globalchange  > 气候变化事实与影响
DOI: 10.1175/JCLI-D-14-00015.1
Scopus记录号: 2-s2.0-84907853334
论文题名:
WRF model sensitivity to land surface model and cumulus parameterization under short-term climate extremes over the Southern great plains of the United States
作者: Pei L.; Moore N.; Zhong S.; Luo L.; Hyndman D.W.; Heilman W.E.; Gao Z.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2014
卷: 27, 期:20
起始页码: 7703
结束页码: 7724
语种: 英语
Scopus关键词: Climate extremes ; Cumulus parameterization ; Land surface modeling ; Southern great plains ; WRF Model ; climate modeling ; cumulus ; evapotranspiration ; land surface ; moisture flux ; parameterization ; precipitation (climatology) ; regional climate ; water budget ; Great Plains ; Ogallala Aquifer ; United States
英文摘要: Extreme weather and climate events, especially short-term excessive drought and wet periods over agricultural areas, have received increased attention. The Southern Great Plains (SGP) is one of the largest agricultural regions in North America and features the underlying Ogallala-High Plains Aquifer system worth great economic value in large part due to production gains from groundwater. Climate research over the SGP is needed to better understand complex coupled climate-hydrology-socioeconomic interactions critical to the sustainability of this region, especially under extreme climate scenarios. Here the authors studied growingseason extreme conditions using the Weather Research and Forecasting (WRF) Model. The six most extreme recent years, both wet and dry, were simulated to investigate the impacts of land surface model and cumulus parameterization on the simulated hydroclimate. The results show that under short-term climate extremes, the land surface model plays a more important role modulating the land-atmosphere water budget, and thus the entire regional climate, than the cumulus parameterization under currentmodel configurations.Between the two land surfacemodels tested, themore sophisticated land surfacemodel produced significantly larger wet bias in large part due to overestimation ofmoisture flux convergence, which is attributedmainly to an overestimation of the surface evapotranspiration during the simulated period.The deficiencies of the cumulus parameterizations resulted in themodel's inability to depict the diurnal rainfall variability. Both land surface processes and cumulus parameterizations remain the most challenging parts of regional climate modeling under extreme climates over the SGP, with the former strongly affecting the precipitation amount and the latter strongly affecting the precipitation pattern. © 2014 American Meteorological Society.
资助项目: NSF, National Science Foundation
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51339
Appears in Collections:气候变化事实与影响

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作者单位: State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, and University of Chinese Academy of Sciences, Beijing, China; Department of Geography and Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI, United States; Department of Geological Sciences, Michigan State University, East Lansing, MI, United States; USDA Forest Service Northern Research Station, Lansing, MI, United States; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China

Recommended Citation:
Pei L.,Moore N.,Zhong S.,et al. WRF model sensitivity to land surface model and cumulus parameterization under short-term climate extremes over the Southern great plains of the United States[J]. Journal of Climate,2014-01-01,27(20)
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