Agronomy, Geological and Atmospheric Sciences, Aerospace Engineering, Ames Laboratory
Journal or Book Title
Geophysical Research Letters
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.
American Geophysical Union
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.