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ADM-Aeolus Level-2B Wind Retrieval Algorithms

DGH Tan, E Andersson, J de Kloe, GJ Marseille, A Stoffelen, P Poli, ML Denneulin, A Dabas, D Huber, O Reitebuch, P Flamant, O Le Rille, AG Straume, H Nett

In this paper, we describe the ADM-Aeolus Level-2B (L2B) wind retrieval algorithms. The purpose of these algorithms is to obtain representative and accurate winds suitable for use in numerical weather prediction (NWP). Level-1B wind retrievals are not suitable for use in NWP for a number of reasons, the principal one being that L1B algorithms do not account explicitly for temperature and pressure effects on the response of the molecular (Rayleigh) channel of the instrument.
By contrast the L2B algorithms use NWP information to take these effects into account. In broken cloud scenes, it is envisaged that separate wind retrievals will be derived for clouds and clear air; this will be done through selective averaging of measurement-scale data in the layers of clear air above clouds, from cloud-top layers, from layers in and below thin clouds, and from layers with sufficient aerosol in lower parts of the atmosphere.

Bibliografische gegevens

DGH Tan, E Andersson, J de Kloe, GJ Marseille, A Stoffelen, P Poli, ML Denneulin, A Dabas, D Huber, O Reitebuch, P Flamant, O Le Rille, AG Straume, H Nett. ADM-Aeolus Level-2B Wind Retrieval Algorithms
2007, 2007, Universities Space Research Association (USRA)

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