Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2014, Vol. 11, No. 4, pp. 163-177
Estimation of precipitation amount using SEVIRI/METEOSAT-9 and AVHRR/NOAA data for the European territory of Russia
State Research Centre of Space Hydrometeorology “Planeta”, Moscow 123242, Russia
The author’s Complex Threshold Method (CTM) of the automatic pixel-by-pixel classification of SEVIRI/Meteosat and AVHRR/NOAA data retrieves cloud, precipitation and weather hazard properties for day and night all year round conditions in the temperate zone above land, water and snow/ice surfaces. Based on the CTM, a new method to obtain daily precipitation amount (DPA) for the European territory of Russia (ETR) is introduced. The proposed method utilizes the pixel maximum instant precipitation rate derived from the CTM. Two main DPA estimating algorithms are compared in the paper. One of them uses a coefficient-constant retrieved for the same monthly satellite data set, yet the other one relies on a continuously changing coefficient due to the calendar number of the day. To calculate DPA both algorithms multiply the average daily precipitation rate (produced with the daily set of satellite images) by this empirically determined coefficient. The method was adjusted and tested on the satellite and ground-based meteorological data set for the south of the ETR in 2008-2013. The assessments of derived daily, monthly and yearly precipitation amounts demonstrate a good correlation with meteorological observations (gauges), though the SEVIRI-fields look more smoothly compared with the AVHRR and ground-based fields. Combined (AVHRR&SEVIRI) images lack shortcomings of either data. The method can be efficiently used for visual monitoring of daily, monthly and yearly precipitation amounts.
Keywords: SEVIRI, METEOSAT-9, METEOSAT-10, AVHRR, NOAA, daily precipitation amount, monthly precipitation amount, precipitation sums
Full textReferences:
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