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A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.
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Tag: 1.0b3
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Bill Ladwig 7de64141e3
Created 1.0b3 tag. 		8 years ago
conda_recipe Created 1.0b3 tag. 8 years ago
doc Updated documentation 8 years ago
fortran Fix issue with vinterp and heavily cropped datasets in the vertical. Added continuous integration tests for conda-forge. Changed some documentation wording. 8 years ago
src/wrf Backported the apply_defaults method for BoundArguments so that Python 3.4 works. 8 years ago
test Fix issue with vinterp and heavily cropped datasets in the vertical. Added continuous integration tests for conda-forge. Changed some documentation wording. 8 years ago
.gitignore Fix documentation typos. Updated API outlines. Fixed an issue with a computation routine name conflict. 9 years ago
LICENSE Documentation updates. Added more packaging boilerplate. Updated version to 1.0b. 8 years ago
MANIFEST.in Saving recipes that are mostly working with conda-forge. Fixed warnings with MANIFEST.in 8 years ago
README.md Added fix for issues from xarray 0.9, which was caused by xarray no longer including default dimensions in to coordinate mappings. Updated documentation and notebooks. Modified documentation URL in setup. Dropping requirement for numpy 1.9 8 years ago
requirements.txt Added fix for issues from xarray 0.9, which was caused by xarray no longer including default dimensions in to coordinate mappings. Updated documentation and notebooks. Modified documentation URL in setup. Dropping requirement for numpy 1.9 8 years ago
setup.py Moved latest release information to top of new.rst. Fixed documentation URL in setup.py 8 years ago

README.md

wrf-python

A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.

This package provides over 30 diagnostic calculations, several interpolation routines, and utilities to help with plotting via cartopy, basemap, or PyNGL. The functionality is similar to what is provided by the NCL WRF package.

Installation via conda:

conda install -c conda-forge wrf-python

Documentation is available at:

http://wrf-python.rtfd.org