气候变化领域集成服务门户(CCPortal): Estimating lake temperature profile and evaporation losses by leveraging MODIS LST data

CCPortal

DOI	10.1016/j.rse.2020.112104
	Estimating lake temperature profile and evaporation losses by leveraging MODIS LST data
	Zhao G.; Gao H.; Cai X.
发表日期	2020
ISSN	00344257
卷号	251
英文摘要	Global lake evaporation is a critical component of the terrestrial water cycle. Accurate quantification of lake evaporation dynamics is of high importance for understanding lake energy budgets, land-atmosphere interactions, as well as regional water availability. However, the accurate quantification of lake evaporation has been hindered by the complexity involved with addressing the heat storage of water bodies. In this study, a new model—the Lake Temperature and Evaporation Model (LTEM)—was developed to simulate lake water temperature profiles, which were then used to calculate heat storage changes and evaporation rates. Inputs for the LTEM include the meteorological and bathymetric data, as well as the Moderate Resolution Imaging Spectroradiometer (MODIS) water surface temperature (WST)—which is the land surface temperature (LST) over water. The MODIS WST was leveraged to constrain the hydrodynamic simulations. Model results over 11 lakes around the world show robust performance of LTEM. The long term average temperature biases range from -0.5 °C to 0.5 °C, and the evaporation rate biases range from -0.19 mm/day to 0.28 mm/day. In particular, it is found that LTEM significantly improves the simulation of the seasonality of lake evaporation rates. The validation results suggest that the averaged coefficient of determination (R2) for the evaporation rate is 0.84, which is 0.28 higher than that obtained when the conventional Penman equation (without heat storage) is used. The volumetric evaporation time series was then calculated as a product of the monthly evaporation rate and lake surface area (derived from MODIS near-infrared image classifications). This study provides an end-to-end framework for quantifying volumetric evaporation for the world's lakes and reservoirs. It also provides the capability to investigate the thermal dynamics of lake systems, and thus can benefit the various water resources applications across scales. © 2020 Elsevier Inc.
英文关键词	Evaporation; Heat storage; Lake temperature profile; Water surface temperature
语种	英语
scopus关键词	Atmospheric temperature; Budget control; Digital storage; Evaporation; Heat storage; Infrared devices; Infrared imaging; Lakes; Land surface temperature; Radiometers; Surface properties; Temperature control; Accurate quantifications; Coefficient of determination; Hydrodynamic simulation; Lake sand reservoirs; Lake water temperature; Land atmosphere interaction; Moderate resolution imaging spectroradiometer; Water surface temperature; Reservoirs (water); complexity; estimation method; evaporation; hydrological cycle; lake water; land surface; land-atmosphere interaction; satellite data; seasonality; surface temperature; temperature profile; water availability; water temperature
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179111
作者单位	Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843, United States; Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States
推荐引用方式 GB/T 7714	Zhao G.,Gao H.,Cai X.. Estimating lake temperature profile and evaporation losses by leveraging MODIS LST data[J],2020,251.
APA	Zhao G.,Gao H.,&Cai X..(2020).Estimating lake temperature profile and evaporation losses by leveraging MODIS LST data.Remote Sensing of Environment,251.
MLA	Zhao G.,et al."Estimating lake temperature profile and evaporation losses by leveraging MODIS LST data".Remote Sensing of Environment 251(2020).