EGU2020-8679, updated on 12 Jun 2020
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

SEAWIFS4MERIS adaptation to OLCI

Diana Dermann1, Miriam Kosmale2, and Thomas Popp1
Diana Dermann et al.
  • 1German Center for Romote Sensing (DFD), German Aerospace Center (DLR), Oberpfaffenhofen, Germany (
  • 2Finnish Meteorological Institute (FMI), Helsinki, Finnland

SeaWIFS4Meris is retrieving AOD at 550nm by fitting reflectance spectra at TOA to those measured by the MERIS instrument (ENVISAT). The OLCI instrument on Sentinel 3 is the successor of MERIS. The SeaWiFS4Meris Algorithm for AOD retrieval has been subsequently adapted to process OLCI data. Compared to AATSR/SLSTR OLCI and MERIS offer a better coverage due to a wider swath (1150km for OLCI and MERIS compared to 512km for AATSR).

We present aerosol retrieval results for the second half of 2019 together with their validation.

Based on the validation, next steps for improving the algorithm are defined. First, the albedo will be recalculated based on OLCI data - currently the albedo data calculated from MERIS data of 2008 is used. Secondly, possibilities for updating the cloud mask algorithm will be analyzed using the additional bands of OLCI. Lastly, the treatment of aerosol types will be inspected.

How to cite: Dermann, D., Kosmale, M., and Popp, T.: SEAWIFS4MERIS adaptation to OLCI, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8679,, 2020

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