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Article
Crop models capture the impacts of climate variability on corn yield
Geophysical Research Letters
  • Dev Niyogi, Purdue University
  • Xing Liu, Purdue University
  • Jeff Andresen, Michigan State University
  • Atul K. Jain, University of Illinois at Urbana-Champaign
  • Olivia Kellner, Purdue University
  • Eugene Takle, Iowa State University
  • Otto C. Doering, Purdue University
Document Type
Article
Publication Version
Published Version
Publication Date
5-1-2015
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
Citation Information
Dev Niyogi, Xing Liu, Jeff Andresen, Atul K. Jain, et al.. "Crop models capture the impacts of climate variability on corn yield" Geophysical Research Letters Vol. 42 Iss. 9 (2015) p. 3356 - 3363
Available at: http://works.bepress.com/eugene-takle/44/