Paper
30 November 2004 Height assignment of atmospheric motion vectors with Meteosat 8
Régis Borde, Arthur De Smet, Arlindo Arriaga
Author Affiliations +
Proceedings Volume 5571, Remote Sensing of Clouds and the Atmosphere IX; (2004) https://doi.org/10.1117/12.565207
Event: Remote Sensing, 2004, Maspalomas, Canary Islands, Spain
Abstract
Atmospheric Motion Vectors (AMVs) are one of the most important products generally derived from all geostationary satellites, and especially from Meteosat at EUMETSAT, because they constitute a very important part of the observation data fed to Numerical Weather Prediction. The resolution of the current operational products is 160 km at the sub-satellite point. The height assignment is currently the most challenging task in the AMV extraction scheme. The main approach used for Meteosat was the so-called 'WV-IRW intercept method' for semi-transparent cases. Opaque cloud heights are calculated from the representative Equivalent Black Body Temperatures derived from the AMV target area. The advent of Meteosat 8 provides many new opportunities for improve height assignment of AMVs. Existence of a CO2 absorption channel at 13.4 μm on SEVIRI instrument enables to use simultaneously the IR/CO2 ratioing methodology in addition to the semi-transparency technique. Due to the existence of several Water Vapour and Infrared channels on SEVIRI, each method can be implemented in slightly different configuration, and finally, there are 15 cloud top pressure schemes implemented in the MSG-MPEF. This paper presents a comparison of some of these methods using Meteosat 8 data.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Régis Borde, Arthur De Smet, and Arlindo Arriaga "Height assignment of atmospheric motion vectors with Meteosat 8", Proc. SPIE 5571, Remote Sensing of Clouds and the Atmosphere IX, (30 November 2004); https://doi.org/10.1117/12.565207
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KEYWORDS
Clouds

Absorption

Atmospheric sensing

Black bodies

Body temperature

Carbon dioxide

Meteorological satellites

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