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

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Tree: 1f731e8b25

develop

lon0

main

mercator_fix

pw_new_feature

1.0.0

1.0.1

1.0.1.1

1.0.1.2

1.0.1.3

1.0.1.4

1.0.2

1.0.2.1

1.0.2.2

1.0.2.3

1.0.2.4

1.0.3

1.0.4

1.0.5

1.0a1

1.0a2

1.0a3

1.0b1

1.0b2

1.0b3

1.1.0

1.1.1

1.1.2

1.1.3

1.1.3.1

1.1.3.2

1.2.0

1.2.0.1

1.2.0.2

1.3.0

1.3.0.1

1.3.0.2

1.3.1

1.3.1.1

1.3.2

1.3.2.1

1.3.2.2

1.3.2.3

1.3.2.4

1.3.2.5

1.3.2.6

1.3.3

WRF_Workshop_2016

boise_tutorial_beta1

demo_4_21_2016

prebeta.0.1

tutorial_backup_5_24_2016

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wrf-python/conda_recipe

History

Bill Ladwig 1f731e8b25 Added the jinja patch for 1.21 conda-build so it works with numpy distutils. Added code for the threadlocal caching. Added a cached test. Modified cloudfrac to match what has been committed to NCL. Modified the NCL test script to add cloud fraction.		9 years ago
..
build.sh	Added a conda recipe. Metadata cleanup for wind and interpolation. Wind algorithms now put the u_v dimension as left-most, like in NCL.	9 years ago
meta.yaml	Added the jinja patch for 1.21 conda-build so it works with numpy distutils. Added code for the threadlocal caching. Added a cached test. Modified cloudfrac to match what has been committed to NCL. Modified the NCL test script to add cloud fraction.	9 years ago