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MUSICA MetOp/IASI {H2O, D} pair retrieval simulations for validating tropospheric moisture pathways in atmospheric models [Discussion paper]

Authors :
Schneider, Matthias
Borger, Christian
Wiegele, Andreas
Hase, Frank
García Rodríguez, Omaira Elena
Sepúlveda Hernández, Eliezer
Werner, Martin
Source :
ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET), Agencia Estatal de Meteorología (AEMET)
Publication Year :
2016
Publisher :
European Geosciences Union, 2016.

Abstract

The characteristics of {H2O,δD} pair space-based remote sensing data depend on the atmospheric and surface conditions, which compromises their usage for model evaluation studies. This paper shows how the problem can be overcome by simulating MUSICA MetOp/IASI {H2O,δD} remote sensing products for any given model atmosphere. The remote sensing retrieval simulator is freely provided as a MATLAB and Python routine. This study has been conducted in the framework of the project MUSICA which is funded by the European Research Council under the European Community’s Seventh Framework Programme (FP7/2007-2013) / ERC Grant agreement number 256961.

Details

Language :
English
Database :
OpenAIRE
Journal :
ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET), Agencia Estatal de Meteorología (AEMET)
Accession number :
edsair.dedup.wf.001..5c3a6fe42d175fe9f2d386d7ab3c46d3