14. Related Projects¶
Given here is a limited selection of related projects that have been developed for climate problems or can deal with climate data.
Iris seeks to provide a powerful, easy to use, and community-driven Python library for analysing and visualising meteorological and oceanographic data sets.
With Iris you can:
- Use a single API to work on your data, irrespective of its original format.
- Read and write (CF-)netCDF, GRIB, and PP files.
- Easily produce graphs and maps via integration with
The Apache Open Climate Workbench is Python library for common model evaluation tasks as well as a flexible RESTful API, which allows integrating the capabilities of the toolkit into their workflow regardless of language and environment by performing HTTP requests.
The Grid Analysis and Display System, it is a desktop application which reads, manipulates, and visualizes gridded 4D data, provides a command line interface with a proprietary language and interfaces to Python, Perl, IDL, Matlab.
SNAP, the ESA platform for the Sentinel-1, -2, -3 Toolboxes, and SMOS-Box provide numerous specific readers for Earth Observation data and generic data processors (binning, reprojection, collocation, band-maths, etc) which can also be used for ESA CCI Data. A future extension of the CCI Toolbox will allow to use SNAP data readers and processors and therefore allow for interesting synergistic use of CCI data with Level-1 and Level-2 optical, microwave and SAR data.