Metview's documentation is now on readthedocs!
What is Metview

Metview is a meteorological workstation application designed to be a complete working environment for both the operational and research meteorologist. Its capabilities include powerful data access, processing and visualisation.

It features a powerful icon-based user interface for interactive work, a bespoke scripting language (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:

  • map views in various projections
  • cross sections
  • vertical profiles
  • x/y graph plots
  • intelligent overlay of data from various sources on the same map
  • arrangement of multiple plots on the same page

Metview can also interface with external models and applications, such as VAPORMet3DFLEXTRA and FLEXPART.

Metview was developed as part of a cooperation between ECMWF and INPE (Brazilian National Institute for Space Research).

  


Report a bug or issue

Please send an email to software.support@ecmwf.int or go to Issues if you have any suggestions for improvements or have discovered a bug with this software package

Search this space ...

 

Gallery

Download example code and data:

 

Jupyter Notebooks

Larger Python examples:


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What is Metview

Metview is a meteorological workstation application designed to be a complete working environment for both the operational and research meteorologist. Its capabilities include powerful data access, processing and visualisation.

It features a powerful icon-based user interface for interactive work, a bespoke scripting language (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:

  • map views in various projections
  • cross sections
  • vertical profiles
  • x/y graph plots
  • intelligent overlay of data from various sources on the same map
  • arrangement of multiple plots on the same page

Metview can also interface with external models and applications, such as VAPORMet3DFLEXTRA and FLEXPART.

Metview was developed as part of a cooperation between ECMWF and INPE (Brazilian National Institute for Space Research).

  


Report a bug or issue

Please send an email to software.support@ecmwf.int or go to Issues if you have any suggestions for improvements or have discovered a bug with this software package

Gallery

Download example code and data:

 

Jupyter Notebooks

Larger Python examples:

Search this space ...

 


Recently Updated