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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2015, Vol. 12, No. 3, pp. 7-26

Specialized complex of programs for retrieving and validating satellite estimates of cloud and precipitation

E.V. Volkova1 , A.B. Uspensky1 , A.V. Kuharsky1 
1 State Research Centre of Space Hydrometeorology “Planeta” , Moscow, Russia
The Specialized Complex of Programs (SCP) is introduced. Being developed in the State Research Centre of Space Hydrometeorology “Planeta” the SCP automatically pixel-by-pixel classifies the SEVIRI/Meteosat-10 and AVHRR/NOAA data to retrieve cloud, precipitation and weather hazard properties for day and night all year round conditions above land, water and snow/ice surfaces for the European territory of Russia (ETR), and automatically validates satellite estimations by ground-based observations at meteorological stations, the meteorological radar, and the same products of independent satellite complexes. The internal structure of the SCP permits to adjust it rather easily to any other similar satellite information (for example, to MSU-GS Electro or MSU-MR Meteor data). The classifying process is set to each satellite observation while the complete validation procedure starts daily and monthly after all the necessary satellite and supplementary information is available. The SCP “ETR” does not require much computing resources and can be set on any personal computer having access to the archives contained satellite data, forecasted fields of pressure at sea level and air temperature at 9 standard levels and at ground, observations at meteorological stations and by the ground-based meteorological radar, and independent satellite estimations. The cloud and precipitation products obtained by the SCP satisfy the requirements on quality proposed by the World Meteorological Organization and demonstrate good similarity to the EUMETSAT cloud products exceeding the latter because they are produced day and night above any surface and detect more cloud products and discriminate more classes while using less supplementary information.
Keywords: SEVIRI, Meteosat-9, Meteosat-10, AVHRR, NOAA, cloud mask, cloud analysis, cloud top height, precipitation, thunderstorm, hail, ETR
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