Articles | Volume 16, issue 13
https://doi.org/10.5194/amt-16-3437-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-16-3437-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Jul 2023
Research article |
| 11 Jul 2023
| 11 Jul 2023
Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product
Institute for Space Science, Freie Universität Berlin (FUB), Berlin, Germany
Rene Preusker
Institute for Space Science, Freie Universität Berlin (FUB), Berlin, Germany
Florian Filipitsch
Institute for Space Science, Freie Universität Berlin (FUB), Berlin, Germany
now at: Meteorological Observatory Lindenberg (MOL-RAO), Deutscher Wetterdienst (DWD), Tauche, Germany
Lena Kritten
Institute for Space Science, Freie Universität Berlin (FUB), Berlin, Germany
Franziska Schmidt
Institute for Space Science, Freie Universität Berlin (FUB), Berlin, Germany
now at: Institute for Meteorology, Freie Universität Berlin (FUB), Berlin, Germany
Jürgen Fischer
Institute for Space Science, Freie Universität Berlin (FUB), Berlin, Germany
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Short summary
We describe the stand-alone retrieval algorithm used to derive aerosol properties relying on measurements of the Multi-Spectral Imager (MSI) aboard the upcoming Earth Clouds, Aerosols and Radiation Explorer (EarthCARE) satellite. This aerosol data product will be available as M-AOT after the launch of EarthCARE. Additionally, we applied the algorithm to simulated EarthCARE MSI and Moderate Resolution Imaging Spectroradiometer (MODIS) data for prelaunch algorithm verification.
We describe the stand-alone retrieval algorithm used to derive aerosol properties relying on...
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