干旱区生态环境知识资源中心(Arid): Evaluating Hydrological Processes of the Atmosphere-Vegetation Interaction Model and MERRA-2 at Global Scale

Arid

DOI	10.3390/atmos12010016
	Evaluating Hydrological Processes of the Atmosphere-Vegetation Interaction Model and MERRA-2 at Global Scale
	Lv, Meizhao; Xu, Zhongfeng; Lv, Meixia
通讯作者	Xu, ZF (corresponding author), Chinese Acad Sci, Inst Atmospher Phys, CAS Key Lab Reg Climate & Environm Temperate East, Beijing 100029, Peoples R China.
来源期刊	ATMOSPHERE
EISSN	2073-4433
出版年	2021
卷号	12 期号:1
英文摘要	Hydrological processes are a key component of land surface models and link to the energy budget and carbon cycle. This study assessed the global hydrological processes of the Atmosphere-Vegetation Interaction Model (AVIM) using multiple datasets, including the Global Land Data Assimilation System (GLDAS), the University of New Hampshire and Global Runoff Data Centre (UNH-GRDC), the European Space Agency (ESA) Climate Change Initiative (CCI), the Global Land Evaporation Amsterdam Model (GLEAM), and the Modern-Era Retrospective Analysis for Research and Applications Version 2 (MERRA-2) datasets. The comparisons showed that the AVIM gives a reasonable spatial pattern for surface soil moisture and surface runoff, but a less satisfactory spatial pattern for evapotranspiration. The AVIM clearly underestimates surface runoff worldwide and overestimates the surface soil moisture in the high latitudes of the Northern Hemisphere, while yielding moderately higher evapotranspiration in arid areas and lower evapotranspiration in low-latitude areas near the equator. The annual cycle of evapotranspiration in the AVIM shows good agreement with the GLEAM dataset, whereas the surface soil moisture in the AVIM has a poor annual cycle relative to the CCI dataset. The AVIM simulates a late start time for snowmelt, which leads to a two-month delay in the peak surface runoff. These results clearly point out the directions required for improvements in the AVIM, which will support future investigations of water-carbon-atmosphere interactions. In addition, the evapotranspiration in the MERRA-2 dataset had an overall good performance comparable with that of the GLEAM dataset, but its surface soil moisture did not perform well when validated against the CCI dataset.
英文关键词	hydrological processes AVIM2 0 MERRA-2 GLDAS CCI GLEAM
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000609737400001
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
来源机构	中国科学院大气物理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/347740
作者单位	[Lv, Meizhao; Xu, Zhongfeng; Lv, Meixia] Chinese Acad Sci, Inst Atmospher Phys, CAS Key Lab Reg Climate & Environm Temperate East, Beijing 100029, Peoples R China
推荐引用方式 GB/T 7714	Lv, Meizhao,Xu, Zhongfeng,Lv, Meixia. Evaluating Hydrological Processes of the Atmosphere-Vegetation Interaction Model and MERRA-2 at Global Scale[J]. 中国科学院大气物理研究所,2021,12(1).
APA	Lv, Meizhao,Xu, Zhongfeng,&Lv, Meixia.(2021).Evaluating Hydrological Processes of the Atmosphere-Vegetation Interaction Model and MERRA-2 at Global Scale.ATMOSPHERE,12(1).
MLA	Lv, Meizhao,et al."Evaluating Hydrological Processes of the Atmosphere-Vegetation Interaction Model and MERRA-2 at Global Scale".ATMOSPHERE 12.1(2021).