Piontek, Dennis und Bugliaro Goggia, Luca und Müller, Richard und Muser, Lukas und Jerg, Matthias (2023) Multi-Channel Spectral Band Adjustment Factors for Thermal Infrared Measurements of Geostationary Passive Imagers. Remote Sensing, 15 (1247), Seiten 1-23. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs15051247. ISSN 2072-4292.
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Offizielle URL: https://www.mdpi.com/2072-4292/15/5/1247
Kurzfassung
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. The spectral band adjustment factors can remove the bias and even reduce the standard deviation in the brightness temperature difference by more than 80%, with the effect being dependent on the spectral channel and the complexity of the correction function. Further tests include the application of the spectral band adjustment factors in combination with (a) a volcanic ash cloud retrieval to Himawari-8/AHI observations of the Raikoke eruption 2019 and a comparison to an ICON-ART model simulation, and (b) an ice cloud retrieval to simulated MTG1/FCI test data with the outcome compared to the retrieval results using real MSG3/SEVIRI measurements for the same scene.
elib-URL des Eintrags: | https://elib.dlr.de/194045/ | ||||||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||
Titel: | Multi-Channel Spectral Band Adjustment Factors for Thermal Infrared Measurements of Geostationary Passive Imagers | ||||||||||||||||||||||||
Autoren: |
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Datum: | 24 Februar 2023 | ||||||||||||||||||||||||
Erschienen in: | Remote Sensing | ||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||
Gold Open Access: | Ja | ||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||
Band: | 15 | ||||||||||||||||||||||||
DOI: | 10.3390/rs15051247 | ||||||||||||||||||||||||
Seitenbereich: | Seiten 1-23 | ||||||||||||||||||||||||
Verlag: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||||||||||||||
ISSN: | 2072-4292 | ||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||
Stichwörter: | passive remote sensing; geostationary satellite imager; spectral band adjustment factor; Meteosat; Himawari | ||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||
HGF - Programm: | Luftfahrt | ||||||||||||||||||||||||
HGF - Programmthema: | Luftverkehr und Auswirkungen | ||||||||||||||||||||||||
DLR - Schwerpunkt: | Luftfahrt | ||||||||||||||||||||||||
DLR - Forschungsgebiet: | L AI - Luftverkehr und Auswirkungen | ||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | L - Klima, Wetter und Umwelt, R - Atmosphären- und Klimaforschung | ||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Physik der Atmosphäre > Wolkenphysik | ||||||||||||||||||||||||
Hinterlegt von: | Piontek, Dennis | ||||||||||||||||||||||||
Hinterlegt am: | 27 Feb 2023 07:21 | ||||||||||||||||||||||||
Letzte Änderung: | 27 Feb 2023 07:21 |
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