Relation of rain clouds from satellite cloud classification to conventional precipitation surface data for Central Europe

The scope of this paper is to show how satellite-derived cloud data and synoptic cloud data can be combined for the analysis of precipitation events. By applying the maximum-likelihood-method a bi-spectral cloud classification of Meteosat data has been performed and these data were compared to synop...

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Main Authors: Ines Langer, Eberhard Reimer, Andrea Oestreich
Format: Article
Language:English
Published: Borntraeger 2008-02-01
Series:Meteorologische Zeitschrift
Online Access:http://dx.doi.org/10.1127/0941-2948/2008/0268
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author Ines Langer
Eberhard Reimer
Andrea Oestreich
author_facet Ines Langer
Eberhard Reimer
Andrea Oestreich
author_sort Ines Langer
collection DOAJ
description The scope of this paper is to show how satellite-derived cloud data and synoptic cloud data can be combined for the analysis of precipitation events. By applying the maximum-likelihood-method a bi-spectral cloud classification of Meteosat data has been performed and these data were compared to synoptic observations of the surface WMO network. Cloud classes and cloud cover were derived from a 12-year period 1992-2003 with half-hourly data between 06 and 18 UT. Satellite-derived cloud classes were further compared with conventional precipitation data and with 'present weather information'(ww) to separate them into cumuliform and stratiform cloud classes. For the verification of the results of the long period some single events of heavy rainfall were investigated, especially the weather situation during the Elbe flood 2002.
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spelling doaj.art-f990816ef1ad462a870589d6bebcc1192024-02-02T14:46:20ZengBorntraegerMeteorologische Zeitschrift0941-29482008-02-01171293710.1127/0941-2948/2008/026856563Relation of rain clouds from satellite cloud classification to conventional precipitation surface data for Central EuropeInes LangerEberhard ReimerAndrea OestreichThe scope of this paper is to show how satellite-derived cloud data and synoptic cloud data can be combined for the analysis of precipitation events. By applying the maximum-likelihood-method a bi-spectral cloud classification of Meteosat data has been performed and these data were compared to synoptic observations of the surface WMO network. Cloud classes and cloud cover were derived from a 12-year period 1992-2003 with half-hourly data between 06 and 18 UT. Satellite-derived cloud classes were further compared with conventional precipitation data and with 'present weather information'(ww) to separate them into cumuliform and stratiform cloud classes. For the verification of the results of the long period some single events of heavy rainfall were investigated, especially the weather situation during the Elbe flood 2002.http://dx.doi.org/10.1127/0941-2948/2008/0268
spellingShingle Ines Langer
Eberhard Reimer
Andrea Oestreich
Relation of rain clouds from satellite cloud classification to conventional precipitation surface data for Central Europe
Meteorologische Zeitschrift
title Relation of rain clouds from satellite cloud classification to conventional precipitation surface data for Central Europe
title_full Relation of rain clouds from satellite cloud classification to conventional precipitation surface data for Central Europe
title_fullStr Relation of rain clouds from satellite cloud classification to conventional precipitation surface data for Central Europe
title_full_unstemmed Relation of rain clouds from satellite cloud classification to conventional precipitation surface data for Central Europe
title_short Relation of rain clouds from satellite cloud classification to conventional precipitation surface data for Central Europe
title_sort relation of rain clouds from satellite cloud classification to conventional precipitation surface data for central europe
url http://dx.doi.org/10.1127/0941-2948/2008/0268
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AT eberhardreimer relationofraincloudsfromsatellitecloudclassificationtoconventionalprecipitationsurfacedataforcentraleurope
AT andreaoestreich relationofraincloudsfromsatellitecloudclassificationtoconventionalprecipitationsurfacedataforcentraleurope