DOI: 10.5194/hess-20-803-2016
Scopus记录号: 2-s2.0-84975701629
论文题名: The WACMOS-ET project - Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms
作者: Michel D ; , Jiménez C ; , Miralles D ; G ; , Jung M ; , Hirschi M ; , Ershadi A ; , Martens B ; , Mccabe M ; F ; , Fisher J ; B ; , Mu Q ; , Seneviratne S ; I ; , Wood E ; F ; , Fernández-Prieto D
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期: 2 起始页码: 803
结束页码: 822
语种: 英语
Scopus关键词: Algorithms
; Bond (masonry)
; Evaporation
; Fighter aircraft
; Image reconstruction
; Meteorology
; Radiometers
; Remote sensing
; Satellite imagery
; Towers
; Earth observations
; Evaporation products
; In-situ measurement
; Jet Propulsion Laboratory
; Meteorological data
; Moderate resolution imaging spectroradiometer
; Surface energy balance systems
; Temporal resolution
; Evapotranspiration
; algorithm
; climate conditions
; climate forcing
; data set
; estimation method
; evapotranspiration
; hydrological modeling
; hydrometeorology
; model validation
; MODIS
; numerical model
; remote sensing
; resolution
英文摘要: The WAter Cycle Multi-mission Observation Strategy - EvapoTranspiration (WACMOS-ET) project has compiled a forcing data set covering the period 2005-2007 that aims to maximize the exploitation of European Earth Observations data sets for evapotranspiration (ET) estimation. The data set was used to run four established ET algorithms: the Priestley-Taylor Jet Propulsion Laboratory model (PT-JPL), the Penman-Monteith algorithm from the MODerate resolution Imaging Spectroradiometer (MODIS) evaporation product (PM-MOD), the Surface Energy Balance System (SEBS) and the Global Land Evaporation Amsterdam Model (GLEAM). In addition, in situ meteorological data from 24 FLUXNET towers were used to force the models, with results from both forcing sets compared to tower-based flux observations. Model performance was assessed on several timescales using both sub-daily and daily forcings. The PT-JPL model and GLEAM provide the best performance for both satellite- and tower-based forcing as well as for the considered temporal resolutions. Simulations using the PM-MOD were mostly underestimated, while the SEBS performance was characterized by a systematic overestimation. In general, all four algorithms produce the best results in wet and moderately wet climate regimes. In dry regimes, the correlation and the absolute agreement with the reference tower ET observations were consistently lower. While ET derived with in situ forcing data agrees best with the tower measurements (R2=0.67), the agreement of the satellite-based ET estimates is only marginally lower (R2=0.58). Results also show similar model performance at daily and sub-daily (3-hourly) resolutions. Overall, our validation experiments against in situ measurements indicate that there is no single best-performing algorithm across all biome and forcing types. An extension of the evaluation to a larger selection of 85 towers (model inputs resampled to a common grid to facilitate global estimates) confirmed the original findings. © Author(s) 2016. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78905
Appears in Collections: 气候变化事实与影响
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作者单位: Institute for Atmospheric and Climate Science, ETH Zürich, Zürich, Switzerland; Estellus, Paris, France; LERMA, Paris Observatory, Paris, France; Department of Earth Sciences, VU University Amsterdam, Amsterdam, Netherlands; Laboratory of Hydrology and Water Management, Ghent University, Ghent, Belgium; Max Planck Institute for Biogeochemistry, Jena, Germany; Division of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Department of Ecosystem and Conservation Sciences, University of Montana, Missoula, MN, United States; Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, United States; ESRIN, European Space Agency, Frascati, Italy
Recommended Citation:
Michel D,, Jiménez C,, Miralles D,et al. The WACMOS-ET project - Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms[J]. Hydrology and Earth System Sciences,2016-01-01,20(2)