Sigma Coefficient of Yield Volatility: A Global Dataset of Irrigated and Rainfed Corn Yield Volatility Based on NEX-GDDP-CMIP6

By Iman Haqiqi

Purdue University

This global dataset provides the estimated volatility of corn yields due to heat stress for 20 climate models in NEX-GDDP-CMIP6 data at 0.25-degree resolution.

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Version 1.0 - published on 24 Sep 2024 doi:10.13019/EYBP-QB57 - cite this

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Description

Description

This global dataset provides the estimated volatility of corn yields due to heat stress for 20 climate models in NEX-GDDP-CMIP6 data at 0.25-degree resolution. To quantify volatility in crop yields across different locations and climate scenarios, the standard deviation (SD) of the year-on-year yield ratio is employed. This approach captures the year-to-year fluctuations in the production of corn.

  • Sigma Coefficient of Yield Volatility for Irrigated Corn- Historical 
  • Sigma Coefficient of Yield Volatility for Irrigated Corn- SSP245 
  • Sigma Coefficient of Yield Volatility for Rainfed Corn- Historical
  • Sigma Coefficient of Yield Volatility for Rainfed Corn- SSP245 

The SD is calculated over 1985-2014 for the historical period and over 2035-2064 for future projections. A full description of the methods can be found at:

 Haqiqi .2024. Trade can buffer climate-induced risks and volatilities in crop supply. Environ. Res.: Food Syst. https://doi.org/10.1088/2976-601X/ad7d12

 

Acknowledgments

This work was supported by the US Department of Energy, Office of Science, Biological and Environmental Research Program, Earth and Environmental Systems Modeling, MultiSector Dynamics under Cooperative Agreement DE-SC0022141. The data processing, computation, and storage were completed on Purdue Anvil supercomputer and cyberinfrastructure supported by the National Science Foundation HDR award # 2118329: "NSF Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE).

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v1.0 for NEX-GDDP-CMIP6