A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.
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What's New
===========
Releases
-------------
v1.0.4
^^^^^^^^^^^^^^
- Release 1.0.4
- Fix warnings with CI tests which were caused by fill values being written
as NaN to the NetCDF result file.
- Added the __eq__ operator to the WrfProj projection base class.
- Fixed array order issue when using the raw CAPE routine with 1D arrays.
v1.0.3
^^^^^^^^^^^^^^
- Relase 1.0.3
- Fixed an issue with the cartopy Mercator subclass where the xlimits were
being calculated to the same value (or very close), causing blank plots.
v1.0.2
^^^^^^^^^^^^^^
- Release 1.0.2
- Fixed issue with the wspd_wdir product types when sequences of files are
used.
v1.0.1
^^^^^^^^^^^^^
- Release 1.0.1
- Fixed issue with initialization of PolarStereographic and LatLon map
projection objects.
- Fixed issue where XTIME could be included in the coordinate list of a
variable, but the actual XTIME variable could be missing. NCL allows this,
so wrf-python should as well.
v1.0.0
^^^^^^^^^^^^^
- Release 1.0.0.
- Fixed issue with not being able to set the thread-local coordinate cache to
0 to disable it. Also, the cache will now correctly resize itself when
the size is reduced to less than its current setting.
- Fixed an issue with the '0000-00-00 00:00:00' time used in geo_em files
causing crashes due to the invalid time. The time is now set to
numpy.datetime64('NaT').
- Fixed issue with wrf.cape_3d not working correctly with a single
column of data.
Beta Releases
--------------
v1.0b3
^^^^^^^^^^^^^
- Beta release 3.
- Improvements made for conda-forge integration testing.
- Fixed an incorrectly initialized variable issue with vinterp. This issue
mainly impacts the unit tests for continuous integration testing with
conda-forge, since the data set used for these tests is heavily cropped.
- Back-ported the inspect.BoundArguments.apply_defaults so that Python 3.4
works. Windows users that want to try out wrf-python with Python 3.4
can use the bladwig conda channel to get it.
v1.0b2
^^^^^^^^^^^^^^
- Beta release 2.
- xarray 0.9 no longer includes default index dimensions in the coordinate
mappings. This was causing a crash in the routines that cause a reduction
in dimension shape, mainly the interpolation routines. This has been
fixed.
- Documentation updated to show the new output from xarray.
v1.0b1
^^^^^^^^^^^^^
- Beta release 1.
- Added more packaging boilerplate.
- Note: Currently unable to build with Python 3.5 on Windows, due to
issues with distutils, numpy distutils, and mingw compiler. Will attempt
to find a workaround before the next release. Windows users should use
Python 2.7 or Python 3.4 for now.
----------------
Alpha Releases
----------------
v1.0a3
^^^^^^^^^^^^
- Alpha release 3.
- Added docstrings.
- The mapping API has changed.
- The projection attributes are no longer arrays for moving domains.
- Utility functions have been added for extracting geobounds. It is now
easier to get map projection objects from sliced variables.
- Utility functions have been added for getting cartopy, basemap, and pyngl
objects.
- Users should no longer need to use xarray attributes directly
- Now uses CoordPair for cross sections so that lat/lon can be used instead of
raw x,y grid coordinates.
- Renamed npvalues to to_np which is more intuitive.
- Fixed issue with generator expressions.
- Renamed some functions and arguments.
-------------
Known Issues
--------------
v1.0.0
^^^^^^^^
- Currently unable to build on Windows with Python 3.5+ using open source
mingw compiler. The mingwpy project is working on resolving the
incompatibilities between mingw and Visual Studio 2015 that was used to
build Python 3.5+. Numpy 1.13 also has improved f2py support for
Python 3.5+ on Windows, so this will be revisited when it is released.