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Higher temporal evapotranspiration estimation with improved SEBS model from geostationary meteorological satellite data
Zhao, J (Zhao, Jing)1,2; Chen, XL (Chen, Xuelong)2,3; Zhang, J (Zhang, Jing)1; Zhao, HG (Zhao, Honggang)4; Song, YY (Song, Yongyu)1
Source PublicationSCIENTIFIC REPORTS
2019
Volume9Issue:0Pages:14981
DOI10.1038/s41598-019-50724-w
Abstract

Evapotranspiration (ET) is a key variable in hydrologic cycle that directly affects the redistribution of precipitation and surface balance. ET measurements with high temporal resolution are required for coupling with models of highly dynamic processes, e.g., hydrological and land surface processes. The Haihe River Basin is the focus of China's industrial base and it is one of the three major grain-producing regions within the country. However, this area is facing serious water resource shortages and water pollution problems. The present study used geostationary satellite remote sensing data, in situ meteorological observations, and the surface energy balance system (SEBS) model with a new kB(-1) parameterization to estimate 3-hourly and daily energy and water fluxes in the Haihe River Basin. The results of the SEBS model were validated with point-scale data from five observation flux towers. Validation showed that 3-hourly and daily ET derived from the SEBS model performed well (R-2 = 0.67, mean bias = 0.027 mm/h, RMSE = 0.1 mm/h). Moreover, factors influencing ET were also identified based on the results of this study. ET varies with land cover type and physical and chemical properties of the underlying surface. Furthermore, ET is also controlled by water availability, radiation, and other atmospheric conditions. It was found that ET had strong correlation with the normalized difference vegetation index (NDVI). Specifically, daily ET fluctuated with the NDVI when the NDVI was <0.29, and ET increased rapidly as the NDVI increased from 0.29 to 0.81. For NDVI values >0.81, indicating a state of saturation, the rate of increase of ET slowed. This research produced reliable information that could assist in sustainable management of the water resources and in improved understanding of the hydrologic cycle of the Haihe River Basin.

Subject AreaResource Environm
WOS IDWOS:000490988200040
Language英语
Indexed BySCI
KeywordSurface-energy-balance Global Water-resources Hai River-basins Land-surface System Sebs Heat-flux Roughness Height Climate-change Sensible Heat Yellow-river
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
Cooperation Status国际
ISSN2045-2322
Department环境变化与地表过程重点实验室
URL查看原文
PublisherNATURE PUBLISHING GROUP
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/9119
Collection图书馆
Corresponding AuthorZhao, J (Zhao, Jing); Zhao, HG (Zhao, Honggang)
Affiliation1.Capital Normal Univ, Beijing Key Lab Resource Environm & Geog Informat, Beijing 100048, Peoples R China;
2.Univ Twente, Fac Geoinformat Sci & Earth Observat, NL-7514 AE Enschede, Netherlands;
3.Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing 100101, Peoples R China;
4.Xinjiang Normal Univ, Xinyi Rd, Urumqi 830046, Peoples R China.
Recommended Citation
GB/T 7714
Zhao, J ,Chen, XL ,Zhang, J ,et al. Higher temporal evapotranspiration estimation with improved SEBS model from geostationary meteorological satellite data[J]. SCIENTIFIC REPORTS,2019,9(0):14981.
APA Zhao, J ,Chen, XL ,Zhang, J ,Zhao, HG ,&Song, YY .(2019).Higher temporal evapotranspiration estimation with improved SEBS model from geostationary meteorological satellite data.SCIENTIFIC REPORTS,9(0),14981.
MLA Zhao, J ,et al."Higher temporal evapotranspiration estimation with improved SEBS model from geostationary meteorological satellite data".SCIENTIFIC REPORTS 9.0(2019):14981.
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