qingu/wem

WRF Ensemble Management.

=== WEM

WRF Ensemble Management can help you create WRF ensembles from GEFS reanalysis data via submodule lazyWRF. It can also post-process the data (such as computing ensemble means, creating postage-stamp plots of all members, etc) via submodule postWRF.

Where do I start?

Documentation is here (incomplete): http://johnrobertlawson.github.io/WEM/

./lazyWRF/ contains scripts that form the basis of automating your WRF ensemble runs. ./postWRF/bin/ contains examples of post-processing that you may like to perform with the module. The other essential file you will need to personalise for post-processing is /bin/settings.py. The class therein contains all the settings for loading data, saving output, etc. Almost all settings can be left as default (by not specifying a setting), other than essentials like the path to your WRF data, the path to output figures, etc.

To run lazyWRF, the top-level script must be in your WPS folder to allow WPS executables to see the namelist.wps. So you might need to soft-link from your WPS directory to where you keep your top-level lazyWRF/WEM controlling scripts (e.g., ln -sf /path/to/WEM/scripts/ in your WPS folder). At least, I can't find a way around this.

Contributors & Attributions

Some files or methods contain attributions to other programmers whose code has been refactored to fit this project (or is/will become a prerequisite). In summary, thanks to:

SHARPpy

• Patrick Marsh
• John Hart

HootPy/PulsatrixWx project

URL: http://www.atmos.washington.edu/~lmadaus/pyscripts.html

• David-John Gagne
• Tim Supinie
• Luke Madaus

PyWRF project (Monash)

URL: http://code.google.com/p/pywrf/

URL: https://github.com/scaine1/pyWRF/

PyWRFPlot project

URL: https://code.google.com/p/pywrfplot/

• Geir Arne Waagbø