South African Weather Service operational satellite based precipitation estimation technique: applications and improvements

Extreme weather related to heavy or more frequent precipitation events seem to be a likely possibility for the future of our planet. While precipitation measurements can be done by means of rain gauges, the obvious disadvantages of point measurements are driving meteorologists towards remotely sense...

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Main Authors: E. de Coning, E. Poolman
Format: Article
Language:English
Published: Copernicus Publications 2011-04-01
Series:Hydrology and Earth System Sciences
Online Access:http://www.hydrol-earth-syst-sci.net/15/1131/2011/hess-15-1131-2011.pdf
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spelling doaj-ae5fe3f2930744999f1f2d0946ada3022020-11-25T00:10:18ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382011-04-011541131114510.5194/hess-15-1131-2011South African Weather Service operational satellite based precipitation estimation technique: applications and improvementsE. de ConingE. PoolmanExtreme weather related to heavy or more frequent precipitation events seem to be a likely possibility for the future of our planet. While precipitation measurements can be done by means of rain gauges, the obvious disadvantages of point measurements are driving meteorologists towards remotely sensed precipitation methods. In South Africa more sophisticated and expensive nowcasting technology such as radar and lightning networks are available, supported by a fairly dense rain gauge network of about 1500 daily gauges. In the rest of southern Africa rainfall measurements are more difficult to obtain. The local version of the Unified Model and the Meteosat Second Generation satellite data are ideal components of precipitation estimation in data sparse regions such as Africa. In South Africa hourly accumulations of the Hydroestimator (originally from NOAA/NESDIS) are currently used as a satellite based precipitation estimator for the South African Flash Flood Guidance system, especially in regions which are not covered by radar. In this study the Hydroestimator and the stratiform rainfall field from the Unified Model are both bias corrected and then combined into a new precipitation field. The new product was tested over a two year period and provides a more accurate and comprehensive input to the Flash Flood Guidance systems in the data sparse southern Africa. Future work will include updating the period over which bias corrections were calculated.http://www.hydrol-earth-syst-sci.net/15/1131/2011/hess-15-1131-2011.pdf
collection DOAJ
language English
format Article
sources DOAJ
author E. de Coning
E. Poolman
spellingShingle E. de Coning
E. Poolman
South African Weather Service operational satellite based precipitation estimation technique: applications and improvements
Hydrology and Earth System Sciences
author_facet E. de Coning
E. Poolman
author_sort E. de Coning
title South African Weather Service operational satellite based precipitation estimation technique: applications and improvements
title_short South African Weather Service operational satellite based precipitation estimation technique: applications and improvements
title_full South African Weather Service operational satellite based precipitation estimation technique: applications and improvements
title_fullStr South African Weather Service operational satellite based precipitation estimation technique: applications and improvements
title_full_unstemmed South African Weather Service operational satellite based precipitation estimation technique: applications and improvements
title_sort south african weather service operational satellite based precipitation estimation technique: applications and improvements
publisher Copernicus Publications
series Hydrology and Earth System Sciences
issn 1027-5606
1607-7938
publishDate 2011-04-01
description Extreme weather related to heavy or more frequent precipitation events seem to be a likely possibility for the future of our planet. While precipitation measurements can be done by means of rain gauges, the obvious disadvantages of point measurements are driving meteorologists towards remotely sensed precipitation methods. In South Africa more sophisticated and expensive nowcasting technology such as radar and lightning networks are available, supported by a fairly dense rain gauge network of about 1500 daily gauges. In the rest of southern Africa rainfall measurements are more difficult to obtain. The local version of the Unified Model and the Meteosat Second Generation satellite data are ideal components of precipitation estimation in data sparse regions such as Africa. In South Africa hourly accumulations of the Hydroestimator (originally from NOAA/NESDIS) are currently used as a satellite based precipitation estimator for the South African Flash Flood Guidance system, especially in regions which are not covered by radar. In this study the Hydroestimator and the stratiform rainfall field from the Unified Model are both bias corrected and then combined into a new precipitation field. The new product was tested over a two year period and provides a more accurate and comprehensive input to the Flash Flood Guidance systems in the data sparse southern Africa. Future work will include updating the period over which bias corrections were calculated.
url http://www.hydrol-earth-syst-sci.net/15/1131/2011/hess-15-1131-2011.pdf
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