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 Publication | SCIENTIFIC REPORTS |
2019 | |
Volume | 9Issue:0Pages:14981 |
DOI | 10.1038/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 Area | Resource Environm |
WOS ID | WOS:000490988200040 |
Language | 英语 |
Indexed By | SCI |
Keyword | Surface-energy-balance Global Water-resources Hai River-basins Land-surface System Sebs Heat-flux Roughness Height Climate-change Sensible Heat Yellow-river |
WOS Research Area | Science & Technology - Other Topics |
WOS Subject | Multidisciplinary Sciences |
Cooperation Status | 国际 |
ISSN | 2045-2322 |
Department | 环境变化与地表过程重点实验室 |
URL | 查看原文 |
Publisher | NATURE PUBLISHING GROUP |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.itpcas.ac.cn/handle/131C11/9119 |
Collection | 图书馆 |
Corresponding Author | Zhao, J (Zhao, Jing); Zhao, HG (Zhao, Honggang) |
Affiliation | 1.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. |
Files in This Item: | ||||||
File Name/Size | DocType | Version | Access | License | ||
2019084.pdf(6878KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment