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The document discusses methods for calibrating climate projections to improve crop yield estimates, focusing on the use of atmosphere-ocean global climate models (AOGCMs). It evaluates various calibration methodologies, including delta and bias correction approaches, emphasizing the importance of choosing the right method to reduce uncertainty in future climate projections. The findings suggest that employing multiple calibration techniques can enhance the reliability of climate data for agricultural impact

Author

Scribd97

Language

EN