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DOI | 10.1007/s00382-019-04987-8 |
Simulating precipitation and temperature in the Lake Champlain basin using a regional climate model: limitations and uncertainties | |
Huang H.; Winter J.M.; Osterberg E.C.; Hanrahan J.; Bruyère C.L.; Clemins P.; Beckage B. | |
发表日期 | 2020 |
ISSN | 0930-7575 |
起始页码 | 69 |
结束页码 | 84 |
卷号 | 54期号:2020-01-02 |
英文摘要 | The Lake Champlain Basin has socioeconomic and ecological significance for the Northeastern United States and Quebec, Canada. Temperatures and extreme precipitation events have been increasing across this region over the past three decades. Accurate, high-resolution climate simulations are critical to assessing potential climate change risk in the Lake Champlain Basin. We evaluate the performance of a regional climate model, the Weather Research and Forecasting (WRF) model, to downscale ERA-Interim reanalysis data to 4 km for the Lake Champlain Basin. Specifically, we compare an ensemble of five WRF experiments with different physics configurations using a one-way, triple-nested domain (36, 12, and 4 km) over three 5-year periods (1980–1984, 1995–1999, and 2010–2014) to Daymet, a gridded observational dataset. We find that WRF simulations of the Lake Champlain Basin generally reproduce the observed temperature and precipitation seasonal cycles, but have cold and wet biases. The simulation of mean temperature by WRF is most sensitive to the choice of radiation scheme, while the simulation of mean precipitation is most sensitive to the choice of radiation, cumulus, and microphysics scheme. We find that turning the cumulus scheme on improves the simulation of the precipitation seasonal cycle at a 4 km resolution, but also substantially enhances the wet bias. Using a coarser resolution (36 km) produces smaller regionally averaged precipitation biases, but not improved correlations between simulated and observed monthly precipitation. Both spatial resolution and turning the cumulus scheme off have minor effects on simulated temperature. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature. |
英文关键词 | Extreme events; Lake Champlain Basin; Model evaluation; Physics parameterization; Regional climate modeling; WRF |
语种 | 英语 |
scopus关键词 | air temperature; climate change; climate modeling; downscaling; extreme event; parameterization; precipitation assessment; regional climate; weather forecasting; Lake Champlain Basin |
来源期刊 | Climate Dynamics |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/145776 |
作者单位 | Department of Earth Sciences, Dartmouth College, Hanover, NH, United States; Department of Geography, Dartmouth College, Hanover, NH, United States; Department of Atmospheric Sciences, Northern Vermont University–Lyndon, Lyndonville, VT, United States; National Center for Atmospheric Research, Boulder, CO, United States; Environmental Sciences and Management, North-West University, Potchefstroom, South Africa; Department of Plant Biology, University of Vermont, Burlington, VT, United States; Department of Computer Science, University of Vermont, Burlington, VT, United States |
推荐引用方式 GB/T 7714 | Huang H.,Winter J.M.,Osterberg E.C.,et al. Simulating precipitation and temperature in the Lake Champlain basin using a regional climate model: limitations and uncertainties[J],2020,54(2020-01-02). |
APA | Huang H..,Winter J.M..,Osterberg E.C..,Hanrahan J..,Bruyère C.L..,...&Beckage B..(2020).Simulating precipitation and temperature in the Lake Champlain basin using a regional climate model: limitations and uncertainties.Climate Dynamics,54(2020-01-02). |
MLA | Huang H.,et al."Simulating precipitation and temperature in the Lake Champlain basin using a regional climate model: limitations and uncertainties".Climate Dynamics 54.2020-01-02(2020). |
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