The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison

Near real-time precipitation is essential to many applications. In Africa, the lack of dense rain-gauge networks and ground weather radars makes the use of satellite precipitation products unavoidable. Despite major progresses in estimating precipitation rate from remote sensing measurements over th...

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Detalles Bibliográficos
Autores: Pellarin, Thierry, Román Cascón, Carlos, Baron, Christian, Bindlish, Rajat, Brocca, Luca, Camberlin, Pierre, Fernández-Prieto, Diego, Kerr, Yann H., Massari, Christian, Panthou, Geremy, Perrimond, Benoit, Philippon, Nathalie, Quantin, Guillaume
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/8257
Acceso en línea:https://hdl.handle.net/20.500.14352/8257
Access Level:acceso abierto
Palabra clave:precipitation
soil moisture
Africa
satellite rainfall products
comparison
Física atmosférica
Meteorología (Física)
2501 Ciencias de la Atmósfera
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spelling The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and ComparisonPellarin, ThierryRomán Cascón, CarlosBaron, ChristianBindlish, RajatBrocca, LucaCamberlin, PierreFernández-Prieto, DiegoKerr, Yann H.Massari, ChristianPanthou, GeremyPerrimond, BenoitPhilippon, NathalieQuantin, Guillaumeprecipitationsoil moistureAfricasatellite rainfall productscomparisonFísica atmosféricaMeteorología (Física)2501 Ciencias de la AtmósferaNear real-time precipitation is essential to many applications. In Africa, the lack of dense rain-gauge networks and ground weather radars makes the use of satellite precipitation products unavoidable. Despite major progresses in estimating precipitation rate from remote sensing measurements over the past decades, satellite precipitation products still suffer from quantitative uncertainties and biases compared to ground data. Consequently, almost all precipitation products are provided in two modes: a real-time mode (also called early-run or raw product) and a corrected mode (also called final-run, adjusted or post-processed product) in which ground precipitation measurements are integrated in algorithms to correct for bias, generally at a monthly timescale. This paper describes a new methodology to provide a near-real-time precipitation product based on satellite precipitation and soil moisture measurements. Recent studies have shown that soil moisture intrinsically contains information on past precipitation and can be used to correct precipitation uncertainties. The PrISM (Precipitation inferred from Soil Moisture) methodology is presented and its performance is assessed for five in situ rainfall measurement networks located in Africa in semi-arid to wet areas: Niger, Benin, Burkina Faso, Central Africa, and East Africa. Results show that the use of SMOS (Soil Moisture and Ocean Salinity) satellite soil moisture measurements in the PrISM algorithm most often improves the real-time satellite precipitation products, and provides results comparable to existing adjusted products, such as TRMM (Tropical Rainfall Measuring Mission), GPCC (Global Precipitation Climatology Centre) and IMERG (Integrated Multi-satellitE Retrievals for GPM), which are available a few weeks or months after their detection.MDPIUniversidad Complutense de Madrid20202020-02-0320202020-02-03journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/8257reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución 3.0 Españahttps://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/82572026-06-02T12:44:21Z
dc.title.none.fl_str_mv The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison
title The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison
spellingShingle The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison
Pellarin, Thierry
precipitation
soil moisture
Africa
satellite rainfall products
comparison
Física atmosférica
Meteorología (Física)
2501 Ciencias de la Atmósfera
title_short The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison
title_full The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison
title_fullStr The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison
title_full_unstemmed The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison
title_sort The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison
dc.creator.none.fl_str_mv Pellarin, Thierry
Román Cascón, Carlos
Baron, Christian
Bindlish, Rajat
Brocca, Luca
Camberlin, Pierre
Fernández-Prieto, Diego
Kerr, Yann H.
Massari, Christian
Panthou, Geremy
Perrimond, Benoit
Philippon, Nathalie
Quantin, Guillaume
author Pellarin, Thierry
author_facet Pellarin, Thierry
Román Cascón, Carlos
Baron, Christian
Bindlish, Rajat
Brocca, Luca
Camberlin, Pierre
Fernández-Prieto, Diego
Kerr, Yann H.
Massari, Christian
Panthou, Geremy
Perrimond, Benoit
Philippon, Nathalie
Quantin, Guillaume
author_role author
author2 Román Cascón, Carlos
Baron, Christian
Bindlish, Rajat
Brocca, Luca
Camberlin, Pierre
Fernández-Prieto, Diego
Kerr, Yann H.
Massari, Christian
Panthou, Geremy
Perrimond, Benoit
Philippon, Nathalie
Quantin, Guillaume
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv precipitation
soil moisture
Africa
satellite rainfall products
comparison
Física atmosférica
Meteorología (Física)
2501 Ciencias de la Atmósfera
topic precipitation
soil moisture
Africa
satellite rainfall products
comparison
Física atmosférica
Meteorología (Física)
2501 Ciencias de la Atmósfera
description Near real-time precipitation is essential to many applications. In Africa, the lack of dense rain-gauge networks and ground weather radars makes the use of satellite precipitation products unavoidable. Despite major progresses in estimating precipitation rate from remote sensing measurements over the past decades, satellite precipitation products still suffer from quantitative uncertainties and biases compared to ground data. Consequently, almost all precipitation products are provided in two modes: a real-time mode (also called early-run or raw product) and a corrected mode (also called final-run, adjusted or post-processed product) in which ground precipitation measurements are integrated in algorithms to correct for bias, generally at a monthly timescale. This paper describes a new methodology to provide a near-real-time precipitation product based on satellite precipitation and soil moisture measurements. Recent studies have shown that soil moisture intrinsically contains information on past precipitation and can be used to correct precipitation uncertainties. The PrISM (Precipitation inferred from Soil Moisture) methodology is presented and its performance is assessed for five in situ rainfall measurement networks located in Africa in semi-arid to wet areas: Niger, Benin, Burkina Faso, Central Africa, and East Africa. Results show that the use of SMOS (Soil Moisture and Ocean Salinity) satellite soil moisture measurements in the PrISM algorithm most often improves the real-time satellite precipitation products, and provides results comparable to existing adjusted products, such as TRMM (Tropical Rainfall Measuring Mission), GPCC (Global Precipitation Climatology Centre) and IMERG (Integrated Multi-satellitE Retrievals for GPM), which are available a few weeks or months after their detection.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-02-03
2020
2020-02-03
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/8257
url https://hdl.handle.net/20.500.14352/8257
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 3.0 España
https://creativecommons.org/licenses/by/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 3.0 España
https://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869418514196987904
score 15,300724

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