- Sample data (can be downloaded here)
- A python environment with GDAL installed
User may either specify directly input_data_dir in which inputs must be organized as in the sample data:
python wind_erosion.py --sl_output_suffix=firstrun --input_data_dir=../Data/Inputs --data_dir=../Data
or specify each input path individually:
python ../wind_erosion.py --data_dir=../test_out2 --dem_dir=../Inputs --dem_file_name=dem_aoi.tif --temper_dir=../Inputs/temperature_degC/ --temper_prefix=wc2.0_30s_tave_ --precip_dir=../Inputs/precipitation_mm/ --precip_prefix=wc2.0_30s_prec_ --sol_dir=../Inputs/solar_radiation/ --sol_prefix=shortwave_radiation_ --prcp_days_dir=../Inputs/month_prcp_day/ --prcp_days_prefix=prcp_day_ --snow_dir=../Inputs/snow_gm2/ --snow_prefix=snow_ --wind_speed_dir=../Inputs/wind_speed_monthly_clipped/ --wind_speed_prefix=wind_speed_ --sand_dir=../Inputs/soil/ --sand_file_name=sand.tif --silt_dir=../Inputs/soil/ --silt_file_name=silt.tif --clay_dir=../Inputs/soil/ --clay_file_name=clay.tif --som_dir=../Inputs/soil/ --som_file_name=soil_organic_matter_gm2.tif --fvc_dir=../Inputs/vegetation_percent_cover/ --fvc_prefix=vegetation_percent_cover_
* Inputs/temperature_degC/wc2.0_30s_tave_<n>.tif: monthly average temperature in deg C
* Inputs/precipitation_mm/wc2.0_30s_prec_<n>.tif: monthly total precipitation in mm
* Inputs/solar_radiation/shortwave_radiation_<n>.tif: monthly solar radiation in MJ/m^2
* Inputs/month_prcp_day/prcp_day_<n>.tif: monthly number of rain days
* Inputs/snow_gm2/snow_<n>.tif: monthly snow cover factor (probability)
* Inputs/wind_speed_monthly_clipped/wind_speed_<n>.tif: monthly average wind speed in m/s
* Inputs/vegetation_percent_cover/vegetation_percent_cover_<n>.tif: monthly fractional vegetation coverage in %
* Inputs/soil/sand.tif : non-temporal sand ratio (filename is a TIF file including extension)
* Inputs/soil/silt.tif : non-temporal silt ratio (filename is a TIF file including extension)
* Inputs/soil/clay.tif : non-temporal clay ratio (filename is a TIF file including extension)
* Inputs/soil/soil_organic_matter_gm2.tif : non-temporal organic matter ratio, data expected to be percentage*100 (filename is a TIF file including extension)
where n is is a month index from 1 to 12.
* Output/SL_actual_<n>.tif: monthly Soil Loss in kg/m^2
* Output/SL_actual.tif: Annual Soil Loss in kg/m^2
where n is is a month index from 1 to 12
* model_intermediate/WF/wf_<n>.tif: monthly Weather Factor in kg/m
* model_intermediate/KK/KK_<n>.tif: monthly Surface Terrain Roughness unitless
* model_intermediate/COG/COG_<n>.tif: monthly Vegeation Factor unitless
* model_intermediate/EF.tif: Erodible Fraction unitless
* model_intermediate/SCF.tif: Soil Crusting Factor unitless
where n is is a month index from 1 to 12
Seconds.
