干旱区生态环境知识资源中心(Arid): Assessment of surface energy balance algorithm for land and operational simplified surface energy balance algorithm over freshwater and saline water bodies in Urmia Lake Basin

Arid

DOI	10.1007/s00704-020-03472-1
	Assessment of surface energy balance algorithm for land and operational simplified surface energy balance algorithm over freshwater and saline water bodies in Urmia Lake Basin
	Rahimpour, Morteza; Rahimzadegan, Majid
通讯作者	Rahimzadegan, M (corresponding author), KN Toosi Univ Technol, Fac Civil Engn, Dept Water Resources Engn & Management, Tehran 1996715433, Iran.
来源期刊	THEORETICAL AND APPLIED CLIMATOLOGY
ISSN	0177-798X
EISSN	1434-4483
出版年	2021
卷号	143 期号:3-4 页码:1457-1472
英文摘要	To manage inland water resources, surveying the performance of remote sensing models for estimating the actual evaporation in arid regions is so important. Hence, this study aimed to assess the performance of two energy balance algorithms including surface energy balance algorithm for land (SEBAL) and operational simplified surface energy balance (SSEBop) in freshwater and saline water bodies. Another purpose of the present study was efficiency improvement in hypersaline lakes. In this regard, a practical salinity correction coefficient was used to overcome shortcomings of the selected models over saline Lake. The analysis of yearly lake water budget was used to assess the selected energy balance algorithms' performance with a novel approach. These algorithms were investigated at Shahid Kazemi Dam Reservoir (as a freshwater body) and Urmia Lake (as a hypersaline water body) in Iran. The results showed that two selected algorithms estimated the evaporation rate at the selected freshwater body with a proper accuracy. The results showed the root mean square error for SEBAL result (RMSESEBAL) as 2.0 mm/day, correlation coefficient for SEBAL result (R-SEBAL) as 0.80 mm/day, and RMSESSEBop and R-SSEBop as 1.7 and 0.80 mm/day, respectively. However, these models overestimated evaporation over the hypersaline water body (RMSESEBAL = 88.4 mm/month, R-SEBAL = 0.90 and RMSESSEBop = 39.9 mm/month, R-SSEBop = 0.94). Salinity correction coefficient improved the results as RMSESEBAL = 19.8 mm/month, R-SEBAL = 0.90 and RMSESSEBop = 13.4 mm/month, and R-SSEBop = 0.94. In general, the algorithm performance was improved using the salinity correction coefficient in the chosen hypersaline water body.
英文关键词	Actual evaporation Surface energy balance algorithm for land (SEBAL) Operational simplified surface energy balance (SSEBop) Hypersaline water Freshwater Moderate resolution imaging spectroradiometer (MODIS)
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000605879100004
WOS关键词	EVAPORATION ESTIMATION ; CLIMATE VARIABILITY ; BUDGET EVAPORATION ; SPATIAL VARIATIONS ; PRIESTLEY-TAYLOR ; EDDY-CORRELATION ; PAN EVAPORATION ; ARAL SEA ; EVAPOTRANSPIRATION ; RATIO
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/348247
作者单位	[Rahimpour, Morteza; Rahimzadegan, Majid] KN Toosi Univ Technol, Fac Civil Engn, Dept Water Resources Engn & Management, Tehran 1996715433, Iran
推荐引用方式 GB/T 7714	Rahimpour, Morteza,Rahimzadegan, Majid. Assessment of surface energy balance algorithm for land and operational simplified surface energy balance algorithm over freshwater and saline water bodies in Urmia Lake Basin[J],2021,143(3-4):1457-1472.
APA	Rahimpour, Morteza,&Rahimzadegan, Majid.(2021).Assessment of surface energy balance algorithm for land and operational simplified surface energy balance algorithm over freshwater and saline water bodies in Urmia Lake Basin.THEORETICAL AND APPLIED CLIMATOLOGY,143(3-4),1457-1472.
MLA	Rahimpour, Morteza,et al."Assessment of surface energy balance algorithm for land and operational simplified surface energy balance algorithm over freshwater and saline water bodies in Urmia Lake Basin".THEORETICAL AND APPLIED CLIMATOLOGY 143.3-4(2021):1457-1472.