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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Format: | Article |
Language: | English |
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Borntraeger
2008-02-01
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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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id | doaj.art-f990816ef1ad462a870589d6bebcc119 |
institution | Directory Open Access Journal |
issn | 0941-2948 |
language | English |
last_indexed | 2024-03-08T07:51:23Z |
publishDate | 2008-02-01 |
publisher | Borntraeger |
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series | Meteorologische Zeitschrift |
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 |
work_keys_str_mv | AT ineslanger relationofraincloudsfromsatellitecloudclassificationtoconventionalprecipitationsurfacedataforcentraleurope AT eberhardreimer relationofraincloudsfromsatellitecloudclassificationtoconventionalprecipitationsurfacedataforcentraleurope AT andreaoestreich relationofraincloudsfromsatellitecloudclassificationtoconventionalprecipitationsurfacedataforcentraleurope |