A large-ensemble simulation of yields and meteorological drivers to evaluate spatial compounding crop failures in Europe
Authors/Creators
- 1. Institute for Atmospheric and Climate Science, Department of Environmental Systems Science, ETH Zurich, Universitätstrasse 16, 8092 Zurich, Switzerland
- 2. Research Center for Statistics, University of Geneva, 24 rue du Général-Dufour, Geneva 1211
- 3. Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands
- 4. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
- 5. Oeschger Centre for Climate Change Research and Institute of Geography, University of Bern, Bern, Switzerland
- 6. Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
Description
The dataset consists of a subset from Vogel et al. (2021), comprising large-ensemble simulations of winter wheat yields aggregated at the country level for 20 European countries. The winter wheat yields were simulated by the APSIM-Wheat model (version 7.10) (Zhang et al. 2014) driven by meteorological data from the EC-Earth global climate model (Hazeleger et al., 2010; Van der Wiel et al., 2019). To investigate meteorological drivers of crop failure, the dataset also includes monthly means of daily precipitation, vapour pressure deficit, and maximum temperature fields, of two leading European producers, i.e. France and Germany. For more details, see the description in Vogel et al. (2021).
By using this data, you also agree to cite the reference below:
Vogel, J., Rivoire, P., Deidda, C., Rahimi, L., Sauter, C. A., Tschumi, E., van der Wiel, K., Zhang, T., Zscheischler, J. (2021). Identifying meteorological drivers of extreme impacts: an application to simulated crop yields. Earth System Dynamics,12(1),151-172.
Files
README.txt
Files
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Additional details
References
- Hazeleger, W., Wang, X., Severijns, C., ¸Stefanescu, S., Bintanja, R., Sterl, A., Wyser, K., Semmler, T., Yang, S., Van den Hurk, B., et al. (2012). EC-Earth V2.2: description and validation of a new seamless earth system prediction model, Climate dynamics, 39, 2611–2629, https://doi.org/10.1007/s00382-011-1228-5
- Zheng, B., Chenu, K., Doherty, A., and Chapman, S. (2014). The APSIM-wheat module (7.5 R3008), Agricultural Production Systems Simulator (APSIM) Initiative, 615
- Van der Wiel, K., Wanders, N., Selten, F., and Bierkens, M. (2019). Added value of large ensemble simulations for assessing extreme river discharge in a 2 ◦C warmer world, Geophysical Research Letters, 46, 2093–2102, https://doi.org/10.1029/2019GL081967
- Vogel, J., Rivoire, P., Deidda, C., Rahimi, L., Sauter, C. A., Tschumi, E., van der Wiel, K., Zhang, T., Zscheischler, J. (2021). Identifying meteorological drivers of extreme impacts: an application to simulated crop yields. Earth System Dynamics,12(1),151-172, https://doi.org/10.5194/esd-12-151-2021