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However, accurate evapotranspiration estimation requires spatially well-distributed continuous meteorological data to capture regional variations, and reanalysis datasets are valuable tools for this purpose. In this context, this study aimed to assess the performance of the Copernicus European Regional ReAnalysis (CERRA) dataset in the western Iberian Peninsula, focusing on Portugal and Galicia (Spain). Meteorological data (air temperature, relative humidity, solar radiation, and wind speed) from several surface stations were used to analyze the differences between the observations and CERRA hindcasts. The reference evapotranspiration (\n                    <jats:italic>ET<\/jats:italic>\n                    <jats:sub>\n                      <jats:italic>o<\/jats:italic>\n                    <\/jats:sub>\n                    ) was then computed for both datasets to estimate CERRA\u2019s consistency and accuracy. The results revealed that CERRA data strongly correlated with the observational data, accurately capturing the spatial and temporal atmospheric patterns. Daily air temperature was the most accurately represented variable, followed by relative humidity, solar radiation, and wind speed.\n                    <jats:italic>ET<\/jats:italic>\n                    <jats:sub>\n                      <jats:italic>o<\/jats:italic>\n                    <\/jats:sub>\n                    estimates from the CERRA dataset were closely aligned with observations. The high spatial resolution of CERRA enabled an accurate representation of the regional climatic variations, addressing the weaknesses found in other reanalysis datasets, particularly in coastal areas influenced by land\u2012sea interactions. The findings of this study indicate that CERRA is a highly valuable database for climate studies to validate the results of regional climate models with high resolution. These models are essential for developing effective adaptation and mitigation strategies to address agricultural planning and management in response to climate-related challenges.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Graphical Abstract<\/jats:bold>\n                  <\/jats:p>\n                  <jats:p>\n                    In this study, the performance of the Copernicus European Regional ReAnalysis (CERRA) dataset in replicating atmospheric variables and reference evapotranspiration (ET\n                    <jats:sub>o<\/jats:sub>\n                    ) for agrometeorological applications in the western Iberian Peninsula was assessed. CERRA hindcasts were compared with meteorological observations (minimum and maximum air temperature, relative humidity, wind speed, and solar radiation) from surface stations using Taylor diagrams, box plots, scatter plots, and the Kling\u2013Gupta efficiency (\n                    <jats:italic>KGE<\/jats:italic>\n                    ) metric for validation. The ET\n                    <jats:sub>o<\/jats:sub>\n                    was subsequently computed for both datasets. The results indicate strong correlations between CERRA and observational data, with CERRA effectively reproducing spatial and temporal patterns. ET\n                    <jats:sub>o<\/jats:sub>\n                    estimates from the CERRA dataset closely align with observations. This study emphasizes the ability of CERRA to accurately represent regional climatic variations because of its high spatial resolution, overcoming the limitations of other reanalysis datasets, particularly in coastal zones. The results suggest that CERRA is a valuable asset for climate studies, validation of high-resolution regional climate models, water resource management, and agricultural planning.\n                  <\/jats:p>","DOI":"10.1007\/s41748-025-00998-0","type":"journal-article","created":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T08:00:40Z","timestamp":1768291240000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Validating the CERRA Dataset for Agrometeorological Applications in the Western Iberian Peninsula"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2291-5549","authenticated-orcid":false,"given":"Humberto","family":"Pereira","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3837-1742","authenticated-orcid":false,"given":"Ines","family":"Alvarez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5302-8312","authenticated-orcid":false,"given":"Maria Nieves","family":"Lorenzo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8685-5194","authenticated-orcid":false,"given":"Ana","family":"Picado","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2575-3263","authenticated-orcid":false,"given":"Magda C.","family":"Sousa","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7613-6241","authenticated-orcid":false,"given":"Jo\u00e3o Miguel","family":"Dias","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,1,13]]},"reference":[{"key":"998_CR1","unstructured":"Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration \u2013 Guidelines for computing crop water requirements (FAO Irrigation and Drainage Paper No. 56). 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