Articles | Volume 12, issue 4
Earth Syst. Sci. Data, 12, 3097–3112, 2020
Earth Syst. Sci. Data, 12, 3097–3112, 2020
Data description paper
02 Dec 2020
Data description paper | 02 Dec 2020

BAYWRF: a high-resolution present-day climatological atmospheric dataset for Bavaria

Emily Collier and Thomas Mölg

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Cited articles

Ban, N., Schmidli, J., and Schär, C.: Evaluation of the convection-resolving regional climate modeling approach in decade-long simulations, J. Geophys. Res., 119, 7889–7907,, 2014. 
Berg, P., Wagner, S., Kunstmann, H., and Schädler, G.: High resolution regional climate model simulations for Germany: Part I-validation, Clim. Dynam., 40, 401–414,, 2013. 
Beyer, M.: Hitzewelle Sommer 2018 – Einordnung und Ausblick, available at: (last access: 1 August 2019), 2018. 
Bowden, J. H., Nolte, C. G., and Otte, T. L.: Simulating the impact of the large-scale circulation on the 2-m temperature and precipitation climatology, Clim. Dynam., 40, 1903–1920,, 2013. 
Bräuning, A., De Ridder, M., Zafirov, N., García-González, I., Dimitrov, D. P., and Gärtner, H.: TREE-RING FEATURES: INDICATORS of EXTREME EVENT IMPACTS, IAWA J., 37, 206–231,, 2016. 
Short summary
As part of a recent project that aims to investigate the impact of climate change on forest ecosystems in Bavaria, we developed a high-resolution atmospheric dataset, BAYWRF, for this region that covers the period of September 1987 to August 2018. The data reproduce observed variability in recent meteorological conditions well and provide a useful tool for linking large-scale climate change to local impacts on economic, societal, ecological, and agricultural processes.