# ---- Choose land model version
#    Icarus  : Current DEFAULT for the Icarus AGCM (Scientifically close to MERRA-2)
#    V24_C05 : DEFAULT for GEOSldas_m4-17_0
#    NRv7.2  : Current DEFAULT beginning with GEOSldas_m4-17_6
#
# LAND_PARAMS: NRv7.2

# ---- Surface layer turbulence scheme:
#    0 : Louis                  (MERRA, Fortuna-DAS, SMAP NRv4/4.1/5/7.2)
#    1 : Helfand Monin-Obukhov  (Fortuna-AR5, Ganymed, Heracles, Icarus-3_2, MERRA-2)
#
# CHOOSEMOSFC: 0

# ---- Formulation for turbulent roughness length (Z0):
#    0 : Fortuna,      SMAP NRv3
#    1 : Ganymed-4_1,  SMAP NRv4/NRv4.1
#    2 : Heracles-4_3, Icarus (AGCM default)
#    3 :               SMAP NRv5/NRv7.2
#    4 : JP testing
Z0_FORMULATION: 4
IGNORE_VEG_HEIGHTS: 1

# ---- ASCAT-derived roughness length:
#    0 : Default - do not use ASCAT information.
#    1 : Replace model roughness length with ASCAT Z0 where climatological NDVI<0.2.
#
# USE_ASCATZ0: 0

# ---- Prescribe interannually varying MODIS V006  LAI, VISDF, and NIRDF
#    0 : DEFAULT climatologies in BCSDIR are used
#    1 : prescribe interannually varying  MCD43GF.006 LAI and MCD43GF.006 VISDF and NIRDF albedo
#
# MODIS_DVG: 0

#--------------------------------------------------------#
#           Aerosol Depositions on surface snow          #
#--------------------------------------------------------#

# ---- Aerosol deposition on snow (available only with MERRA-2 forcings):
#    0 : DEFAULT, ALL GOCART Aerosol are NOT used
#    1 : use all GOCART aerosol data 
#    2 : GOCART DUST is NOT used
#    3 : GOCART Black Carbon is NOT used
#    4 : GOCART Organic Carbon is NOT used
#
# AEROSOL_DEPOSITION: 0

# ---- Number of constituents for GOSWIM (the GOddard SnoW Impurity Module)
# Note 2 separate parameters for LAND and LANDICE
#    0 : Default, GOSWIM snow albedo scheme is turned OFF for land
#    9 : GOSWIM snow albedo scheme is turned ON for land
#
# N_CONST_LAND4SNWALB: 0
# N_CONST_LANDICE4SNWALB: 0 

#--------------------------------------------------------#
#                       Irrigation Model                 #
#--------------------------------------------------------#

# ---- Run the irrigation model :
#    0 : Default - NO Do not run the irrigation model
#    1 : YES run the irrigation model
#
# RUN_IRRIG: 0

# ---- irrigation model method :
#    0 : Default - Sprinkler and Flood irrigation combined
#    1 : sprinkler irrigation only
#    2 : flood irrigation only
#
# IRRIG_METHOD: 0

#--------------------------------------------------------#
#                   River Routing Model                  #
#--------------------------------------------------------#

# ---- Run River Routing Model interactively 
#    0 : Default - NO
#    1 : YES
#
# RUN_ROUTE: 0

# ---- Time step for river routing
#
# RRM_DT: 3600 # 1-hourly

#--------------------------------------------------------#
#             CatchCN Model specific parameters          #
#--------------------------------------------------------#

# ---- Time step for carbon/nitrogen routines in CatchmentCN model (default 5400):
#      (Time step for water/energy routines is controlled by HEARTBEAT_DT in CAP.rc)
#
# DTCN: 5400

#  ---- Atmospheric CO2
# 0--use a fix value as defined by below CO2 (default=350.e-6)
# 1--NOAA CT tracker monthly mean diurnal cycle
# 2--NOAA CT tracker monthly mean diurnal cycle scaled to match EEA global average CO2
#    By default NOAA CT CO2 is scaled to the EEA global average CO2 linearly interpolated to the METFORCE year. 
#    For offline simulations : the default holds but with the below optional parameter CO2_YEAR, which permits user to 
#    set the beginning year of the atmospheric CO2 concentration of the simulation if it's earlier than the METFORCE year.
# 3--CMIP5 recommended annual average global mean concentrations from getco2.F90 (1765-2150)
# 4--import AGCM model CO2 (AGCM Only)
#
# ATM_CO2: 2
# CO2: 350.e-6
# CO2_YEAR:

# ---- Prescribe daily LAI and SAI data from an archived CATCHCN simulation 
# 0--NO Run CN Model interactively
# 1--YES Prescribe interannually varying LAI and SAI
# 2--YES Prescribe climatological LAI and SAI
# 3--Estimated LAI/SAI using anomalies at the beginning of the foeecast and climatological LAI/SAI
# 4--Write LAI/SAI anomalies in catchcn_internal_rst for above option 3
#
# PRESCRIBE_DVG: 0

# ---- Scale CATCHCN ALBEDO and FPAR
# 0--NO
# 1-- Scale albedo to match interannually varying MODIS NIRDF and VISDF anomaly
# 2-- Scale albedo to match interannually varying MODIS NIRDF and VISDF plus FPAR to match MODIS FPAR CDF 
#
# SCALE_ALBFPAR: 0