Convection‐permitting dynamical downscaling of ERA5 for Europe and the Mediterranean basin

Abstract As the European continent and the Mediterranean Sea experience rapid warming trends and diverse manifestations of extreme weather, there is an urgent need to understand and mitigate the impacts of climate change in these regions. This study introduces the Computational Hydrometeorology with Advanced Performance to Enhanced Realism (CHAPTER) high‐resolution dynamical downscaling of the European Centre for Medium‐Range Weather Forecasts Reanalysis v5 (ERA5) global reanalysis made with the Weather Research and Forecasting numerical model. CHAPTER covers Europe and the Mediterranean basin at a convection‐resolving grid resolution of 3 km by 3 km. CHAPTER's performances in representing precipitation and temperature are evaluated compared to state‐of‐the‐art datasets like ERA5‐Land. The focus is put on seasonal spatial distributions of the bias and the root mean square error, and fuzzy verification techniques are used to validate the precipitation outputs. The results reveal that CHAPTER's performance aligns closely with well‐recognized downscalings of ERA5 but has, in addition, the advantage of providing a rich portfolio of variables at hourly temporal resolution and on different terrain, following model levels. Therefore, CHAPTER is a valuable resource for studying extreme weather events, offering insights crucial for climate change adaptation and mitigation efforts in Europe and the Mediterranean region.

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Publication Details

Journal
Quarterly Journal of the Royal Meteorological Society
Published
2025-05-26
DOI
https://doi.org/10.1002/qj.5014
Citations
9
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
9.95
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article

Convection‐permitting dynamical downscaling of ERA5 for Europe and the Mediterranean basin

Nazario Tartaglione, Martina Lagasio, Stephan Hachinger, Massimo Milelli et al.
9 citations
Quarterly Journal of the Royal Meteorological Society
Climate variability and models
9.95
article

Convection‐permitting dynamical downscaling of ERA5 for Europe and the Mediterranean basin

Nazario Tartaglione, Martina Lagasio, Stephan Hachinger, Massimo Milelli, Elena Oberto, Antonio Parodi, Dieter Kranzlmüller, Lisa Bernini
article en
9 citations

Abstract

Abstract As the European continent and the Mediterranean Sea experience rapid warming trends and diverse manifestations of extreme weather, there is an urgent need to understand and mitigate the impacts of climate change in these regions. This study introduces the Computational Hydrometeorology with Advanced Performance to Enhanced Realism (CHAPTER) high‐resolution dynamical downscaling of the European Centre for Medium‐Range Weather Forecasts Reanalysis v5 (ERA5) global reanalysis made with the Weather Research and Forecasting numerical model. CHAPTER covers Europe and the Mediterranean basin at a convection‐resolving grid resolution of 3 km by 3 km. CHAPTER's performances in representing precipitation and temperature are evaluated compared to state‐of‐the‐art datasets like ERA5‐Land. The focus is put on seasonal spatial distributions of the bias and the root mean square error, and fuzzy verification techniques are used to validate the precipitation outputs. The results reveal that CHAPTER's performance aligns closely with well‐recognized downscalings of ERA5 but has, in addition, the advantage of providing a rich portfolio of variables at hourly temporal resolution and on different terrain, following model levels. Therefore, CHAPTER is a valuable resource for studying extreme weather events, offering insights crucial for climate change adaptation and mitigation efforts in Europe and the Mediterranean region.

Quarterly Journal of the Royal Meteorological SocietyVol. 151(772)
Bavarian Academy of Sciences and Humanities (DE), CIMA Research Foundation (IT), Istituto Superiore per la Protezione e la Ricerca Ambientale (IT), Leibniz Supercomputing Centre (DE), Ludwig-Maximilians-Universität München (DE), University of Genoa (IT)
Openalex Percentile: Top 2%
Climate variability and models
9.95
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