气候变化领域集成服务门户(CCPortal): Snow Ensemble Uncertainty Project (SEUP): Quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling

CCPortal

DOI	10.5194/tc-15-771-2021
	Snow Ensemble Uncertainty Project (SEUP): Quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling
	Kim R.S.; Kumar S.; Vuyovich C.; Houser P.; Lundquist J.; Mudryk L.; Durand M.; Barros A.; Kim E.J.; Forman B.A.; Gutmann E.D.; Wrzesien M.L.; Garnaud C.; Sandells M.; Marshall H.-P.; Cristea N.; Pflug J.M.; Johnston J.; Cao Y.; Mocko D.; Wang S.
发表日期	2021
ISSN	19940416
起始页码	771
结束页码	791
卷号	15 期号:2
英文摘要	The Snow Ensemble Uncertainty Project (SEUP) is an effort to establish a baseline characterization of snow water equivalent (SWE) uncertainty across North America with the goal of informing global snow observational needs. An ensemble-based modeling approach, encompassing a suite of current operational models is used to assess the uncertainty in SWE and total snow storage (SWS) estimation over North America during the 2009-2017 period. The highest modeled SWE uncertainty is observed in mountainous regions, likely due to the relatively deep snow, forcing uncertainties, and variability between the different models in resolving the snow processes over complex terrain. This highlights a need for high-resolution observations in mountains to capture the high spatial SWE variability. The greatest SWS is found in Tundra regions where, even though the spatiotemporal variability in modeled SWE is low, there is considerable uncertainty in the SWS estimates due to the large areal extent over which those estimates are spread. This highlights the need for high accuracy in snow estimations across the Tundra. In midlatitude boreal forests, large uncertainties in both SWE and SWS indicate that vegetation-snow impacts are a critical area where focused improvements to modeled snow estimation efforts need to be made. Finally, the SEUP results indicate that SWE uncertainty is driving runoff uncertainty, and measurements may be beneficial in reducing uncertainty in SWE and runoff, during the melt season at high latitudes (e.g., Tundra and Taiga regions) and in the western mountain regions, whereas observations at (or near) peak SWE accumulation are more helpful over the midlatitudes. © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License.
英文关键词	midlatitude environment; modeling; mountain region; quantitative analysis; runoff; snow cover; snow water equivalent; spatiotemporal analysis; tundra; uncertainty analysis; North America
语种	英语
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/202347
作者单位	Hydrological Sciences Laboratory, Nasa Goddard Space Flight Center, Greenbelt, MD, United States; Universities Space Research Association, Columbia, MD, United States; Department of Geography and Geoinformation Sciences, George Mason University, Fairfax, VA, United States; Civil and Environmental Engineering, University of Washington, Seattle, WA, United States; Climate Research Division Environment and Climate Change Canada, Toronto, ON, Canada; School of Earth Sciences and Byrd Polar and Climate Research Center, The Ohio State University, Columbus, OH, United States; Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Champaign, IL, United States; Civil and Environmental Engineering, University of Maryland, College Park, MD, United States; National Center for Atmospheric Research, Boulder, CO, United States; Meteorological Research Division Environment and Climate Change Canada, Dorval, QC, Canada; Geography and Environmental Sciences, Northumbria University, N...
推荐引用方式 GB/T 7714	Kim R.S.,Kumar S.,Vuyovich C.,et al. Snow Ensemble Uncertainty Project (SEUP): Quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling[J],2021,15(2).
APA	Kim R.S..,Kumar S..,Vuyovich C..,Houser P..,Lundquist J..,...&Wang S..(2021).Snow Ensemble Uncertainty Project (SEUP): Quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling.Cryosphere,15(2).
MLA	Kim R.S.,et al."Snow Ensemble Uncertainty Project (SEUP): Quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling".Cryosphere 15.2(2021).