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DOI | 10.1002/2016JD025576 |
Assessing crop yield simulations driven by the NARCCAP regional climate models in the southeast United States | |
Shin, D. W.1; Baigorria, Guillermo A.2,3; Romero, Consuelo C.4; Cocke, Steve1; Oh, Ji-Hyun1,5; Kim, Baek-Min6 | |
2017-03-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:5 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; South Korea |
英文摘要 | 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. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000398064200002 |
WOS关键词 | SOYBEAN MODEL ; MAIZE YIELD ; FORECASTS ; SYSTEM ; UNCERTAINTIES ; PREDICTION |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/33851 |
专题 | 气候变化 |
作者单位 | 1.Florida State Univ, Ctr Ocean Atmospher Predict Studies, Tallahassee, FL 32306 USA; 2.Univ Nebraska, Sch Nat Resources, Lincoln, NE USA; 3.Univ Nebraska, Dept Agron & Hort, Lincoln, NE USA; 4.Next Season Syst LLC, Lincoln, NE USA; 5.APEC Climate Ctr, Busan, South Korea; 6.Korea Polar Res Inst, Incheon, South Korea |
推荐引用方式 GB/T 7714 | Shin, D. W.,Baigorria, Guillermo A.,Romero, Consuelo C.,et al. Assessing crop yield simulations driven by the NARCCAP regional climate models in the southeast United States[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(5). |
APA | Shin, D. W.,Baigorria, Guillermo A.,Romero, Consuelo C.,Cocke, Steve,Oh, Ji-Hyun,&Kim, Baek-Min.(2017).Assessing crop yield simulations driven by the NARCCAP regional climate models in the southeast United States.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(5). |
MLA | Shin, D. W.,et al."Assessing crop yield simulations driven by the NARCCAP regional climate models in the southeast United States".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.5(2017). |
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