Análisis comparativo de cuatro productos satelitales de precipitación mensual para la provincia de La Pampa

Autores
Echevarria, Daniela Carola; Vazquez, Pablo Mauricio; Carreño, Lorena Veronica
Año de publicación
2025
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Este estudio tuvo como propósito evaluar el desempeño de cuatro productos satelitales de precipitación mensual—CHIRPS, ERA5, GPM y JAXA GSMaP—en la provincia de La Pampa, Argentina, mediante su comparación con registros de pluviómetros. Se utilizaron datos de 26 estaciones meteorológicas con series completas o casi completas entre 2000 y 2025.
This study aimed to evaluate the performance of four satellite-based monthly precipitation products—CHIRPS, ERA5, GPM, and JAXA GSMaP—over La Pampa Province, Argentina, by comparing them with ground-based rain gauge records. A dataset of 26 meteorological stations with complete or near-complete records from 2000 to 2025 was used as a reference. Satellite estimates were extracted with Google Earth Engine and averaged within an 11 km buffer around each station. Simple linear regression models were trained (2000-2020) and validated (2021-2025). Model accuracy was assessed using R2 , RMSE, standard error, and bias, complemented with monthly and regional analyses. At the provincial scale, all products showed moderate agreement with observations (R2 =0.58-0.69). Most products underestimated precipitation, except GPM which initially overestimated but significantly improved in the validation stage, reducing its bias from >60 % to <10 % and achieving the lowest RMSE (<30 mm). Seasonal analysis revealed systematic winter overestimations, especially for JAXA. Regionally, better performance was observed in the humid East compared to the arid West, where isolated convective events were poorly detected. Among the evaluated products, GPM showed the most robust and consistent performance, particularly in the eastern sector of La Pampa. However, in arid areas with scarce rainfall and weak station coverage, satellite data should be complemented with local observations, with CHIRPS and ERA5 serving as auxiliary sources.
EEA INTA Anguil
Fil: Echevarria, Daniela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentina
Fil: Vazquez, Pablo Mauricio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentina
Fil: Carreño, Lorena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentina
Fuente
Metereologica 50 : e040. (2025)
Materia
Pluviosidad
La Pampa
Rainfall
Precipitation
Precipitación Atmosférica
Productos Satelitales
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/24916
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oai_identifier_str oai:localhost:20.500.12123/24916
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network_name_str INTA Digital (INTA)
spelling Análisis comparativo de cuatro productos satelitales de precipitación mensual para la provincia de La PampaEchevarria, Daniela CarolaVazquez, Pablo MauricioCarreño, Lorena VeronicaPluviosidadLa PampaRainfallPrecipitationPrecipitación AtmosféricaProductos SatelitalesEste estudio tuvo como propósito evaluar el desempeño de cuatro productos satelitales de precipitación mensual—CHIRPS, ERA5, GPM y JAXA GSMaP—en la provincia de La Pampa, Argentina, mediante su comparación con registros de pluviómetros. Se utilizaron datos de 26 estaciones meteorológicas con series completas o casi completas entre 2000 y 2025.This study aimed to evaluate the performance of four satellite-based monthly precipitation products—CHIRPS, ERA5, GPM, and JAXA GSMaP—over La Pampa Province, Argentina, by comparing them with ground-based rain gauge records. A dataset of 26 meteorological stations with complete or near-complete records from 2000 to 2025 was used as a reference. Satellite estimates were extracted with Google Earth Engine and averaged within an 11 km buffer around each station. Simple linear regression models were trained (2000-2020) and validated (2021-2025). Model accuracy was assessed using R2 , RMSE, standard error, and bias, complemented with monthly and regional analyses. At the provincial scale, all products showed moderate agreement with observations (R2 =0.58-0.69). Most products underestimated precipitation, except GPM which initially overestimated but significantly improved in the validation stage, reducing its bias from >60 % to <10 % and achieving the lowest RMSE (<30 mm). Seasonal analysis revealed systematic winter overestimations, especially for JAXA. Regionally, better performance was observed in the humid East compared to the arid West, where isolated convective events were poorly detected. Among the evaluated products, GPM showed the most robust and consistent performance, particularly in the eastern sector of La Pampa. However, in arid areas with scarce rainfall and weak station coverage, satellite data should be complemented with local observations, with CHIRPS and ERA5 serving as auxiliary sources.EEA INTA AnguilFil: Echevarria, Daniela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; ArgentinaFil: Vazquez, Pablo Mauricio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; ArgentinaFil: Carreño, Lorena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; ArgentinaCentro Argentino de Meteorólogos2026-01-07T12:27:39Z2026-01-07T12:27:39Z2025-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/24916https://revistas.unlp.edu.ar/meteorologica/article/view/191291850-468Xhttps://doi.org/10.24215/1850468Xe040Metereologica 50 : e040. (2025)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaspainfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2026-01-08T10:41:02Zoai:localhost:20.500.12123/24916instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2026-01-08 10:41:03.099INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Análisis comparativo de cuatro productos satelitales de precipitación mensual para la provincia de La Pampa
title Análisis comparativo de cuatro productos satelitales de precipitación mensual para la provincia de La Pampa
spellingShingle Análisis comparativo de cuatro productos satelitales de precipitación mensual para la provincia de La Pampa
Echevarria, Daniela Carola
Pluviosidad
La Pampa
Rainfall
Precipitation
Precipitación Atmosférica
Productos Satelitales
title_short Análisis comparativo de cuatro productos satelitales de precipitación mensual para la provincia de La Pampa
title_full Análisis comparativo de cuatro productos satelitales de precipitación mensual para la provincia de La Pampa
title_fullStr Análisis comparativo de cuatro productos satelitales de precipitación mensual para la provincia de La Pampa
title_full_unstemmed Análisis comparativo de cuatro productos satelitales de precipitación mensual para la provincia de La Pampa
title_sort Análisis comparativo de cuatro productos satelitales de precipitación mensual para la provincia de La Pampa
dc.creator.none.fl_str_mv Echevarria, Daniela Carola
Vazquez, Pablo Mauricio
Carreño, Lorena Veronica
author Echevarria, Daniela Carola
author_facet Echevarria, Daniela Carola
Vazquez, Pablo Mauricio
Carreño, Lorena Veronica
author_role author
author2 Vazquez, Pablo Mauricio
Carreño, Lorena Veronica
author2_role author
author
dc.subject.none.fl_str_mv Pluviosidad
La Pampa
Rainfall
Precipitation
Precipitación Atmosférica
Productos Satelitales
topic Pluviosidad
La Pampa
Rainfall
Precipitation
Precipitación Atmosférica
Productos Satelitales
dc.description.none.fl_txt_mv Este estudio tuvo como propósito evaluar el desempeño de cuatro productos satelitales de precipitación mensual—CHIRPS, ERA5, GPM y JAXA GSMaP—en la provincia de La Pampa, Argentina, mediante su comparación con registros de pluviómetros. Se utilizaron datos de 26 estaciones meteorológicas con series completas o casi completas entre 2000 y 2025.
This study aimed to evaluate the performance of four satellite-based monthly precipitation products—CHIRPS, ERA5, GPM, and JAXA GSMaP—over La Pampa Province, Argentina, by comparing them with ground-based rain gauge records. A dataset of 26 meteorological stations with complete or near-complete records from 2000 to 2025 was used as a reference. Satellite estimates were extracted with Google Earth Engine and averaged within an 11 km buffer around each station. Simple linear regression models were trained (2000-2020) and validated (2021-2025). Model accuracy was assessed using R2 , RMSE, standard error, and bias, complemented with monthly and regional analyses. At the provincial scale, all products showed moderate agreement with observations (R2 =0.58-0.69). Most products underestimated precipitation, except GPM which initially overestimated but significantly improved in the validation stage, reducing its bias from >60 % to <10 % and achieving the lowest RMSE (<30 mm). Seasonal analysis revealed systematic winter overestimations, especially for JAXA. Regionally, better performance was observed in the humid East compared to the arid West, where isolated convective events were poorly detected. Among the evaluated products, GPM showed the most robust and consistent performance, particularly in the eastern sector of La Pampa. However, in arid areas with scarce rainfall and weak station coverage, satellite data should be complemented with local observations, with CHIRPS and ERA5 serving as auxiliary sources.
EEA INTA Anguil
Fil: Echevarria, Daniela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentina
Fil: Vazquez, Pablo Mauricio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentina
Fil: Carreño, Lorena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentina
description Este estudio tuvo como propósito evaluar el desempeño de cuatro productos satelitales de precipitación mensual—CHIRPS, ERA5, GPM y JAXA GSMaP—en la provincia de La Pampa, Argentina, mediante su comparación con registros de pluviómetros. Se utilizaron datos de 26 estaciones meteorológicas con series completas o casi completas entre 2000 y 2025.
publishDate 2025
dc.date.none.fl_str_mv 2025-11
2026-01-07T12:27:39Z
2026-01-07T12:27:39Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/24916
https://revistas.unlp.edu.ar/meteorologica/article/view/19129
1850-468X
https://doi.org/10.24215/1850468Xe040
url http://hdl.handle.net/20.500.12123/24916
https://revistas.unlp.edu.ar/meteorologica/article/view/19129
https://doi.org/10.24215/1850468Xe040
identifier_str_mv 1850-468X
dc.language.none.fl_str_mv spa
language spa
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Centro Argentino de Meteorólogos
publisher.none.fl_str_mv Centro Argentino de Meteorólogos
dc.source.none.fl_str_mv Metereologica 50 : e040. (2025)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 13.25844

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