2023
DOI: 10.5194/amt-16-3437-2023
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Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product

Abstract: Abstract. 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 assum… Show more

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Cited by 6 publications
(4 citation statements)
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“…The columnar aerosol classification probability is an important input parameter for the AM-COL algorithm (Haarig et al, 2023), which combines the ATLID aerosol typing with the MSI aerosol classification provided in the M-AOT product (Docter et al, 2023).…”
Section: Columnar Aerosol Classification Probabilitymentioning
confidence: 99%
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“…The columnar aerosol classification probability is an important input parameter for the AM-COL algorithm (Haarig et al, 2023), which combines the ATLID aerosol typing with the MSI aerosol classification provided in the M-AOT product (Docter et al, 2023).…”
Section: Columnar Aerosol Classification Probabilitymentioning
confidence: 99%
“…The active instruments ATLID and CPR contribute with vertically resolved measurements for a two-dimensional (2D) atmospheric cross section along the satellite track (e.g., Donovan et al, 2023a;Kollias et al, 2023;Mroz et al, 2023;Irbah et al, 2023). The passive imager MSI provides observations of columnar aerosol and cloud properties across a 150 km wide swath (Docter et al, 2023;Hünerbein et al, 2023b, a), which are used to extend the 2D cross sections from lidar and radar into the 3D domain (Haarig et al, 2023;Qu et al, 2023). With this approach, 3D radiation modeling and closure assessments become possible; i.e., modeled TOA radiances and fluxes can be compared with those derived from BBR measurements (Cole et al, 2022;Barker et al, 2023).…”
Section: Introductionmentioning
confidence: 99%
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“…The passive instrument, the multi-spectral imager (MSI), gives horizontal context to the observed scene (Wandinger et al, 2023;Docter et al, 2023;Hünerbein et al, 2023b, a;Haarig et al, 2023) and is used to create 3D scenes (Qu et al, 2023). The 3D information of the atmosphere based on measurements of these instruments (Mason et al, 2023) will be used as input for 1D and 3D-radiative transfer calculations (Cole et al, 2022).…”
Section: Introductionmentioning
confidence: 99%