Aerosol composition retrieval from a combination of three different spaceborne instruments: information content analysis

Stöffelmair, Ulrike; Popp, Thomas; Vountas, Marco; Bösch, Hartmut

doi:https://doi.org/10.5194/amt-18-2005-2025

Articles | Volume 18, issue 9

https://doi.org/10.5194/amt-18-2005-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-18-2005-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 9

Research article

|

07 May 2025

Research article |

| 07 May 2025

Aerosol composition retrieval from a combination of three different spaceborne instruments: information content analysis

Ulrike Stöffelmair, Thomas Popp, Marco Vountas, and Hartmut Bösch

Data sets

MERRA-2 inst3_2d_gas_Nx: 2d, 3-Hourly, Instantaneous, Single-Level, Assimilation, Aerosol Optical Depth Analysis V5.12.4 Global Modeling And Assimilation Office and S. Pawson https://doi.org/10.5067/HNGA0EWW0R09

MERRA-2 inst3_3d_aer_Nv: 3d, 3-Hourly, Instantaneous, Model-Level, Assimilation, Aerosol Mixing Ratio V5.12.4 Global Modeling And Assimilation Office and S. Pawson https://doi.org/10.5067/LTVB4GPCOTK2

Short summary

Aerosol composition has a large influence on the climate system. This study uses realistic simulated scenarios to look at the information content of a combination of three satellite-based instruments (SLSTR, IASI and GOME-2). It shows that it is possible to retrieve 6 to 15 different aerosol components in addition to the aerosol optical depth (AOD) and different surface parameters. The results are used for the development of a synergistic multi-sensor retrieval algorithm.