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

Piontek, Dennis and Bugliaro Goggia, Luca and Müller, Richard and Muser, Lukas and Jerg, Matthias (2023) Multi-Channel Spectral Band Adjustment Factors for Thermal Infrared Measurements of Geostationary Passive Imagers. Remote Sensing, 15 (1247), pp. 1-23. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs15051247. ISSN 2072-4292.

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Official URL: https://www.mdpi.com/2072-4292/15/5/1247


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.

Item URL in elib:https://elib.dlr.de/194045/
Document Type:Article
Title:Multi-Channel Spectral Band Adjustment Factors for Thermal Infrared Measurements of Geostationary Passive Imagers
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Piontek, DennisDLR, IPAhttps://orcid.org/0000-0001-9426-0564UNSPECIFIED
Bugliaro Goggia, LucaDLR, IPAhttps://orcid.org/0000-0003-4793-0101UNSPECIFIED
Müller, RichardDWD, Offenbachhttps://orcid.org/0000-0002-0376-0393UNSPECIFIED
Muser, LukasAWI, Bremerhavenhttps://orcid.org/0000-0002-8453-918XUNSPECIFIED
Date:24 February 2023
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Page Range:pp. 1-23
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Keywords:passive remote sensing; geostationary satellite imager; spectral band adjustment factor; Meteosat; Himawari
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Air Transportation and Impact
DLR - Research area:Aeronautics
DLR - Program:L AI - Air Transportation and Impact
DLR - Research theme (Project):L - Climate, Weather and Environment, R - Atmospheric and climate research
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Cloud Physics
Deposited By: Piontek, Dennis
Deposited On:27 Feb 2023 07:21
Last Modified:27 Feb 2023 07:21

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