气候变化领域集成服务门户(CCPortal): Global Irrigation Characteristics and Effects Simulated by Fully Coupled Land Surface, River, and Water Management Models in E3SM

CCPortal

DOI	10.1029/2020MS002069
	Global Irrigation Characteristics and Effects Simulated by Fully Coupled Land Surface, River, and Water Management Models in E3SM
	Zhou T.; Leung L.R.; Leng G.; Voisin N.; Li H.-Y.; Craig A.P.; Tesfa T.; Mao Y.
发表日期	2020
ISSN	19422466
卷号	12 期号:10
英文摘要	Irrigation supports agricultural production, but widespread use of irrigation can perturb the regional and global water cycle. The one-way coupled irrigation scheme used in some land surface models and Earth system models assumes that surface water demand is always met and ignores the surface water constraints, leading to overestimation of surface water usage, underestimation of groundwater pumping, and unrealistic simulation of their seasonal variability. To better represent the irrigation processes, a two-way coupled irrigation scheme is developed within the Energy Exascale Earth System Model (E3SM). The new irrigation scheme simulates irrigation water demand and applies irrigation water in E3SM Land Model (ELM), which is coupled to a river routing model and a water management model (MOSART-WM) that simulate streamflow, reservoir operations, and irrigation water supply. With two-way coupling, surface water irrigation is constrained by the available runoff, streamflow, and reservoir storage. Simulations were performed for 1979–2008 at 0.5° spatial resolution to estimate irrigation surface water and groundwater use and their seasonality in global and large river basin scales. Compared to one-way coupling, the two-way coupling scheme (1) estimates less surface water withdrawal and less return flow due to the surface water constraint; (2) better represents groundwater recharge and groundwater level decline at global scale; and (3) is able to capture the seasonal dynamics of irrigation water allocations which reflect the local water conditions. The new development is an important step to more realistically account for the interactions between human water use and the terrestrial water cycle in an Earth system model. ©2020. The Authors.
英文关键词	E3SM; Earth system model; irrigation; water management
语种	英语
scopus关键词	Agricultural robots; Irrigation; Reservoir management; Rivers; Stream flow; Surface measurement; Underground reservoirs; Water management; Water supply; Agricultural productions; Ground water recharge; Groundwater pumping; Irrigation water allocation; Irrigation water supply; Seasonal variability; Surface water and groundwaters; Water management model; Recharging (underground waters); groundwater; hydrological cycle; hydrological modeling; irrigation system; runoff; seasonal variation; seasonality; simulation; streamflow; surface water; water supply
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156598
作者单位	Pacific Northwest National Laboratory, Richland, WA, United States; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; Department of Civil and Environmental Engineering, University of Houston, Houston, TX, United States; Pacific Northwest National Laboratory, United States; College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
推荐引用方式 GB/T 7714	Zhou T.,Leung L.R.,Leng G.,et al. Global Irrigation Characteristics and Effects Simulated by Fully Coupled Land Surface, River, and Water Management Models in E3SM[J],2020,12(10).
APA	Zhou T..,Leung L.R..,Leng G..,Voisin N..,Li H.-Y..,...&Mao Y..(2020).Global Irrigation Characteristics and Effects Simulated by Fully Coupled Land Surface, River, and Water Management Models in E3SM.Journal of Advances in Modeling Earth Systems,12(10).
MLA	Zhou T.,et al."Global Irrigation Characteristics and Effects Simulated by Fully Coupled Land Surface, River, and Water Management Models in E3SM".Journal of Advances in Modeling Earth Systems 12.10(2020).