气候变化领域集成服务门户(CCPortal): Higher temporal evapotranspiration estimation with improved SEBS model from geostationary meteorological satellite data

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DOI	10.1038/s41598-019-50724-w
	Higher temporal evapotranspiration estimation with improved SEBS model from geostationary meteorological satellite data
	Zhao, Jing; Chen, Xuelong; Zhang, Jing; Zhao, Honggang; Song, Yongyu
通讯作者	Zhang, J (通讯作者)
发表日期	2019
ISSN	2045-2322
卷号	9
英文摘要	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.
关键词	SURFACE-ENERGY-BALANCE GLOBAL WATER-RESOURCES HAI RIVER-BASINS LAND-SURFACE SYSTEM SEBS HEAT-FLUX ROUGHNESS HEIGHT CLIMATE-CHANGE SENSIBLE HEAT YELLOW-RIVER
语种	英语
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:000490988200040
来源期刊	SCIENTIFIC REPORTS
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259555
推荐引用方式 GB/T 7714	Zhao, Jing,Chen, Xuelong,Zhang, Jing,et al. Higher temporal evapotranspiration estimation with improved SEBS model from geostationary meteorological satellite data[J]. 中国科学院青藏高原研究所,2019,9.
APA	Zhao, Jing,Chen, Xuelong,Zhang, Jing,Zhao, Honggang,&Song, Yongyu.(2019).Higher temporal evapotranspiration estimation with improved SEBS model from geostationary meteorological satellite data.SCIENTIFIC REPORTS,9.
MLA	Zhao, Jing,et al."Higher temporal evapotranspiration estimation with improved SEBS model from geostationary meteorological satellite data".SCIENTIFIC REPORTS 9(2019).