gridded

A single API for accessing / working with gridded model results on multiple grid types.   The goal of this packge is to present a single way to work with restuls from ANY model -- regardless of what type of grid it was computed on. IN particular:

• Regular structured Grids ([CF Conventions](http://cfconventions.org/)), with API embedded in [Iris](http://scitools.org.uk/iris/) and to some degree in [Xray](https://github.com/xray/xray)
• Unstructured Grids (CF + [UGRID Conventions](https://github.com/ugrid-conventions/ugrid-conventions/blob/master/README.md)), with nascent API in [pyugrid](https://github.com/pyugrid/pyugrid)
• Staggered Grids (CF + [SGRID Conventions](https://publicwiki.deltares.nl/display/NETCDF/Deltares+proposal+for+Staggered+Grid+data+model)) with nascent API in [pysgrid](https://github.com/sgrid/pysgrid)

Gridded has been developed because a number of us need to work with multiple model types, and have found ourselves writing a lot of custom code for each type. In particular, intercomparison of results is an ugly process. To preserve the integrity of the results, it's best to NOT interpolate on to a common grid. gridded lets one work with multiple model types with the same API, while preserving the native grid as much as possible.

Other solutions have (so far) built assumptions about the underlying grid type into the code and API, making it difficult to adapt to other grid types. Nevertheless, gridded hopes to lwear from the the fabulous work done by other packages, such as: Iris: http://scitools.org.uk/iris/ and Xray: https://github.com/xray/xray

https://github.com/NOAA-ORR-ERD/gridded