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An All-Weather Land Surface Temperature Product Based on MSG/SEVIRI Observations

Martins, João P. A.; Trigo, Isabel F.; Ghilain, Nicolas; Jimenez, Carlos; Göttsche, Frank-M.; Ermida, Sofia L.; Olesen, Folke-S.; Gellens-Meulenberghs, Françoise; Arboleda, Alirio

Abstract:
A new all-weather land surface temperature (LST) product derived at the Satellite Application Facility on Land Surface Analysis (LSA-SAF) is presented. It is the first all-weather LST product based on visible and infrared observations combining clear-sky LST retrieved from the Spinning Enhanced Visible and Infrared Imager on Meteosat Second Generation (MSG/SEVIRI) infrared (IR) measurements with LST estimated with a land surface energy balance (EB) model to fill gaps caused by clouds. The EB model solves the surface energy balance mostly using products derived
at LSA-SAF. The new product is compared with in situ observations made at 3 dedicated validation stations, and with a microwave (MW)-based LST product derived from Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) measurements. The validation against in-situ LST indicates an accuracy of the new product between -0.8 K and 1.1 K and a precision between 1.0 K and 1.4 K, generally showing a better performance than the MW product. The EB model shows some limitations concerning the representation of the LST diurnal cycle. Comparisons with MW LST generally show higher LST of the new product over desert areas, and lower LST over tropical regions. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000104483
Veröffentlicht am 20.12.2019
Originalveröffentlichung
DOI: 10.3390/rs11243044
Coverbild
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Jahr 2019
Sprache Englisch
Identifikator ISSN: 2072-4292
KITopen-ID: 1000104483
HGF-Programm 12.01.01 (POF III, LK 01)
Erschienen in Remote sensing
Band 11
Heft 24
Seiten Article: 3044
Vorab online veröffentlicht am 17.12.2019
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