Optimal automatic enhanced ERA5 daily precipitation data for environmental and agricultural monitoring tools in scarce data regions

Autores
Perri, Daiana Vanesa; Hurtado, Santiago Ignacio; Bruzzone, Octavio Augusto; Easdale, Marcos Horacio
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The development of monitoring and early warning tools for environmental and agricultural applications is highly restricted in scarce climate data regions. In particular, precipitation data is a key input for several environmental monitoring tools on which decision-makers rely. However, precipitation records are collected by rain gauge stations, but these are frequently inhomogeneous and scarce in some regions of the world, especially in South America and Africa. In such cases, the use of alternative precipitation data sources is necessary to correctly assess its spatial and temporal variations. Therefore, we evaluate the possibility of using the ERA5 data with diferent automatic enhancement methods. Three adjustment approaches were evaluated in Northern Patagonia, which is an example of a scarce data area: (1) modifying the ERA5 daily data with three diferent regression models, one depending on lag and lead days, a distributed lag model, and a simple linear regression model, (2) detecting the lower time window of precipitation accumulation that can represent the observed precipitation variations, and (3) determining a window size and cut-of frequency of a low-pass flter to have data that represent well the low-frequency variation. The lag-distributed models improved the ERA5 data precipitation. A combination of approaches 1 and 2 showed the best performance for enhancing the ERA5 precipitation data, with a minimum of 6-day time window accumulation. However, this enhanced performance is not spatially homogeneous and it is poor in the northeastern region. This tool allows the use of data from ERA5 in sites where daily precipitation input data is scarce or inaccurate for diferent environmental and agricultural applications aimed at ofering permanent and updated information, such as monitoring drought, food, wildfre risk, or pest outbreaks. These applications are key to reducing ecosystem, production, and infrastructure loss in regions where climate data is a strong restriction
EEA Bariloche
Fil: Perri, Daiana Vanesa. Instituto Nacional de Tecnologia Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Área de Recursos Naturales; Argentina
Fil: Perri, Daiana Vanesa. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Hurtado, Santiago Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Área de Recursos Naturales; Argentina
Fil: Hurtado, Santiago Ignacio. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Bruzzone, Octavio Augusto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
Fil: Bruzzone, Octavio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Easdale, Marcos Horacio. Instituto Nacional de Tecnologia Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Área de Recursos Naturales; Argentina
Fil: Easdale, Marcos Horacio. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fuente
Theoretical and Applied Climatology 154. (November 2023)
Materia
Vigilancia Ambiental
Agricultura
Precipitación Atmosférica
Sequía
Environmental Monitoring
Agriculture
Precipitation
Drought
ERA5
Herramientas de Monitoreo
Región Patagónica
Nivel de accesibilidad
acceso restringido
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:20.500.12123/16238
Acceder
id INTADig_ba274869f5a0dcab08ab8fbf7feba5b8
oai_identifier_str oai:localhost:20.500.12123/16238
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Optimal automatic enhanced ERA5 daily precipitation data for environmental and agricultural monitoring tools in scarce data regionsPerri, Daiana VanesaHurtado, Santiago IgnacioBruzzone, Octavio AugustoEasdale, Marcos HoracioVigilancia AmbientalAgriculturaPrecipitación AtmosféricaSequíaEnvironmental MonitoringAgriculturePrecipitationDroughtERA5Herramientas de MonitoreoRegión PatagónicaThe development of monitoring and early warning tools for environmental and agricultural applications is highly restricted in scarce climate data regions. In particular, precipitation data is a key input for several environmental monitoring tools on which decision-makers rely. However, precipitation records are collected by rain gauge stations, but these are frequently inhomogeneous and scarce in some regions of the world, especially in South America and Africa. In such cases, the use of alternative precipitation data sources is necessary to correctly assess its spatial and temporal variations. Therefore, we evaluate the possibility of using the ERA5 data with diferent automatic enhancement methods. Three adjustment approaches were evaluated in Northern Patagonia, which is an example of a scarce data area: (1) modifying the ERA5 daily data with three diferent regression models, one depending on lag and lead days, a distributed lag model, and a simple linear regression model, (2) detecting the lower time window of precipitation accumulation that can represent the observed precipitation variations, and (3) determining a window size and cut-of frequency of a low-pass flter to have data that represent well the low-frequency variation. The lag-distributed models improved the ERA5 data precipitation. A combination of approaches 1 and 2 showed the best performance for enhancing the ERA5 precipitation data, with a minimum of 6-day time window accumulation. However, this enhanced performance is not spatially homogeneous and it is poor in the northeastern region. This tool allows the use of data from ERA5 in sites where daily precipitation input data is scarce or inaccurate for diferent environmental and agricultural applications aimed at ofering permanent and updated information, such as monitoring drought, food, wildfre risk, or pest outbreaks. These applications are key to reducing ecosystem, production, and infrastructure loss in regions where climate data is a strong restrictionEEA BarilocheFil: Perri, Daiana Vanesa. Instituto Nacional de Tecnologia Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Área de Recursos Naturales; ArgentinaFil: Perri, Daiana Vanesa. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Hurtado, Santiago Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Área de Recursos Naturales; ArgentinaFil: Hurtado, Santiago Ignacio. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Bruzzone, Octavio Augusto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; ArgentinaFil: Bruzzone, Octavio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Easdale, Marcos Horacio. Instituto Nacional de Tecnologia Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Área de Recursos Naturales; ArgentinaFil: Easdale, Marcos Horacio. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaSpringer2023-12-14T14:44:39Z2023-12-14T14:44:39Z2023-11-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/16238https://link.springer.com/article/10.1007/s00704-023-04730-81434-44830177-798Xhttps://doi.org/10.1007/s00704-023-04730-8Theoretical and Applied Climatology 154. (November 2023)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/2023-PD-L02-I091, Adaptación a la variabilidad y al cambio global: herramientas para la gestión de riesgos, la reducción de impactos y el aumento de la resiliencia de socioecosistemasPatagonia .......... (general region) (World, South America, Argentina)7016766info:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-29T13:46:15Zoai:localhost:20.500.12123/16238instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:46:16.43INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Optimal automatic enhanced ERA5 daily precipitation data for environmental and agricultural monitoring tools in scarce data regions
title Optimal automatic enhanced ERA5 daily precipitation data for environmental and agricultural monitoring tools in scarce data regions
spellingShingle Optimal automatic enhanced ERA5 daily precipitation data for environmental and agricultural monitoring tools in scarce data regions
Perri, Daiana Vanesa
Vigilancia Ambiental
Agricultura
Precipitación Atmosférica
Sequía
Environmental Monitoring
Agriculture
Precipitation
Drought
ERA5
Herramientas de Monitoreo
Región Patagónica
title_short Optimal automatic enhanced ERA5 daily precipitation data for environmental and agricultural monitoring tools in scarce data regions
title_full Optimal automatic enhanced ERA5 daily precipitation data for environmental and agricultural monitoring tools in scarce data regions
title_fullStr Optimal automatic enhanced ERA5 daily precipitation data for environmental and agricultural monitoring tools in scarce data regions
title_full_unstemmed Optimal automatic enhanced ERA5 daily precipitation data for environmental and agricultural monitoring tools in scarce data regions
title_sort Optimal automatic enhanced ERA5 daily precipitation data for environmental and agricultural monitoring tools in scarce data regions
dc.creator.none.fl_str_mv Perri, Daiana Vanesa
Hurtado, Santiago Ignacio
Bruzzone, Octavio Augusto
Easdale, Marcos Horacio
author Perri, Daiana Vanesa
author_facet Perri, Daiana Vanesa
Hurtado, Santiago Ignacio
Bruzzone, Octavio Augusto
Easdale, Marcos Horacio
author_role author
author2 Hurtado, Santiago Ignacio
Bruzzone, Octavio Augusto
Easdale, Marcos Horacio
author2_role author
author
author
dc.subject.none.fl_str_mv Vigilancia Ambiental
Agricultura
Precipitación Atmosférica
Sequía
Environmental Monitoring
Agriculture
Precipitation
Drought
ERA5
Herramientas de Monitoreo
Región Patagónica
topic Vigilancia Ambiental
Agricultura
Precipitación Atmosférica
Sequía
Environmental Monitoring
Agriculture
Precipitation
Drought
ERA5
Herramientas de Monitoreo
Región Patagónica
dc.description.none.fl_txt_mv The development of monitoring and early warning tools for environmental and agricultural applications is highly restricted in scarce climate data regions. In particular, precipitation data is a key input for several environmental monitoring tools on which decision-makers rely. However, precipitation records are collected by rain gauge stations, but these are frequently inhomogeneous and scarce in some regions of the world, especially in South America and Africa. In such cases, the use of alternative precipitation data sources is necessary to correctly assess its spatial and temporal variations. Therefore, we evaluate the possibility of using the ERA5 data with diferent automatic enhancement methods. Three adjustment approaches were evaluated in Northern Patagonia, which is an example of a scarce data area: (1) modifying the ERA5 daily data with three diferent regression models, one depending on lag and lead days, a distributed lag model, and a simple linear regression model, (2) detecting the lower time window of precipitation accumulation that can represent the observed precipitation variations, and (3) determining a window size and cut-of frequency of a low-pass flter to have data that represent well the low-frequency variation. The lag-distributed models improved the ERA5 data precipitation. A combination of approaches 1 and 2 showed the best performance for enhancing the ERA5 precipitation data, with a minimum of 6-day time window accumulation. However, this enhanced performance is not spatially homogeneous and it is poor in the northeastern region. This tool allows the use of data from ERA5 in sites where daily precipitation input data is scarce or inaccurate for diferent environmental and agricultural applications aimed at ofering permanent and updated information, such as monitoring drought, food, wildfre risk, or pest outbreaks. These applications are key to reducing ecosystem, production, and infrastructure loss in regions where climate data is a strong restriction
EEA Bariloche
Fil: Perri, Daiana Vanesa. Instituto Nacional de Tecnologia Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Área de Recursos Naturales; Argentina
Fil: Perri, Daiana Vanesa. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Hurtado, Santiago Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Área de Recursos Naturales; Argentina
Fil: Hurtado, Santiago Ignacio. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Bruzzone, Octavio Augusto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
Fil: Bruzzone, Octavio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Easdale, Marcos Horacio. Instituto Nacional de Tecnologia Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Área de Recursos Naturales; Argentina
Fil: Easdale, Marcos Horacio. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
description The development of monitoring and early warning tools for environmental and agricultural applications is highly restricted in scarce climate data regions. In particular, precipitation data is a key input for several environmental monitoring tools on which decision-makers rely. However, precipitation records are collected by rain gauge stations, but these are frequently inhomogeneous and scarce in some regions of the world, especially in South America and Africa. In such cases, the use of alternative precipitation data sources is necessary to correctly assess its spatial and temporal variations. Therefore, we evaluate the possibility of using the ERA5 data with diferent automatic enhancement methods. Three adjustment approaches were evaluated in Northern Patagonia, which is an example of a scarce data area: (1) modifying the ERA5 daily data with three diferent regression models, one depending on lag and lead days, a distributed lag model, and a simple linear regression model, (2) detecting the lower time window of precipitation accumulation that can represent the observed precipitation variations, and (3) determining a window size and cut-of frequency of a low-pass flter to have data that represent well the low-frequency variation. The lag-distributed models improved the ERA5 data precipitation. A combination of approaches 1 and 2 showed the best performance for enhancing the ERA5 precipitation data, with a minimum of 6-day time window accumulation. However, this enhanced performance is not spatially homogeneous and it is poor in the northeastern region. This tool allows the use of data from ERA5 in sites where daily precipitation input data is scarce or inaccurate for diferent environmental and agricultural applications aimed at ofering permanent and updated information, such as monitoring drought, food, wildfre risk, or pest outbreaks. These applications are key to reducing ecosystem, production, and infrastructure loss in regions where climate data is a strong restriction
publishDate 2023
dc.date.none.fl_str_mv 2023-12-14T14:44:39Z
2023-12-14T14:44:39Z
2023-11-10
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/20.500.12123/16238
https://link.springer.com/article/10.1007/s00704-023-04730-8
1434-4483
0177-798X
https://doi.org/10.1007/s00704-023-04730-8
url http://hdl.handle.net/20.500.12123/16238
https://link.springer.com/article/10.1007/s00704-023-04730-8
https://doi.org/10.1007/s00704-023-04730-8
identifier_str_mv 1434-4483
0177-798X
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repograntAgreement/INTA/2023-PD-L02-I091, Adaptación a la variabilidad y al cambio global: herramientas para la gestión de riesgos, la reducción de impactos y el aumento de la resiliencia de socioecosistemas
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
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 restrictedAccess
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.coverage.none.fl_str_mv Patagonia .......... (general region) (World, South America, Argentina)
7016766
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv Theoretical and Applied Climatology 154. (November 2023)
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 12.559606

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