气候变化领域集成服务门户(CCPortal): Evaluation of High Mountain Asia-Land Data Assimilation System (Version 1) From 2003 to 2016, Part I: A Hyper-Resolution Terrestrial Modeling System

CCPortal

DOI	10.1029/2020JD034131
	Evaluation of High Mountain Asia-Land Data Assimilation System (Version 1) From 2003 to 2016, Part I: A Hyper-Resolution Terrestrial Modeling System
	Xue Y.; Houser P.R.; Maggioni V.; Mei Y.; Kumar S.V.; Yoon Y.
发表日期	2021
ISSN	2169897X
卷号	126 期号:8
英文摘要	This first paper of the two-part series focuses on demonstrating the accuracy of a hyper-resolution, offline terrestrial modeling system used for the High Mountain Asia (HMA) region. To this end, this study systematically evaluates four sets of model simulations at point scale, basin scale, and domain scale obtained from different spatial resolutions including 0.01° (∼1-km) and 0.25° (∼25-km). The assessment is conducted via comparisons against ground-based observations and satellite-derived reference products. The key variables of interest include surface net shortwave radiation, surface net longwave radiation, skin temperature, near-surface soil temperature, snow depth, snow water equivalent, and total runoff. In the evaluation against ground-based measurements, the superiority of the 0.01° estimates are mostly demonstrated across relatively complex terrain. Specifically, hyper-resolution modeling improves the skill in meteorological forcing estimates (except precipitation) by 9% relative to coarse-resolution estimates. The model forced by downscaled forcings in its entirety yields the highest skill in model output states as well as precipitation, which improves the skill obtained by coarse-resolution estimates by 7%. These findings, on one hand, corroborate the importance of employing the hyper-resolution versus coarse-resolution modeling in areas characterized by complex terrain. On the other hand, by evaluating four sets of model simulations forced with different precipitation products, this study emphasizes the importance of accurate hyper-resolution precipitation products to drive model simulations. © 2021. American Geophysical Union. All Rights Reserved.
英文关键词	downscaling; High Mountain Asia; hyper-resolution modeling; Noah-MP
语种	英语
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/185375
作者单位	Department of Geography and GeoInformation Science, George Mason University, Fairfax, VA, United States; Sid and Reva Dewberry Department of Civil, Environmental, and Infrastructure Engineering, George Mason University, Fairfax, VA, United States; Now at University of Michigan, Ann Arbor, MI, United States; Hydrological Sciences Laboratory, NASA/GSFC, Greenbelt, MD, United States; Science Applications International Corporation, McLean, VA, United States
推荐引用方式 GB/T 7714	Xue Y.,Houser P.R.,Maggioni V.,et al. Evaluation of High Mountain Asia-Land Data Assimilation System (Version 1) From 2003 to 2016, Part I: A Hyper-Resolution Terrestrial Modeling System[J],2021,126(8).
APA	Xue Y.,Houser P.R.,Maggioni V.,Mei Y.,Kumar S.V.,&Yoon Y..(2021).Evaluation of High Mountain Asia-Land Data Assimilation System (Version 1) From 2003 to 2016, Part I: A Hyper-Resolution Terrestrial Modeling System.Journal of Geophysical Research: Atmospheres,126(8).
MLA	Xue Y.,et al."Evaluation of High Mountain Asia-Land Data Assimilation System (Version 1) From 2003 to 2016, Part I: A Hyper-Resolution Terrestrial Modeling System".Journal of Geophysical Research: Atmospheres 126.8(2021).