Spatial Modeling for Resources Framework (SMRF) was developed by Dr. Scott Havens at the USDA Agricultural Research Service (ARS) in Boise, ID. SMRF was designed to increase the flexibility of taking measured weather data and distributing the point measurements across a watershed. SMRF was developed to be used as an operational or research framework, where ease of use, efficiency, and ability to run in near real time are high priorities.

Read the full documentation for SMRF including up to date installation instructions.

To mount a data volume, so that you can share data between the local file system and the docker, the -v option must be used. For a more in depth discussion and tutorial, read https://docs.docker.com/engine/userguide/containers/dockervolumes/. The container has a shared data volume at /data where the container can access the local file system.

When the image is ran, it will go into the Python terminal within the image. Within this terminal, SMRF can be imported. The command /bin/bash can be appended to the end of docker run to enter into the docker terminal for full control. It will start in the /data location with SMRF code in /code/smrf.

For Linux docker run -v <path>:/data -it usdaarsnwrc/smrf [/bin/bash]

For MacOSX: docker run -v /Users/<path>:/data -it usdaarsnwrc/smrf [/bin/bash]

For Windows: docker run -v /c/Users/<path>:/data -it usdaarsnwrc/smrf [/bin/bash]

docker run -it usdaarsnwrc/smrf /bin/bash
cd /code/smrf
gen_maxus --out_maxus test_data/topo/maxus.nc test_data/topo/dem.ipw
run_smrf.py test_data/testConfig.ini

The output netCDF files will be placed in the /code/smrf/test_data/output location.