Articles | Volume 17, issue 19
https://doi.org/10.5194/bg-17-4815-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-4815-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Risk of crop failure due to compound dry and hot extremes estimated with nested copulas
Andreia Filipa Silva Ribeiro
CORRESPONDING AUTHOR
Climate and Environmental Physics, University of Bern, Sidlerstrasse 5, 3012 Bern, Switzerland
Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016, Lisbon, Portugal
Ana Russo
Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016, Lisbon, Portugal
Célia Marina Gouveia
Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016, Lisbon, Portugal
Instituto Português do Mar e da Atmosfera, Lisbon, Portugal
Patrícia Páscoa
Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016, Lisbon, Portugal
Instituto Português do Mar e da Atmosfera, Lisbon, Portugal
Environmental Physics Laboratory (EPhysLab), University of Vigo, Ourense, Spain
Jakob Zscheischler
Climate and Environmental Physics, University of Bern, Sidlerstrasse 5, 3012 Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, 3012 Bern, Switzerland
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Latest update: 06 Dec 2024
Short summary
This study investigates the impacts of compound dry and hot extremes on crop yields, namely wheat and barley, over two regions in Spain dominated by rainfed agriculture. We provide estimates of the conditional probability of crop loss under compound dry and hot conditions, which could be an important tool for responsible authorities to mitigate the impacts magnified by the interactions between the different hazards.
This study investigates the impacts of compound dry and hot extremes on crop yields, namely...
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