Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Campus Alpin, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Mame Diarra Bousso Dieng
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Campus Alpin, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Campus Alpin, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Department of Ecology, University of Alicante, 03690 Sant Vicent del Raspeig, Alicante, Spain
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Campus Alpin, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Campus Alpin, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Harald Kunstmann
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Campus Alpin, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Institute of Geography, University of Augsburg, Alter Postweg 118, 86159 Augsburg, Germany
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Campus Alpin, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Institute of Geography, University of Augsburg, Alter Postweg 118, 86159 Augsburg, Germany
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Viewed (geographical distribution)
Total article views: 3,526 (including HTML, PDF, and XML)
Thereof 3,359 with geography defined
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Total article views: 2,302 (including HTML, PDF, and XML)
Thereof 2,217 with geography defined
and 85 with unknown origin.
Total article views: 1,224 (including HTML, PDF, and XML)
Thereof 1,142 with geography defined
and 82 with unknown origin.
We applied a multivariate and dependency-preserving bias correction method to climate model output for the Greater Mediterranean Region and investigated potential changes in false-spring events (FSEs) and heat–drought compound events (HDCEs). Results project an increase in the frequency of FSEs in middle and late spring as well as increases in frequency, intensity, and duration for HDCEs. This will potentially aggravate the risk of crop loss and failure and negatively impact food security.
We applied a multivariate and dependency-preserving bias correction method to climate model...
