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Multi-Channel Spectral Band Adjustment Factors for Thermal Infrared Measurements of Geostationary Passive Imagers

Piontek, Dennis; Bugliaro, Luca; Müller, Richard; Muser, Lukas ORCID iD icon 1; Jerg, Matthias
1 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)

Abstract:

The newest and upcoming geostationary passive imagers have thermal infrared channels comparable to those of more established instruments, but their spectral response functions still differ significantly. Therefore, retrievals developed for a certain type of radiometer cannot simply be applied to another imager. Here, a set of spectral band adjustment factors is determined for MSG/SEVIRI, Himawari-8/AHI, and MTG1/FCI from a training dataset based on MetOp/IASI hyperspectral observations. These correction functions allow to turn the observation of one sensor into an analogue observation of another sensor. This way, the same satellite retrieval—that has been usually developed for a specific instrument with a specific spectral response function—can be applied to produce long time series that go beyond one single satellite/satellite series or to cover the entire geostationary ring in a consistent way. It is shown that the mean uncorrected brightness temperature differences between corresponding channels of two imagers can be >1 K, in particular for the channels centered around 13.4 μm in the carbon dioxide absorption band and even when comparing different imager realizations of the same series, such as the four SEVIRI sensors aboard MSG1 to MSG4. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000157392
Veröffentlicht am 17.04.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 2072-4292
KITopen-ID: 1000157392
HGF-Programm 12.11.32 (POF IV, LK 01) Advancing atmospheric and Earth system models
Erschienen in Remote Sensing
Verlag MDPI
Band 15
Heft 5
Seiten Art.-Nr.: 1247
Vorab online veröffentlicht am 24.02.2023
Nachgewiesen in Scopus
Web of Science
Dimensions
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