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Bioclimate analogue regions - finding present day examples for future bioclimatic conditions
Niels Döscher1, Julia Mietz2, Alexander Graf3
1Physical Geography and Climatology, Institute of Geography, RWTH Aachen University, Aachen, Germany. niels.doescher@rwth-aachen.de.
International Journal of Biometeorology
|October 14, 2025
Summary
Climate analogue regions were identified for Germany's Rhenish lignite mining area, anticipating future heat stress. Southern Europe, particularly the Gulf du Lion, shows the most similar climate conditions.
Area of Science:
- Climatology
- Regional Planning
- Environmental Science
Background:
- The Rhenish lignite mining area in western Germany is undergoing a significant structural transformation.
- Projected climate change, specifically increased heat stress, necessitates adaptation strategies for this region.
Purpose of the Study:
- To identify bioclimatic analogue regions for the Rhenish lignite mining area.
- To provide insights into potential future climate conditions based on current analogues.
Main Methods:
- Utilized climate analogue regions combined with a bioclimatic approach.
- Employed the Universal Thermal Climate Index (UTCI) with parameters including temperature, solar radiation, wind, and relative humidity.
- Analyzed an ensemble of 15 GCM-RCM model combinations from EURO-CORDEX data, considering 3-h temporal resolution and diurnal variations.
Main Results:
- Identified potential analogue regions primarily in southern Europe.
- The Gulf du Lion in southern France exhibited the highest climate similarity across the ensemble.
- Other regions, including areas near the Black Sea and south of Bordeaux, showed similarities in individual model results.
Conclusions:
- Southern Europe offers relevant climate analogues for the Rhenish lignite mining area's projected future.
- The study highlights the value of full-coverage data for detailed spatial analysis in climate analogue determination.
- Understanding present-day climate analogues is crucial for effective regional planning in areas facing structural changes.
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