Intercomparison of Daily Maximum and Minimum Temperature Gridded Products Over Mainland Spain

ABSTRACT The sensitivity to the observational reference has been reported in recent studies, highlighting the importance of observational uncertainty in climate research. These studies stress the importance of properly comparing available datasets, recognising their respective strengths and limitations. Here, we conduct a comprehensive analysis of the various datasets of maximum and minimum daily temperatures available for mainland Spain. We examined 10 publicly available daily gridded datasets of maximum and minimum temperatures, analysing multiple evaluation dimensions to identify the key strengths and limitations of each dataset: statistical distribution, extreme events, temporal structure and spells and spatial patterns. We conclude that observational uncertainty is greater for minimum temperatures than for maximum temperatures. This uncertainty is not strictly linked to the type of dataset (interpolation, analysis or reanalysis) or its spatial domain (national, European or global) but rather to specific datasets which vary depending on the analysis dimension. Overall, the most stable dataset across all evaluated indices is STEAD, whereas the PTI‐Clima v0 dataset exhibits some underestimation of extremes and spells but performs well in capturing central parameters and temporal correlations.

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Publication Details

Journal
International Journal of Climatology
Published
2025-09-27
DOI
https://doi.org/10.1002/joc.70111
Primary Topic
Climate variability and models
Type
article
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article

Intercomparison of Daily Maximum and Minimum Temperature Gridded Products Over Mainland Spain

Maialen Iturbide, Candelas Peral, Sixto Herrera, Juan Luís Garrido et al.
International Journal of Climatology
Climate variability and models
article

Intercomparison of Daily Maximum and Minimum Temperature Gridded Products Over Mainland Spain

Maialen Iturbide, Candelas Peral, Sixto Herrera, Juan Luís Garrido, Pere Quintana‐Seguí, Santiago Beguerı́a, Ana Morata, Estefanía Rodríguez, Fidel González Rouco, José Marı́a Gutiérrez, Roberto Serrano‐Notivoli
article en

Abstract

ABSTRACT The sensitivity to the observational reference has been reported in recent studies, highlighting the importance of observational uncertainty in climate research. These studies stress the importance of properly comparing available datasets, recognising their respective strengths and limitations. Here, we conduct a comprehensive analysis of the various datasets of maximum and minimum daily temperatures available for mainland Spain. We examined 10 publicly available daily gridded datasets of maximum and minimum temperatures, analysing multiple evaluation dimensions to identify the key strengths and limitations of each dataset: statistical distribution, extreme events, temporal structure and spells and spatial patterns. We conclude that observational uncertainty is greater for minimum temperatures than for maximum temperatures. This uncertainty is not strictly linked to the type of dataset (interpolation, analysis or reanalysis) or its spatial domain (national, European or global) but rather to specific datasets which vary depending on the analysis dimension. Overall, the most stable dataset across all evaluated indices is STEAD, whereas the PTI‐Clima v0 dataset exhibits some underestimation of extremes and spells but performs well in capturing central parameters and temporal correlations.

International Journal of ClimatologyVol. 45(14)
Agencia Estatal de Meteorología (ES), Universidad de Cantabria (ES), Universidad de Zaragoza (ES), Observatori de l'Ebre (ES), Estación Experimental de Aula Dei (ES), Instituto de Física de Cantabria (ES), Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (ES), Universitat Ramon Llull (ES)
Openalex Percentile: Top 75%
Climate variability and models
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