干旱区生态环境知识资源中心(Arid): Feasibility of Estimating Turbulent Heat Fluxes via Variational Assimilation of Reference-Level Air Temperature and Specific Humidity Observations

Arid

DOI	10.3390/rs12071065
	Feasibility of Estimating Turbulent Heat Fluxes via Variational Assimilation of Reference-Level Air Temperature and Specific Humidity Observations
	Tajfar, Elahe 1,2; Bateni, Sayed M.1,2; Heggy, Essam 3,4; Xu, Tongren 5
通讯作者	Xu, Tongren
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:7
英文摘要	This study investigated the feasibility of partitioning the available energy between sensible (H) and latent (LE) heat fluxes via variational assimilation of reference-level air temperature and specific humidity. For this purpose, sequences of reference-level air temperature and specific humidity were assimilated into an atmospheric boundary layer model (ABL) within a variational data assimilation (VDA) framework to estimate H and LE. The VDA approach was tested at six sites (namely, Arou, Audubon, Bondville, Brookings, Desert, and Willow Creek) with contrasting climatic and vegetative conditions. The unknowns of the VDA system were the neutral bulk heat transfer coefficient (C-HN) and evaporative fraction (EF). EF estimates were found to agree well with observations in terms of magnitude and day-to-day fluctuations in wet/densely vegetated sites but degraded in dry/sparsely vegetated sites. Similarly, in wet/densely vegetated sites, the variations in the C-HN estimates were found to be consistent with those of the leaf area index (LAI) while this consistency deteriorated in dry/sparely vegetated sites. The root mean square errors (RMSEs) of daily H and LE estimates at the Arou site (wet) were 25.43 (Wm(-2)) and 55.81 (Wm(-2)), which are respectively 57.6% and 45.4% smaller than those of 60.00 (Wm(-2)) and 102.21 (Wm(-2)) at the Desert site (dry). Overall, the results show that the VDA system performs well at wet/densely vegetated sites (e.g., Arou and Willow Creek), but its performance degrades at dry/slightly vegetated sites (e.g., Desert and Audubon). These outcomes show that the sequences of reference-level air temperature and specific humidity have more information on the partitioning of available energy between the sensible and latent heat fluxes in wet/densely vegetated sites than dry/slightly vegetated sites.
英文关键词	turbulent heat fluxes available energy variational data assimilation air temperature specific humidity
类型	Article
语种	英语
国家	USA ; Peoples R China
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000537709600015
WOS关键词	LAND-SURFACE TEMPERATURE ; ATMOSPHERIC BOUNDARY-LAYER ; SOIL-MOISTURE ; EVAPORATIVE FRACTION ; EDDY-COVARIANCE ; REGIONAL EVAPOTRANSPIRATION ; ENERGY FLUXES ; MIXED-LAYER ; SEQUENTIAL ASSIMILATION ; TRANSFER COEFFICIENT
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	北京师范大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/318948
作者单位	1.Univ Hawaii Manoa, Dept Civil & Environm Engn, Honolulu, HI 96822 USA; 2.Univ Hawaii Manoa, Water Resources Res Ctr, Honolulu, HI 96822 USA; 3.Univ Southern Calif, Viterbi Sch Engn, Los Angeles, CA 90089 USA; 4.CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91109 USA; 5.Beijing Normal Univ, Fac Geog Sci, Sch Nat Resources, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Tajfar, Elahe,Bateni, Sayed M.,Heggy, Essam,et al. Feasibility of Estimating Turbulent Heat Fluxes via Variational Assimilation of Reference-Level Air Temperature and Specific Humidity Observations[J]. 北京师范大学,2020,12(7).
APA	Tajfar, Elahe,Bateni, Sayed M.,Heggy, Essam,&Xu, Tongren.(2020).Feasibility of Estimating Turbulent Heat Fluxes via Variational Assimilation of Reference-Level Air Temperature and Specific Humidity Observations.REMOTE SENSING,12(7).
MLA	Tajfar, Elahe,et al."Feasibility of Estimating Turbulent Heat Fluxes via Variational Assimilation of Reference-Level Air Temperature and Specific Humidity Observations".REMOTE SENSING 12.7(2020).