EGU2020-3498, updated on 12 Jun 2020
https://doi.org/10.5194/egusphere-egu2020-3498
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

BigData@Geo: A Climate Atlas for Lower Franconia (Germany)

Daniel Schönbein, Luzia Keupp, Felix Pollinger, and Heiko Paeth
Daniel Schönbein et al.
  • University of Würzburg, Geography and Geology, Physical Geography, Germany (daniel.schoenbein@uni-wuerzburg.de)

Within the frame of BigData@Geo, a collaborative EFRE-funded project between the University of Würzburg and several medium-sized companies in regional pomi- and viticulture, a webportal similar to a climate-atlas is built. An Ensemble of six RCM/GCM-Couples from EURO-CORDEX with EUR-11 resolution is therefore retrieved. After a Nearest-Neighbour-Remap onto a 1x1km-grid within Lower Franconia (Bavaria, Germany), a linear bias-correction of air-temperature and precipitation is executed. The applied method calibrates mean seasonal cycles for the reference period 1970-1999 using gridded observation data from the German Weather Service. Subsequently, climatic tendecies of seasonal temperature and precipitation as well as various derived indizes (e.g. frostdays, hot days, tropical nights, vegetation period, huglin index) are evaluated along emission pathways rcp45 and rcp85 during the 21st century.

How to cite: Schönbein, D., Keupp, L., Pollinger, F., and Paeth, H.: BigData@Geo: A Climate Atlas for Lower Franconia (Germany), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3498, https://doi.org/10.5194/egusphere-egu2020-3498, 2020

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