Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product

The Earth Explorer mission Earth Clouds, Aerosols and Radiation Explorer (EarthCARE) will not only provide profile information on aerosols but also deliver a horizontal context to it through measurements by its Multi-Spectral Imager (MSI). The columnar aerosol product relying on these passive signal...

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Main Authors: Docter, Nicole, Preusker, Rene, Filipitsch, Florian, Kritten, Lena, Schmidt, Franziska, Fischer, Jürgen
Format: Article in Journal/Newspaper
Language:English
Published: 2023
Subjects:
Online Access:https://refubium.fu-berlin.de/handle/fub188/41101
https://doi.org/10.17169/refubium-40822
https://doi.org/10.5194/amt-16-3437-2023
id ftfuberlin:oai:refubium.fu-berlin.de:fub188/41101
record_format openpolar
spelling ftfuberlin:oai:refubium.fu-berlin.de:fub188/41101 2024-02-11T09:54:45+01:00 Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product Docter, Nicole Preusker, Rene Filipitsch, Florian Kritten, Lena Schmidt, Franziska Fischer, Jürgen 2023 21 Seiten application/pdf https://refubium.fu-berlin.de/handle/fub188/41101 https://doi.org/10.17169/refubium-40822 https://doi.org/10.5194/amt-16-3437-2023 eng eng https://refubium.fu-berlin.de/handle/fub188/41101 http://dx.doi.org/10.17169/refubium-40822 doi:10.5194/amt-16-3437-2023 https://creativecommons.org/licenses/by/4.0/ Aerosol optical depth retrieval EarthCARE Multi-Spectral Imager Earth Explorer ddc:551 doc-type:article 2023 ftfuberlin https://doi.org/10.17169/refubium-4082210.5194/amt-16-3437-2023 2024-01-21T23:25:18Z The Earth Explorer mission Earth Clouds, Aerosols and Radiation Explorer (EarthCARE) will not only provide profile information on aerosols but also deliver a horizontal context to it through measurements by its Multi-Spectral Imager (MSI). The columnar aerosol product relying on these passive signals is called M-AOT (MSI-Aerosol Optical Thickness). Its main parameters are aerosol optical thickness (AOT) at 670 nm over ocean and valid land pixels and at 865 nm over ocean. Here, the algorithm and assumptions behind it are presented. Further, first examples of product parameters are given based on applying the algorithm to simulated EarthCARE test data and Moderate Resolution Imaging Spectroradiometer (MODIS) Level-1 data. Comparisons to input fields used for simulations, to the official MODIS aerosol product, to AErosol RObotic NETwork (AERONET) and to Maritime Aerosol Network (MAN) show an overall reasonable agreement. Over ocean, correlations are 0.98 (simulated scenes), 0.96 (compared to MYD04) and 0.9 (compared to MAN). Over land, correlations are 0.62 (simulated scenes), 0.87 (compared to MYD04) and 0.77 (compared to AERONET). A concluding discussion will focus on future improvements that are necessary and envisioned to enhance the product. Article in Journal/Newspaper Aerosol Robotic Network Freie Universität Berlin: Refubium (FU Berlin)
institution Open Polar
collection Freie Universität Berlin: Refubium (FU Berlin)
op_collection_id ftfuberlin
language English
topic Aerosol optical depth retrieval
EarthCARE Multi-Spectral Imager
Earth Explorer
ddc:551
spellingShingle Aerosol optical depth retrieval
EarthCARE Multi-Spectral Imager
Earth Explorer
ddc:551
Docter, Nicole
Preusker, Rene
Filipitsch, Florian
Kritten, Lena
Schmidt, Franziska
Fischer, Jürgen
Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product
topic_facet Aerosol optical depth retrieval
EarthCARE Multi-Spectral Imager
Earth Explorer
ddc:551
description The Earth Explorer mission Earth Clouds, Aerosols and Radiation Explorer (EarthCARE) will not only provide profile information on aerosols but also deliver a horizontal context to it through measurements by its Multi-Spectral Imager (MSI). The columnar aerosol product relying on these passive signals is called M-AOT (MSI-Aerosol Optical Thickness). Its main parameters are aerosol optical thickness (AOT) at 670 nm over ocean and valid land pixels and at 865 nm over ocean. Here, the algorithm and assumptions behind it are presented. Further, first examples of product parameters are given based on applying the algorithm to simulated EarthCARE test data and Moderate Resolution Imaging Spectroradiometer (MODIS) Level-1 data. Comparisons to input fields used for simulations, to the official MODIS aerosol product, to AErosol RObotic NETwork (AERONET) and to Maritime Aerosol Network (MAN) show an overall reasonable agreement. Over ocean, correlations are 0.98 (simulated scenes), 0.96 (compared to MYD04) and 0.9 (compared to MAN). Over land, correlations are 0.62 (simulated scenes), 0.87 (compared to MYD04) and 0.77 (compared to AERONET). A concluding discussion will focus on future improvements that are necessary and envisioned to enhance the product.
format Article in Journal/Newspaper
author Docter, Nicole
Preusker, Rene
Filipitsch, Florian
Kritten, Lena
Schmidt, Franziska
Fischer, Jürgen
author_facet Docter, Nicole
Preusker, Rene
Filipitsch, Florian
Kritten, Lena
Schmidt, Franziska
Fischer, Jürgen
author_sort Docter, Nicole
title Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product
title_short Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product
title_full Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product
title_fullStr Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product
title_full_unstemmed Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product
title_sort aerosol optical depth retrieval from the earthcare multi-spectral imager: the m-aot product
publishDate 2023
url https://refubium.fu-berlin.de/handle/fub188/41101
https://doi.org/10.17169/refubium-40822
https://doi.org/10.5194/amt-16-3437-2023
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation https://refubium.fu-berlin.de/handle/fub188/41101
http://dx.doi.org/10.17169/refubium-40822
doi:10.5194/amt-16-3437-2023
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.17169/refubium-4082210.5194/amt-16-3437-2023
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