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| Titel |
Nowcasting of cloud cover with MSG |
| VerfasserIn |
Tobias Sirch, Luca Bugliaro |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250096117
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| Publikation (Nr.) |
 EGU/EGU2014-11604.pdf |
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| Zusammenfassung |
| In this poster, an algorithm is shown to detect water and ice clouds
seperately and forecast their developement for the next timesteps. It
is based on Meteosat SEVIRI (Spinning Enhanced Visible and Infrared
Imager) data from almost all channels with a timestep of 15 minutes.
In order to derive cloud cover, optical depth and height of ice clouds
the "Cirrus Optical properties derived from CALIOP and SEVIRI during
day and night" (COCS) algorithm (Kox 2012) was used. For the
determination of water clouds a cloud mask was developed.
For a most accurate forecast the detected clouds are divided into two
groups, convective and advective, and afterwards treated
seperately. The forecast of advective clouds basically takes place
with the pyramidal matcher ("optical flow" technique, Zinner et
al. 2008) by determining a motion vector field from two consecutive
images. The clouds are then classified as objects with similar
properties (optical depth, temperature) and a forecast for each object
separately is then performed.
For the detection of convective clouds the tracking and nowcasting
algorithm Cb-TRAM (CumulonimBus TRacking And Monitoring, Zinner et
al. 2008) is used, which divides convection into three stages. The
further development und thus the forecast of these clouds is dependent
of the current stage.
Appications to selected case studies will be shown. |
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