SEVIRI PrePro: A Novel Software Tool for the Pre-processing of SEVIRI Geostationary Orbit EO Data Products

George Petropoulos, Vasileios Anagnostopoulos

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The Spinning Enhanced Visible and Infrared Imager (SEVIRI) is a geostationary orbit multispectral sensor on-board the Meteosat second Generation (MSG) platform, acquiring Earth Observation (EO) data over Earth's land surface from the optical to infrared parts of electromagnetic spectrum every 15 min. From the sensor a series of operational products are also provided to the user's community at no cost via EUMETSAT or LSA SAF portals.

Herein, an open access stand-alone software product developed in Java programming language is presented for automating key pre-processing steps to all the SEVIRI operationally distributed products. The software tool, named Seviri PrePro, makes use of present day multi-core processors and is able to process very large datasets in a short time period, making it appropriate as well for use in a High Performance Computing (HPC) environment. The practical usefulness of the toolkit is also demonstrated herein using as a case study the SEVIRI evapotranspiration (ET) product.

The development of SEVIRI PrePro is of significant importance to the SEVIRI users' community and is also very timely given that, to our knowledge, no similar software tool is freely distributed at present. Its use is anticipated to make a significant contribution to a large number of practical applications requiring use of SEVIRI data, including but not limited, weather forecasting and global climate monitoring at a range of geographical scales.
Original languageEnglish
Pages (from-to)321-329
JournalEnvironmental Modelling and Software
Early online date25 May 2016
Publication statusPublished - 01 Aug 2016


  • earth observation
  • pre-processing
  • operational products
  • software tool


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