Quantifying the impacts of compound extremes on agriculture

Haqiqi, Iman; Grogan, Danielle S.; Hertel, Thomas W.; Schlenker, Wolfram

doi:https://doi.org/10.5194/hess-25-551-2021

Articles | Volume 25, issue 2

https://doi.org/10.5194/hess-25-551-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Understanding compound weather and climate events and related...

https://doi.org/10.5194/hess-25-551-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 2

Research article

|

03 Feb 2021

Research article |

| 03 Feb 2021

Quantifying the impacts of compound extremes on agriculture

Iman Haqiqi, Danielle S. Grogan, Thomas W. Hertel, and Wolfram Schlenker

Supplement

https://doi.org/10.5194/hess-25-551-2021-supplement

Data sets

Data Sets for: Quantifying the Impacts of Compound Extremes on Agriculture and Irrigation Water Demand I. Haqiqi, D. S. Grogan, T. W. Hertel, and W. Schlenker https://doi.org/10.4231/0M14-EY38

Model code and software

Model Code for: Quantifying the Impacts of Compound Extremes on Agriculture and Irrigation Water Demand I. Haqiqi, D. S. Grogan, T. W. Hertel, and W. Schlenker https://doi.org/10.4231/Q07D-J369

Short summary

This study combines a fine-scale weather product with outputs of a hydrological model to construct functional metrics of individual and compound hydroclimatic extremes for agriculture. Then, a yield response function is estimated with individual and compound metrics focusing on corn in the United States during the 1981–2015 period. The findings suggest that metrics of compound hydroclimatic extremes are better predictors of corn yield variations than metrics of individual extremes.