An All-Weather Land Surface Temperature Product Based on MSG/SEVIRI Observations
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Authors
Martins, João P. A.
Trigo, Isabel F.
Ghilain, Nicolas
Jimenez, Carlos
Ermida, Sofia L.
Göttsche, Frank-M.
Olesen, Folke-S.
Gellens-Meulenberghs, Françoise
Arboleda, Alirio
Discipline
Earth and related Environmental sciences
Subject
Meteosat
Land surface temperature
evapotranspiration
thermal infrared
Audience
Scientific
Date
2019-12-17Publisher
MDPI
Metadata
Show full item recordDescription
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. Several other imagers provide suitable measurements for implementing the proposed methodology, which offers the potential to obtain a global, nearly gap-free LST product.
Citation
Martins, J. P. A., Trigo, I., Ghilain, N., Jimenez, C., Goettsche, F.-M., Ermida, S. L., Olesen, F.-S., Gellens-Meulenberghs, F., Arboleda, A. (2019). An All-Weather Land Surface Temperature Product Based on MSG/SEVIRI Observations. Remote Sensing, 11(24), 3044. doi: 110.3390/rs11243044
Identifiers
Type
Article
Peer-Review
Yes
Language
eng