气候变化领域集成服务门户(CCPortal): Derived Optimal Linear Combination Evapotranspiration (DOLCE): A global gridded synthesis et estimate

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DOI	10.5194/hess-22-1317-2018
	Derived Optimal Linear Combination Evapotranspiration (DOLCE): A global gridded synthesis et estimate
	Hobeichi S.; Abramowitz G.; Evans J.; Ukkola A.
发表日期	2018
ISSN	1027-5606
起始页码	1317
结束页码	1336
卷号	22 期号:2
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.
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
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/160109
作者单位	Hobeichi, S., Climate Change Research Centre, University of New South Wales, Sydney, NSW 2052, Australia, ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, NSW 2052, Australia; Abramowitz, G., Climate Change Research Centre, University of New South Wales, Sydney, NSW 2052, Australia, ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, NSW 2052, Australia; Evans, J., Climate Change Research Centre, University of New South Wales, Sydney, NSW 2052, Australia, ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, NSW 2052, Australia; Ukkola, A., Climate Change Research Centre, University of New South Wales, Sydney, NSW 2052, Australia, ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, NSW 2052, Australia
推荐引用方式 GB/T 7714	Hobeichi S.,Abramowitz G.,Evans J.,et al. Derived Optimal Linear Combination Evapotranspiration (DOLCE): A global gridded synthesis et estimate[J],2018,22(2).
APA	Hobeichi S.,Abramowitz G.,Evans J.,&Ukkola A..(2018).Derived Optimal Linear Combination Evapotranspiration (DOLCE): A global gridded synthesis et estimate.Hydrology and Earth System Sciences,22(2).
MLA	Hobeichi S.,et al."Derived Optimal Linear Combination Evapotranspiration (DOLCE): A global gridded synthesis et estimate".Hydrology and Earth System Sciences 22.2(2018).