DOI: 10.5194/hess-22-1317-2018
Scopus记录号: 2-s2.0-85042428791
论文题名: Derived Optimal Linear Combination Evapotranspiration (DOLCE): A global gridded synthesis et estimate
作者: Hobeichi S ; , Abramowitz G ; , Evans J ; , Ukkola A
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2018
卷: 22, 期: 2 起始页码: 1317
结束页码: 1336
语种: 英语
Scopus关键词: Budget control
; Evapotranspiration
; Scales (weighing instruments)
; Data requirements
; Linear combinations
; Observational data
; Reliable estimates
; Temporal resolution
; Water and energies
; Weighted products
; Weighting approaches
; Uncertainty analysis
; data set
; estimation method
; evapotranspiration
; flux measurement
; hydrological modeling
; spatial resolution
; uncertainty analysis
英文摘要: Accurate global gridded estimates of evapotranspiration (ET) are key to understanding water and energy budgets, in addition to being required for model evaluation. Several gridded ET products have already been developed which differ in their data requirements, the approaches used to derive them and their estimates, yet it is not clear which provides the most reliable estimates. This paper presents a new global ET dataset and associated uncertainty with monthly temporal resolution for 2000-2009. Six existing gridded ET products are combined using a weighting approach trained by observational datasets from 159 FLUXNET sites. The weighting method is based on a technique that provides an analytically optimal linear combination of ET products compared to site data and accounts for both the performance differences and error covariance between the participating ET products. We examine the performance of the weighting approach in several in-sample and out-of-sample tests that confirm that point-based estimates of flux towers provide information on the grid scale of these products. We also provide evidence that the weighted product performs better than its six constituent ET product members in four common metrics. Uncertainty in the ET estimate is derived by rescaling the spread of participating ET products so that their spread reflects the ability of the weighted mean estimate to match flux tower data. While issues in observational data and any common biases in participating ET datasets are limitations to the success of this approach, future datasets can easily be incorporated and enhance the derived product. © Author(s) 2018. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79385
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Climate Change Research Centre, University of New South Wales, Sydney, NSW, Australia; ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, NSW, Australia; ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, NSW, Australia
Recommended Citation:
Hobeichi S,, Abramowitz G,, Evans J,et al. Derived Optimal Linear Combination Evapotranspiration (DOLCE): A global gridded synthesis et estimate[J]. Hydrology and Earth System Sciences,2018-01-01,22(2)