Understanding the relationship between climate and crop productivity is a key component of projections of future food production, and hence assessments of food security. Climate models and crop yield datasets have errors, but the effects of these errors on regional scale crop models is not well c...
Enlace original:
https://cgspace.cgiar.org/handle/10568/76592
Watson, J.
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Challinor, Andrew J.
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Fricker TE
,
Ferro CAT
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[Comparing the effects of calibration and climate errors on a statistical crop model and a process-based crop model]
,
Comparing the effects of calibration and climate errors on a statistical crop model and a process-based crop model
