Modeling in the Next Generation.
This is an example of coupling a hydrology model that routes water across a landscape with the DSSAT crop model.
Install docker and docker-compose. To run dssat on a pile of weather station
files, symlink or move those files into ./data/incoming/ (they must sit directly within that folder, we don't
recursively search for WTH files).
In order to be processed, the generated weather station files are expected to be of the format USAM8031_<grid_id>.WTH
where grid_id is an integer between 1-99999 (5 digits max). We could easily support larger numbers by changing how we
update the dssat template.mzx file to generate a new MZX referencing the renamed WTH file. For more information on DSSAT
MZX files see the DSSAT User's Guide vol 3.
% docker-compose build --pull # build the ming Docker image
% docker-compose run --rm ming bash # to explore the Docker image
container> ./process.py /data/test
container> ./process.py /data/incoming
For brevity if you symlink or copy your files into ./data/incoming you can simply run docker-compose run --rm ming
and it should begin processing all the WTH files you placed in ./data/incoming. Results are stored in src/results at
the moment.
