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It features a powerful icon-based user interface for interactive work, and a bespoke scripting language for batch processing. The two (Macro) and a Python interface for batch processing with integrated support for plots within Jupyter notebooks. These are linked through the ability to automatically convert icons into their equivalent script (Macro/Python) code.
Metview can take input data from a variety of sources, including:
- GRIB files (editions 1 and 2)
- BUFR files
- MARS (ECMWF's meteorological archive)
- ODB (Observation Database)
- Local databases
- ASCII data files (CSV, grids and scattered data)
- Geopoints (Metview's own format for handling scattered data)
- NetCDF
Powerful data filtering and processing facilities are then available, and if graphics output is desired, then Metview can produce many plot types, including:
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Metview can also interface with external models and applications, such as VAPOR, Met3D, FLEXTRA and FLEXPART.
Metview was developed as part of a cooperation between ECMWF and INPE/CPTEC (Brazilian National Institute for Space Research / Centre for Weather Forecasts and Climate Studies).
