Articles | Volume 14, issue 13
https://doi.org/10.5194/bg-14-3309-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-14-3309-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Bivariate return periods of temperature and precipitation explain a large fraction of European crop yields
Jakob Zscheischler
CORRESPONDING AUTHOR
Institute for Atmospheric and Climate Science, ETH Zurich, Universitätstrasse 16, 8092
Zurich, Switzerland
Rene Orth
Institute for Atmospheric and Climate Science, ETH Zurich, Universitätstrasse 16, 8092
Zurich, Switzerland
Sonia I. Seneviratne
Institute for Atmospheric and Climate Science, ETH Zurich, Universitätstrasse 16, 8092
Zurich, Switzerland
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58 citations as recorded by crossref.
- Impacts of extreme climate on nitrogen loss in different forms and pollution risk with the copula model J. Hu et al. 10.1016/j.jhydrol.2023.129412
- A Quantitative Analysis of the Influence of Temperature Change on the Extreme Precipitation W. Zhu et al. 10.3390/atmos13040612
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- A copula based bi-variate model for temperature and rainfall processes N. Dzupire et al. 10.1016/j.sciaf.2020.e00365
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- Impact of a transformation from flood to drip irrigation on groundwater recharge and nitrogen leaching under variable climatic conditions S. Pool et al. 10.1016/j.scitotenv.2022.153805
- Climate warming and summer monsoon breaks drive compound dry and hot extremes in India A. Rajeev et al. 10.1016/j.isci.2022.105377
- Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. 10.1016/j.earscirev.2022.104241
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- The responses of ecological indicators to compound extreme climate indices in Southwestern China Q. Lu et al. 10.1016/j.ecolind.2023.111253
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- Automatized spatio-temporal detection of drought impacts from newspaper articles using natural language processing and machine learning J. Sodoge et al. 10.1016/j.wace.2023.100574
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- Dry spells and global crop production: A multi-stressor and multi-timescale analysis U. Jarrett et al. 10.1016/j.ecolecon.2022.107627
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- Vulnerability of hop‐yields due to compound drought and heat events over European key‐hop regions V. Potopová et al. 10.1002/joc.6836
3 citations as recorded by crossref.
- Increased probability of compound long-duration dry and hot events in Europe during summer (1950–2013) C. Manning et al. 10.1088/1748-9326/ab23bf
- Increasing compound events of extreme hot and dry days during growing seasons of wheat and maize in China Y. Lu et al. 10.1038/s41598-018-34215-y
- Application of hydroclimatic drought indicators in the transboundary Prut River basin V. Potopová et al. 10.1007/s00704-019-02789-w
Latest update: 23 Apr 2024
Short summary
We use newly established methods to compute bivariate return periods of temperature and precipitation and relate those to crop yield variability in Europe. Most often, crop yields are lower when it is hot and dry and higher when it is cold and wet. The variability in crop yields along a specific climate gradient can be captured well by return periods aligned with these gradients. This study provides new possibilities for investigating the relationship between crop yield variability and climate.
We use newly established methods to compute bivariate return periods of temperature and...
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