Higher contributions of uncertainty from global climate models than crop models in maize-yield simulations under climate change
نویسندگان
چکیده
منابع مشابه
Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations
Global gridded crop models (GGCMs) are increasingly used for agro-environmental assessments and estimates of climate change impacts on food production. Recently, the influence of climate data and weather variability on GGCM outcomes has come under detailed scrutiny, unlike the influence of soil data. Here we compare yield variability caused by the soil type selected for GGCM simulations to weat...
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University House 1, PO Box 1700, STN CSC, University of Victoria, Victoria, British Columbia, Canada, V8W 3R4 Phone: 250-721-6236 | Fax: 250-721-7217 | pacificclimate.org 1. The best fit curves were determined using locally weighted polynomial regression. For more on locally weighted polynomial regression, see: Wand, M. P. and M. C. Jones, 1995: Kernel Smoothing, CRC Press, 232 pp. A recent met...
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ژورنال
عنوان ژورنال: Meteorological Applications
سال: 2018
ISSN: 1350-4827
DOI: 10.1002/met.1738