%0 Journal Article %1 Paeth2023 %A Paeth, Heiko %A Schönbein, Daniel %A Keupp, Luzia %A Abel, Daniel %A Bangelesa, Freddy %A Baumann, Miriam %A Büdel, Christian %A Hartmann, Christian %A Kneisel, Christof %A Kobs, Konstantin %A Krause, Julian %A Krech, Martin %A Pollinger, Felix %A Schäfer, Christian %A Steininger, Michael %A Terhorst, Birgit %A Ullmann, Tobias %A Wilde, Martina %A Ziegler, Katrin %A Zimanowski, Bernd %A Baumhauer, Roland %A Hotho, Andreas %D 2023 %J Climatic Change %K article myown %N 10 %P 136 %R 10.1007/s10584-023-03613-1 %T Climate change information tailored to the agricultural sector in Central Europe, exemplified on the region of Lower Franconia %U https://doi.org/10.1007/s10584-023-03613-1 %V 176 %X There is a growing societal, economic, and political demand to translate available data on regional climate change into sector-specific, practice-oriented, and user-friendly information. The study presents a demand-driven approach to specify the impacts of regional climate change on agriculture, viticulture, and fruit and vegetable growing in Lower Franconia, southern Germany, a region with heterogeneous topography, diversified land use patterns, and intense activities in the sectors specified above. The approach is based on an ensemble of high-resolution regional climate model projections, a bias correction tool, and a large spectrum of meteorological (extreme) indicators that are crucial to the agricultural sector in Central Europe, as inferred from a stakeholder survey.

@article{Paeth2023, abstract = {There is a growing societal, economic, and political demand to translate available data on regional climate change into sector-specific, practice-oriented, and user-friendly information. The study presents a demand-driven approach to specify the impacts of regional climate change on agriculture, viticulture, and fruit and vegetable growing in Lower Franconia, southern Germany, a region with heterogeneous topography, diversified land use patterns, and intense activities in the sectors specified above. The approach is based on an ensemble of high-resolution regional climate model projections, a bias correction tool, and a large spectrum of meteorological (extreme) indicators that are crucial to the agricultural sector in Central Europe, as inferred from a stakeholder survey.}, added-at = {2023-12-22T15:18:57.000+0100}, author = {Paeth, Heiko and Sch{\"o}nbein, Daniel and Keupp, Luzia and Abel, Daniel and Bangelesa, Freddy and Baumann, Miriam and B{\"u}del, Christian and Hartmann, Christian and Kneisel, Christof and Kobs, Konstantin and Krause, Julian and Krech, Martin and Pollinger, Felix and Sch{\"a}fer, Christian and Steininger, Michael and Terhorst, Birgit and Ullmann, Tobias and Wilde, Martina and Ziegler, Katrin and Zimanowski, Bernd and Baumhauer, Roland and Hotho, Andreas}, biburl = {https://www.bibsonomy.org/bibtex/2d4e77db90b7ea6de73644849367f1200/fepo}, day = 29, doi = {10.1007/s10584-023-03613-1}, interhash = {495be3e910777112ab027986877509b9}, intrahash = {d4e77db90b7ea6de73644849367f1200}, issn = {1573-1480}, journal = {Climatic Change}, keywords = {article myown}, month = sep, number = 10, pages = 136, timestamp = {2023-12-22T15:20:26.000+0100}, title = {Climate change information tailored to the agricultural sector in Central Europe, exemplified on the region of Lower Franconia}, url = {https://doi.org/10.1007/s10584-023-03613-1}, volume = 176, year = 2023 }