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.
Copyright Owner
American Geophysical Union
Copyright Date
2015
Language
en
File Format
application/pdf
Recommended Citation
Niyogi, Dev; Liu, Xing; Andresen, Jeff; Jain, Atul K.; Kellner, Olivia; Takle, Eugene; and Doering, Otto C., "Crop models capture the impacts of climate variability on corn yield" (2015). Agronomy Publications. 127.
https://lib.dr.iastate.edu/agron_pubs/127
Comments
This article is from Geophysical Research Letters 42 (2015): 3356, doi:10.1002/2015GL063841. Posted with permission.