Orographic biases in IMERG precipitation estimates in the Ebro River basin (Spain): The effects of rain gauge density and altitude

A gridded precipitation dataset derived from the high-density rain gauge network of the Ebro River Basin Authority is used to evaluate the performance of Integrated Multi-satellitE Retrievals for GPM (IMERG) level-3 estimates. Although aggregated values compare well, several differences are found be...

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Detalles Bibliográficos
Autores: Navarro Martínez de la Casa, Andrés, García Ortega, Eduardo, Merino, Andrés, Sánchez, José Luis, Tapiador Fuentes, Francisco Javier
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/33856
Acceso en línea:https://www.sciencedirect.com/science/article/pii/S0169809520300399?via%3Dihub
https://hdl.handle.net/10578/33856
Access Level:acceso abierto
Palabra clave:IMERG
Precipitation
Rain gauges
Satellite observations
Surface observations
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spelling Orographic biases in IMERG precipitation estimates in the Ebro River basin (Spain): The effects of rain gauge density and altitudeNavarro Martínez de la Casa, AndrésGarcía Ortega, EduardoMerino, AndrésSánchez, José LuisTapiador Fuentes, Francisco JavierIMERGPrecipitationRain gaugesSatellite observationsSurface observationsA gridded precipitation dataset derived from the high-density rain gauge network of the Ebro River Basin Authority is used to evaluate the performance of Integrated Multi-satellitE Retrievals for GPM (IMERG) level-3 estimates. Although aggregated values compare well, several differences are found between climate regions. The research investigates the role of orography and gauge density on IMERG performance. There are important discrepancies over un-instrumented areas in the Pyrenees (R2 = 0.31) but the correlation dramatically increases (R2 > 0.71) when at least one rain gauge is available for calibration, even in complex, high-altitude terrain (>1500 m). IMERG overestimates precipitation at both lower altitudes (<500 m), especially in summer and autumn because of convective activity, and mid-altitudes (600–1200 m) in the northwestern study area, where weather is dominated by the advection of wet maritime air masses. The main conclusion is that IMERG performance strongly depends on altitude and the precipitation regime. IMERG is nonetheless a suitable alternative to gridded gauge-derived only products for hydrologic operations, especially in areas with a sparse rain gauge network.Elsevier202420242020info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://www.sciencedirect.com/science/article/pii/S0169809520300399?via%3Dihubhttps://hdl.handle.net/10578/33856reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésinfo:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/338562026-05-27T07:36:41Z
dc.title.none.fl_str_mv Orographic biases in IMERG precipitation estimates in the Ebro River basin (Spain): The effects of rain gauge density and altitude
title Orographic biases in IMERG precipitation estimates in the Ebro River basin (Spain): The effects of rain gauge density and altitude
spellingShingle Orographic biases in IMERG precipitation estimates in the Ebro River basin (Spain): The effects of rain gauge density and altitude
Navarro Martínez de la Casa, Andrés
IMERG
Precipitation
Rain gauges
Satellite observations
Surface observations
title_short Orographic biases in IMERG precipitation estimates in the Ebro River basin (Spain): The effects of rain gauge density and altitude
title_full Orographic biases in IMERG precipitation estimates in the Ebro River basin (Spain): The effects of rain gauge density and altitude
title_fullStr Orographic biases in IMERG precipitation estimates in the Ebro River basin (Spain): The effects of rain gauge density and altitude
title_full_unstemmed Orographic biases in IMERG precipitation estimates in the Ebro River basin (Spain): The effects of rain gauge density and altitude
title_sort Orographic biases in IMERG precipitation estimates in the Ebro River basin (Spain): The effects of rain gauge density and altitude
dc.creator.none.fl_str_mv Navarro Martínez de la Casa, Andrés
García Ortega, Eduardo
Merino, Andrés
Sánchez, José Luis
Tapiador Fuentes, Francisco Javier
author Navarro Martínez de la Casa, Andrés
author_facet Navarro Martínez de la Casa, Andrés
García Ortega, Eduardo
Merino, Andrés
Sánchez, José Luis
Tapiador Fuentes, Francisco Javier
author_role author
author2 García Ortega, Eduardo
Merino, Andrés
Sánchez, José Luis
Tapiador Fuentes, Francisco Javier
author2_role author
author
author
author
dc.subject.none.fl_str_mv IMERG
Precipitation
Rain gauges
Satellite observations
Surface observations
topic IMERG
Precipitation
Rain gauges
Satellite observations
Surface observations
description A gridded precipitation dataset derived from the high-density rain gauge network of the Ebro River Basin Authority is used to evaluate the performance of Integrated Multi-satellitE Retrievals for GPM (IMERG) level-3 estimates. Although aggregated values compare well, several differences are found between climate regions. The research investigates the role of orography and gauge density on IMERG performance. There are important discrepancies over un-instrumented areas in the Pyrenees (R2 = 0.31) but the correlation dramatically increases (R2 > 0.71) when at least one rain gauge is available for calibration, even in complex, high-altitude terrain (>1500 m). IMERG overestimates precipitation at both lower altitudes (<500 m), especially in summer and autumn because of convective activity, and mid-altitudes (600–1200 m) in the northwestern study area, where weather is dominated by the advection of wet maritime air masses. The main conclusion is that IMERG performance strongly depends on altitude and the precipitation regime. IMERG is nonetheless a suitable alternative to gridded gauge-derived only products for hydrologic operations, especially in areas with a sparse rain gauge network.
publishDate 2020
dc.date.none.fl_str_mv 2020
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://www.sciencedirect.com/science/article/pii/S0169809520300399?via%3Dihub
https://hdl.handle.net/10578/33856
url https://www.sciencedirect.com/science/article/pii/S0169809520300399?via%3Dihub
https://hdl.handle.net/10578/33856
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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