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SiCLIMA: High-resolution hydroclimate and temperature dataset for Aragón (northeast Spain)
Roberto Serrano-Notivoli1, Miguel Ángel Saz1, Luis Alberto Longares1
1Departamento de Geografía y Ordenación del Territorio. Instituto Universitario de Investigación en Ciencias Ambientales de Aragón (IUCA), Universidad de Zaragoza, Pedro Cerbuna, 12, 50009 Zaragoza, Spain.
Data in Brief
|September 17, 2024
Summary
A high-resolution climate dataset for Aragón, Spain, offers daily precipitation and temperature data from 1950-2020. This detailed gridded data supports landscape-scale climate and environmental analyses.
Area of Science:
- Climatology
- Environmental Science
- Geospatial Analysis
Background:
- High-resolution climate data is crucial for understanding regional climate variability.
- Previous datasets lacked the spatial detail needed for Aragón's complex terrain.
- Over 3000 weather stations provided daily observations for this study.
Purpose of the Study:
- To develop a novel, high-resolution gridded climate dataset for Aragón, Spain.
- To enhance climate analysis capabilities at a landscape scale.
- To provide a valuable resource for hydrology, biogeography, and climate research.
Main Methods:
- A 3-step workflow involved data quality control, climate reconstruction using multivariate linear regressions, and gridded data prediction.
- Utilized daily precipitation and temperature observations from over 3000 weather stations.
- Employed local predictors and terrain-based variables to model climate in a complex orographic region.
Main Results:
- Generated a gridded dataset with unprecedented 0.25 km² spatial resolution for daily maximum/minimum temperatures and precipitation.
- The dataset covers the period from 1950 to 2020 for Aragón (approx. 48,000 km²).
- The methodology successfully addressed the challenges posed by Aragón's diverse topography (70–3,400 m a.s.l.).
Conclusions:
- The new dataset significantly improves the spatial representativity of climate in Aragón.
- Enables detailed landscape-scale analyses across various environmental disciplines.
- This resource is vital for informed decision-making in climate-sensitive fields.
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