Configuration File Reference

The SMRF configuration file is described in detail below. This information is all based on the CoreConfig file stored under framework.

For configuration file syntax information please visit http://inicheck.readthedocs.io/en/latest/

topo

filename
A netCDF file containing all veg info and dem.
Default: None
Type: criticalfilename

gradient_method
Method to use for calculating the slope and aspect. gradient_d8 uses 3 by 3 finite difference window and gradient_d4 uses a two cell finite difference for x and y which mimics the IPW gradient function
Default: gradient_d8
Type: string
Options: gradient_d8 gradient_d4

northern_hemisphere
Boolean describing whether the model domain is in the northern hemisphere or not
Default: True
Type: bool

time

end_date
Date and time to end the data distribution that can be parsed by pandas.to_datetime
Default: None
Type: datetimeorderedpair

start_date
Date and time to start the data distribution that can be parsed by pandas.to_datetime
Default: None
Type: datetimeorderedpair

time_step
Time interval that SMRF distributes data at in minutes
Default: 60
Type: int

time_zone
Time zone for all times provided and how the model will be run see pytz docs for information on what is accepted
Default: UTC
Type: string

csv

air_temp
Path to CSV containing the station measured air temperature
Default: None
Type: criticalfilename

cloud_factor
Path to CSV containing the station measured cloud factor
Default: None
Type: criticalfilename

metadata
Path to CSV containing the station metadata
Default: None
Type: criticalfilename

precip
Path to CSV containing the station measured precipitation
Default: None
Type: criticalfilename

stations
List of station IDs to use for distributing any of the variables
Default: None
Type: station

vapor_pressure
Path to CSV containing the station measured vapor pressure
Default: None
Type: criticalfilename

wind_direction
Path to CSV containing the station measured wind direction
Default: None
Type: criticalfilename

wind_speed
Path to CSV containing the station measured wind speed
Default: None
Type: criticalfilename

mysql

air_temp
name of the table column containing station air temperature
Default: air_temp
Type: string

cloud_factor
name of the table column containing station cloud factor
Default: cloud_factor
Type: string

data_table
name of the database table containing station data
Default: tbl_level2
Type: string

database
name of the database containing station data
Default: weather_db
Type: string

host
IP address to server.
Default: None
Type: string

metadata
name of the database table containing station metadata
Default: tbl_metadata
Type: string

password
password used for database login.
Default: None
Type: password

port
Port for MySQL database.
Default: 3606
Type: int

precip
name of the table column containing station precipitation
Default: precip_accum
Type: string

solar
name of the table column containing station solar radiation
Default: solar_radiation
Type: string

station_table
name of the database table containing client and source
Default: tbl_stations
Type: string

stations
List of station IDs to use for distributing any of the variables
Default: None
Type: station

user
username for database login.
Default: None
Type: string

vapor_pressure
name of the table column containing station vapor pressure
Default: vapor_pressure
Type: string

wind_direction
name of the table column containing station wind direction
Default: wind_direction
Type: string

wind_speed
name of the table column containing station wind speed
Default: wind_speed
Type: string

gridded

data_type
Type of gridded input data
Default: hrrr_netcdf
Type: string
Options: wrf hrrr_grib netcdf hrrr_netcdf

hrrr_directory
Path to the top level directory where multiple HRRR gridded dataset are located
Default: None
Type: criticaldirectory

hrrr_forecast_flag
True if the HRRR data is a forecast
Default: False
Type: bool

netcdf_file
Path to the netCDF file containing weather data
Default: None
Type: criticalfilename

wrf_file
Path to the netCDF file containing WRF data
Default: None
Type: criticalfilename

air_temp

The air_temp section controls all the available parameters that effect the distribution of the air_temp module, espcially the associated models. For more detailed information please see smrf.distribute.air_temp

detrend
Whether to elevationally detrend prior to distributing
Default: true
Type: bool

detrend_slope
If detrend is true constrain the detrend_slope to positive (1) or negative (-1) or no constraint (0)
Default: -1
Type: int
Options: -1 0 1

distribution
Distribution method to use for <this variable>. Stations use dk idw or kriging. Gridded data use grid. Stations use dk idw or kriging. Gridded data use grid.
Default: idw
Type: string
Options: dk idw grid kriging

dk_ncores
Number of threads or processors to use in the dk calculation
Default: 1
Type: int

grid_local
Use local elevation gradients in gridded interpolation
Default: False
Type: bool

grid_local_n
number of closest grid cells to use for calculating elevation gradient
Default: 25
Type: int

grid_mask
Mask the distribution calculations
Default: True
Type: bool

grid_method
Gridded interpolation method to use for air temperature
Default: cubic
Type: string
Options: nearest linear cubic

idw_power
Power for decay of a stations influence in inverse distance weighting.
Default: 2.0
Type: float

krig_anisotropy_angle
CCW angle (in degrees) by which to rotate coordinate system in order to take into account anisotropy.
Default: 0.0
Type: float

krig_anisotropy_scaling
Scalar stretching value for kriging to take into account anisotropy.
Default: 1.0
Type: float

krig_coordinates_type
Determines if the x and y coordinates are interpreted as on a plane (euclidean) or as coordinates on a sphere (geographic).
Default: euclidean
Type: string
Options: euclidean geographic

krig_nlags
Number of averaging bins for the kriging semivariogram
Default: 6
Type: int

krig_variogram_model
Specifies which kriging variogram model to use
Default: linear
Type: string
Options: linear power gaussian spherical exponential hole-effect

krig_weight
Flag that specifies if the kriging semivariance at smaller lags should be weighted more heavily when automatically calculating variogram model.
Default: False
Type: bool

max
Maximum possible value for air temperature in Celsius
Default: 47.0
Type: float

min
Minimum possible value for air temperature in Celsius
Default: -73.0
Type: float

stations
Stations to use for distributing air temperature
Default: None
Type: station

vapor_pressure

The vapor_pressure section controls all the available parameters that effect the distribution of the vapor_pressure module, espcially the associated models. For more detailed information please see smrf.distribute.vapor_pressure

detrend
Whether to elevationally detrend prior to distributing
Default: true
Type: bool

detrend_slope
If detrend is true constrain the slope to positive (1) or negative (-1) or no constraint (0)
Default: -1
Type: int
Options: -1 0 1

dew_point_nthreads
Number of threads to use in the dew point calculation
Default: 2
Type: int

dew_point_tolerance
Solving criteria for the dew point calculation
Default: 0.01
Type: float

distribution
Distribution method to use for vapor pressure. Stations use dk idw or kriging. Gridded data use grid.
Default: idw
Type: string
Options: dk idw grid kriging

dk_ncores
Number of threads to use in the dk calculation
Default: 1
Type: int

grid_local
Use local elevation gradients in gridded interpolation
Default: False
Type: bool

grid_local_n
number of closest grid cells to use for calculating elevation gradient
Default: 25
Type: int

grid_mask
Mask the distribution calculations
Default: True
Type: bool

grid_method
interpolation method to use for this variable
Default: cubic
Type: string
Options: nearest linear cubic

idw_power
Power for decay of a stations influence in inverse distance weighting
Default: 2.0
Type: float

krig_anisotropy_angle
CCW angle (in degrees) by which to rotate coordinate system in order to take into account anisotropy.
Default: 0.0
Type: float

krig_anisotropy_scaling
Scalar stretching value for kriging to take into account anisotropy.
Default: 1.0
Type: float

krig_coordinates_type
Determines if the x and y coordinates are interpreted as on a plane (euclidean) or as coordinates on a sphere (geographic).
Default: euclidean
Type: string
Options: euclidean geographic

krig_nlags
Number of averaging bins for the kriging semivariogram
Default: 6
Type: int

krig_variogram_model
Specifies which kriging variogram model to use
Default: linear
Type: string
Options: linear power gaussian spherical exponential hole-effect

krig_weight
Flag that specifies if the kriging semivariance at smaller lags should be weighted more heavily when automatically calculating variogram model.
Default: False
Type: bool

max
Maximum possible vapor pressure in Pascals
Default: 5000.0
Type: float

min
Minimum possible vapor pressure in Pascals
Default: 20.0
Type: float

stations
Stations to use for distributing vapor pressure in Pascals
Default: None
Type: station

wind

The wind section controls all the available parameters that effect the distribution of the wind module, espcially the associated models. For more detailed information please see smrf.distribute.wind

detrend
Whether to elevationally detrend prior to distributing
Default: False
Type: bool

detrend_slope
if detrend is true constrain the detrend_slope to positive (1) or negative (-1) or no constraint (0)
Default: 1
Type: int
Options: -1 0 1

distribution
Distribution method to use for wind. Stations use dk idw or kriging. Gridded data use grid.
Default: idw
Type: string
Options: dk idw grid kriging

dk_ncores
Number of threads to use in the dk calculation
Default: 2
Type: int

grid_local
Use local elevation gradients in gridded interpolation
Default: False
Type: bool

grid_local_n
Number of closest grid cells to use for calculating elevation gradient
Default: 25
Type: int

grid_mask
Mask the distribution calculations
Default: True
Type: bool

grid_method
interpolation method to use for wind
Default: linear
Type: string
Options: nearest linear cubic

idw_power
Power for decay of a stations influence in inverse distance weighting
Default: 2.0
Type: float

krig_anisotropy_angle
CCW angle (in degrees) by which to rotate coordinate system in order to take into account anisotropy.
Default: 0.0
Type: float

krig_anisotropy_scaling
Scalar stretching value for kriging to take into account anisotropy.
Default: 1.0
Type: float

krig_coordinates_type
Determines if the x and y coordinates are interpreted as on a plane (euclidean) or as coordinates on a sphere (geographic).
Default: euclidean
Type: string
Options: euclidean geographic

krig_nlags
Number of averaging bins for the kriging semivariogram
Default: 6
Type: int

krig_variogram_model
Specifies which kriging variogram model to use
Default: linear
Type: string
Options: linear power gaussian spherical exponential hole-effect

krig_weight
Flag that specifies if the kriging semivariance at smaller lags should be weighted more heavily when automatically calculating variogram model.
Default: False
Type: bool

max
Maximum possible wind in M/s
Default: 35.0
Type: float

maxus_netcdf
NetCDF file containing the maxus values for wind
Default: None
Type: criticalfilename

min
Minimum possible for wind in M/s
Default: 0.447
Type: float

reduction_factor
If wind speeds are still off here is a scaling factor
Default: 1.0
Type: float

station_default
Account for sheltered station wind measurements for example 11.4 equates to a small forest opening and 0 equates to unsheltered measurements.
Default: 11.4
Type: float

station_peak
Name of stations that lie on a peak or a high point
Default: None
Type: station

stations
Stations to use for distributing wind in M/s
Default: None
Type: station

veg_3011
Applies the value where vegetation equals 3011(Rocky Mountain aspen)
Default: 3.3
Type: float

veg_3061
Applies the value where vegetation equals 3061(mixed aspen)
Default: 3.3
Type: float

veg_41
Applies the value where vegetation type equals NLCD class 41
Default: 3.3
Type: float

veg_42
Applies the value where vegetation type equals NLCD class 42
Default: 3.3
Type: float

veg_43
Applies the value where vegetation type equals NLCD class 43
Default: 11.4
Type: float

veg_default
Applies the value to all vegetation not specified
Default: 0.0
Type: float

wind_model
Wind model to interpolate wind measurements to the model domain
Default: winstral
Type: string
Options: winstral wind_ninja interp

wind_ninja_dir
Location in which the ascii files are output from the WindNinja simulation. This serves as a trigger for checking for WindNinja files.
Default: None
Type: criticaldirectory

wind_ninja_dxdy
grid spacing at which the WindNinja ascii files are output.
Default: 100
Type: int

wind_ninja_height
The output height of wind fields from WindNinja in meters.
Default: 5.0
Type: string

wind_ninja_pref
Prefix of all outputs from WindNinja that matches the topo input to WindNinja.
Default: None
Type: string

wind_ninja_roughness
The surface roughness used in WindNinja generally grass.
Default: 0.01
Type: string

wind_ninja_tz
Time zone that from the WindNinja config.
Default: UTC
Type: string

precip

The precipitation section controls all the available parameters that effect the distribution of the precipitation module, espcially the associated models. For more detailed information please see smrf.distribute.precipitation

detrend
Whether to elevationally detrend prior to distributing
Default: true
Type: bool

detrend_slope
if detrend is true constrain the detrend_slope to positive (1) or negative (-1) or no constraint (0)
Default: 1
Type: int
Options: -1 0 1

distribution
Distribution method to use for precipitation. Stations use dk idw or kriging. Gridded data use grid.
Default: dk
Type: string
Options: dk idw grid kriging

dk_ncores
Number of threads to use in the dk calculation
Default: 2
Type: int

grid_local
Use local elevation gradients in gridded interpolation
Default: False
Type: bool

grid_local_n
number of closest grid cells to use for calculating elevation gradient
Default: 25
Type: int

grid_mask
Mask the distribution calculations
Default: True
Type: bool

grid_method
interpolation method to use for precipitation
Default: cubic
Type: string
Options: nearest linear cubic

idw_power
Power for decay of a stations influence in inverse distance weighting
Default: 2.0
Type: float

krig_anisotropy_angle
CCW angle (in degrees) by which to rotate coordinate system in order to take into account anisotropy.
Default: 0.0
Type: float

krig_anisotropy_scaling
Scalar stretching value for kriging to take into account anisotropy.
Default: 1.0
Type: float

krig_coordinates_type
Determines if the x and y coordinates are interpreted as on a plane (euclidean) or as coordinates on a sphere (geographic).
Default: euclidean
Type: string
Options: euclidean geographic

krig_nlags
Number of averaging bins for the kriging semivariogram
Default: 6
Type: int

krig_variogram_model
Specifies which kriging variogram model to use
Default: linear
Type: string
Options: linear power gaussian spherical exponential hole-effect

krig_weight
Flag that specifies if the kriging semivariance at smaller lags should be weighted more heavily when automatically calculating variogram model.
Default: False
Type: bool

marks2017_timesteps_to_end_storms
number of timesteps to elapse with precip under start criteria before ending a storm.
Default: 6
Type: int

max
Maximum possible precipitation in millimeters
Default: None
Type: float

min
Minimum possible for precipitation in millimeters
Default: 0.0
Type: float

new_snow_density_model
Method to use for calculating the new snow density
Default: susong1999
Type: string
Options: marks2017 susong1999 piecewise_susong1999

precip_rescaling_model
Method to use for redistributing precipitation. Winstrals method focuses forming drifts from wind
Default: None
Type: string
Options: winstral

precip_temp_method
which variable to use for precip temperature
Default: dew_point
Type: string
Options: dew_point wet_bulb

station_adjust_for_undercatch
Apply undercatch relationships to precip gauges
Default: true
Type: bool

station_undercatch_model_default
WMO model used to adjust for undercatch of precipitaiton
Default: us_nws_8_shielded
Type: string
Options: us_nws_8_shielded us_nws_8_unshielded

stations
Stations to use for distributing this precipitation
Default: None
Type: station

storm_days_restart
Path to netcdf representing the last storm days so a run can continue in between stops
Default: None
Type: discretionarycriticalfilename

storm_mass_threshold
Start criteria for a storm in mm of measured precipitation in millimeters in any pixel over the domain.
Default: 1.0
Type: float

susong1999_timesteps_to_end_storms
number of timesteps to elapse with precip under start criteria before ending a storm.
Default: 6
Type: int

winstral_max_drift
max multiplier for precip redistribution in a drift cell
Default: 3.5
Type: float

winstral_max_scour
max multiplier for precip redistribution to account for wind scour.
Default: 1.0
Type: float

winstral_min_drift
min multiplier for precip redistribution in a drift cell
Default: 1.0
Type: float

winstral_min_scour
minimum multiplier for precip redistribution to account for wind scour.
Default: 0.55
Type: float

winstral_tbreak_netcdf
NetCDF file containing the tbreak values for wind
Default: None
Type: filename

winstral_tbreak_threshold
Threshold for drift cells measured in degrees from tbreak file.
Default: 7.0
Type: float

winstral_veg_3011
Interference inverse factor for precip redistribution where vegetation equals 3011(Rocky Mountain Aspen).
Default: 0.7
Type: float

winstral_veg_3061
Interference inverse factor for precip redistribution where vegetation equals 3061(Mixed Aspen).
Default: 0.7
Type: float

winstral_veg_41
Interference inverse factor for precip redistribution where vegetation equals 41.
Default: 0.7
Type: float

winstral_veg_42
Interference inverse factor for precip redistribution where vegetation equals 42.
Default: 0.7
Type: float

winstral_veg_43
Interference inverse factor for precip redistribution where vegetation equals 43.
Default: 0.7
Type: float

winstral_veg_default
Applies the value to all vegetation not specified
Default: 1.0
Type: float

albedo

The albedo section controls all the available parameters that effect the distribution of the albedo module, espcially the associated models. For more detailed information please see smrf.distribute.albedo

date_method_decay_power
Exponent value of the decay rate equation prescribed by the method.
Default: 0.714
Type: float

date_method_end_decay
Starting date for applying the decay method described by date_method
Default: None
Type: datetimeorderedpair

date_method_start_decay
Starting date for applying the decay method described by date_method
Default: None
Type: datetimeorderedpair

date_method_veg_41
Applies the value where vegetation equals 41
Default: 0.36
Type: float

date_method_veg_42
Applies the value where vegetation equals 42
Default: 0.36
Type: float

date_method_veg_43
Applies the value where vegetation equals 43
Default: 0.25
Type: float

date_method_veg_default
Applies the value to all vegetation not specified
Default: 0.25
Type: float

decay_method
Describe how the albedo decays in the late season
Default: None
Type: string
Options: * hardy2000 date_method none*

dirt
Effective contamination for adjustment to visible albedo (usually between 1.5-3.0)
Default: 2.0
Type: float

grain_size
Effective optical grain radius of snow after last storm in micro-meters
Default: 100.0
Type: float

grid_mask
Mask the distribution calculations
Default: True
Type: bool

hardy2000_litter_albedo
Albedo of the litter on the snow using the hard method
Default: 0.2
Type: float

hardy2000_litter_default
Litter rate for places where vegetation not specified for Hardy et al. 2000 decay method
Default: 0.003
Type: float

hardy2000_litter_veg_41
Litter rate for places where vegetation not specified for Hardy et al. 2000 decay method for vegetation classes NLCD 41
Default: 0.006
Type: float

hardy2000_litter_veg_42
Litter rate for places where vegetation not specified for Hardy et al. 2000 decay method for vegetation classes NLCD 42
Default: 0.006
Type: float

hardy2000_litter_veg_43
Litter rate for places where vegetation not specified for Hardy et al. 2000 decay method for vegetation classes NLCD 43
Default: 0.003
Type: float

max
Maximum possible for albedo
Default: 1.0
Type: float

max_grain
Max optical grain radius of snow possible in micro-meters
Default: 700.0
Type: float

min
Minimum possible for albedo
Default: 0.0
Type: float

cloud_factor

The cloud_factor section controls all the available parameters that effect the distribution of the cloud_factor module, espcially the associated models. For more detailed information please see smrf.distribute.cloud_factor

detrend
Whether to elevationally detrend prior to distributing
Default: false
Type: bool

detrend_slope
If detrend is true constrain the detrend_slope to positive (1) or negative (-1) or no constraint (0)
Default: 0
Type: int
Options: -1 0 1

distribution
Distribution method to use for cloud factor. Stations use dk idw or kriging. Gridded data use grid. Stations use dk idw or kriging. Gridded data use grid.
Default: idw
Type: string
Options: dk idw grid kriging

dk_ncores
Number of threads or processors to use in the dk calculation
Default: 1
Type: int

grid_local
Use local elevation gradients in gridded interpolation
Default: False
Type: bool

grid_local_n
number of closest grid cells to use for calculating elevation gradient
Default: 25
Type: int

grid_mask
Mask the distribution calculations
Default: True
Type: bool

grid_method
Gridded interpolation method to use for cloud factor
Default: cubic
Type: string
Options: nearest linear cubic

idw_power
Power for decay of a stations influence in inverse distance weighting.
Default: 2.0
Type: float

krig_anisotropy_angle
CCW angle (in degrees) by which to rotate coordinate system in order to take into account anisotropy.
Default: 0.0
Type: float

krig_anisotropy_scaling
Scalar stretching value for kriging to take into account anisotropy.
Default: 1.0
Type: float

krig_coordinates_type
Determines if the x and y coordinates are interpreted as on a plane (euclidean) or as coordinates on a sphere (geographic).
Default: euclidean
Type: string
Options: euclidean geographic

krig_nlags
Number of averaging bins for the kriging semivariogram
Default: 6
Type: int

krig_variogram_model
Specifies which kriging variogram model to use
Default: linear
Type: string
Options: linear power gaussian spherical exponential hole-effect

krig_weight
Flag that specifies if the kriging semivariance at smaller lags should be weighted more heavily when automatically calculating variogram model.
Default: False
Type: bool

max
Max prossible cloud factor as a decimal representing full clouds (0) to full sun (1).
Default: 1.0
Type: float

min
Minimum possible cloud factor as a decimal representing full clouds (0) to full sun (1).
Default: 0.0
Type: float

stations
Stations to use for distributing cloud factor as a decimal representing full clouds (0) to full sun (1).
Default: None
Type: station

solar

The solar section controls all the available parameters that effect the distribution of the solar module, espcially the associated models. For more detailed information please see smrf.distribute.solar

clear_gamma
Scattering asymmetry parameter
Default: 0.3
Type: float

clear_omega
Single-scattering albedo
Default: 0.85
Type: float

clear_opt_depth
Elevation of optical depth measurement
Default: 100.0
Type: float

clear_tau
Optical depth at z
Default: 0.2
Type: float

correct_albedo
Multiply the solar radiation by 1-snow_albedo.
Default: true
Type: bool

correct_cloud
Multiply the solar radiation by the cloud factor derived by station data.
Default: true
Type: bool

correct_veg
Apply solar radiation corrections according to veg_type
Default: true
Type: bool

max
Maximum possible solar radiation in W/m^2
Default: 800.0
Type: float

min
Minimum possible solar radiation in W/m^2
Default: 0.0
Type: float

thermal

The thermal section controls all the available parameters that effect the distribution of the thermal module, espcially the associated models. For more detailed information please see smrf.distribute.thermal

clear_sky_method
Method for calculating the clear sky thermal radiation
Default: marks1979
Type: string
Options: marks1979 dilley1998 prata1996 angstrom1918

cloud_method
Method for adjusting thermal radiation due to cloud effects
Default: garen2005
Type: string
Options: garen2005 unsworth1975 kimball1982 crawford1999

correct_cloud
Specify whether to use the cloud adjustments in thermal calculation
Default: true
Type: bool

correct_terrain
Specify whether to account for vegetation in the thermal calculations
Default: true
Type: bool

correct_veg
Specify whether to account for vegetation in the thermal calculations
Default: true
Type: bool

detrend
Whether to elevationally the detrend prior to distributing
Default: False
Type: bool

detrend_slope
if detrend is true constrain the detrend_slope to positive (1) or negative (-1) or no constraint (0)
Default: 0
Type: int
Options: -1 0 1

distribution
Distribution method to use for incoming thermal when using HRRR input data.
Default: grid
Type: string
Options: grid

grid_local
Use local elevation gradients in gridded interpolation
Default: False
Type: bool

grid_local_n
number of closest grid cells to use for calculating elevation gradient
Default: 25
Type: int

grid_mask
Mask the thermal radiation calculations
Default: True
Type: bool

grid_method
interpolation method to use for this variable
Default: cubic
Type: string
Options: nearest linear cubic

marks1979_nthreads
Number of threads to use thermal radiation calcs when using Marks1979
Default: 2
Type: int

max
Maximum possible incoming thermal radiation in W/m^2
Default: 600.0
Type: float

min
Minimum possible incoming thermal radiation in W/m^2
Default: 0.0
Type: float

soil_temp

The soil_temp section controls all the available parameters that effect the distribution of the soil_temp module, espcially the associated models. For more detailed information please see smrf.distribute.soil_temp

temp
Constant value to use for the soil temperature.
Default: -2.5
Type: float

output

file_type
Format to use for outputting data.
Default: netcdf
Type: string
Options: netcdf

frequency
Number of timesteps between output values. 1 is every timestep.
Default: 1
Type: int

input_backup
Specify whether to backup the input data and create config file to run the smrf run from that backup
Default: true
Type: bool

mask_output
Mask the final NetCDF output.
Default: False
Type: bool

out_location
Directory to output results
Default: None
Type: directory

variables
Variables to output after being calculated.
Default: thermal air_temp vapor_pressure wind_speed wind_direction net_solar precip percent_snow snow_density precip_temp
Type: string
Options: all air_temp albedo_vis albedo_ir precip percent_snow snow_density storm_days precip_temp clear_ir_beam clear_ir_diffuse clear_vis_beam clear_vis_diffuse cloud_factor cloud_ir_beam cloud_ir_diffuse cloud_vis_beam cloud_vis_diffuse net_solar veg_ir_beam veg_ir_diffuse veg_vis_beam veg_vis_diffuse thermal vapor_pressure dew_point flatwind wind_speed wind_direction thermal_clear thermal_veg thermal_cloud

system

log_file
File path to a txt file for the log info to be outputted
Default: None
Type: filename

log_level
level of information to be logged
Default: debug
Type: string
Options: debug info error

qotw

Default: false
Type: bool

queue_max_values
How many timesteps that a calculation can get ahead while threading if it is independent of other variables.
Default: 2
Type: int

threading
Specify whether to use python threading in calculations.
Default: true
Type: bool

time_out
Amount of time to wait for a thread before timing out
Default: None
Type: float

Using Configuration Files Input Data