Spatial Modeling for Resources Framework
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 filesystem and the docker, the
-v option must be used.
For a more in depth dicussion 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 filesystem.
When the image is ran, it will go into the Python terminal within the image. Within this terminal, SMRF can be imported. The
/bin/bash can be appended to the end of docker run to enter into the docker terminal for full control. It will start
/data location with SMRF code in
docker run -v <path>:/data -it scotthavens/smrf [/bin/bash]
docker run -v /Users/<path>:/data -it scotthavens/smrf [/bin/bash]
docker run -v /c/Users/<path>:/data -it scotthavens/smrf [/bin/bash]
Running the test
docker run -it scotthavens/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