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

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.... show more
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations
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