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AMARSI: Aerosol Modeling and retrieval from multi-spectral imagers

Gerrit de Leeuw(1), Alexander Kokhanovsky(2), Wolfgang von Hoynigne-Huene(2), Gerard Hesselmans(3), Leslie Gale(3), Marc Bouvet(4), Vladimir Rozanov(2) and John Burrows(2)

(1) FMI/TNO, Erik Palmenin Aukio 1, FI-00101 Helsinki, Finland
(2) Univ. Bremen, Otto-Hahn-Allee 1, D-28334 Bremen, Germany
(3) ARGOSS, Voorsterweg 28, 8316 PT Marknesse, Netherlands
(4) ESA, Keplerlaan 1, NL-2200 AG Noordwijk, Netherlands

Abstract

The AMARSI project aims at the development and validation of aerosol retrieval algorithms over ocean. A first algorithm will be developed for application with data from the Multi Spectral Imager on EarthCARE. A second algorithm will be developed using the combined information from AATSR and MERIS. A forward model has been developed based on SCIATRAN to simulate the top-of-atmosphere signal over clear sky ocean scenes. Physical scenarios created with a climate model (ECHAM5-HAM) are used in the algorithm development. Data bases providing ground truth information on aerosol properties over open ocean are selected for the validation of each of the algorithms. In addition comparisons are anticipated of the retrieval results for AATSR/MERIS and the simulated MSI signals with other satellites. During the conference preliminary results will be presented.

 

Workshop presentation

Keywords: ESA European Space Agency - Agence spatiale europeenne, observation de la terre, earth observation, satellite remote sensing, teledetection, geophysique, altimetrie, radar, chimique atmospherique, geophysics, altimetry, radar, atmospheric chemistry