Preprints
https://doi.org/10.5194/egusphere-2023-150
https://doi.org/10.5194/egusphere-2023-150
09 Feb 2023
 | 09 Feb 2023

Aerosol optical depth retrieval from the EarthCARE multi-spectral imager: the M-AOT product

Nicole Docter, Rene Preusker, Florian Filipitsch, Lena Kritten, Franziska Schmidt, and Jürgen Fischer

Abstract. The Earth Explorer mission Earth Clouds, Aerosols and Radiation Explorer (EarthCARE) will not only provide profile information on aerosols but will 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. Its main parameters are aerosol optical thickness (AOT) at 670 nm over ocean and, where possible land, 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, 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 necessary and envisioned to enhance the product.

Journal article(s) based on this preprint

11 Jul 2023
Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product
Nicole Docter, Rene Preusker, Florian Filipitsch, Lena Kritten, Franziska Schmidt, and Jürgen Fischer
Atmos. Meas. Tech., 16, 3437–3457, https://doi.org/10.5194/amt-16-3437-2023,https://doi.org/10.5194/amt-16-3437-2023, 2023
Short summary

Nicole Docter et al.

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-150', Anonymous Referee #1, 09 Mar 2023
  • RC2: 'Comment on egusphere-2023-150', Anonymous Referee #2, 10 Mar 2023

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-150', Anonymous Referee #1, 09 Mar 2023
  • RC2: 'Comment on egusphere-2023-150', Anonymous Referee #2, 10 Mar 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Nicole Docter on behalf of the Authors (28 Apr 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (30 Apr 2023) by Ulla Wandinger
RR by Anonymous Referee #1 (03 May 2023)
RR by Anonymous Referee #2 (11 May 2023)
ED: Publish subject to technical corrections (11 May 2023) by Ulla Wandinger
AR by Nicole Docter on behalf of the Authors (19 May 2023)  Manuscript 

Journal article(s) based on this preprint

11 Jul 2023
Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product
Nicole Docter, Rene Preusker, Florian Filipitsch, Lena Kritten, Franziska Schmidt, and Jürgen Fischer
Atmos. Meas. Tech., 16, 3437–3457, https://doi.org/10.5194/amt-16-3437-2023,https://doi.org/10.5194/amt-16-3437-2023, 2023
Short summary

Nicole Docter et al.

Nicole Docter et al.

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
We describe the stand-alone retrieval algorithm used to derive aerosol properties relying on measurements of the Multi-Spectral Imager (MSI) on-board 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 pre-launch algorithm verification.