Arid
DOI10.1016/j.rse.2021.112602
The role of aerodynamic resistance in thermal remote sensing-based evapotranspiration models
Trebs, Ivonne; Mallick, Kaniska; Bhattarai, Nishan; Sulis, Mauro; Cleverly, Jamie; Woodgate, William; Silberstein, Richard; Hinko-Najera, Nina; Beringer, Jason; Meyer, Wayne S.; Su, Zhongbo; Boulet, Gilles
通讯作者Trebs, I ; Mallick, K (corresponding author), Luxembourg Inst Sci & Technol, Dept Environm Res & Innovat, Belvaux, Luxembourg.
来源期刊REMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
EISSN1879-0704
出版年2021
卷号264
英文摘要Aerodynamic resistance (hereafter r(a)) is a preeminent variable in evapotranspiration (ET) modelling. The accurate quantification of r(a) plays a pivotal role in determining the performance and consistency of thermal remote sensing-based surface energy balance (SEB) models for estimating ET at local to regional scales. Atmospheric stability links r(a) with land surface temperature (LST) and the representation of their interactions in the SEB models determines the accuracy of ET estimates. The present study investigates the influence of r(a) and its relation to LST uncertainties on the performance of three structurally different SEB models. It used data from nine Australian OzFlux eddy covariance sites of contrasting aridity in conjunction with MODIS Terra and Aqua LST and leaf area index (LAI) products. Simulations of the sensible heat flux (H) and the latent heat flux (LE, the energy equivalent of ET in W/m(2)) from the SPARSE (Soil Plant Atmosphere and Remote Sensing Evapotranspiration), SEBS (Surface Energy Balance System) and STIC (Surface Temperature Initiated Closure) models forced with MODIS LST, LAI, and in-situ meteorological datasets were evaluated against flux observations in water-limited (arid and semi-arid) and energy-limited (mesic) ecosystems from 2011 to 2019. Our results revealed an overestimation tendency of instantaneous LE by all three models in the water-limited shrubland, woodland and grassland ecosystems by up to 50% on average, which was caused by an underestimation of H. Overestimation of LE was associated with discrepancies in r(a) retrievals under conditions of high atmospheric instability, during which uncertainties in LST (expressed as the difference between MODIS LST and in-situ LST) apparently played a minor role. On the other hand, a positive difference in LST coincided with low r(a) (high wind speeds) and caused a slight underestimation of LE at the water-limited sites. The impact of r(a) on the LE residual error was found to be of the same magnitude as the influence of LST uncertainties in the semi-arid ecosystems as indicated by variable importance in projection (VIP) coefficients from partial least squares regression above unity. In contrast, our results for the mesic forest ecosystems indicated minor dependency on r(a) for modelling LE (VIP < 0.4), which was due to a higher roughness length and lower LST resulting in the dominance of mechanically generated turbulence, thereby diminishing the importance of buoyancy production for the determination of r(a).
英文关键词Thermal remote sensing Aerodynamic resistance Land surface temperature Evapotranspiration Surface energy balance model Aridity
类型Article
语种英语
开放获取类型Green Published, hybrid
收录类别SCI-E
WOS记录号WOS:000688250300003
WOS关键词RADIOMETRIC SURFACE-TEMPERATURE ; BALANCE SYSTEM SEBS ; ENERGY FLUX ESTIMATION ; LAND-SURFACE ; HEAT-FLUX ; MEDITERRANEAN DRYLANDS ; STABILITY CORRECTION ; ROUGHNESS HEIGHT ; ARIDITY GRADIENT ; MONIN-OBUKHOV
WOS类目Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构French National Research Institute for Sustainable Development ; Commonwealth Scientific and Industrial Research Organisation ; University of Western Australia
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/368426
作者单位[Trebs, Ivonne; Mallick, Kaniska; Sulis, Mauro] Luxembourg Inst Sci & Technol, Dept Environm Res & Innovat, Belvaux, Luxembourg; [Bhattarai, Nishan] Univ Michigan, Sch Environm & Sustainabil Seas, Ann Arbor, MI 48109 USA; [Cleverly, Jamie] Univ Technol Sydney, Sch Life Sci, Broadway, NSW, Australia; [Cleverly, Jamie] James Cook Univ, Coll Sci & Engn, Terr Ecosyst Res Network TERN, Cairns, Qld, Australia; [Woodgate, William] CSIRO Land & Water, Canberra, ACT, Australia; [Woodgate, William] Univ Queensland, Sch Earth & Environm Sci, St Lucia, Qld, Australia; [Silberstein, Richard] Edith Cowan Univ, Ctr Ecosyst Management, Joondalup, WA, Australia; [Hinko-Najera, Nina] Univ Melbourne, Sch Ecosyst & Forest Sci, Creswick, Australia; [Silberstein, Richard; Beringer, Jason] Univ Western Australia, Sch Agr & Environm, Crawley, WA, Australia; [Meyer, Wayne S.] Univ Adelaide, Sch Biol Sci, Adelaide, SA, Australia; [Su, Zhongbo] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Enschede, Netherlands; [Boulet, G...
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Trebs, Ivonne,Mallick, Kaniska,Bhattarai, Nishan,et al. The role of aerodynamic resistance in thermal remote sensing-based evapotranspiration models[J]. French National Research Institute for Sustainable Development, Commonwealth Scientific and Industrial Research Organisation, University of Western Australia,2021,264.
APA Trebs, Ivonne.,Mallick, Kaniska.,Bhattarai, Nishan.,Sulis, Mauro.,Cleverly, Jamie.,...&Boulet, Gilles.(2021).The role of aerodynamic resistance in thermal remote sensing-based evapotranspiration models.REMOTE SENSING OF ENVIRONMENT,264.
MLA Trebs, Ivonne,et al."The role of aerodynamic resistance in thermal remote sensing-based evapotranspiration models".REMOTE SENSING OF ENVIRONMENT 264(2021).
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