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Assessing Crop Yield Simulations Driven By The Narccap Regional Climate Models In The Southeast United States

Title: Assessing Crop Yield Simulations Driven By The Narccap Regional Climate Models In The Southeast United States.
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Name(s): Shin, D. W., author
Baigorria, Guillermo A., author
Romero, Consuelo C., author
Cocke, Steve, author
Oh, Ji-Hyun, author
Kim, Baek-Min, author
Type of Resource: text
Genre: Journal Article
Text
Journal Article
Date Issued: 2017-03-16
Physical Form: computer
Physical Form: online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: A set of the North American Regional Climate Change Assessment Program (NARCCAP) regional climate models is used in crop modeling systems to assess economically valuable agricultural production in the southeast United States, where weather/climate exerts strong impact on agriculture. The maize/peanut/ cotton yield amounts for the period of 1981-2003 are obtained in a regularly gridded (similar to 20km) southeast U.S. using (a) observed, (b) a reanalysis, and (c) the NARCCAP Phase I multimodel data set. It is shown that the regional-climate model-driven crop yield amounts are better simulated than the reanalysis-driven ones. Multimodel ensemble methods are then adopted to examine their usefulness in improving the simulation of regional crop yield amounts and are compared to each other. The bias-corrected or weighted composite methods combine the crop yield ensemble members better than the simple compositemethod. In general, the weighted ensemble crop yield simulations match marginally better with the observed-weather-driven yields compared to those of the other ensemble methods.
Identifier: FSU_libsubv1_wos_000398064200002 (IID), 10.1002/2016JD025576 (DOI)
Keywords: system, prediction, uncertainties, circulation model, demeter, ensembles, forecasts, maize yield, soybean model
Publication Note: The publisher's version of record is available at https://doi.org/10.1002/2016JD025576
Persistent Link to This Record: http://purl.flvc.org/fsu/fd/FSU_libsubv1_wos_000398064200002
Owner Institution: FSU
Is Part Of: Journal of Geophysical Research-Atmospheres.
2169-897X
Issue: iss. 5, vol. 122

Choose the citation style.
Shin, D. W., Baigorria, G. A., Romero, C. C., Cocke, S., Oh, J. -H., & Kim, B. -M. (2017). Assessing Crop Yield Simulations Driven By The Narccap Regional Climate Models In The Southeast United States. Journal Of Geophysical Research-Atmospheres. Retrieved from http://purl.flvc.org/fsu/fd/FSU_libsubv1_wos_000398064200002