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Python programs for running future climate scenarios in PRMS/GSFLOW, using downscaled data from the USGS-CIDA GeoDataPortal (GDP)

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joycezw/GSFLOW_climate_utils

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.idea

.idea

 
 

BEC_fill_in_climate

BEC_fill_in_climate

 
 

GDP

GDP

 
 

Postprocessing

Postprocessing

 
 

Preprocessing

Preprocessing

 
 

Run_scenarios

Run_scenarios

 
 

dust_bin

dust_bin

 
 

test

test

 
 

.gitignore

.gitignore

 
 

PRMSio.py

PRMSio.py

 
 

README.md

README.md

 
 

plot_statvar.py

plot_statvar.py

 
 

test.pdf

test.pdf

 
 

test.py

test.py

 
 

test_legend.py

test_legend.py

 
 

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Workflow for setting up GSFLOW input for multiple future climate scenarios:

  1. Get the data from the GDP, and then translate it to the relevant set of PRMS/GSFLOW input files (see GDP folder)

  2. Preprocess the tmin data to develop input files for transpiration. Write PRMS/GSFLOW control files for each future climate model run (i.e., a General Circulation Model (GCM) - future emissions scenario - time period combination; see Preprocessing folder)

  3. Setup a batch run (see Run_scenarios folder)

  4. Postprocess the output (Postprocessing folder)

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Python programs for running future climate scenarios in PRMS/GSFLOW, using downscaled data from the USGS-CIDA GeoDataPortal (GDP)

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