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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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Bill Ladwig 96cbce8d82
Documentation update 3. Fixed some typos and formatting issues. 		8 years ago
conda_recipe Updated meta.yaml 8 years ago
doc Added the destaggering function to the user API 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 Fixed formatting issues and typos with vertcros and interpline, and fixed some bogus references in some computation routines. 8 years ago
test Notebook updates 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 has_time_coord function should be for a single file only. Updated setup.py to reflect show production status. Set version to 1.0.0. 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