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Statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on U.S. maize yields

Agriculture

Statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on U.S. maize yields

D. C. Lafferty, R. L. Sriver, et al.

This study reveals how different climate modeling approaches significantly affect projections of U.S. maize yields, demonstrating the critical trade-offs between accuracy and confidence in future yield forecasts. This compelling research was conducted by David C. Lafferty, Ryan L. Sriver, Iman Haqiqi, Thomas W. Hertel, Klaus Keller, and Robert E. Nicholas.

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