The UV-CDAT team is pleased to announce the release of UV-CDAT version 2.12

UV-CDAT is distributed via anaconda: conda create -n uvcdat-2.12 uvcdat -c conda-forge -c uvcdat Major changes in v2.12 New Analytics page

Ever wonder if you should answer yes or no at the "send anonympus usage report" question.

Well those who answer yes help us as seen here

Optimized vcs plotting

some internal object were never cleared lead to some memory leak faster mesalib implementation: newest version AND LLVM implementation

Major Changes

CDMS: esmpy bug fixes with masking CDMS: crosssection regridder now can handle gaussian grids with uneven number of latitude CDMS: netcdf4 files can be edited CDMS: Numpy 1.13 now supported VCS: cleared all object leaks VCS: streamlines are now evenly spaced by default VCS: convenience function to load all mpl colormaps VCS: getcolors return correct rgb values if string passed VCS: Faster implememtation of mesalib (NOX) Documentation: taylor diagram jupyter notebook Documentation: cdms 101 jupyter notebook

Changes/bug fixes since v2.10

Documentation Image/code galleries

Many thanks to users, testers, and developers for helping UV-CDAT to reach this milestone. This is a bug fix release, we have fixed several major and minor bugs in version 2.8 and therefore we strongly recommend users upgrade their UV-CDAT installation.