DOI: 10.5194/hess-21-1339-2017
Scopus记录号: 2-s2.0-85014918264
论文题名: Estimation of surface energy fluxes in the Arctic tundra using the remote sensing thermal-based Two-Source Energy Balance model
作者: Cristóbal J ; , Prakash A ; , Anderson M ; C ; , Kustas W ; P ; , Euskirchen E ; S ; , Kane D ; L
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 3 起始页码: 1339
结束页码: 1358
语种: 英语
Scopus关键词: Atmospheric temperature
; Budget control
; Climate change
; Climate models
; Ecology
; Energy balance
; Heat flux
; Interfacial energy
; Landforms
; Sandwich structures
; Soils
; Surface measurement
; Canopy transpirations
; Land surface temperature
; Permafrost degradation
; Satellite remote sensing
; Surface energy balance modeling
; Surface energy budget
; Surface energy fluxes
; Two-source energy balance model
; Remote sensing
; biomass
; climate conditions
; ecosystem response
; energy balance
; energy flux
; estimation method
; growing season
; hydrological cycle
; land cover
; leaf area index
; MODIS
; permafrost
; plant community
; remote sensing
; satellite data
; snowmelt
; soil temperature
; spatiotemporal analysis
; surface energy
; tundra
; Alaska
; Arctic
; United States
英文摘要: The Arctic has become generally a warmer place over the past decades leading to earlier snow melt, permafrost degradation and changing plant communities. Increases in precipitation and local evaporation in the Arctic, known as the acceleration components of the hydrologic cycle, coupled with land cover changes, have resulted in significant changes in the regional surface energy budget. Quantifying spatiotemporal trends in surface energy flux partitioning is key to forecasting ecological responses to changing climate conditions in the Arctic. An extensive local evaluation of the Two-Source Energy Balance model (TSEB)-a remote-sensing-based model using thermal infrared retrievals of land surface temperature-was performed using tower measurements collected over different tundra types in Alaska in all sky conditions over the full growing season from 2008 to 2012. Based on comparisons with flux tower observations, refinements in the original TSEB net radiation, soil heat flux and canopy transpiration parameterizations were identified for Arctic tundra. In particular, a revised method for estimating soil heat flux based on relationships with soil temperature was developed, resulting in significantly improved performance. These refinements result in mean turbulent flux errors generally less than 50 W m-2 at half-hourly time steps, similar to errors typically reported in surface energy balance modeling studies conducted in more temperate climatic regimes. The MODIS leaf area index (LAI) remote sensing product proved to be useful for estimating energy fluxes in Arctic tundra in the absence of field data on the local biomass amount. Model refinements found in this work at the local scale build toward a regional implementation of the TSEB model over Arctic tundra ecosystems, using thermal satellite remote sensing to assess response of surface fluxes to changing vegetation and climate conditions. © 2017 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79234
Appears in Collections: 气候变化事实与影响
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作者单位: Geophysical Institute, University of Alaska Fairbanks, Fairbanks, AL, United States; Institute of Northern Engineering, Water Environmental Research Center, University of Alaska Fairbanks, Fairbanks, AL, United States; Hydrology and Remote Sensing Laboratory, United States Department of Agriculture, Agriculture Research Service, Beltsville, MD, United States; Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AL, United States
Recommended Citation:
Cristóbal J,, Prakash A,, Anderson M,et al. Estimation of surface energy fluxes in the Arctic tundra using the remote sensing thermal-based Two-Source Energy Balance model[J]. Hydrology and Earth System Sciences,2017-01-01,21(3)