Campus Units

Agronomy, Geological and Atmospheric Sciences, Aerospace Engineering, Ames Laboratory

Document Type

Article

Publication Version

Published Version

Publication Date

5-2015

Journal or Book Title

Geophysical Research Letters

Volume

42

Issue

9

First Page

3356

Last Page

3363

DOI

10.1002/2015GL063841

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.

Comments

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

Copyright Owner

American Geophysical Union

Language

en

File Format

application/pdf

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