Metview is ECMWF’s workstation software for interactive and batch processing and plotting of meteorological data from various sources. In addition to its graphical user interface, Metview has a powerful bespoke Macro language for the scripting of tasks and batch processing of data. The language is already very similar to Python and the aim is to keep the interface the same as possible to ease the migration of existing users.
As Metview was started, back in 1990, many of its core concepts had to be implemented from scratch. The move to Python will provide the benefits of the Python ecosystem, which offers many packages that can be built on top of. Of particular interest are certain well-established packages such as NumPy, Pandas and xarray. These choices will also hopefully enable ECMWF's software to work/interact with other Python frameworks from the meteorological and climatological communities. One project to work closely together with is the Copernicus Climate Data Store, which is developing a Python based toolbox. Both these developments will share code and will ensure full compatibility.
This talk will introduce the project to design and implement a Python framework where Metview can be part of a larger toolchain, combining its strengths with those of other scientific packages available in Python.