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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: 1.0.4
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Bill Ladwig 7445c6358c
Release 1.0.4 		8 years ago
conda_recipe Updated conda recipe 8 years ago
doc Updated release info 8 years ago
fortran Merge tag '1.0.2' into develop 8 years ago
hpc_install Updated hpc install scripts to match what is actually on yellowstone 8 years ago
src/wrf Update version number. 8 years ago
test Modified CI unit tests to remove the warnings. Added __eq__ operator for projection, Fixes #26 . 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 Fixed issue with the wspd_wdir diagnostic not working with sequences of data. Added WRF Workshop instructions for the upcoming tutorial. Made new fortran functions for wspd and wdir. Fixes #19, fixes #21, fixes #22, fixes #23. 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