Crop models capture the impacts of climate variability on corn yield

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2015-05-01
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Niyogi, Dev
Liu, Xing
Andresen, Jeff
Jain, Atul
Kellner, Olivia
Takle, Eugene
Doering, Otto
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Aerospace EngineeringAmes National LaboratoryAgronomyGeological and Atmospheric Sciences
Abstract

We investigate the ability of three different crop models of varying complexity for capturing El Niño–Southern Oscillation-based climate variability impacts on the U.S. Corn Belt (1981–2010). Results indicate that crop models, irrespective of their complexity, are able to capture the impacts of climate variability on yield. Multiple-model ensemble analysis provides best results. There was no significant difference between using on-site and gridded meteorological data sets to drive the models. These results highlight the ability of using simpler crop models and gridded regional data sets for crop-climate assessments.

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This article is from Geophysical Research Letters 42 (2015): 3356, doi:10.1002/2015GL063841. Posted with permission.

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Thu Jan 01 00:00:00 UTC 2015
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