Optimizing Satellite-Based Precipitation Estimation for Nowcasting of Rainfall and Flash Flood Events over the South African Domain

The South African Weather Service is mandated to issue warnings of hazardous weather events, including those related to heavy precipitation, in order to safeguard life and property. Flooding and flash flood events are common in South Africa. Frequent updates and real-time availability of precipitati...

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Main Author: Estelle de Coning
Format: Article
Language:English
Published: MDPI AG 2013-11-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/5/11/5702
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spelling doaj-aa103df24fe9457c9979bcb99f1590932020-11-24T23:36:25ZengMDPI AGRemote Sensing2072-42922013-11-015115702572410.3390/rs5115702Optimizing Satellite-Based Precipitation Estimation for Nowcasting of Rainfall and Flash Flood Events over the South African DomainEstelle de ConingThe South African Weather Service is mandated to issue warnings of hazardous weather events, including those related to heavy precipitation, in order to safeguard life and property. Flooding and flash flood events are common in South Africa. Frequent updates and real-time availability of precipitation data are crucial to support hydrometeorological warning services. Satellite rainfall estimation provides a very important data source for flash flood guidance systems as well as nowcasting of precipitation events for the data sparse regions of the African continent. Although low earth orbiting satellites with microwave instruments provide good quality rainfall estimates, their temporal and spatial resolution are not adequate for time-critical services. Precipitation estimation using geostationary satellites is less accurate, but provides excellent spatial coverage, is updated frequently and is available in real-time. This study compares different ways to use and combine satellite precipitation estimates and numerical weather prediction model fields over the South African domain in order to determine the optimal estimate of precipitation, which can also be applied in real-time to support flash flood guidance.http://www.mdpi.com/2072-4292/5/11/5702satellitegeostationarynumerical weather prediction model outputrainfallrain gaugesreal-timeflash flood guidance
collection DOAJ
language English
format Article
sources DOAJ
author Estelle de Coning
spellingShingle Estelle de Coning
Optimizing Satellite-Based Precipitation Estimation for Nowcasting of Rainfall and Flash Flood Events over the South African Domain
Remote Sensing
satellite
geostationary
numerical weather prediction model output
rainfall
rain gauges
real-time
flash flood guidance
author_facet Estelle de Coning
author_sort Estelle de Coning
title Optimizing Satellite-Based Precipitation Estimation for Nowcasting of Rainfall and Flash Flood Events over the South African Domain
title_short Optimizing Satellite-Based Precipitation Estimation for Nowcasting of Rainfall and Flash Flood Events over the South African Domain
title_full Optimizing Satellite-Based Precipitation Estimation for Nowcasting of Rainfall and Flash Flood Events over the South African Domain
title_fullStr Optimizing Satellite-Based Precipitation Estimation for Nowcasting of Rainfall and Flash Flood Events over the South African Domain
title_full_unstemmed Optimizing Satellite-Based Precipitation Estimation for Nowcasting of Rainfall and Flash Flood Events over the South African Domain
title_sort optimizing satellite-based precipitation estimation for nowcasting of rainfall and flash flood events over the south african domain
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2013-11-01
description The South African Weather Service is mandated to issue warnings of hazardous weather events, including those related to heavy precipitation, in order to safeguard life and property. Flooding and flash flood events are common in South Africa. Frequent updates and real-time availability of precipitation data are crucial to support hydrometeorological warning services. Satellite rainfall estimation provides a very important data source for flash flood guidance systems as well as nowcasting of precipitation events for the data sparse regions of the African continent. Although low earth orbiting satellites with microwave instruments provide good quality rainfall estimates, their temporal and spatial resolution are not adequate for time-critical services. Precipitation estimation using geostationary satellites is less accurate, but provides excellent spatial coverage, is updated frequently and is available in real-time. This study compares different ways to use and combine satellite precipitation estimates and numerical weather prediction model fields over the South African domain in order to determine the optimal estimate of precipitation, which can also be applied in real-time to support flash flood guidance.
topic satellite
geostationary
numerical weather prediction model output
rainfall
rain gauges
real-time
flash flood guidance
url http://www.mdpi.com/2072-4292/5/11/5702
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