1x1_brazil', 'sim_year': '1850'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne16np4.pg3_hist_1850_78pfts_c251022.nc for: {'hgrid': 'ne16np4.pg3', 'sim_year': '1850'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne0np4.ARCTICGRIS.ne30x8_hist_1979_78pfts_c251022.nc for: {'hgrid': 'ne0np4.ARCTICGRIS.ne30x8', 'sim_year': '1850'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne0np4.ARCTIC.ne30x4_hist_1979_78pfts_c251022.nc for: {'hgrid': 'ne0np4.ARCTIC.ne30x4', 'sim_year': '1850'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne0np4.NATL.ne30x8_hist_1979_78pfts_c251022.nc for: {'hgrid': 'ne0np4.NATL.ne30x8', 'sim_year': '1850'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne0np4.POLARCAP.ne30x4_hist_1979_78pfts_c251022.nc for: {'hgrid': 'ne0np4.POLARCAP.ne30x4', 'sim_year': '1850'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne0np4CONUS.ne30x8_hist_1979_78pfts_c251022.nc for: {'hgrid': 'ne0np4CONUS.ne30x8', 'sim_year': '1850'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne120np4.pg3_hist_1979_78pfts_c251022.nc for: {'hgrid': 'ne120np4.pg3', 'sim_year': '1850'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_0.9x1.25_PtVeg_nourb_1850_16pfts_c251022.nc for: {'hgrid': '0.9x1.25', 'sim_year': 'PtVg', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_1.9x2.5_PtVeg_nourb_1850_16pfts_c251022.nc for: {'hgrid': '1.9x2.5', 'sim_year': 'PtVg', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne16np4.pg3_PtVeg_nourb_1850_16pfts_c251022.nc for: {'hgrid': 'ne16np4.pg3', 'sim_year': 'PtVg', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/ctsm5.4.0/surfdata_ne30np4.pg3_PtVeg_nourb_1850_16pfts_c251022.nc for: {'hgrid': 'ne30np4.pg3', 'sim_year': 'PtVg', 'use_crop': '.false.'}
is lnd/clm2/surfdata_esmf/NEON/ctsm5.4.0/16PFT_mixed/surfdata_1x1_NEON_${NEONSITE}_hist_2000_16pfts_c251023.no_nan_fill.nc for: {'hgrid': 'CLM_USRDAT', 'neon': '.true.', 'sim_year': '2018', 'use_fates': '.true.'}
is lnd/clm2/surfdata_esmf/NEON/ctsm5.4.0/surfdata_1x1_NEON_${NEONSITE}_hist_2000_78pfts_c251023.no_nan_fill.nc for: {'hgrid': 'CLM_USRDAT', 'neon': '.true.', 'sim_year': '2018', 'use_fates': '.false.'}
Full pathname of surface data file.
hillslope_file clm_inparm datasets char*512 ['any char']
Full pathname of hillslope data file.
init_interp_fill_missing_urban_with_HD clm_initinterp_inparm datasets logical ['.true.', '.false.'] .false.
is .true. for: {'sim_year': '1850', 'phys': 'clm6_0'}
.true.
If FALSE (which is the default): If an urban output type cannot be found in the input for initInterp,
code aborts
If TRUE: If an urban output type cannot be found in the input, fill with closest urban high density
(HD) landunit
init_interp_fill_missing_with_natveg clm_initinterp_inparm datasets logical ['.true.', '.false.']
If FALSE (which is the default): If an output type cannot be found in the input for initInterp,
code aborts
If TRUE: If a non-urban output type cannot be found in the input, fill with closest natural veg column
(using bare soil for patch-level variables)

NOTE: Natural vegetation and crop landunits always behave as if this were true. e.g., if
we can't find a column with the same type as a given crop column in the output, then we
always fill with the closest natural veg patch / column, regardless of the value of this
flag. So interpolation from non-crop to crop cases can be done without setting this flag.
init_interp_method clm_initinterp_inparm datasets char*64 ['general', 'use_finidat_areas'] general
Method to use for init_interp. Only applies when use_init_interp = .true.

'general': The general-purpose method that can be used when changing
grids, configurations, etc. This starts off with subgrid areas taken
from the surface dataset.

'use_finidat_areas': This starts off with subgrid areas taken from the
input finidat file. This is needed to achieve bit-for-bit results in a
coupled case (where areas in initialization impact initial fields sent
to the atmosphere) (but using the 'general' method will typically have
only a very minor impact on results in this case). For this method to
work, the input finidat file needs to be at the same resolution as the
current configuration. So this is a less general form of
init_interp. However, it can be used in cases where the only difference
is in internal memory allocation. In order to catch possible problems,
this uses a different algorithm for finding the input point for each
output point, which ensures that each active output point is associated
with exactly one input point with the same latitude, longitude and
type. This method requires (a) the same grid for input and output,
within roundoff; (b) any non-zero-weight point in the input must have
memory allocated for it in this grid cell in the output (this will be
satisfied if the point is non-zero-weight on the surface dataset or if
it's a point for which we allocate memory even for zero-weight points);
(c) any active point in the output (based on the surface dataset and
rules for determining active points) must have a matching point in this
grid cell in the input. (Note that this generally can NOT be used when
transitioning from a spinup run to a transient run, because spinup runs
typically have irrigation off and transient runs have irrigation on, and
the presence/absence of irrigation affects the subgrid structure; if it
weren't for that difference, then this option would be useful for this
use case.)

lai_dtlimit lai_streams datasets real ['any real']
dtlimit (ratio of max/min stream delta times) for LAI streams, which allows for cycling over a year of data
lai_mapalgo lai_streams datasets char*256 ['bilinear', 'nn', 'redist', 'consd', 'consf', 'none'] bilinear
is nn for: {'hgrid': '1x1_brazil'}
is nn for: {'hgrid': '1x1_mexicocityMEX'}
is nn for: {'hgrid': '1x1_vancouverCAN'}
is nn for: {'hgrid': '1x1_urbanc_alpha'}
is nn for: {'hgrid': '1x1_asphaltjungleNJ'}
is nn for: {'hgrid': '5x5_amazon'}
is nn for: {'hgrid': '1x1_brazil'}
is nn for: {'hgrid': '1x1_mexicocityMEX'}
is nn for: {'hgrid': '1x1_vancouverCAN'}
is nn for: {'hgrid': '1x1_urbanc_alpha'}
is nn for: {'hgrid': '1x1_asphaltjungleNJ'}
is nn for: {'hgrid': '5x5_amazon'}
Mapping method from LAI input file to the model resolution
    bilinear = bilinear interpolation
    nn       = nearest neighbor
    redist   = Redistributes data from source mesh to destination mesh
    consd    = First-order conservative interpolation
    consf    = Same as consd with fraction area normalization
    none     = no interpolation
lai_tintalgo lai_streams datasets char*80 ['linear', 'nearest', 'lower', 'upper']
Time interpolation method to use with LAI streams
lightng_tintalgo light_streams datasets char*80 ['linear', 'nearest', 'lower', 'upper']
Time interpolation method to use with Lightning streams
lightngmapalgo light_streams datasets char*256 ['bilinear', 'nn', 'redist', 'consd', 'consf', 'none'] bilinear
is nn for: {'hgrid': '1x1_brazil'}
is nn for: {'hgrid': '1x1_mexicocityMEX'}
is nn for: {'hgrid': '1x1_vancouverCAN'}
is nn for: {'hgrid': '1x1_urbanc_alpha'}
is nn for: {'hgrid': '1x1_asphaltjungleNJ'}
is nn for: {'hgrid': '5x5_amazon'}
Mapping method from Lightning input file to the model resolution
    bilinear = bilinear interpolation
    nn       = nearest neighbor
    redist   = Redistributes data from source mesh to destination mesh
    consd    = First-order conservative interpolation
    consf    = Same as consd with fraction area normalization
    none     = no interpolation
model_year_align_cropcal_cultivar_gdds cropcal_streams datasets integer ['any integer'] 2000
Simulation year that aligns with stream_year_first_cropcal_cultivar_gdds value
model_year_align_cropcal_swindows cropcal_streams datasets integer ['any integer'] 2000
Simulation year that aligns with stream_year_first_cropcal_swindows value
model_year_align_lai lai_streams datasets integer ['any integer'] 2001
Simulation year that aligns with stream_year_first_lai value
model_year_align_lightng light_streams datasets integer ['any integer']
Simulation year that aligns with stream_year_first_lightng value
model_year_align_ndep ndepdyn_nml datasets integer ['any integer'] is 2015 for: {'use_cn': '.true.', 'sim_year_range': '1850-2100'}
is 1850 for: {'use_cn': '.true.', 'sim_year': '1850', 'sim_year_range': '1850-2000'}
Simulation year that aligns with stream_year_first_ndep value
model_year_align_popdens popd_streams datasets integer ['any integer'] is 2015 for: {'cnfireson': '.true.', 'sim_year_range': '1850-2100'}
Simulation year that aligns with stream_year_first_popdens value
model_year_align_soilm soil_moisture_streams datasets integer ['any integer'] 1997
Simulation year that aligns with stream_year_first_soilm value
model_year_align_urbantv urbantv_streams datasets integer ['any integer'] is 2015 for: {'sim_year_range': '1850-2100'}
Simulation year that aligns with stream_year_first_urbantv value
ndep_taxmode ndepdyn_nml datasets char*80 ['cycle', 'extend', 'limit'] is cycle for: {'use_cn': '.true.'}
Time interpolation mode to determine how to handle data before and after the times in the file
    cycle   = Always cycle over the data
    extend  = Use the first time before the available data, and use the last time after the available data
    limit   = Only use the data within the times available -- abort if the model tries to go outside it
ndep_tintalgo ndepdyn_nml datasets char*80 ['linear', 'nearest', 'lower', 'upper']
Time interpolation method to use for Nitrogen Deposition
ndep_varlist ndepdyn_nml datasets char*256 ['any char'] is NDEP_month for: {'use_cn': '.true.'}
Colon delimited list of variables to read from the streams file for nitrogen deposition
(Normally just read the single variable NDEP_year or NDEP_month)
ndepmapalgo ndepdyn_nml datasets char*256 ['bilinear', 'nn', 'redist', 'consd', 'consf', 'none'] is bilinear for: {'use_cn': '.true.'}
is nn for: {'use_cn': '.true.', 'hgrid': '1x1_brazil'}
is nn for: {'use_cn': '.true.', 'hgrid': '1x1_mexicocityMEX'}
is nn for: {'use_cn': '.true.', 'hgrid': '1x1_vancouverCAN'}
is nn for: {'use_cn': '.true.', 'hgrid': '1x1_urbanc_alpha'}
is nn for: {'use_cn': '.true.', 'hgrid': '1x1_asphaltjungleNJ'}
is nn for: {'use_cn': '.true.', 'hgrid': '5x5_amazon'}
Mapping method from Nitrogen deposition input file to the model resolution
    bilinear = bilinear interpolation
    nn       = nearest neighbor
    redist   = Redistributes data from source mesh to destination mesh
    consd    = First-order conservative interpolation
    consf    = Same as consd with fraction area normalization
    none     = no interpolation
paramfile clm_inparm datasets char*512 ['any char'] is lnd/clm2/paramdata/ctsm60_params.c260518.nc for: {'phys': 'clm6_0'}
is lnd/clm2/paramdata/ctsm60-cam70_params.c260518.nc for: {'phys': 'clm6_0', 'lnd_tuning_mode': 'clm6_0_cam7.0'}
is lnd/clm2/paramdata/ctsm60-HH_params.c260518.nc for: {'phys': 'clm6_0', 'use_hillslope': '.true.'}
is lnd/clm2/paramdata/clm50_params.c260305.nc for: {'phys': 'clm5_0'}
is lnd/clm2/paramdata/clm45_params.c260305.nc for: {'phys': 'clm4_5'}
Full pathname datafile with plant function type (PFT) constants combined with
constants for biogeochem modules
popdens_tintalgo popd_streams datasets char*80 ['linear', 'nearest', 'lower', 'upper']
Time interpolation method to use with human population density streams
popdensmapalgo popd_streams datasets char*256 ['bilinear', 'nn', 'redist', 'consd', 'consf', 'none'] is bilinear for: {'use_cn': '.true.'}
is nn for: {'use_cn': '.true.', 'hgrid': '1x1_brazil'}
is nn for: {'use_cn': '.true.', 'hgrid': '1x1_mexicocityMEX'}
is nn for: {'use_cn': '.true.', 'hgrid': '1x1_vancouverCAN'}
is nn for: {'use_cn': '.true.', 'hgrid': '1x1_urbanc_alpha'}
is nn for: {'use_cn': '.true.', 'hgrid': '1x1_asphaltjungleNJ'}
is nn for: {'use_cn': '.true.', 'hgrid': '5x5_amazon'}
is bilinear for: {'use_fates': '.true.'}
is nn for: {'use_fates': '.true.', 'hgrid': '1x1_brazil'}
is nn for: {'use_fates': '.true.', 'hgrid': '1x1_mexicocityMEX'}
is nn for: {'use_fates': '.true.', 'hgrid': '1x1_vancouverCAN'}
is nn for: {'use_fates': '.true.', 'hgrid': '1x1_urbanc_alpha'}
is nn for: {'use_fates': '.true.', 'hgrid': '1x1_asphaltjungleNJ'}
is nn for: {'use_fates': '.true.', 'hgrid': '5x5_amazon'}
Mapping method from human population density input file to the model resolution
    bilinear = bilinear interpolation
    nn       = nearest neighbor
    redist   = Redistributes data from source mesh to destination mesh
    consd    = First-order conservative interpolation
    consf    = Same as consd with fraction area normalization
    none     = no interpolation
soilm_ignore_data_if_missing soil_moisture_streams datasets logical ['.true.', '.false.']
If false will abort if using soil moisture streams and find a point where the model shows H2OSOI_VOL
should be set because it's vegetated, but the input soilm streams dataset shows that point is missing.
If true, will ignore the prescribed soilm data for that point and let the model run for that point without
prescribed data.
soilm_offset soil_moisture_streams datasets integer ['any integer'] 0
Offset in time coordinate for soil moisture streams (sec)
soilm_tintalgo soil_moisture_streams datasets char*256 ['linear', 'nearest', 'lower', 'upper'] linear
Time interpolation method to use for prescribed soil moisture streams data
stream_fldfilename_atm_c13 carbon_isotope_streams datasets char*512 ['any char'] is lnd/clm2/isotopes/ctsmforc.Graven.atm_delta_C13_CMIP7_global_1700-2023_yearly_v3.0_c251013.nc for: {'use_c13': '.true.', 'use_c13_timeseries': '.true.', 'ssp_rcp': 'hist', 'cmip_era': 'cmip7'}
Filename of input stream data for atmospheric C13 isotope delta data
stream_fldfilename_atm_c14 carbon_isotope_streams datasets char*512 ['any char'] is lnd/clm2/isotopes/ctsmforc.Graven.atm_delta_C14_CMIP7_360x720_1700-2023_yearly_v3.0_tweaked_latlons_c260108.no_nan_fill.nc for: {'use_c14': '.true.', 'use_c14_bombspike': '.true.', 'ssp_rcp': 'hist', 'cmip_era': 'cmip7'}
Filename of input stream data for atmospheric C14 isotope delta data
stream_fldfilename_ch4finundated ch4finundated datasets char*512 ['any char'] is lnd/clm2/paramdata/finundated_inversiondata_0.9x1.25_c170706.nc for: {'finundation_method': 'TWS_inversion', 'hgrid': '0.9x1.25'}
is lnd/clm2/paramdata/finundated_inversiondata_0.9x1.25_c170706.nc for: {'finundation_method': 'ZWT_inversion', 'hgrid': '0.9x1.25'}
Filename of input stream data for finundated inversion of observed (from Prigent dataset)
to hydrologic variables (either TWS or ZWT)
stream_fldfilename_cultivar_gdds cropcal_streams datasets char*512(30) ['any char'] is lnd/clm2/cropdata/calendars/processed/cultivar_gdds.c251211.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx': '.true.'}
is lnd/clm2/cropdata/calendars/processed/gdds_20230829_161011.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx': '.true.', 'lnd_tuning_mode': 'clm4_5_GSWP3v1'}
is lnd/clm2/cropdata/calendars/processed/gdds_20230829_161011.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx': '.true.', 'lnd_tuning_mode': 'clm5_0_GSWP3v1'}
is lnd/clm2/cropdata/calendars/processed/gdds_20230829_161011.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx': '.true.', 'lnd_tuning_mode': 'clm6_0_GSWP3v1'}
is lnd/clm2/cropdata/calendars/processed/cultivar_gdds.c251211.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx_adapt': '.true.'}
is lnd/clm2/cropdata/calendars/processed/gdds_20230829_161011.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx_adapt': '.true.', 'lnd_tuning_mode': 'clm4_5_GSWP3v1'}
is lnd/clm2/cropdata/calendars/processed/gdds_20230829_161011.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx_adapt': '.true.', 'lnd_tuning_mode': 'clm5_0_GSWP3v1'}
is lnd/clm2/cropdata/calendars/processed/gdds_20230829_161011.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx_adapt': '.true.', 'lnd_tuning_mode': 'clm6_0_GSWP3v1'}
Filename of input stream data for cultivar growing degree-day targets
stream_fldfilename_exice exice_streams datasets char*512(30) ['any char'] is lnd/clm2/paramdata/exice_init_0.125x0.125_c20220516.nc for: {'use_excess_ice': '.true.'}
Filename of input stream data for excess ice data
stream_fldFileName_gdd20_baseline cropcal_streams datasets char*512(30) ['any char'] is lnd/clm2/cropdata/calendars/processed/gdd20_baseline.c251120.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx_adapt': '.true.', 'stream_gdd20_seasons': '.false.'}
is lnd/clm2/cropdata/calendars/processed/20230714_cropcals_pr2_1deg.actually2deg.1980-2009.from_GDDB20.interpd_halfdeg.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx_adapt': '.true.', 'stream_gdd20_seasons': '.false.', 'lnd_tuning_mode': 'clm4_5_GSWP3v1'}
is lnd/clm2/cropdata/calendars/processed/20230714_cropcals_pr2_1deg.actually2deg.1980-2009.from_GDDB20.interpd_halfdeg.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx_adapt': '.true.', 'stream_gdd20_seasons': '.false.', 'lnd_tuning_mode': 'clm5_0_GSWP3v1'}
is lnd/clm2/cropdata/calendars/processed/20230714_cropcals_pr2_1deg.actually2deg.1980-2009.from_GDDB20.interpd_halfdeg.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx_adapt': '.true.', 'stream_gdd20_seasons': '.false.', 'lnd_tuning_mode': 'clm6_0_GSWP3v1'}
is lnd/clm2/cropdata/calendars/processed/gdd20bl.copied_from.gdds_20230829_161011.v2.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx_adapt': '.true.', 'stream_gdd20_seasons': '.true.'}
Filename of input stream data for baseline GDD20 values
stream_fldFileName_gdd20_season_end cropcal_streams datasets char*512(30) ['any char'] is lnd/clm2/cropdata/calendars/processed/hdates_ggcmi_crop_calendar_phase3_v1.01_nninterp-hcru_hcru_mt13.2000-2000.20230728_165845.tweaked_latlons.no_nan_fill.nc for: {'stream_gdd20_seasons': '.true.'}
Filename of input stream data for date (day of year) of end of gdd20 accumulation season.
stream_fldFileName_gdd20_season_start cropcal_streams datasets char*512(30) ['any char'] is lnd/clm2/cropdata/calendars/processed/sdates_ggcmi_crop_calendar_phase3_v1.01_nninterp-hcru_hcru_mt13.2000-2000.20230728_165845.tweaked_latlons.no_nan_fill.nc for: {'stream_gdd20_seasons': '.true.'}
Filename of input stream data for date (day of year) of start of gdd20 accumulation season.
stream_fldfilename_lai lai_streams datasets char*512(30) ['any char'] is lnd/clm2/lai_streams/MODISPFTLAI_0.5x0.5_c140711.nc for: {'hgrid': '360x720cru'}
Filename of input stream data for LAI
stream_fldfilename_lightng light_streams datasets char*512 ['any char'] is atm/datm7/NASA_LIS/clmforc.Li_2012_climo1995-2011.T62.lnfm_Total_c140423.nc for: {'hgrid': '94x192'}
is atm/datm7/NASA_LIS/clmforc.Li_2016_climo1995-2013.360x720.lnfm_Total_NEONarea_c210625.nc for: {'hgrid': '106x174'}
is atm/datm7/NASA_LIS/clmforc.Li_2016_climo1995-2013.360x720.lnfm_Total_c160825.nc for: {'hgrid': '360x720'}
Filename of input stream data for Lightning
stream_fldfilename_ndep ndepdyn_nml datasets char*512 ['any char'] is lnd/clm2/ndepdata/fndep_clm_hist_b.e21.BWHIST.f09_g17.CMIP6-historical-WACCM.ensmean_1849-2015_monthly_0.9x1.25_c180926.nc for: {'hgrid': '0.9x1.25', 'use_cn': '.true.', 'ssp_rcp': 'hist', 'sim_year_range': '1850-2000'}
is lnd/clm2/ndepdata/fndep_clm_WACCM6_CMIP6piControl001_y21-50avg_1850monthly_0.95x1.25_c180802.nc for: {'hgrid': '0.9x1.25', 'use_cn': '.true.', 'ssp_rcp': 'hist', 'sim_year': '1850', 'sim_year_range': 'constant'}
is lnd/clm2/ndepdata/fndep_clm_hist_b.e21.BWHIST.f09_g17.CMIP6-historical-WACCM.ensmean_1849-2015_monthly_0.9x1.25_c180926.nc for: {'hgrid': '0.9x1.25', 'use_cn': '.true.', 'ssp_rcp': 'hist', 'sim_year_range': 'constant'}
is lnd/clm2/ndepdata/fndep_clm_f09_g17.CMIP6-SSP5-8.5-WACCM_1849-2101_monthly_c191007.nc for: {'hgrid': '0.9x1.25', 'use_cn': '.true.', 'ssp_rcp': 'SSP5-8.5'}
is lnd/clm2/ndepdata/fndep_clm_f09_g17.CMIP6-SSP1-2.6-WACCM_1849-2101_monthly_c191007.nc for: {'hgrid': '0.9x1.25', 'use_cn': '.true.', 'ssp_rcp': 'SSP1-2.6'}
is lnd/clm2/ndepdata/fndep_clm_f09_g17.CMIP6-SSP2-4.5-WACCM_1849-2101_monthly_c191007.nc for: {'hgrid': '0.9x1.25', 'use_cn': '.true.', 'ssp_rcp': 'SSP2-4.5'}
is lnd/clm2/ndepdata/fndep_clm_SSP370_b.e21.BWSSP370cmip6.f09_g17.CMIP6-SSP3-7.0-WACCM.002_1849-2101_monthly_0.9x1.25_c211216.nc for: {'hgrid': '0.9x1.25', 'use_cn': '.true.', 'ssp_rcp': 'SSP3-7.0'}
Filename of input stream data for Nitrogen Deposition
stream_fldfilename_popdens popd_streams datasets char*512 ['any char'] is lnd/clm2/firedata/clmforc.Li_2025_CMIP7_hdm_0.5x0.5_simyr1850-2025_c251013.nc for: {'hgrid': '0.5x0.5', 'use_cn': '.true.'}
is lnd/clm2/firedata/clmforc.Li_2018_SSP1_CMIP6_hdm_0.5x0.5_AVHRR_simyr1850-2100_c181205.nc for: {'hgrid': '0.5x0.5', 'use_cn': '.true.', 'ssp_rcp': 'SSP1-1.9'}
is lnd/clm2/firedata/clmforc.Li_2018_SSP1_CMIP6_hdm_0.5x0.5_AVHRR_simyr1850-2100_c181205.nc for: {'hgrid': '0.5x0.5', 'use_cn': '.true.', 'ssp_rcp': 'SSP1-2.6'}
is lnd/clm2/firedata/clmforc.Li_2018_SSP2_CMIP6_hdm_0.5x0.5_AVHRR_simyr1850-2100_c181205.nc for: {'hgrid': '0.5x0.5', 'use_cn': '.true.', 'ssp_rcp': 'SSP2-4.5'}
is lnd/clm2/firedata/clmforc.Li_2025_CMIP7_SSP3CMIP6_hdm_0.5x0.5_simyr1850-2100_c250717.nc for: {'hgrid': '0.5x0.5', 'use_cn': '.true.', 'ssp_rcp': 'SSP3-7.0', 'phys': 'clm6_0'}
is lnd/clm2/firedata/clmforc.Li_2018_SSP3_CMIP6_hdm_0.5x0.5_AVHRR_simyr1850-2100_c181205.nc for: {'hgrid': '0.5x0.5', 'use_cn': '.true.', 'ssp_rcp': 'SSP3-7.0'}
is lnd/clm2/firedata/clmforc.Li_2018_SSP4_CMIP6_hdm_0.5x0.5_AVHRR_simyr1850-2100_c181205.nc for: {'hgrid': '0.5x0.5', 'use_cn': '.true.', 'ssp_rcp': 'SSP4-6.0'}
is lnd/clm2/firedata/clmforc.Li_2018_SSP4_CMIP6_hdm_0.5x0.5_AVHRR_simyr1850-2100_c181205.nc for: {'hgrid': '0.5x0.5', 'use_cn': '.true.', 'ssp_rcp': 'SSP4-3.4'}
is lnd/clm2/firedata/clmforc.Li_2018_SSP5_CMIP6_hdm_0.5x0.5_AVHRR_simyr1850-2100_c181205.nc for: {'hgrid': '0.5x0.5', 'use_cn': '.true.', 'ssp_rcp': 'SSP5-8.5'}
is lnd/clm2/firedata/clmforc.Li_2018_SSP5_CMIP6_hdm_0.5x0.5_AVHRR_simyr1850-2100_c181205.nc for: {'hgrid': '0.5x0.5', 'use_cn': '.true.', 'ssp_rcp': 'SSP5-3.4'}
is lnd/clm2/firedata/clmforc.Li_2025_CMIP7_hdm_0.5x0.5_simyr1850-2025_c251013.nc for: {'hgrid': '0.5x0.5', 'use_fates': '.true.'}
is lnd/clm2/firedata/clmforc.Li_2018_SSP1_CMIP6_hdm_0.5x0.5_AVHRR_simyr1850-2100_c181205.nc for: {'hgrid': '0.5x0.5', 'use_fates': '.true.', 'ssp_rcp': 'SSP1-1.9'}
is lnd/clm2/firedata/clmforc.Li_2018_SSP1_CMIP6_hdm_0.5x0.5_AVHRR_simyr1850-2100_c181205.nc for: {'hgrid': '0.5x0.5', 'use_fates': '.true.', 'ssp_rcp': 'SSP1-2.6'}
is lnd/clm2/firedata/clmforc.Li_2018_SSP2_CMIP6_hdm_0.5x0.5_AVHRR_simyr1850-2100_c181205.nc for: {'hgrid': '0.5x0.5', 'use_fates': '.true.', 'ssp_rcp': 'SSP2-4.5'}
is lnd/clm2/firedata/clmforc.Li_2025_CMIP7_SSP3CMIP6_hdm_0.5x0.5_simyr1850-2100_c250717.nc for: {'hgrid': '0.5x0.5', 'use_fates': '.true.', 'ssp_rcp': 'SSP3-7.0', 'phys': 'clm6_0'}
is lnd/clm2/firedata/clmforc.Li_2018_SSP3_CMIP6_hdm_0.5x0.5_AVHRR_simyr1850-2100_c181205.nc for: {'hgrid': '0.5x0.5', 'use_fates': '.true.', 'ssp_rcp': 'SSP3-7.0'}
is lnd/clm2/firedata/clmforc.Li_2018_SSP4_CMIP6_hdm_0.5x0.5_AVHRR_simyr1850-2100_c181205.nc for: {'hgrid': '0.5x0.5', 'use_fates': '.true.', 'ssp_rcp': 'SSP4-6.0'}
is lnd/clm2/firedata/clmforc.Li_2018_SSP4_CMIP6_hdm_0.5x0.5_AVHRR_simyr1850-2100_c181205.nc for: {'hgrid': '0.5x0.5', 'use_fates': '.true.', 'ssp_rcp': 'SSP4-3.4'}
is lnd/clm2/firedata/clmforc.Li_2018_SSP5_CMIP6_hdm_0.5x0.5_AVHRR_simyr1850-2100_c181205.nc for: {'hgrid': '0.5x0.5', 'use_fates': '.true.', 'ssp_rcp': 'SSP5-8.5'}
is lnd/clm2/firedata/clmforc.Li_2018_SSP5_CMIP6_hdm_0.5x0.5_AVHRR_simyr1850-2100_c181205.nc for: {'hgrid': '0.5x0.5', 'use_fates': '.true.', 'ssp_rcp': 'SSP5-3.4'}
Filename of input stream data for human population density
stream_fldfilename_prigentroughness prigentroughness datasets char*512 ['any char'] lnd/clm2/dustemisdata/Prigent_2005_roughness_0.25x0.25_cdf5_c260218.nc
Filename of input stream data for aeolian roughness length (from Prigent's roughness dataset)
stream_fldfilename_soilm soil_moisture_streams datasets char*512(30) ['any char'] is lnd/clm2/prescribed_data/LFMIP-pdLC-SST.H2OSOI.0.9x1.25.20levsoi.natveg.climo1980-2014.MONS_c190709.nc for: {'hgrid': '0.9x1.25'}
Filename of input stream data for prescribed soil moisture streams data
stream_fldFileName_swindow_end cropcal_streams datasets char*512(30) ['any char'] is lnd/clm2/cropdata/calendars/processed/swindow_ends_ggcmi_crop_calendar_phase3_v1.01.2000-2000.20231005_145103.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx': '.true.'}
is lnd/clm2/cropdata/calendars/processed/swindow_ends_ggcmi_crop_calendar_phase3_v1.01.2000-2000.20231005_145103.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx_adapt': '.true.'}
Filename of input stream data for date (day of year) of end of sowing window. Cells with the same sowing window start and end date are always planted on that date, regardless of climatic conditions/history.
stream_fldFileName_swindow_start cropcal_streams datasets char*512(30) ['any char'] is lnd/clm2/cropdata/calendars/processed/swindow_starts_ggcmi_crop_calendar_phase3_v1.01.2000-2000.20231005_145103.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx': '.true.'}
is lnd/clm2/cropdata/calendars/processed/swindow_starts_ggcmi_crop_calendar_phase3_v1.01.2000-2000.20231005_145103.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx_adapt': '.true.'}
Filename of input stream data for date (day of year) of start of sowing window. Cells with the same sowing window start and end date are always planted on that date, regardless of climatic conditions/history.
stream_fldfilename_urbantv urbantv_streams datasets char*512 ['any char'] is lnd/clm2/urbandata/CTSM52_tbuildmax_OlesonFeddema_2020_0.9x1.25_simyr1849-2106_c200605.nc for: {'phys': 'clm6_0', 'hgrid': '0.9x1.25', 'urban_explicit_ac': '.false.'}
is lnd/clm2/urbandata/CTSM52_urbantv_Li_2024_0.9x1.25_simyr1849-2106_c20260217.nc for: {'phys': 'clm6_0', 'hgrid': '0.9x1.25', 'urban_explicit_ac': '.true.'}
is lnd/clm2/urbandata/CLM50_tbuildmax_Oleson_2016_0.9x1.25_simyr1849-2106_c160923.nc for: {'phys': 'clm5_0', 'hgrid': '0.9x1.25', 'urban_explicit_ac': '.false.'}
is lnd/clm2/urbandata/CTSM52_urbantv_Li_2024_0.9x1.25_simyr1849-2106_c20260217.nc for: {'phys': 'clm5_0', 'hgrid': '0.9x1.25', 'urban_explicit_ac': '.true.'}
is lnd/clm2/urbandata/CLM45_tbuildmax_Oleson_2016_0.9x1.25_simyr1849-2106_c160923.nc for: {'phys': 'clm4_5', 'hgrid': '0.9x1.25'}
Filename of input stream data for urban time varying
stream_fldfilename_zendersoilerod zendersoilerod datasets char*512 ['any char'] is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm4_5_cam7.0'}
is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm5_0_cam7.0'}
is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm6_0_cam7.0'}
is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm4_5_cam6.0'}
is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm5_0_cam6.0'}
is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm6_0_cam6.0'}
is lnd/clm2/dustemisdata/dst_source2x2_cam5.4-forCLM_cdf5_c240202.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm4_5_cam5.0'}
is lnd/clm2/dustemisdata/dst_source2x2_cam5.4-forCLM_cdf5_c240202.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm5_0_cam5.0'}
is lnd/clm2/dustemisdata/dst_source2x2_cam5.4-forCLM_cdf5_c240202.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm6_0_cam5.0'}
is lnd/clm2/dustemisdata/dst_source2x2tuned-cam4-forCLM_cdf5_c240202.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm4_5_cam4.0'}
is lnd/clm2/dustemisdata/dst_source2x2tuned-cam4-forCLM_cdf5_c240202.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm5_0_cam4.0'}
is lnd/clm2/dustemisdata/dst_source2x2tuned-cam4-forCLM_cdf5_c240202.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm6_0_cam4.0'}
is lnd/clm2/dustemisdata/dst_source1x1tuned-cam4-forCLM_cdf5_c240202.no_nan_fill.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm4_5_cam4.0', 'hgrid': '0.9x1.25'}
is lnd/clm2/dustemisdata/dst_source1x1tuned-cam4-forCLM_cdf5_c240202.no_nan_fill.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm5_0_cam4.0', 'hgrid': '0.9x1.25'}
is lnd/clm2/dustemisdata/dst_source1x1tuned-cam4-forCLM_cdf5_c240202.no_nan_fill.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm6_0_cam4.0', 'hgrid': '0.9x1.25'}
is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm4_5_cam7.0'}
is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm5_0_cam7.0'}
is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm6_0_cam7.0'}
is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm4_5_cam6.0'}
is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm5_0_cam6.0'}
is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm6_0_cam6.0'}
is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm4_5_CRUv7'}
is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm5_0_CRUv7'}
is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm6_0_CRUv7'}
is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm4_5_GSWP3v1'}
is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm5_0_GSWP3v1'}
is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm6_0_GSWP3v1'}
is lnd/clm2/dustemisdata/dst_source2x2tunedcam6-2x2-forCLM_cdf5_c230312.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd', 'lnd_tuning_mode': 'clm6_0_CRUJRA2024'}
Filename of input stream data for Zender's soil erodibility source function
(only used when dust_emis_method is Zender_2003, and zender_soil_erod_source is lnd)
stream_gdd20_seasons cropcal_streams datasets logical ['.true.', '.false.'] .false.
Set this to true to read gdd20 accumulation season start and end dates from stream files, rather than using hard-coded hemisphere-specific "warm seasons."
stream_mapalgo_exice exice_streams datasets char*256 ['bilinear', 'nn', 'redist', 'consd', 'consf', 'none'] is bilinear for: {'use_excess_ice': '.true.'}
Mapping method from excess ice input stream data to the model resolution
    bilinear = bilinear interpolation
    nn       = nearest neighbor
    redist   = Redistributes data from source mesh to destination mesh
    consd    = First-order conservative interpolation
    consf    = Same as consd with fraction area normalization
    none     = no interpolation
stream_meshfile_atm_c14 carbon_isotope_streams datasets char*512 ['any char'] is share/meshes/360x720_120830_ESMFmesh_tweaked_latlons_c20260108.nc for: {'use_c14': '.true.', 'use_c14_bombspike': '.true.'}
Filename of input stream mesh for atmospheric C14 isotope delta data
stream_meshfile_ch4finundated ch4finundated datasets char*512 ['any char'] is lnd/clm2/paramdata/finundated_inversiondata_0.9x1_ESMFmesh_cdf5_130621.nc for: {'finundation_method': 'TWS_inversion'}
is lnd/clm2/paramdata/finundated_inversiondata_0.9x1_ESMFmesh_cdf5_130621.nc for: {'finundation_method': 'ZWT_inversion'}
mesh filename of input stream data for finundated inversion of observed (from Prigent dataset)
to hydrologic variables (either TWS or ZWT)
stream_meshfile_cropcal cropcal_streams datasets char*512 ['any char'] is lnd/clm2/cropdata/calendars/processed/360x720_120830_ESMFmesh_c20210507_cdf5.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx': '.true.'}
is lnd/clm2/cropdata/calendars/processed/360x720_120830_ESMFmesh_c20210507_cdf5.tweaked_latlons.no_nan_fill.nc for: {'cropcals_rx_adapt': '.true.'}
Filename of input stream data for crop calendar inputs
stream_meshfile_exice exice_streams datasets char*512 ['any char'] is lnd/clm2/paramdata/exice_init_0.125x0.125_ESMFmesh_cdf5_c20220802.nc for: {'use_excess_ice': '.true.'}
mesh filename of input stream data for excess ice
stream_meshfile_lai lai_streams datasets char*512 ['any char'] is lnd/clm2/lai_streams/MODISPFTLAI_0.5x0_ESMFmesh_cdf5_090621.nc for: {'hgrid': '360x720cru'}
Filename of input stream data for LAI
stream_meshfile_lightng light_streams datasets char*512 ['any char'] is atm/datm7/NASA_LIS/clmforc.Li_2012_climo1995-2011.T62_ESMFmesh_cdf5_110621.nc for: {'hgrid': '94x192'}
is atm/datm7/NASA_LIS/ESMF_MESH.Li_2016.360x720.NEONarea_cdf5_c221104.nc for: {'hgrid': '106x174'}
is atm/datm7/NASA_LIS/clmforc.Li_2016_climo1995-2013.360x720_ESMFmesh_cdf5_150621.nc for: {'hgrid': '360x720'}
Stream meshfile for Nitrogen Deposition data
stream_meshfile_ndep ndepdyn_nml datasets char*512 ['any char'] is share/meshes/fv1.9x2.5_141008_ESMFmesh_c20191001.nc for: {'hgrid': '1.9x2.5'}
is share/meshes/fv0.9x1.25_141008_polemod_ESMFmesh.nc for: {'hgrid': '0.9x1.25'}
Stream meshfile for Nitrogen Deposition data
stream_meshfile_popdens popd_streams datasets char*512 ['any char'] is lnd/clm2/firedata/clmforc.Li_2017_HYDEv3.2_CMIP6_hdm_0.5x0_ESMFmesh_cdf5_100621.nc for: {'hgrid': '0.5x0.5'}
mesh file for input stream data for human population density
stream_meshfile_prigentroughness prigentroughness datasets char*512 ['any char'] lnd/clm2/dustemisdata/dust_0.25x0.25_ESMFmesh_cdf5_c240222.nc
mesh filename of input stream data for aeolian roughness length (from Prigent's roughness dataset)
stream_meshfile_urbantv urbantv_streams datasets char*512 ['any char'] is lnd/clm2/urbandata/CLM50_tbuildmax_Oleson_2016_0.9x1_ESMFmesh_cdf5_100621.nc for: {'hgrid': '0.9x1.25'}
mesh filename of input stream data for urban time varying
stream_meshfile_zendersoilerod zendersoilerod datasets char*512 ['any char'] is lnd/clm2/dustemisdata/dust_2x2_ESMFmesh_cdf5_c230730.nc for: {'dust_emis_method': 'Zender_2003', 'zender_soil_erod_source': 'lnd'}
mesh filename of input stream data for Zender's soil erodibility source function
(only used when dust_emis_method is Zender_2003, and zender_soil_erod_source is lnd)
stream_model_year_align_atm_c13 carbon_isotope_streams datasets integer ['any integer'] is 1700 for: {'sim_year_range': '1850-2000'}
Simulation year that aligns with stream_year_first_atm_c13 value
stream_model_year_align_atm_c14 carbon_isotope_streams datasets integer ['any integer'] is 1700 for: {'sim_year_range': '1850-2000'}
Simulation year that aligns with stream_year_first_atm_c14 value
stream_taxmode_atm_c13 carbon_isotope_streams datasets char*80 ['cycle', 'extend', 'limit']
Time interpolation mode for atmospheric C13 delta data to determine how to handle data before and after the times in the file
    cycle   = Always cycle over the data
    extend  = Use the first time before the available data, and use the last time after the available data
    limit   = Only use the data within the times available -- abort if the model tries to go outside it
stream_taxmode_atm_c14 carbon_isotope_streams datasets char*80 ['cycle', 'extend', 'limit']
Time interpolation mode for atmospheric C14 delta data to determine how to handle data before and after the times in the file
    cycle   = Always cycle over the data
    extend  = Use the first time before the available data, and use the last time after the available data
    limit   = Only use the data within the times available -- abort if the model tries to go outside it
stream_tintalgo_atm_c13 carbon_isotope_streams datasets char*256 ['linear', 'nearest', 'lower', 'upper']
Time interpolation method to use for atmospheric C13 delta data
stream_tintalgo_atm_c14 carbon_isotope_streams datasets char*256 ['linear', 'nearest', 'lower', 'upper']
Time interpolation method to use for atmospheric C14 delta data
stream_year_first_atm_c13 carbon_isotope_streams datasets integer ['any integer'] is 2018 for: {'sim_year': '2018', 'sim_year_range': 'constant'}
is 2010 for: {'sim_year': '2010', 'sim_year_range': 'constant'}
is 2000 for: {'sim_year': '2000', 'sim_year_range': 'constant'}
is 1850 for: {'sim_year': '1979', 'sim_year_range': 'constant'}
is 1850 for: {'sim_year': '1850', 'sim_year_range': 'constant'}
is 1700 for: {'sim_year': 'PtVg', 'sim_year_range': 'constant'}
is 1700 for: {'sim_year_range': '1850-2000'}
First year to loop over for atmospheric C13 isotope delta data
stream_year_first_atm_c14 carbon_isotope_streams datasets integer ['any integer'] is 2018 for: {'sim_year': '2018', 'sim_year_range': 'constant'}
is 2010 for: {'sim_year': '2010', 'sim_year_range': 'constant'}
is 2000 for: {'sim_year': '2000', 'sim_year_range': 'constant'}
is 1850 for: {'sim_year': '1979', 'sim_year_range': 'constant'}
is 1850 for: {'sim_year': '1850', 'sim_year_range': 'constant'}
is 1700 for: {'sim_year': 'PtVg', 'sim_year_range': 'constant'}
is 1700 for: {'sim_year_range': '1850-2000'}
First year to loop over for atmospheric C14 isotope delta data
stream_year_first_cropcal_cultivar_gdds cropcal_streams datasets integer ['any integer'] 2000
First year to loop over for crop maturity requirements
stream_year_first_cropcal_swindows cropcal_streams datasets integer ['any integer'] 2000
First year to loop over for crop sowing windows
stream_year_first_lai lai_streams datasets integer ['any integer'] 2001
First year to loop over for LAI data
stream_year_first_lightng light_streams datasets integer ['any integer'] 0001
First year to loop over for Lightning data
stream_year_first_ndep ndepdyn_nml datasets integer ['any integer'] is 2015 for: {'use_cn': '.true.', 'sim_year_range': '1850-2100'}
is 1850 for: {'use_cn': '.true.', 'sim_year': '1850', 'sim_year_range': '1850-2000'}
is 2018 for: {'use_cn': '.true.', 'sim_year': '2018'}
is 2010 for: {'use_cn': '.true.', 'sim_year': '2010'}
is 2000 for: {'use_cn': '.true.', 'sim_year': '2000'}
is 1850 for: {'use_cn': '.true.', 'sim_year': '1850'}
is 2000 for: {'use_cn': '.true.', 'sim_year': '1000'}
is 1850 for: {'use_cn': '.true.', 'sim_year': 'PtVg'}
is 2000 for: {'use_cn': '.true.', 'sim_year': 'constant', 'sim_year_range': '1000-1002'}
is 2000 for: {'use_cn': '.true.', 'sim_year': 'constant', 'sim_year_range': '1000-1004'}
First year to loop over for Nitrogen Deposition data
stream_year_first_popdens popd_streams datasets integer ['any integer'] is 2015 for: {'cnfireson': '.true.', 'sim_year_range': '1850-2100'}
is 2018 for: {'use_cn': '.true.', 'sim_year': '2018'}
is 2010 for: {'use_cn': '.true.', 'sim_year': '2010'}
is 2000 for: {'use_cn': '.true.', 'sim_year': '2000'}
is 1850 for: {'use_cn': '.true.', 'sim_year': '1850'}
is 2000 for: {'use_cn': '.true.', 'sim_year': '1000'}
is 2000 for: {'use_cn': '.true.', 'sim_year': 'constant', 'sim_year_range': '1000-1002'}
is 2000 for: {'use_cn': '.true.', 'sim_year': 'constant', 'sim_year_range': '1000-1004'}
is 2018 for: {'use_fates': '.true.', 'sim_year': '2018'}
is 2010 for: {'use_fates': '.true.', 'sim_year': '2010'}
is 2000 for: {'use_fates': '.true.', 'sim_year': '2000'}
is 1850 for: {'use_fates': '.true.', 'sim_year': '1850'}
is 2000 for: {'use_fates': '.true.', 'sim_year': '1000'}
is 2000 for: {'use_fates': '.true.', 'sim_year': 'constant', 'sim_year_range': '1000-1002'}
is 2000 for: {'use_fates': '.true.', 'sim_year': 'constant', 'sim_year_range': '1000-1004'}
First year to loop over for human population density data
stream_year_first_soilm soil_moisture_streams datasets integer ['any integer'] 1997
First year to loop over for prescribed soil moisture streams data
stream_year_first_urbantv urbantv_streams datasets integer ['any integer'] is 2015 for: {'sim_year_range': '1850-2100'}
is 2018 for: {'sim_year': '2018'}
is 2010 for: {'sim_year': '2010'}
is 2000 for: {'sim_year': '2000'}
is 1850 for: {'sim_year': '1850'}
is 2000 for: {'sim_year': '1000'}
is 2000 for: {'sim_year': 'constant', 'sim_year_range': '1000-1002'}
is 2000 for: {'sim_year': 'constant', 'sim_year_range': '1000-1004'}
is 1850 for: {'sim_year': 'constant', 'sim_year_range': '1850-2000'}
First year to loop over for urban time varying data
stream_year_last_atm_c13 carbon_isotope_streams datasets integer ['any integer'] is 2018 for: {'sim_year': '2018', 'sim_year_range': 'constant'}
is 2010 for: {'sim_year': '2010', 'sim_year_range': 'constant'}
is 2000 for: {'sim_year': '2000', 'sim_year_range': 'constant'}
is 1850 for: {'sim_year': '1979', 'sim_year_range': 'constant'}
is 1850 for: {'sim_year': '1850', 'sim_year_range': 'constant'}
is 1700 for: {'sim_year': 'PtVg', 'sim_year_range': 'constant'}
is 2023 for: {'sim_year_range': '1850-2000'}
Last year to loop over for data atmospheric C13 isotope delta data
stream_year_last_atm_c14 carbon_isotope_streams datasets integer ['any integer'] is 2018 for: {'sim_year': '2018', 'sim_year_range': 'constant'}
is 2010 for: {'sim_year': '2010', 'sim_year_range': 'constant'}
is 2000 for: {'sim_year': '2000', 'sim_year_range': 'constant'}
is 1850 for: {'sim_year': '1979', 'sim_year_range': 'constant'}
is 1850 for: {'sim_year': '1850', 'sim_year_range': 'constant'}
is 1700 for: {'sim_year': 'PtVg', 'sim_year_range': 'constant'}
is 2023 for: {'sim_year_range': '1850-2000'}
Last year to loop over for atmospheric C14 isotope delta data
stream_year_last_cropcal_cultivar_gdds cropcal_streams datasets integer ['any integer'] 2000
Last year to loop over for crop maturity requirements
stream_year_last_cropcal_swindows cropcal_streams datasets integer ['any integer'] 2000
Last year to loop over for crop sowing windows
stream_year_last_lai lai_streams datasets integer ['any integer'] 2013
Last year to loop over for LAI data
stream_year_last_lightng light_streams datasets integer ['any integer'] 0001
Last year to loop over for Lightning data
stream_year_last_ndep ndepdyn_nml datasets integer ['any integer'] is 2101 for: {'use_cn': '.true.', 'sim_year_range': '1850-2100'}
is 2015 for: {'use_cn': '.true.', 'sim_year': '1850', 'sim_year_range': '1850-2000'}
is 2018 for: {'use_cn': '.true.', 'sim_year': '2018'}
is 2022 for: {'use_cn': '.true.', 'sim_year': '2018', 'sim_year_range': '1850-2100'}
is 2010 for: {'use_cn': '.true.', 'sim_year': '2010'}
is 2000 for: {'use_cn': '.true.', 'sim_year': '2000'}
is 1850 for: {'use_cn': '.true.', 'sim_year': '1850'}
is 2000 for: {'use_cn': '.true.', 'sim_year': '1000'}
is 1850 for: {'use_cn': '.true.', 'sim_year': 'PtVg'}
is 2000 for: {'use_cn': '.true.', 'sim_year': 'constant', 'sim_year_range': '1000-1002'}
is 2000 for: {'use_cn': '.true.', 'sim_year': 'constant', 'sim_year_range': '1000-1004'}
Last year to loop over for Nitrogen Deposition data
stream_year_last_popdens popd_streams datasets integer ['any integer'] is 2100 for: {'cnfireson': '.true.', 'sim_year_range': '1850-2100'}
is 2018 for: {'use_cn': '.true.', 'sim_year': '2018'}
is 2010 for: {'use_cn': '.true.', 'sim_year': '2010'}
is 2000 for: {'use_cn': '.true.', 'sim_year': '2000'}
is 1850 for: {'use_cn': '.true.', 'sim_year': '1850'}
is 2000 for: {'use_cn': '.true.', 'sim_year': '1000'}
is 2000 for: {'use_cn': '.true.', 'sim_year': 'constant', 'sim_year_range': '1000-1002'}
is 2000 for: {'use_cn': '.true.', 'sim_year': 'constant', 'sim_year_range': '1000-1004'}
is 2018 for: {'use_fates': '.true.', 'sim_year': '2018'}
is 2010 for: {'use_fates': '.true.', 'sim_year': '2010'}
is 2000 for: {'use_fates': '.true.', 'sim_year': '2000'}
is 1850 for: {'use_fates': '.true.', 'sim_year': '1850'}
is 2000 for: {'use_fates': '.true.', 'sim_year': '1000'}
is 2000 for: {'use_fates': '.true.', 'sim_year': 'constant', 'sim_year_range': '1000-1002'}
is 2000 for: {'use_fates': '.true.', 'sim_year': 'constant', 'sim_year_range': '1000-1004'}
Last year to loop over for human population density data
stream_year_last_soilm soil_moisture_streams datasets integer ['any integer'] 1997
Last year to loop over for prescribed soil moisture streams data
stream_year_last_urbantv urbantv_streams datasets integer ['any integer'] is 2106 for: {'sim_year_range': '1850-2100'}
is 2018 for: {'sim_year': '2018'}
is 2010 for: {'sim_year': '2010'}
is 2000 for: {'sim_year': '2000'}
is 1850 for: {'sim_year': '1850'}
is 2000 for: {'sim_year': '1000'}
is 2000 for: {'sim_year': 'constant', 'sim_year_range': '1000-1002'}
is 2000 for: {'sim_year': 'constant', 'sim_year_range': '1000-1004'}
is 2106 for: {'sim_year': 'constant', 'sim_year_range': '1850-2000'}
Last year to loop over for urban time varying data
urbantv_tintalgo urbantv_streams datasets char*80 ['linear', 'nearest', 'lower', 'upper']
Time interpolation method to use with urban time varying streams
urbantvmapalgo urbantv_streams datasets char*256 ['bilinear', 'nn', 'redist', 'consd', 'consf', 'none'] nn
is nn for: {'hgrid': '1x1_brazil'}
is nn for: {'hgrid': '1x1_mexicocityMEX'}
is nn for: {'hgrid': '1x1_vancouverCAN'}
is nn for: {'hgrid': '1x1_urbanc_alpha'}
is nn for: {'hgrid': '1x1_asphaltjungleNJ'}
is nn for: {'hgrid': '5x5_amazon'}
Mapping method from urban time varying input file to the model resolution
    bilinear = bilinear interpolation
    nn       = nearest neighbor
    redist   = Redistributes data from source mesh to destination mesh
    consd    = First-order conservative interpolation
    consf    = Same as consd with fraction area normalization
    none     = no interpolation
use_init_interp clm_inparm datasets logical ['.true.', '.false.'] is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1850'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1979', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': '0.9x1.25'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1979', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': '1.9x2.5'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1979', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': 'ne0np4.ARCTIC.ne30x4'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1979', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': 'ne0np4.ARCTICGRIS.ne30x8'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2003', 'lnd_tuning_mode': 'clm4_5_cam6.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': '1.9x2.5'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2003', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': '1.9x2.5'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2003', 'lnd_tuning_mode': 'clm4_5_cam7.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': '1.9x2.5'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2003', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': '1.9x2.5'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2013', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': 'ne0np4CONUS.ne30x8'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2015', 'phys': 'clm4_5'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2015', 'phys': 'clm5_0'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2015', 'phys': 'clm4_5', 'hgrid': 'ne0np4CONUS.ne30x8'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2015', 'phys': 'clm4_5', 'hgrid': 'ne0np4.ARCTIC.ne30x4'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2015', 'phys': 'clm4_5', 'hgrid': 'ne0np4.ARCTICGRIS.ne30x4'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2015', 'phys': 'clm4_5', 'hgrid': 'ne0np4.NATL.ne30x8'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2015', 'phys': 'clm4_5', 'hgrid': 'ne120np4.pg3'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2015', 'phys': 'clm4_5', 'hgrid': 'mpasa30'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2015', 'phys': 'clm4_5', 'hgrid': 'mpasa15'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2015', 'phys': 'clm4_5', 'hgrid': 'mpasa3p75'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2015', 'phys': 'clm5_0', 'hgrid': 'ne0np4CONUS.ne30x8'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2015', 'phys': 'clm5_0', 'hgrid': 'ne0np4.ARCTIC.ne30x4'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2015', 'phys': 'clm5_0', 'hgrid': 'ne0np4.ARCTICGRIS.ne30x4'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2015', 'phys': 'clm5_0', 'hgrid': 'ne0np4.NATL.ne30x8'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2015', 'phys': 'clm5_0', 'hgrid': 'ne120np4.pg3'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2015', 'phys': 'clm5_0', 'hgrid': 'mpasa30'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2015', 'phys': 'clm5_0', 'hgrid': 'mpasa15'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2015', 'phys': 'clm5_0', 'hgrid': 'mpasa3p75'}
is .true. for: {'use_cndv': '.false.', 'sim_year': '1850', 'use_fates': '.false.', 'phys': 'clm6_0', 'hgrid': 'ne30np4.pg3'}
is .true. for: {'use_cndv': '.false.', 'sim_year': '2000', 'use_fates': '.false.', 'phys': 'clm6_0', 'hgrid': 'ne30np4.pg3'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1979', 'phys': 'clm6_0', 'hgrid': '0.9x1.25'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1979', 'phys': 'clm6_0', 'hgrid': '1.9x2.5'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1979', 'lnd_tuning_mode': 'clm6_0_cam7.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': 'ne0np4.ARCTIC.ne30x4'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1979', 'lnd_tuning_mode': 'clm6_0_cam7.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': 'ne0np4.ARCTICGRIS.ne30x8'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1979', 'lnd_tuning_mode': 'clm6_0_cam7.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': 'ne120np4.pg3'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2013', 'lnd_tuning_mode': 'clm6_0_cam7.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': 'ne0np4CONUS.ne30x8'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1979', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': '0.9x1.25'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1979', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': '1.9x2.5'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1979', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': 'ne0np4.ARCTIC.ne30x4'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1979', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': 'ne0np4.ARCTICGRIS.ne30x8'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2013', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': 'ne0np4CONUS.ne30x8'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1979', 'lnd_tuning_mode': 'clm6_0_cam6.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': 'ne0np4.ARCTIC.ne30x4'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1979', 'lnd_tuning_mode': 'clm6_0_cam6.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': 'ne0np4.ARCTICGRIS.ne30x8'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2013', 'lnd_tuning_mode': 'clm6_0_cam6.0', 'maxpft': '17', 'use_cn': '.false.', 'use_crop': '.false.', 'hgrid': 'ne0np4CONUS.ne30x8'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2000', 'phys': 'clm5_0'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2000', 'phys': 'clm6_0'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2000', 'lnd_tuning_mode': 'clm4_5_GSWP3v1'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '2000', 'lnd_tuning_mode': 'clm4_5_CRUv7'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1979', 'lnd_tuning_mode': 'clm4_5_cam7.0'}
is .true. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'sim_year': '1979', 'lnd_tuning_mode': 'clm4_5_cam6.0'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm4_5', 'lnd_tuning_mode': 'clm4_5_cam5.0'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm4_5', 'lnd_tuning_mode': 'clm4_5_cam4.0'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm5_0', 'lnd_tuning_mode': 'clm5_0_cam5.0'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm5_0', 'lnd_tuning_mode': 'clm5_0_cam4.0'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm6_0', 'lnd_tuning_mode': 'clm6_0_cam5.0'}
is .false. for: {'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm6_0', 'lnd_tuning_mode': 'clm6_0_cam4.0'}
.false.
If set to .true., interpinic will be called to interpolate the file given by finidat,
creating the output file specified by finidat_interp_dest.

This requires that finidat be non-blank.
diri modelio datm char*512 ['any char'] .
datm input directory
diro modelio datm char*512 ['any char'] .
datm output directory
logfile modelio datm char*512 ['any char']
Datm logfile name
bgc_mode default_settings default_settings char*5 ['sp', 'bgc', 'fates'] sp
Command line arguement for biogeochemistry mode for CLM4.5
   sp  = Satellitte Phenology
   bgc = CLM4.5 BGC model with:
        CENTURY model pools
        Nitrification/De-nitrification
        Methane model
        Vertically resolved Carbon
   fates = FATES Functionally Assembled Terrestrial Ecosystem Simulator (ecosystem demography model with below ground BGC):
chk_res default_settings default_settings integer ['0', '1'] 0
Check that the resolution and land-mask is valid before continuing.
clm_accelerated_spinup default_settings default_settings char*4 ['on', 'sasu', 'off'] off
Command line argument for setting up your simulation in a mode for faster
throughput. By default turns off some options, and sets up for a lower level
of output. When bgc_mode is some level of prognostic BGC (so NOT Satellite Phenology)
it also sets up for accelerated decomposition. The "sasu" mode sets up
for using the CN-matrix mode with Semi-Analytic Spin Up.
NOTE: THIS CORRESPONDS DIRECTLY TO THE env_run.xml VARIABLE OF THE SAME NAME.
      Set the env_run variable, rather than setting this directly.
clm_demand default_settings default_settings char*256 ['any char'] is null for: {'sim_year_range': '1850-2100', 'neon': '.true.'}
is null for: {'sim_year_range': 'constant'}
is flanduse_timeseries for: {'sim_year_range': '1850-2000'}
is flanduse_timeseries for: {'sim_year_range': '1850-2100'}
Namelist entries to demand be provided on the namelist.
clm_start_type default_settings default_settings char*8 ['default', 'cold', 'arb_ic', 'startup', 'continue', 'branch'] arb_ic
is cold for: {'bgc_spinup': 'on'}
is cold for: {'use_cndv': '.true.'}
is cold for: {'use_fates': '.true.'}
is startup for: {'sim_year': '1850'}
is startup for: {'sim_year': '2000'}
is cold for: {'phys': 'clm4_5', 'lnd_tuning_mode': 'clm4_5_cam5.0'}
is cold for: {'phys': 'clm4_5', 'lnd_tuning_mode': 'clm4_5_cam4.0'}
is cold for: {'phys': 'clm5_0', 'lnd_tuning_mode': 'clm5_0_cam5.0'}
is cold for: {'phys': 'clm5_0', 'lnd_tuning_mode': 'clm5_0_cam4.0'}
is cold for: {'phys': 'clm6_0', 'lnd_tuning_mode': 'clm6_0_cam5.0'}
is cold for: {'phys': 'clm6_0', 'lnd_tuning_mode': 'clm6_0_cam4.0'}
is arb_ic for: {'sim_year_range': '1850-2100'}
CLM run type.
    'default' use the default type of clm_start type for this configuration
    'cold' is a run from arbitrary initial conditions
    'arb_ic' is a run using initial conditions if provided, OR arbitrary initial conditions if no files can be found
    'startup' is an initial run with initial conditions provided.
    'continue' is a restart run.
    'branch' is a restart run in which properties of the output history files may be changed.
finundation_res default_settings default_settings char*10 ['none', '0.9x1.25'] is 0.9x1.25 for: {'finundation_method': 'TWS_inversion'}
is 0.9x1.25 for: {'finundation_method': 'ZWT_inversion'}
Resolution of finundated inversion streams dataset (stream_fldfilename_ch4finundated)
to use for methane model
(only applies when CN and methane model are turned on)
for_testing_no_crop_seed_replenishment clm_inparm default_settings logical ['.true.', '.false.'] .false.
If true, do NOT use grain C/N to replenish the crop seed deficits. This
is needed when doing software testing to verify that we can get
bit-for-bit identical answers when using a reproductive structure pool
as when using a grain pool (in conjunction with
for_testing_use_repr_structure_pool). We do this testing to have some
tests of the infrastructure to support the AgSys crop model integration.
This option can be dropped if/when we stop doing this software testing,
e.g., because we have integrated AgSys and have tests of it that make
these software infrastructure tests obsolete.
for_testing_run_ncdiopio_tests clm_inparm default_settings logical ['.true.', '.false.'] .false.
Whether to run some tests of ncdio_pio as part of the model run. This is
typically only used in automated tests.
for_testing_use_repr_structure_pool clm_inparm default_settings logical ['.true.', '.false.'] .false.
If true, allocate memory for two crop reproductive structure pools and
send all reproductive C and N to the second reproductive structure pool
instead of the grain pool. This is meant only for software testing of
infrastructure to support the AgSys crop model integration. This option
can be dropped once AgSys is integrated and we have tests of it.
for_testing_use_second_grain_pool clm_inparm default_settings logical ['.true.', '.false.'] .false.
If true, allocate memory for and use a second crop grain pool. This is
meant only for software testing of infrastructure to support the AgSys
crop model integration. This option can be dropped once AgSys is
integrated and we have tests of it.
init_interp_attributes default_settings default_settings char*256 ['any char'] is hgrid=0.9x1.25 maxpft=17 mask=gx1v7 use_cn=.true. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1850', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm4_5_GSWP3v1'}
is hgrid=0.9x1.25 maxpft=17 mask=gx1v7 use_cn=.true. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1850', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm4_5_CRUv7'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.false. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1850', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm4_5_cam7.0'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.false. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1850', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm4_5_cam6.0'}
is hgrid=0.9x1.25 maxpft=17 mask=tx2_3v2 use_cn=.false. use_crop=.false. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.true. for: {'sim_year': '1850', 'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm6_0', 'use_cn': '.false.'}
is hgrid=0.9x1.25 maxpft=17 mask=tx2_3v2 use_cn=.false. use_crop=.false. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.true. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm6_0', 'use_cn': '.false.'}
is hgrid=ne30np4.pg3 maxpft=17 mask=tx2_3v2 use_cn=.false. use_crop=.false. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.true. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm6_0', 'use_cn': '.false.'}
is hgrid=0.9x1.25 maxpft=17 mask=gx1v7 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1850', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_GSWP3v1', 'use_cn': '.false.'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.false. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1850', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_GSWP3v1', 'use_cn': '.true.'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.false. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1850', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_CRUv7', 'use_cn': '.true.'}
is hgrid=0.9x1.25 maxpft=17 mask=gx1v7 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1850', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_CRUv7', 'use_cn': '.false.'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.false. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1850', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.false. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1850', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0'}
is hgrid=0.9x1.25 maxpft=79 mask=tx2_3v2 use_cn=.true. use_crop=.true. irrigate=.false. glc_nex=10 do_transient_pfts=.false. phys=clm6_0 use_excess_ice=.true. for: {'sim_year': '1850', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm6_0_GSWP3v1'}
is hgrid=0.9x1.25 maxpft=79 mask=tx2_3v2 use_cn=.true. use_crop=.true. irrigate=.false. glc_nex=10 do_transient_pfts=.false. lnd_tuning_mode=clm6_0_CRUJRA2024 use_excess_ice=.true. for: {'sim_year': '1850', 'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm6_0'}
is mask=tx2_3v2 use_cn=.true. do_transient_pfts=.false. use_excess_ice=.true. use_crop=.false. irrigate=.false. for: {'sim_year': '1850', 'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm6_0', 'hgrid': '1.9x2.5'}
is mask=tx2_3v2 use_cn=.true. do_transient_pfts=.false. use_excess_ice=.true. use_crop=.true. irrigate=.false. for: {'sim_year': '1850', 'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm6_0', 'hgrid': 'ne30np4.pg3'}
is hgrid=1.9x2.5 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm4_5_GSWP3v1'}
is hgrid=1.9x2.5 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm4_5_CRUv7'}
is hgrid=0.9x1.25 maxpft=17 mask=gx1v7 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1979', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm4_5_cam7.0'}
is hgrid=0.9x1.25 maxpft=17 mask=gx1v7 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1979', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm4_5_cam6.0'}
is hgrid=1.9x2.5 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_GSWP3v1'}
is hgrid=0.9x1.25 maxpft=79 mask=tx2_3v2 use_cn=.true. use_crop=.true. irrigate=.true. glc_nex=10 do_transient_pfts=.false. use_excess_ice=.true. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm6_0'}
is hgrid=ne30np4.pg3 maxpft=79 mask=tx2_3v2 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.true. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm6_0', 'hgrid': 'ne30np4.pg3'}
is hgrid=1.9x2.5 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_CRUv7'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': '0.9x1.25'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': '4x5'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': '10x15'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': '1.9x2.5'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': 'ne3np4.pg3'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm6_0_cam7.0', 'hgrid': 'ne3np4.pg2'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': 'ne5np4.pg3'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': 'ne16np4'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': 'ne16np4.pg3'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': 'ne30np4'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': 'C24'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': 'C48'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': 'C96'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': 'mpasa480'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': 'mpasa240'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': 'mpasa120'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': 'mpasa60'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm6_0_cam7.0', 'hgrid': 'mpasa30'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': 'mpasa15'}
is hgrid=ne120np4.pg3 maxpft=79 mask=tx0.1v3 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0'}
is hgrid=0.9x1.25 maxpft=17 mask=gx1v7 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1979', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': '0.9x1.25', 'use_cn': '.false.', 'maxpft': '17'}
is hgrid=1.9x2.5 maxpft=17 mask=gx1v7 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1979', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': '1.9x2.5', 'use_cn': '.false.', 'maxpft': '17'}
is hgrid=ne0np4.ARCTIC.ne30x4 maxpft=17 mask=tx0.1v2 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1979', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': 'ne0np4.ARCTIC.ne30x4', 'use_cn': '.false.', 'maxpft': '17'}
is hgrid=ne0np4.ARCTICGRIS.ne30x8 maxpft=17 mask=tx0.1v2 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1979', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': 'ne0np4.ARCTICGRIS.ne30x8', 'use_cn': '.false.', 'maxpft': '17'}
is hgrid=1.9x2.5 maxpft=17 mask=gx1v7 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.true. use_excess_ice=.false. lnd_tuning_mode=clm5_0_cam6.0 for: {'sim_year': '2003', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm4_5_cam6.0', 'hgrid': '1.9x2.5', 'use_cn': '.false.', 'maxpft': '17'}
is hgrid=1.9x2.5 maxpft=17 mask=gx1v7 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.true. use_excess_ice=.false. lnd_tuning_mode=clm5_0_cam6.0 for: {'sim_year': '2003', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': '1.9x2.5', 'use_cn': '.false.', 'maxpft': '17'}
is hgrid=1.9x2.5 maxpft=17 mask=gx1v7 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.true. use_excess_ice=.false. lnd_tuning_mode=clm5_0_cam6.0 for: {'sim_year': '2003', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm4_5_cam7.0', 'hgrid': '1.9x2.5', 'use_cn': '.false.', 'maxpft': '17'}
is hgrid=1.9x2.5 maxpft=17 mask=gx1v7 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.true. use_excess_ice=.false. lnd_tuning_mode=clm5_0_cam6.0 for: {'sim_year': '2003', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': '1.9x2.5', 'use_cn': '.false.', 'maxpft': '17'}
is hgrid=ne0np4CONUS.ne30x8 maxpft=17 mask=tx0.1v2 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2013', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam7.0', 'hgrid': 'ne0np4CONUS.ne30x8', 'use_cn': '.false.', 'maxpft': '17'}
is hgrid=0.9x1.25 maxpft=78 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. use_excess_ice=.false. glc_nec=10 do_transient_pfts=.true. lnd_tuning_mode=clm5_0_cam6.0 for: {'sim_year': '2015', 'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm4_5'}
is hgrid=0.9x1.25 maxpft=78 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. use_excess_ice=.false. glc_nec=10 do_transient_pfts=.true. lnd_tuning_mode=clm5_0_cam6.0 for: {'sim_year': '2015', 'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm5_0'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': '0.9x1.25'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': '4x5'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': '10x15'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': '1.9x2.5'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': 'ne3np4.pg3'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': 'ne5np4.pg3'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': 'ne16np4'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': 'ne16np4.pg3'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': 'ne30np4'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': 'C24'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': 'C48'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': 'C96'}
is hgrid=0.9x1.25 maxpft=17 mask=gx1v7 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1979', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': '0.9x1.25', 'use_cn': '.false.', 'maxpft': '17'}
is hgrid=1.9x2.5 maxpft=17 mask=gx1v7 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1979', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': '1.9x2.5', 'use_cn': '.false.', 'maxpft': '17'}
is hgrid=ne0np4.ARCTIC.ne30x4 maxpft=17 mask=tx0.1v2 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1979', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': 'ne0np4.ARCTIC.ne30x4', 'use_cn': '.false.', 'maxpft': '17'}
is hgrid=ne0np4.ARCTICGRIS.ne30x8 maxpft=17 mask=tx0.1v2 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1979', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': 'ne0np4.ARCTICGRIS.ne30x8', 'use_cn': '.false.', 'maxpft': '17'}
is hgrid=ne0np4CONUS.ne30x8 maxpft=17 mask=tx0.1v2 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2013', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': 'ne0np4CONUS.ne30x8', 'use_cn': '.false.', 'maxpft': '17'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': 'mpasa480'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': 'mpasa240'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': 'mpasa120'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': 'mpasa60'}
is hgrid=0.9x1.25 maxpft=79 mask=gx1v7 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0', 'hgrid': 'mpasa15'}
is hgrid=ne120np4.pg3 maxpft=79 mask=tx0.1v3 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm5_0_cam6.0'}
is hgrid=ne120np4.pg3 maxpft=79 mask=tx0.1v3 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2000', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm6_0_cam7.0'}
is hgrid=ne120np4.pg3 maxpft=79 mask=tx0.1v3 use_cn=.true. use_crop=.true. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1979', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm6_0_cam7.0'}
is maxpft=79 mask=tx2_3v2 use_cn=.true. use_crop=.true. glc_nec=10 use_excess_ice=.true. for: {'sim_year': '2010', 'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm6_0', 'hgrid': '0.9x1.25'}
is maxpft=79 mask=tx2_3v2 use_cn=.true. use_crop=.true. glc_nec=10 use_excess_ice=.true. for: {'sim_year': '2010', 'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm6_0', 'hgrid': 'ne30np4.pg3'}
is maxpft=79 mask=tx2_3v2 use_cn=.true. use_crop=.true. glc_nec=10 use_excess_ice=.true. for: {'sim_year': '1979', 'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm6_0', 'hgrid': '0.9x1.25'}
is hgrid=0.9x1.25 maxpft=79 mask=tx2_3v2 use_cn=.true. use_crop=.true. glc_nec=10 use_excess_ice=.true. for: {'sim_year': '1979', 'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm6_0', 'hgrid': '1.9x2.5'}
is hgrid=ne0np4.ARCTIC.ne30x4 maxpft=17 mask=tx0.1v2 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1979', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm6_0_cam6.0', 'hgrid': 'ne0np4.ARCTIC.ne30x4', 'use_cn': '.false.', 'maxpft': '17'}
is hgrid=ne0np4.ARCTICGRIS.ne30x8 maxpft=17 mask=tx0.1v2 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1979', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm6_0_cam6.0', 'hgrid': 'ne0np4.ARCTICGRIS.ne30x8', 'use_cn': '.false.', 'maxpft': '17'}
is maxpft=79 mask=tx2_3v2 use_cn=.true. use_crop=.true. glc_nec=10 use_excess_ice=.true. for: {'sim_year': '1979', 'use_cndv': '.false.', 'use_fates': '.false.', 'phys': 'clm6_0', 'hgrid': 'ne30np4.pg3'}
is hgrid=ne0np4.ARCTIC.ne30x4 maxpft=17 mask=tx0.1v2 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1979', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm6_0_cam7.0', 'hgrid': 'ne0np4.ARCTIC.ne30x4', 'use_cn': '.false.', 'maxpft': '17'}
is hgrid=ne0np4.ARCTICGRIS.ne30x8 maxpft=17 mask=tx0.1v2 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '1979', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm6_0_cam7.0', 'hgrid': 'ne0np4.ARCTICGRIS.ne30x8', 'use_cn': '.false.', 'maxpft': '17'}
is hgrid=ne0np4CONUS.ne30x8 maxpft=17 mask=tx0.1v2 use_cn=.false. use_crop=.false. irrigate=.true. glc_nec=10 do_transient_pfts=.false. use_excess_ice=.false. for: {'sim_year': '2013', 'use_cndv': '.false.', 'use_fates': '.false.', 'lnd_tuning_mode': 'clm6_0_cam7.0', 'hgrid': 'ne0np4CONUS.ne30x8', 'use_cn': '.false.', 'maxpft': '17'}
Attributes to use when looking for an initial condition file (finidat) if interpolation is turned on (use_init_interp is .true.)
init_interp_how_close default_settings default_settings integer ['any integer'] 61
How close in years to use when looking for an initial condition file (finidat) if interpolation is turned on (use_init_interp is .true.)
init_interp_sim_years default_settings default_settings integer(6) ['1850', '1979', '2000', '2003', '2010', '2013'] 1850,1979,2000,2003,2010,2013,2015
Simulation years you can look for in initial condition files (finidat) if interpolation is turned on (use_init_interp is .true.)
light_res default_settings default_settings char*10 ['none', '360x720', '106x174', '94x192'] is none for: {'use_cn': '.false.'}
is none for: {'use_cn': '.true.', 'fire_method': 'nofire'}
is 106x174 for: {'use_cn': '.true.', 'neon': '.true.'}
is 360x720 for: {'use_cn': '.true.'}
is 94x192 for: {'use_cn': '.true.', 'phys': 'clm5_0'}
is 94x192 for: {'use_cn': '.true.', 'phys': 'clm4_5'}
is none for: {'use_fates': '.true.'}
is none for: {'use_fates': '.true.', 'fates_spitfire_mode': '0'}
is none for: {'use_fates': '.true.', 'fates_spitfire_mode': '1'}
is 360x720 for: {'use_fates': '.true.', 'fates_spitfire_mode': '2'}
is 360x720 for: {'use_fates': '.true.', 'fates_spitfire_mode': '3'}
is 360x720 for: {'use_fates': '.true.', 'fates_spitfire_mode': '4'}
is 360x720 for: {'use_fates': '.true.', 'fates_spitfire_mode': '5'}
is 106x174 for: {'use_fates': '.true.', 'fates_spitfire_mode': '2', 'neon': '.true.'}
is 106x174 for: {'use_fates': '.true.', 'fates_spitfire_mode': '3', 'neon': '.true.'}
is 106x174 for: {'use_fates': '.true.', 'fates_spitfire_mode': '4', 'neon': '.true.'}
is 106x174 for: {'use_fates': '.true.', 'fates_spitfire_mode': '5', 'neon': '.true.'}
Resolution of Lightning dataset to use for CN or FATES fire model
(only applies when CN or FATES and the fire model is turned on)
lnd_tuning_mode default_settings default_settings char*20 ['clm4_5_CRUv7', 'clm4_5_GSWP3v1', 'clm4_5_cam7.0', 'clm4_5_cam6.0', 'clm4_5_cam5.0', 'clm4_5_cam4.0', 'clm5_0_cam7.0', 'clm5_0_cam6.0', 'clm5_0_cam5.0', 'clm5_0_cam4.0', 'clm5_0_CRUv7', 'clm5_0_GSWP3v1', 'clm5_0_CRUJRA2024', 'clm6_0_GSWP3v1', 'clm6_0_CRUJRA2024', 'clm6_0_cam7.0', 'clm6_0_cam6.0', 'clm6_0_cam5.0', 'clm6_0_cam4.0'] is clm4_5_CRUv7 for: {'phys': 'clm4_5'}
is clm5_0_cam6.0 for: {'phys': 'clm5_0'}
is clm6_0_CRUJRA2024 for: {'phys': 'clm6_0'}
General configuration of model version and atmospheric forcing to tune the model to run under.
This sets the model to run with constants and initial conditions that were set to run well under
the configuration of model version and atmospheric forcing. To run well constants would need to be changed
to run with a different type of atmospheric forcing.
(Some options for the newest physics will be based on previous tuning, and buildnml will let you know about this)
mask default_settings default_settings char*10 ['USGS', 'gx3v7', 'gx1v6', 'gx1v7', 'navy', 'test', 'tx0.1v2', 'tx0.1v3', 'tx1v1', 'T62', 'cruncep', 'nldas2'] is gx1v6 for: {'hgrid': '0.23x0.31'}
is gx1v6 for: {'hgrid': '0.47x0.63'}
is gx1v7 for: {'hgrid': '0.9x1.25'}
is gx1v7 for: {'hgrid': '1.9x2.5'}
is gx3v7 for: {'hgrid': '2.5x3.33'}
is gx3v7 for: {'hgrid': '4x5'}
is gx3v7 for: {'hgrid': '10x15'}
is cruncep for: {'hgrid': '360x720cru'}
is gx1v7 for: {'hgrid': '128x256'}
is gx1v7 for: {'hgrid': '64x128'}
is gx3v7 for: {'hgrid': '48x96'}
is gx3v7 for: {'hgrid': '32x64'}
is gx3v7 for: {'hgrid': '8x16'}
is T62 for: {'hgrid': '94x192'}
is gx1v6 for: {'hgrid': 'ne120'}
is gx1v6 for: {'hgrid': 'ne240'}
is gx1v6 for: {'hgrid': 'ne30'}
is nldas2 for: {'hgrid': '0.125nldas2'}
is navy for: {'hgrid': '5x5_amazon'}
is navy for: {'hgrid': '1x1_vancouverCAN'}
is navy for: {'hgrid': '1x1_mexicocityMEX'}
is navy for: {'hgrid': '1x1_asphaltjungleNJ'}
is navy for: {'hgrid': '1x1_brazil'}
is test for: {'hgrid': '1x1_urbanc_alpha'}
is navy for: {'hgrid': '1x1_numaIA'}
is test for: {'hgrid': '1x1_smallvilleIA'}
is test for: {'hgrid': '1x1_cidadinhoBR'}
gx1v7
Land mask description
megan default_settings default_settings integer ['0', '1'] 1
is 0 for: {'clm_accelerated_spinup': 'on'}
is 0 for: {'clm_accelerated_spinup': 'sasu'}
is 0 for: {'configuration': 'nwp'}
If 1, turn on the MEGAN model for BVOC's (Biogenic Volatile Organic Compounds)
note default_settings default_settings integer ['0', '1'] is 1 for: {'mode': 'clm_stndln'}
is 0 for: {'mode': 'ext_cesm'}
Add a note to the output namelist about the options given to build-namelist
sim_year default_settings default_settings char*4 ['PtVg', '1000', '850', '1100', '1350', '1600', '1850', '1855', '1865', '1875', '1885', '1895', '1905', '1915', '1925', '1935', '1945', '1955', '1965', '1975', '1979', '1980', '1982', '1985', '1995', '2000', '2005', '2010', '2013', '2015', '2018', '2025', '2035', '2045', '2055', '2065', '2075', '2085', '2095', '2105'] 2000
2000
Year to simulate and to provide datasets for (such as surface datasets, initial conditions, aerosol-deposition, Nitrogen deposition rates etc.)
A sim_year of 1000 corresponds to data used for testing only, NOT corresponding to any real datasets.
A sim_year greater than 2015 corresponds to ssp_rcp scenario data
A sim_year of PtVg refers to the Potential Vegetation dataset, that doesn't include human influences
Most years are only used for clm_tools and there aren't CLM datasets that correspond to them.
CLM datasets exist for years: 1000 (for testing), 1850, and 2000
sim_year_range default_settings default_settings char*9 ['constant', '1000-1002', '1000-1004', '850-1850', '1850-1855', '1850-2000', '1850-2005', '1850-2100', '1980-2015', '2000-2025', '2000-2100'] constant
Range of years to simulate transitory datasets for (such as dynamic: land-use datasets, aerosol-deposition, Nitrogen deposition rates etc.)
Constant means simulation will be held at a constant year given in sim_year.
A sim_year_range of 1000-1002 or 1000-1004 corresponds to data used for testing only, NOT corresponding to any real datasets.
A sim_year_range that goes beyond 2005 corresponds to historical data until 2005 and then scenario data beyond that point.
ssp_rcp default_settings default_settings char*8 ['hist', 'SSP1-2.6', 'SSP3-7.0', 'SSP5-3.4', 'SSP2-4.5', 'SSP1-1.9', 'SSP4-3.4', 'SSP4-6.0', 'SSP5-8.5'] hist
Shared Socioeconomic Pathway (SSP) and Representative Concentration Pathway (RCP) combination for future scenarios
The form is SSPn-m.m Where n is the SSP number and m.m is RCP radiative forcing at peak or 2100 in W/m^2
n is just the whole number of the specific SSP scenario. The lower numbers have higher mitigation
- the higher numbers less mitigation, more than one SSP can result in the same RCP forcing
hist means do NOT use a future scenario, just use historical data.
use_case_desc use_case_desc default_settings char*256 ['any char']
Description of the use case selected.
use_noio clm_inparm default_settings logical ['.true.', '.false.']
Toggle to turn all history output completely OFF (possibly used for testing)
force_send_to_atm ctsm_nuopc_cap drv_physics logical ['.true.', '.false.']
If TRUE (which is the default), send the expcrt state for the nuopc driver to the ATM even if running with a data ATM
hist_all_fields clm_inparm history logical ['.true.', '.false.']
If TRUE, indicates output ALL history fields on the primary tape.
hist_avgflag_pertape clm_inparm history char*10(10) ['any char']
Per file averaging flag.
    'A' (average over history period)
    'I' (instantaneous)
    'X' (maximum over history period)
    'M' (minimum over history period)
    'LXXXXX' (local solar time at XXXXX seconds of day)
hist_dov2xy clm_inparm history logical(10) ['any logical(10)']
If TRUE, implies output data on a 2D latitude/longitude grid. False means
output in 1D vector format.  One setting per history tape series.
hist_empty_htapes clm_inparm history logical ['.true.', '.false.'] is .true. for: {'clm_accelerated_spinup': 'on'}
is .true. for: {'clm_accelerated_spinup': 'sasu'}
If TRUE, indicates do NOT output any default history fields (requires you to use
hist_fincl1 to set the exact output fields to use). Note only the
primary tape has default history fields.
hist_fexcl1 clm_inparm history char*64(1000) ['any char']
Fields to exclude from history tape series 1.
hist_fexcl10 clm_inparm history char*64(1000) ['any char']
Fields to exclude from history tape series 10.
hist_fexcl2 clm_inparm history char*64(1000) ['any char']
Fields to exclude from history tape series  2.
hist_fexcl3 clm_inparm history char*64(1000) ['any char']
Fields to exclude from history tape series  3.
hist_fexcl4 clm_inparm history char*64(1000) ['any char']
Fields to exclude from history tape series  4.
hist_fexcl5 clm_inparm history char*64(1000) ['any char']
Fields to exclude from history tape series  5.
hist_fexcl6 clm_inparm history char*64(1000) ['any char']
Fields to exclude from history tape series  6.
hist_fexcl7 clm_inparm history char*64(1000) ['any char']
Fields to exclude from history tape series  7.
hist_fexcl8 clm_inparm history char*64(1000) ['any char']
Fields to exclude from history tape series  8.
hist_fexcl9 clm_inparm history char*64(1000) ['any char']
Fields to exclude from history tape series  9.
hist_fields_list_file clm_inparm history logical ['.true.', '.false.'] .false.
If TRUE, write list of all output fields to separate file for documentation purposes
hist_fincl1 clm_inparm history char*64(1000) ['any char'] is 'TOTECOSYSC','TOTECOSYSN','TOTSOMC','TOTSOMN','TOTVEGC','TOTVEGN','TLAI','GPP','NPP','TWS','TSAI','HTOP','HBOT','H2OSNO' for: {'clm_accelerated_spinup': 'on', 'use_cn': '.true.', 'use_cndv': '.true.'}
is 'TOTECOSYSC','TOTECOSYSN','TOTSOMC','TOTSOMN','TOTVEGC','TOTVEGN','TLAI','GPP','CPOOL','NPP','TWS','H2OSNO' for: {'clm_accelerated_spinup': 'on', 'use_cn': '.true.'}
is 'TOTSOMC','TOTSOMN','TLAI','GPP','NPP','TWS','H2OSNO' for: {'clm_accelerated_spinup': 'on', 'use_fates': '.true.'}
is 'TLAI','TWS','H2OSNO' for: {'clm_accelerated_spinup': 'on', 'use_cn': '.false.'}
is 'TOTECOSYSC','TOTECOSYSN','TOTSOMC','TOTSOMN','TOTVEGC','TOTVEGN','TLAI','GPP','NPP','TWS','TSAI','HTOP','HBOT','H2OSNO' for: {'clm_accelerated_spinup': 'sasu', 'use_cn': '.true.', 'use_cndv': '.true.'}
is 'TOTECOSYSC','TOTECOSYSN','TOTSOMC','TOTSOMN','TOTVEGC','TOTVEGN','TLAI','GPP','CPOOL','NPP','TWS','H2OSNO' for: {'clm_accelerated_spinup': 'sasu', 'use_cn': '.true.'}
is 'TOTSOMC','TOTSOMN','TLAI','GPP','NPP','TWS','H2OSNO' for: {'clm_accelerated_spinup': 'sasu', 'use_fates': '.true.'}
Fields to add to history tape series  1.
hist_fincl10 clm_inparm history char*64(1000) ['any char']
Fields to add to history tape series 10.
hist_fincl2 clm_inparm history char*64(1000) ['any char']
Fields to add to history tape series  2.
hist_fincl3 clm_inparm history char*64(1000) ['any char']
Fields to add to history tape series  3.
hist_fincl4 clm_inparm history char*64(1000) ['any char']
Fields to add to history tape series  4.
hist_fincl5 clm_inparm history char*64(1000) ['any char']
Fields to add to history tape series  5.
hist_fincl6 clm_inparm history char*64(1000) ['any char']
Fields to add to history tape series  6.
hist_fincl7 clm_inparm history char*64(1000) ['any char']
Fields to add to history tape series  7.
hist_fincl8 clm_inparm history char*64(1000) ['any char']
Fields to add to history tape series  8.
hist_fincl9 clm_inparm history char*64(1000) ['any char']
Fields to add to history tape series  9.
hist_mfilt clm_inparm history integer(10) ['any integer(10)'] is 20 for: {'clm_accelerated_spinup': 'on'}
is 20 for: {'clm_accelerated_spinup': 'sasu'}
Per tape series  maximum number of time samples.
hist_ndens clm_inparm history integer(10) ['1', '2']
Per tape series  history file density (i.e. output precision)
    1=double precision
    2=single precision
hist_nhtfrq clm_inparm history integer(10) ['any integer(10)'] is -8760 for: {'clm_accelerated_spinup': 'on'}
is -8760 for: {'clm_accelerated_spinup': 'sasu'}
Per tape series history write frequency.
    positive means in time steps
    0=monthly
    negative means hours
(i.e. 5 means every 24 time-steps and -24 means every day
hist_type1d_pertape clm_inparm history char*4(10) ['GRID', 'LAND', 'COLS', 'PFTS', ' ']
Averaging type of output for 1D vector output (when hist_dov2xy is false).
    GRID means average all land-units up to the grid-point level
    LAND means average all columns up to the land-unit level
    COLS means average all PFT's up to the column level
    PFTS means report everything on native PFT level
hist_wrtch4diag clm_inparm history logical ['.true.', '.false.']
If TRUE, add extra diagnostics for methane model to the history files
megan_min_gamma_sm megan_opts MEGAN_emissions real ['any real'] 0.0d00
Minimum activity factor for soil moisture for MEGAN isoprene emissions.
megan_use_gamma_sm megan_opts MEGAN_emissions logical ['.true.', '.false.'] .false.
If TRUE, use activity factor for soil moisture for MEGAN isoprene emissions.
mksrf_edgee clmexp mkgriddata real ['any real']
Eastern edge of the regional grid
mksrf_edgen clmexp mkgriddata real ['any real']
Northern edge of the regional grid
mksrf_edges clmexp mkgriddata real ['any real']
Southern edge of the regional grid
mksrf_edgew clmexp mkgriddata real ['any real']
Western edge of the regional grid
mksrf_fcamfile clmexp mkgriddata char*512 ['any char']
CAM file
mksrf_fcamtopo clmexp mkgriddata char*512 ['any char']
CAM topography file
mksrf_fccsmdom clmexp mkgriddata char*512 ['any char']
CESM domain file
mksrf_fclmgrid clmexp mkgriddata char*512 ['any char']
CLM grid file
mksrf_fnavyoro clmexp mkgriddata char*512 ['any char']
Orography file with surface heights and land area fraction
mksrf_frawtopo clmexp mkgriddata char*512 ['any char']
Raw topography file
mksrf_lsmlat clmexp mkgriddata integer ['any integer']
Number of latitudes to use for a regional grid (for single-point set to 1)
mksrf_lsmlon clmexp mkgriddata integer ['any integer']
Number of longitudes to use for a regional grid (for single-point set to 1)
lmask default_settings mksurfdata char*10 ['nomask', 'navy', 'AVHRR', 'MODIS', 'USGS', 'IGBPmergeICESatGIS', 'IGBP-GSDP', 'ISRIC-WISE', 'LandScan2004', 'GLOBE-Gardner', 'GLOBE-Gardner-mergeGIS', 'GRDC', 'HYDRO1K-merge-nomask', 'ORNL-Soil']
Land mask description for mksurfdata input files
map clmexp mksurfdata char*512 ['any char']
Mapping file to go from one resolution/land-mask to another resolution/land-mask
baset_latvary_intercept crop_inparm physics real ['any real'] is 12.0d00 for: {'use_crop': '.true.', 'baset_mapping': 'varytropicsbylat'}
Only used when baset_mapping == varytropicsbylat
Intercept at zero latitude to add to baset from the PFT parameter file
baset_latvary_slope crop_inparm physics real ['any real'] is 0.4d00 for: {'use_crop': '.true.', 'baset_mapping': 'varytropicsbylat'}
Only used when baset_mapping == varytropicsbylat
Slope with latitude in degrees to vary tropical baset by
baset_mapping crop_inparm physics char*20 ['constant', 'varytropicsbylat'] is varytropicsbylat for: {'use_crop': '.true.'}
is constant for: {'use_crop': '.true.', 'phys': 'clm4_5'}
Type of mapping to use for base temperature for prognostic crop model
constant = Just use baset from the PFT parameter file
varytropicsbylat = Vary the tropics by latitude
ch4finundatedmapalgo ch4finundated physics char*256 ['bilinear', 'nn', 'redist', 'consd', 'consf', 'none']
Mapping method for the finundated inversion input file to the model resolution
(Only used when use_ch4 is TRUE)
    bilinear = bilinear interpolation
    nn       = nearest neighbor
    redist   = Redistributes data from source mesh to destination mesh
    consd    = First-order conservative interpolation
    consf    = Same as consd with fraction area normalization
    none     = no interpolation
collapse_urban clm_inparm physics logical ['.true.', '.false.'] is .false. for: {'structure': 'standard'}
is .true. for: {'structure': 'fast'}
If true, this directs the model to collapse the urban landunits to the dominant urban landunit. Selecting .false. means DO NOTHING, ie all urban landunits found in the input data are active.
convert_ocean_to_land clm_inparm physics logical ['.true.', '.false.'] .true.
If true, any ocean (i.e., wetland) points on the surface dataset are
converted to bare ground (or whatever vegetation is given in that grid
cell - but typically this will be bare ground due to lack of vegetation
in grid cells with 100% ocean).
crop_residue_removal_frac clm_inparm physics real ['any real'] 0.d+0
is 0.5d00 for: {'phys': 'clm6_0'}
Fraction of post-harvest crop residues (leaf and stem) to move to
1-year product pool instead of letting them fall as litter.
do_grossunrep dynamic_subgrid physics logical ['.true.', '.false.']
If TRUE, apply gross unrepresented landuse/land-cover change from flanduse_timeseries file.
(Only valid for transient runs, where there is a flanduse_timeseries file.)
(Also, only valid for use_cn = true.)
do_harvest dynamic_subgrid physics logical ['.true.', '.false.']
If TRUE, apply harvest from flanduse_timeseries file.
(Only valid for transient runs, where there is a flanduse_timeseries file.)
(Also, only valid for use_cn = true.)
do_transient_crops dynamic_subgrid physics logical ['.true.', '.false.']
If TRUE, apply transient crops from flanduse_timeseries file.
(Only valid for transient runs, where there is a flanduse_timeseries file.)
do_transient_lakes dynamic_subgrid physics logical ['.true.', '.false.'] .false.
If TRUE, apply transient lakes from flanduse_timeseries file.
(Only valid for transient runs, where there is a flanduse_timeseries file.)
do_transient_pfts dynamic_subgrid physics logical ['.true.', '.false.']
If TRUE, apply transient natural PFTs from flanduse_timeseries file.
(Only valid for transient runs, where there is a flanduse_timeseries file.)
do_transient_urban dynamic_subgrid physics logical ['.true.', '.false.'] .false.
If TRUE, apply transient urban from flanduse_timeseries file.
(Only valid for transient runs, where there is a flanduse_timeseries file.)
downscale_hillslope_meteorology clm_inparm physics logical ['.true.', '.false.'] .true.
Toggle to turn on meteorological downscaling in hillslope model
fates_cstarvation_model clm_inparm physics char*256 ['linear', 'exponential'] is linear for: {'use_fates': '.true.'}
Set the FATES carbon starvation model
fates_electron_transport_model clm_inparm physics char*256 ['FvCB1980', 'JohnsonBerry2021'] is FvCB1980 for: {'use_fates': '.true.'}
Set the FATES electron transport model to either Johnson-Berry 2021 or
  Farquhar von Caemmerer and Berry 1980 (FvCB1980).
fates_harvest_mode clm_inparm physics char*18 ['no_harvest', 'event_code', 'landuse_timeseries', 'luhdata_area', 'luhdata_mass'] is no_harvest for: {'use_fates': '.true.'}
Set FATES harvesting mode by setting fates_harvest_mode to a valid string option.
Allowed values are:
 no_harvest: no fates harvesting of any kind
 event_code: fates logging via fates logging event codes (see fates parameter file) only
 landuse_timeseries: fates harvest driven by CLM flanduse_timeseries file (dynHarvestMod)**
 luhdata_area: fates harvest driven by LUH2 raw harvest data, area-based (dynFATESLandUseChangeMod)
 luhdata_mass: fates harvest driven by LUH2 raw harvest data, mass-based (dynFATESLandUseChangeMod)
**Note that the landuse_timeseries option is not the same as the FATES fluh_timeseries data file.
This option is older than the luhdata options and may be depricated at some point in the future.
fates_history_dimlevel clm_inparm physics integer(2) ['0', '1', '2'] is 2,2 for: {'use_fates': '.true.'}
  Setting for what types of FATES history to be allocate and
  calculated at the dynamics timestep (1st integer) and the
  model timestep (2nd integer). This must be consistent with
  hist_fincl*, ie output variables must not be listed if the
  output level is not enabled.
  0 = no fates history variables are calculated or allocated
  1 = only time x space (3d) fates history variables allowed
  2 = multiplexed dimensioned fates history is also allowed
  (Only relevant if FATES is on)
fates_hydro_solver clm_inparm physics char*256 ['1D_Taylor', '2D_Picard', '2D_Newton'] is 2D_Picard for: {'use_fates': '.true.'}
Set the FATES hydro solver method
fates_leafresp_model clm_inparm physics char*256 ['ryan1991', 'atkin2017'] is ryan1991 for: {'use_fates': '.true.'}
Set the FATES leaf maintenance respiration model
fates_lu_transition_logic clm_inparm physics integer ['1', '2', '3', '4', '5', '6', '7', '8', '9'] is 4 for: {'use_fates': '.true.'}
is 4 for: {'use_fates': '.true.', 'use_fates_luh': '.true.'}
Select the logic for land use class transitions.
Allowed values are 1-9. See the Land Use subsection of the Namelist Options section 
of the FATES user guide for an explanation of the options.
(Only relevant if FATES with land use is on)
fates_parteh_mode clm_inparm physics char*80 ['carbon_only', 'carbon_nitrogen'] is carbon_only for: {'use_fates': '.true.'}
Switch deciding which nutrient model to use in FATES.
(Only relevant if FATES is on)
(fates_parteh_mode='carbon_nitrogen' is EXPERIMENTAL and UNSUPPORTED)
fates_photosynth_acclimation clm_inparm physics char*256 ['nonacclimating', 'kumarathunge2019'] is nonacclimating for: {'use_fates': '.true.'}
Set the FATES photosynthesis temperature acclimation model.
(Only relevant if FATES is on)
fates_radiation_model clm_inparm physics char*256 ['norman', 'twostream'] is norman for: {'use_fates': '.true.'}
Set the FATES radiation model
fates_regeneration_model clm_inparm physics char*256 ['default', 'trs', 'trs_no_seed_dyn'] is default for: {'use_fates': '.true.'}
Set the FATES seed regeneration model
Valid values:
  default: default scheme
  trs: Tree Recruitment Scheme (Hanbury-Brown et al., 2022)
  trs_no_seed_dyn: Tree Recruitment Scheme (Hanbury-Brown et al., 2022) without seed dynamics
fates_seeddisp_cadence clm_inparm physics integer ['0', '1', '2', '3'] is 0 for: {'use_fates': '.true.'}
Switch defining the cadence at which seeds are dispersed across
gridcells.  Setting the switch value to zero turns off dispersal.
Setting the switch to 1, 2, or 3 sets the dispersal cadence to
daily, monthly or yearly.  The daily cadence is primarily
recommended for test and debug only. Note that turning this
feature on will result in more memory usage.
(Only relevant if FATES is on)
fates_spitfire_mode clm_inparm physics integer ['0', '1', '2', '3', '4', '5'] is 0 for: {'use_fates': '.true.'}
is 1 for: {'use_fates': '.true.', 'use_fates_managed_fire': '.true.'}
Turn on spitfire module to simulate fire by setting fates_spitfire_mode > 0.
Allowed values are:
 0 : Simulations of fire are off
 1 : use a global constant lightning rate found in fates_params.
 2 : use an external lightning dataset.
 3 : use an external confirmed ignitions dataset (not available through standard CSEM dataset collection).
 4 : use external lightning and population datasets to simulate both natural and anthropogenic
 5 : use gross domestic production and population datasets to simulate anthropogenic fire supression
ignitions.
(Only relevant if FATES is on)
fates_stomatal_assimilation clm_inparm physics char*256 ['net', 'gross'] is net for: {'use_fates': '.true.'}
Set net or gross asslimiation for the FATES stomatal model
fates_stomatal_model clm_inparm physics char*256 ['ballberry1987', 'medlyn2011'] is ballberry1987 for: {'use_fates': '.true.'}
Set the FATES stomatal conductance model
for_testing_allow_non_annual_changes dynamic_subgrid physics logical ['.true.', '.false.']
If TRUE, allow area changes at times other than the year boundary. This should
only arise in some test configurations where we artifically create changes more
frequently so that we can run short tests. This flag is only used for
error-checking, not controlling any model behavior. Do not set this in a
production (non-test) run unless you know what you're doing!
for_testing_zero_dynbal_fluxes dynamic_subgrid physics logical ['.true.', '.false.']
If TRUE, set the dynbal water and energy fluxes to zero. This should typically
only be done for testing: This is needed in some tests where we have daily
rather than annual glacier dynamics: if we allow the true dynbal adjustment
fluxes in those tests, we end up with sensible heat fluxes of thousands of W m-2
or more, which causes CAM to blow up. However, note that setting it to true will
break water and energy conservation!
generate_crop_gdds cnphenology physics logical ['.true.', '.false.'] .false.
Set to .true. in order to override crop harvesting logic and to instead harvest the day before the next sowing date. Used to generate growing-degree day outputs that can be used with an external script to generate new GDD requirement ("cultivar") files.
hillslope_fsat_equals_zero clm_inparm physics logical ['.true.', '.false.'] .false.
is .true. for: {'use_hillslope': '.true.'}
If true, set fsat to zero for hillslope columns
hillslope_head_gradient_method hillslope_hydrology_inparm physics char*256 ['Kinematic', 'Darcy'] Darcy
Method for calculating hillslope saturated head gradient
hillslope_pft_distribution_method hillslope_properties_inparm physics char*256 ['Standard', 'FromFile', 'DominantPftUniform', 'DominantPftLowland', 'PftLowlandUpland'] Standard
Method for distributing pfts across hillslope columns
hillslope_soil_profile_method hillslope_properties_inparm physics char*256 ['Uniform', 'FromFile', 'SetLowlandUpland', 'Linear'] Uniform
Method for distributing soil thickness across hillslope columns
hillslope_transmissivity_method hillslope_hydrology_inparm physics char*256 ['LayerSum', 'Uniform'] LayerSum
Method for calculating transmissivity of hillslope columns
initial_seed_at_planting cnphenology physics real ['any real'] is 3.d00 for: {'use_crop': '.true.'}
is 1.d00 for: {'use_crop': '.true.', 'phys': 'clm4_5'}
Initial seed Carbon to use at planting
(only used when CN is on as well as crop)
max_tillage_depth tillage_inparm physics real ['any real'] 0.26d00
Maximum depth to till soil (m). Default 0.26; original (Graham et al., 2021) value was unintentionally 0.32.
min_critical_dayl_method cnphenology physics char*25 ['Constant', 'DependsOnLat', 'DependsOnVeg', 'DependsOnLatAndVeg'] Constant
is DependsOnLat for: {'use_cn': '.true.', 'phys': 'clm6_0'}
Method for determining what the minimum critical day length for seasonal decidious leaf offset depends on
Constant ----------- constant value of crit_dayl from parameter file (value from White 2001)
DependsOnLat ------- Higher values at high latitudes down to value from parameter file for temperate and equatorial regions
                     (L. Birch et. al, GMD 2021)
DependsOnVeg ------- Arctic vegetation with higher value and temperate vegetation with crit_dayl from parameter file
DependsOnLatAndVeg - Arctic vegetation depends on latitude as above, but temperate vegetation fixed at crit_dayl value from parameter file
(only used when CN is on)
n_dom_landunits clm_inparm physics integer ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9'] is 0 for: {'structure': 'standard'}
is 1 for: {'structure': 'fast'}
Number of dominant landunits, so this determines the number of active landunits. Selecting the value 0 means DO NOTHING, ie all landunits in the input data are active.
n_dom_pfts clm_inparm physics integer ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'] is 0 for: {'structure': 'standard'}
is 1 for: {'structure': 'fast'}
Number of dominant pfts, so this determines the number of active pfts. Selecting the value 0 means DO NOTHING, ie all pfts in the input data are active.
o3_veg_stress_method clm_inparm physics char*32 ['unset', 'stress_lombardozzi2015', 'stress_falk'] unset
       Parameter to set the type of ozone vegetation stress method
       unset                  = (default) ozone stress vegetation method is off
       stress_lombardozzi2015 = ozone stress vegetation functions from Danica Lombardozzi 2015
       stress_falk            = ozone stress vegetation functions from Stefanie Falk (issue #1224)
onset_thresh_depends_on_veg cnphenology physics logical ['.true.', '.false.'] .false.
is .true. for: {'use_cn': '.true.', 'phys': 'clm6_0'}
Phenology onset depends on the vegetation type
(only used when CN is on)
prigentroughnessmapalgo prigentroughness physics char*256 ['bilinear', 'nn', 'redist', 'consd', 'consf', 'none']
Mapping method for the Prigent roughness input file to the model resolution
(Only used when use_prigent_roughness is TRUE and normally only needed with the Leung_2023 dust emission method)
    bilinear = bilinear interpolation
    nn       = nearest neighbor
    redist   = Redistributes data from source mesh to destination mesh
    consd    = First-order conservative interpolation
    consf    = Same as consd with fraction area normalization
    none     = no interpolation
reset_dynbal_baselines dynamic_subgrid physics logical ['.true.', '.false.'] .false.
If TRUE, reset baseline values of total column water and energy in the
first step of the run. This should typically be set when transitioning
from an offline spinup to a coupled run with transient glaciers, and
*possibly* when transitioning from the spinup to the transient portion
of a coupled run with transient glaciers; it should typically remain
unset at other times.

These baseline values are computed only for particular columns
(currently, only for glacier columns). They provide values that are
subtracted from the current state when counting total column water and
energy. For glacier columns, these discount the water and energy
contents in the "virtual" glacier ice, while adding representative
amounts of water and energy in the non-explicitly-modeled soil beneath
the ice. Subtracting these baselines reduces the fictitious dynbal
fluxes generated when total grid cell water and energy changes as a
result of dynamic column/landunit areas.

These baseline values are initially computed based on cold start
states. If this flag remains unset (.false.), these baseline values will
remain fixed at their cold start values. This will conserve mass and
energy, but may result in larger-than-desired dynbal energy fluxes (and,
in principle, also larger dynbal water fluxes; but currently, the mass
of glacier ice remains fixed over time, so dynbal water fluxes are
fairly small regardless of whether this flag is ever set). To further
reduce these dynbal fluxes, you can set this flag to .true. when
starting a startup or hybrid run from a partially or entirely spun-up
state. This will reset the baseline values based on the state at the
start of this run.

Note that setting this flag can break water and energy conservation!
Specifically, any water and energy that has previously been added to or
removed from states that contribute to these baselines (currently, (a)
glacier ice and (b) soil water and energy in the vegetated landunit in
the same grid cell as glaciers) will effectively be ignored when
computing conservation corrections due to land cover change. Instead,
only the change in states from this point forward will be
considered. So, for example, this flag should NOT be set when
transitioning from a historical run to a future scenario.

This setting only impacts startup and hybrid runs; it has no effect in a
continue run; it is an error for this to be set in a branch
run. Furthermore, this setting has no effect in a cold start run.
suppress_gddmaturity_warning cnphenology physics logical ['.true.', '.false.'] .false.
If set to .true., suppress the warning message when a prescribed cultivar GDD requirement is below the minimum allowed value and is replaced with min_gddmaturity. Useful when using prescribed crop calendars with intentionally low GDD requirements.
tillage_mode tillage_inparm physics char*8 ['off', 'low', 'high'] off
is low for: {'use_crop': '.true.', 'phys': 'clm6_0'}
Whether to till crop soil, and if so, with what intensity.
toosmall_crop clm_inparm physics real ['any real'] 0.d00
Percentage threshold above which the model keeps the crop landunit. Selecting the value 0 means DO NOTHING.
toosmall_glacier clm_inparm physics real ['any real'] 0.d00
Percentage threshold above which the model keeps the glacier landunit. Selecting the value 0 means DO NOTHING.
toosmall_lake clm_inparm physics real ['any real'] 0.d00
Percentage threshold above which the model keeps the lake landunit. Selecting the value 0 means DO NOTHING.
toosmall_soil clm_inparm physics real ['any real'] 0.d00
Percentage threshold above which the model keeps the soil landunit. Selecting the value 0 means DO NOTHING.
toosmall_urban clm_inparm physics real ['any real'] 0.d00
Percentage threshold above which the model keeps the urban landunits. Selecting the value 0 means DO NOTHING. If collapse_urban = .false., the same threshold will apply to all three urban landunits if they are present. If collapse_urban = .true., this threshold will apply to the single collapsed urban landunit if presnet.
toosmall_wetland clm_inparm physics real ['any real'] 0.d00
Percentage threshold above which the model keeps the wetland landunit. Selecting the value 0 means DO NOTHING.
use_crop clm_inparm physics logical ['.true.', '.false.']
Toggle to turn on the prognostic crop model
use_extralakelayers clm_inparm physics logical ['.true.', '.false.']
Toggle to use 25 lake layers instead of 10
(extralaklayers=".true." is EXPERIMENTAL, UNSUPPORTED, and UNTESTED!)
use_fates clm_inparm physics logical ['.true.', '.false.']
Toggle to turn on the FATES model
Functionally Assembled Terrestrial Ecosystem Simulator (FATES)
use_fates_cohort_age_tracking clm_inparm physics logical ['.true.', '.false.'] is .false. for: {'use_fates': '.true.'}
Toggle to turn on cohort age tracking (by default FATES only tracks age of patches)
(Only relevant if FATES is on).
use_fates_daylength_factor clm_inparm physics logical ['.true.', '.false.'] is .true. for: {'use_fates': '.true.'}
If TRUE, enable FATES to utilize the day length factor from the host land model.
(Only relevant if FATES is on)
use_fates_dbh_init clm_inparm physics logical ['.true.', '.false.'] is .false. for: {'use_fates': '.true.'}
Initialize cohorts at coldstart with diameter at breast height instead of density
(Applies only if use_fates_nocomp=.true.)
(Only relevant if FATES is on).
use_fates_ed_prescribed_phys clm_inparm physics logical ['.true.', '.false.'] is .false. for: {'use_fates': '.true.'}
Toggle to turn on prescribed physiology
(Only relevant if FATES is on).
use_fates_ed_st3 clm_inparm physics logical ['.true.', '.false.'] is .false. for: {'use_fates': '.true.'}
Toggle to turn on Static Stand Structure Mode (only relevant if FATES is being used).
(Only relevant if FATES is on).
use_fates_fixed_biogeog clm_inparm physics logical ['.true.', '.false.'] is .true. for: {'use_fates': '.true.', 'use_fates_sp': '.true.'}
is .true. for: {'use_fates': '.true.', 'use_fates_lupft': '.true.'}
is .false. for: {'use_fates': '.true.'}
Toggle to turn on fixed biogeography mode
(Only relevant if FATES is on)
use_fates_inventory_init clm_inparm physics logical ['.true.', '.false.'] is .false. for: {'use_fates': '.true.'}
Toggle to turn on inventory initialization to startup FATES
(Only relevant if FATES is on).
use_fates_luh clm_inparm physics logical ['.true.', '.false.'] is .true. for: {'use_fates': '.true.', 'fates_harvest_mode': 'luhdata_area'}
is .true. for: {'use_fates': '.true.', 'fates_harvest_mode': 'luhdata_mass'}
is .true. for: {'use_fates': '.true.', 'use_fates_lupft': '.true.'}
is .true. for: {'use_fates': '.true.', 'use_fates_potentialveg': '.true.'}
is .false. for: {'use_fates': '.true.'}
If TRUE, enable use of land use harmonization (LUH) state and transition data from luh_timeseries file.
This is enabled by default if fates_harvest_mode is set to use the raw LUH2 harvest data
(Also, only valid for use_fates = true and is incompatible with transient runs currently.)
use_fates_lupft clm_inparm physics logical ['.true.', '.false.'] is .false. for: {'use_fates': '.true.'}
If TRUE, enable use of FATES land use with no competition and fixed biogeography.  This mode
requires the use of the land use x pft association static data map file.  See the
flandusepftdat definition entry in this file for more information.
(Only valid for use_fates = true and is incompatible with transient runs currently.)
use_fates_managed_fire clm_inparm physics logical ['.true.', '.false.'] is .false. for: {'use_fates': '.true.'}
Enable FATES managed fire mode.  Requires that fates_spitfire_mode is on (in any mode).
This mode allows the FATES model to conduct fuel-load reduction through managed burns.
The boundary conditions in which a managed fire is allowed is set via the FATES parameter
file.  The burned area fraction of a managed burn is defined through the FATES parameter
file as well.  This mode works in conjunction with the SPITFIRE module to determine
whether a wildfire or managed fire takes place on a given patch.
(Only relevant if FATES is on)
use_fates_nocomp clm_inparm physics logical ['.true.', '.false.'] is .true. for: {'use_fates': '.true.', 'use_fates_sp': '.true.'}
is .true. for: {'use_fates': '.true.', 'use_fates_lupft': '.true.'}
is .false. for: {'use_fates': '.true.'}
Toggle to turn on no competition mode (only relevant if FATES is being used).
use_fates_planthydro clm_inparm physics logical ['.true.', '.false.'] is .false. for: {'use_fates': '.true.'}
Toggle to turn on plant hydraulics
(Only relevant if FATES is on)
use_fates_potentialveg clm_inparm physics logical ['.true.', '.false.'] is .false. for: {'use_fates': '.true.'}
If TRUE, ignore the land-use state vector and transitions, and assert that all lands
are primary, and that there is no harvest.  This mode is only relevant for FATES
spin-up workflows that are intending to use the spin-up restart output to start a
FATES land use transient case using the use_fates_lupft namelist option.  The option
should be set to true for the spin-up case and false for the transient case.
use_fates_sp clm_inparm physics logical ['.true.', '.false.'] is .false. for: {'use_fates': '.true.'}
Toggle to turn on FATES satellite phenology mode (only relevant if FATES is being used).
use_fates_tree_damage clm_inparm physics logical ['.true.', '.false.'] is .false. for: {'use_fates': '.true.'}
Toggle to turn on the tree damage module in FATES
(Only relevant if FATES is on)
use_fertilizer clm_inparm physics logical ['.true.', '.false.'] .false.
is .true. for: {'use_crop': '.true.'}
Toggle to turn on the prognostic fertilizer for crop model
use_grainproduct clm_inparm physics logical ['.true.', '.false.'] .false.
is .true. for: {'use_crop': '.true.'}
is .false. for: {'use_crop': '.true.', 'phys': 'clm4_5'}
Toggle to turn on the 1-year grain product pool in the crop model
use_hillslope clm_inparm physics logical ['.true.', '.false.'] .false.
is .false. for: {'phys': 'clm5_0'}
is .false. for: {'phys': 'clm4_5'}
Toggle to turn on the hillslope model
use_hillslope_routing clm_inparm physics logical ['.true.', '.false.'] .false.
Toggle to turn on surface water routing in the hillslope hydrology model
use_hydrstress clm_inparm physics logical ['.true.', '.false.'] .false.
is .true. for: {'use_fates': '.false.', 'configuration': 'clm'}
is .false. for: {'phys': 'clm4_5', 'use_fates': '.false.', 'configuration': 'clm'}
Toggle to turn on the plant hydraulic stress model
use_lai_streams clm_inparm physics logical ['.true.', '.false.'] .false.
Toggle to turn on use of LAI streams in place of the LAI on the surface dataset when using Satellite Phenology mode.
use_luna clm_inparm physics logical ['.true.', '.false.'] .true.
is .false. for: {'use_fates': '.true.'}
is .false. for: {'phys': 'clm4_5', 'use_fates': '.false.'}
Toggle to turn on the LUNA model, to effect Photosynthesis by leaf Nitrogen
LUNA operates on C3 and non-crop vegetation (see vcmax_opt for how other veg is handled)
LUNA: Leaf Utilization of Nitrogen for Assimilation
use_mexicocity clm_inparm physics logical ['.true.', '.false.']
Toggle for mexico city specific logic.
use_mxmat cnphenology physics logical ['.true.', '.false.'] .true.
Set to .false. in order to ignore crop PFT parameter for maximum growing season length (mxmat). Must be set to .false. when generate_crop_gdds is .true.
use_original_tillage_phases tillage_inparm physics logical ['.true.', '.false.'] .false.
Toggle to use original (Graham et al. 2021) tillage logic, with bug for seasons crossing into a new calendar year
use_snicar_frc clm_inparm physics logical ['.true.', '.false.'] .false.
Toggle to turn on calculation of SNow and Ice Aerosol Radiation model (SNICAR) albedo forcing diagnostics for each aerosol species
use_soil_moisture_streams clm_inparm physics logical ['.true.', '.false.'] .false.
Toggle to turn on use of input prescribed soil moisture streams rather than have CLM prognose it (EXPERIMENTAL)
use_SSRE clm_inparm physics logical ['.true.', '.false.']
Toggle to turn on on diagnostic Snow Radiative Effect
use_vancouver clm_inparm physics logical ['.true.', '.false.']
Toggle for vancouver specific logic.
use_vichydro clm_inparm physics logical ['.true.', '.false.']
Toggle to turn on the VIC hydrologic parameterizations
(vichydro=".true." is EXPERIMENTAL, UNSUPPORTED!)
(deprecated -- will be removed)
vars_1dwt_w_time dynamic_subgrid physics logical ['.true.', '.false.'] is .true. for: {'do_transient_pfts': '.true.'}
is .true. for: {'do_transient_crops': '.true.'}
is .true. for: {'do_transient_lakes': '.true.'}
is .true. for: {'do_transient_urban': '.true.'}
.false.
A TRUE setting adds the time dimension to all 1dwt variables that appear in
files generated as a result of hist_dov2xy = .false. (e.g. pfts1d_wtcol).
Transient simulations (run_has_transient_landcover = .true.) have the same
outcome as vars_1dwt_w_time = .true..
Use this flag if you wish to change FALSE to TRUE when run_has_transient_landcover = .false..
zendersoilerod_mapalgo zendersoilerod physics char*256 ['bilinear', 'nn', 'redist', 'consd', 'consf', 'none'] bilinear
Option only applying for the Zender_2003 method for whether the soil erodibility file is handled
here in CTSM, or in the ATM model.
(only used when dust_emis_method is Zender_2003)
    bilinear = bilinear interpolation
    nn       = nearest neighbor
    redist   = Redistributes data from source mesh to destination mesh
    consd    = First-order conservative interpolation
    consf    = Same as consd with fraction area normalization
    none     = no interpolation
dtype domain_nl tools char*5 ['datm', 'docn']
Type of domain file to create (ocean or atmosphere) (only used for mkdatadomain)
f_domain domain_nl tools char*512 ['any char']
Full pathname of output domain dataset (only used for mkdatadomain).
f_fracdata domain_nl tools char*512 ['any char']
Full pathname of CLM fraction dataset (only used for mkdatadomain).
f_griddata domain_nl tools char*512 ['any char']
Full pathname of CLM grid dataset (only used for mkdatadomain).
faerdep clmexp tools char*512 ['any char']
Aerosol deposition file name (only used for aerdepregrid.ncl)
mkghg_bndtvghg clmexp tools char*512 ['any char']
Historical greenhouse gas concentrations from CAM, only used
by getco2_historical.ncl
Variable Namelist Group Category Entry Type Valid Values Possible Default Values Description and out-of-the-box Default