Daily Precipitation over Southern Africa: A new resource for climate studies

R Layberry; DR Kniveton; MC Todd; Christopher Kidd; TJ Bellerby

doi:10.1175/JHM477.1

Daily Precipitation over Southern Africa: A new resource for climate studies

R Layberry, DR Kniveton, MC Todd, Christopher Kidd, TJ Bellerby

Geography

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Abstract

This paper describes a new high-resolution multiplatform mullisensor satellite rainfall product for southern Africa covering the period 1993-2002. The microwave infrared rainfall algorithm (MIRA) employed to generate the rainfall estimates combines high spatial and temporal resolution Meteosat infrared data with infrequent Special Sensor Microwave Imager (SSM/I) overpasses. A transfer function relating Meteosat thermal infrared cloud brightness temperatures to SSM/I rainfall estimates is derived using collocated data from the two instruments and then applied to the full coverage of the Meteosat data. An extensive continental-scale validation against synoptic station data of both the daily MIRA precipitation product and a normalized geostationary IR-only Geostationary Operational Environmental Satellite (GOES) precipitation index (GPI) demonstrates a consistent advantage using the Former over the latter for rain delineation. Potential uses for the resulting high-resolution daily rainfall dataset are discussed.

Original language	English
Pages (from-to)	149-159
Number of pages	11
Journal	Journal of Hydrometeorology
Volume	7
Issue number	1
DOIs	https://doi.org/10.1175/JHM477.1
Publication status	Published - 1 Jan 2006

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title = "Daily Precipitation over Southern Africa: A new resource for climate studies",

abstract = "This paper describes a new high-resolution multiplatform mullisensor satellite rainfall product for southern Africa covering the period 1993-2002. The microwave infrared rainfall algorithm (MIRA) employed to generate the rainfall estimates combines high spatial and temporal resolution Meteosat infrared data with infrequent Special Sensor Microwave Imager (SSM/I) overpasses. A transfer function relating Meteosat thermal infrared cloud brightness temperatures to SSM/I rainfall estimates is derived using collocated data from the two instruments and then applied to the full coverage of the Meteosat data. An extensive continental-scale validation against synoptic station data of both the daily MIRA precipitation product and a normalized geostationary IR-only Geostationary Operational Environmental Satellite (GOES) precipitation index (GPI) demonstrates a consistent advantage using the Former over the latter for rain delineation. Potential uses for the resulting high-resolution daily rainfall dataset are discussed.",

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AU - Layberry, R

AU - Kniveton, DR

AU - Todd, MC

AU - Kidd, Christopher

AU - Bellerby, TJ

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Y1 - 2006/1/1

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AB - This paper describes a new high-resolution multiplatform mullisensor satellite rainfall product for southern Africa covering the period 1993-2002. The microwave infrared rainfall algorithm (MIRA) employed to generate the rainfall estimates combines high spatial and temporal resolution Meteosat infrared data with infrequent Special Sensor Microwave Imager (SSM/I) overpasses. A transfer function relating Meteosat thermal infrared cloud brightness temperatures to SSM/I rainfall estimates is derived using collocated data from the two instruments and then applied to the full coverage of the Meteosat data. An extensive continental-scale validation against synoptic station data of both the daily MIRA precipitation product and a normalized geostationary IR-only Geostationary Operational Environmental Satellite (GOES) precipitation index (GPI) demonstrates a consistent advantage using the Former over the latter for rain delineation. Potential uses for the resulting high-resolution daily rainfall dataset are discussed.

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Daily Precipitation over Southern Africa: A new resource for climate studies

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