干旱区生态环境知识资源中心(Arid): Improving Meteorological Input for Surface Energy Balance System Utilizing Mesoscale Weather Research and Forecasting Model for Estimating Daily Actual Evapotranspiration

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DOI	10.3390/w12010009
	Improving Meteorological Input for Surface Energy Balance System Utilizing Mesoscale Weather Research and Forecasting Model for Estimating Daily Actual Evapotranspiration
	Wang, Dakang 1,2; Zhan, Yulin 1; Yu, Tao 1; Liu, Yan 1; Jin, Xiaomei 3; Ren, Xinyu 1,2; Chen, Xinran 1,2; Liu, Qixin 1,2
通讯作者	Zhan, Yulin
来源期刊	WATER
EISSN	2073-4441
出版年	2020
卷号	12 期号:1
英文摘要	Using Surface Energy Balance System (SEBS) to estimate actual evapotranspiration (ET) on a regional scale generally uses gridded meteorological data by interpolating data from meteorological stations with mathematical interpolation. The heterogeneity of underlying surfaces cannot be effectively considered when interpolating meteorological station measurements to gridded data only by mathematical interpolation. This study aims to highlight the improvement of modeled meteorological data from the Weather Research and Forecasting (WRF) mesoscale numerical model which fully considers the heterogeneity of underlying surfaces over the data from mathematical interpolation method when providing accurate meteorological input for SEBS model. Meteorological data at 1 km resolution in the Hotan Oasis were simulated and then were put into SEBS model to estimate the daily actual ET. The accuracy of WRF simulation was evaluated through comparison with data collected at the meteorological station. Results found that the WRF-simulated wind speed, air temperature, relative humidity and surface pressure correlate well with the meteorological stations measurements (R-2 are 0.628, 0.8242, 0.8089 and 0.8915, respectively). Comparison between ET calculated using the meteorological data simulated from the WRF (ETa-WRF) and meteorological data interpolated from measurements at met stations (ETa-STA) showed that ETa-WRF could better reflect the ET difference between different land cover, and capture the vegetation growing trend, especially in areas with sparse vegetation, where ETa-STA intends to overestimate. In addition, ETa-WRF has less noise in barren areas compared to ETa-STA. Our findings suggest that WRF can provide more reliable meteorological input for SEBS model than mathematical interpolation method.
英文关键词	SEBS evapotranspiration WRF Hotan oasis heterogeneity water resources
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000519847200009
WOS关键词	SOIL-MOISTURE ; SEBS ; CLIMATE ; HETEROGENEITY ; TEMPERATURE ; VEGETATION ; RADIATION ; ACCURACY ; BASIN ; RATIO
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315693
作者单位	1.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.China Univ Geosci, Sch Water Resources & Environm, Beijing 100083, Peoples R China
推荐引用方式 GB/T 7714	Wang, Dakang,Zhan, Yulin,Yu, Tao,et al. Improving Meteorological Input for Surface Energy Balance System Utilizing Mesoscale Weather Research and Forecasting Model for Estimating Daily Actual Evapotranspiration[J],2020,12(1).
APA	Wang, Dakang.,Zhan, Yulin.,Yu, Tao.,Liu, Yan.,Jin, Xiaomei.,...&Liu, Qixin.(2020).Improving Meteorological Input for Surface Energy Balance System Utilizing Mesoscale Weather Research and Forecasting Model for Estimating Daily Actual Evapotranspiration.WATER,12(1).
MLA	Wang, Dakang,et al."Improving Meteorological Input for Surface Energy Balance System Utilizing Mesoscale Weather Research and Forecasting Model for Estimating Daily Actual Evapotranspiration".WATER 12.1(2020).