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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Freie Universität Berlin
2023
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ftdatacite:10.17169/refubium-40822 2024-02-27T08:32:32+00:00 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 https://dx.doi.org/10.17169/refubium-40822 https://refubium.fu-berlin.de/handle/fub188/41101 unknown Freie Universität Berlin https://doi.org/10.5194/amt-16-3437-2023 https://dx.doi.org/10.5194/amt-16-3437-2023 https://doi.org/10.5194/amt-16-3437-2023 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Aerosol optical depth retrieval EarthCARE Multi-Spectral Imager Earth Explorer 500 Naturwissenschaften und Mathematik550 Geowissenschaften, Geologie551 Geologie, Hydrologie, Meteorologie article-journal ScholarlyArticle Text Wissenschaftlicher Artikel 2023 ftdatacite https://doi.org/10.17169/refubium-4082210.5194/amt-16-3437-2023 2024-02-01T15:44:12Z 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 ... Text Aerosol Robotic Network DataCite Metadata Store (German National Library of Science and Technology) |
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Aerosol optical depth retrieval EarthCARE Multi-Spectral Imager Earth Explorer 500 Naturwissenschaften und Mathematik550 Geowissenschaften, Geologie551 Geologie, Hydrologie, Meteorologie |
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Aerosol optical depth retrieval EarthCARE Multi-Spectral Imager Earth Explorer 500 Naturwissenschaften und Mathematik550 Geowissenschaften, Geologie551 Geologie, Hydrologie, Meteorologie 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 500 Naturwissenschaften und Mathematik550 Geowissenschaften, Geologie551 Geologie, Hydrologie, Meteorologie |
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 ... |
format |
Text |
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 ... |
publisher |
Freie Universität Berlin |
publishDate |
2023 |
url |
https://dx.doi.org/10.17169/refubium-40822 https://refubium.fu-berlin.de/handle/fub188/41101 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
https://doi.org/10.5194/amt-16-3437-2023 https://dx.doi.org/10.5194/amt-16-3437-2023 https://doi.org/10.5194/amt-16-3437-2023 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.17169/refubium-4082210.5194/amt-16-3437-2023 |
_version_ |
1792046125160595456 |