Optimal automatic enhanced ERA5 daily precipitation data for environmental and agricultural monitoring tools in scarce data regions
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...
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| Format: | Artículo |
| Language: | Inglés |
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Springer
2023
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| Online Access: | 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 |
| _version_ | 1855485721133973504 |
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| author | Perri, Daiana Vanesa Hurtado, Santiago Ignacio Bruzzone, Octavio Augusto Easdale, Marcos Horacio |
| author_browse | Bruzzone, Octavio Augusto Easdale, Marcos Horacio Hurtado, Santiago Ignacio Perri, Daiana Vanesa |
| author_facet | Perri, Daiana Vanesa Hurtado, Santiago Ignacio Bruzzone, Octavio Augusto Easdale, Marcos Horacio |
| author_sort | Perri, Daiana Vanesa |
| collection | INTA Digital |
| 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 |
| format | Artículo |
| id | INTA16238 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | INTA162382023-12-14T16:58:26Z Optimal automatic enhanced ERA5 daily precipitation data for environmental and agricultural monitoring tools in scarce data regions Perri, Daiana Vanesa Hurtado, Santiago Ignacio Bruzzone, Octavio Augusto Easdale, Marcos Horacio Vigilancia Ambiental Agricultura Precipitación Atmosférica Sequía Environmental Monitoring Agriculture Precipitation Drought ERA5 Herramientas de Monitoreo Región Patagónica 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 2023-12-14T14:44:39Z 2023-12-14T14:44:39Z 2023-11-10 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng 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 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) application/pdf Patagonia .......... (general region) (World, South America, Argentina) 7016766 Springer Theoretical and Applied Climatology 154. (November 2023) |
| spellingShingle | Vigilancia Ambiental Agricultura Precipitación Atmosférica Sequía Environmental Monitoring Agriculture Precipitation Drought ERA5 Herramientas de Monitoreo Región Patagónica Perri, Daiana Vanesa Hurtado, Santiago Ignacio Bruzzone, Octavio Augusto Easdale, Marcos Horacio 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 |
| 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_short | 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 |
| topic | Vigilancia Ambiental Agricultura Precipitación Atmosférica Sequía Environmental Monitoring Agriculture Precipitation Drought ERA5 Herramientas de Monitoreo Región Patagónica |
| 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 |
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