气候变化领域集成服务门户(CCPortal): Dynamical downscaling improves upon gridded precipitation products in the Sierra Nevada; California

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DOI	10.1007/s00382-017-3631-z
	Dynamical downscaling improves upon gridded precipitation products in the Sierra Nevada; California
	Hughes M.; Lundquist J.D.; Henn B.
发表日期	2020
ISSN	0930-7575
起始页码	111
结束页码	129
卷号	55
英文摘要	Uncertainties in gridded and regional climate estimates of precipitation are large at high elevations, where observations are sparse and spatial variability is substantial. We explore these uncertainties for water year 2008 across California’s Sierra Nevada in 10 datasets: 6 regional climate downscalings generated using the weather research and forecasting (WRF) model at convection-permitting resolution with differing lateral boundary conditions and microphysical parameterizations, and four gauge-based, interpolation-gridded precipitation datasets. Precipitation from these 10 datasets is evaluated against 95 snow pillows and a precipitation dataset inferred from stream gauges using a Bayesian inference method. During water year 2008, the gridded datasets tend to underestimate frozen precipitation on the windward slope of the Sierra Nevada, particularly in the vicinity of Yosemite National Park. The WRF simulations with single-moment microphysics tend to overestimate precipitation throughout much of the region, whereas the WRF simulations with double-moment microphysics tend to better agree with both the snow pillows and inferred precipitation estimates, although they somewhat overestimate the windward/leeside precipitation contrast in the northern Sierra Nevada. WRF simulations, in particular those with single-moment microphysics, better distinguish spatial patterns of wet-versus-dry pillows and watersheds over the water year than the gridded estimates. Our results suggest treating gauge-based datasets as ‘truth’ may give a misleading representation of model accuracy, since these gauge-based datasets often have issues of their own. © 2017, Springer-Verlag Berlin Heidelberg.
英文关键词	Convection-permitting; Downscaling; Precipitation; WRF
语种	英语
scopus关键词	accuracy assessment; boundary condition; data set; downscaling; estimation method; parameterization; precipitation (climatology); raingauge; regional climate; uncertainty analysis; California; Sierra Nevada [California]; United States
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/145430
作者单位	Cooperative Institute for Research in Environmental Science, University of Colorado, Boulder and NOAA/ESRL/PSD, Boulder, CO, United States; Civil and Environmental Engineering, University of Washington, Seattle, WA, United States; Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, United States
推荐引用方式 GB/T 7714	Hughes M.,Lundquist J.D.,Henn B.. Dynamical downscaling improves upon gridded precipitation products in the Sierra Nevada; California[J],2020,55.
APA	Hughes M.,Lundquist J.D.,&Henn B..(2020).Dynamical downscaling improves upon gridded precipitation products in the Sierra Nevada; California.Climate Dynamics,55.
MLA	Hughes M.,et al."Dynamical downscaling improves upon gridded precipitation products in the Sierra Nevada; California".Climate Dynamics 55(2020).