气候变化领域集成服务门户(CCPortal): Linear Optimal Runoff Aggregate (LORA): A global gridded synthesis runoff product

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DOI	10.5194/hess-23-851-2019
	Linear Optimal Runoff Aggregate (LORA): A global gridded synthesis runoff product
	Hobeichi S.; Abramowitz G.; Evans J.; Beck H.E.
发表日期	2019
ISSN	1027-5606
起始页码	851
结束页码	870
卷号	23 期号:2
英文摘要	No synthesized global gridded runoff product, derived from multiple sources, is available, despite such a product being useful for meeting the needs of many global water initiatives. We apply an optimal weighting approach to merge runoff estimates from hydrological models constrained with observational streamflow records. The weighting method is based on the ability of the models to match observed streamflow data while accounting for error covariance between the participating products. To address the lack of observed streamflow for many regions, a dissimilarity method was applied to transfer the weights of the participating products to the ungauged basins from the closest gauged basins using dissimilarity between basins in physiographic and climatic characteristics as a proxy for distance. We perform out-of-sample tests to examine the success of the dissimilarity approach, and we confirm that the weighted product performs better than its 11 constituent products in a range of metrics. Our resulting synthesized global gridded runoff product is available at monthly timescales, and includes time-variant uncertainty, for the period 1980-2012 on a 0.5ĝ grid. The synthesized global gridded runoff product broadly agrees with published runoff estimates at many river basins, and represents the seasonal runoff cycle for most of the globe well. The new product, called Linear Optimal Runoff Aggregate (LORA), is a valuable synthesis of existing runoff products and will be freely available for download on https://geonetwork.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/f9617-9854-8096-5291 (last access: 31 January 2019). © 2019. This work is distributed under the Creative Commons Attribution 4.0 License.
语种	英语
scopus关键词	Aggregates; Stream flow; Error covariances; Hydrological models; Multiple source; Optimal weighting; Streamflow records; Ungauged basins; Weighted products; Weighting methods; Runoff; global perspective; optimization; river basin; runoff; seasonality; streamflow; 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/159761
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; Beck, H.E., Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, United States
推荐引用方式 GB/T 7714	Hobeichi S.,Abramowitz G.,Evans J.,et al. Linear Optimal Runoff Aggregate (LORA): A global gridded synthesis runoff product[J],2019,23(2).
APA	Hobeichi S.,Abramowitz G.,Evans J.,&Beck H.E..(2019).Linear Optimal Runoff Aggregate (LORA): A global gridded synthesis runoff product.Hydrology and Earth System Sciences,23(2).
MLA	Hobeichi S.,et al."Linear Optimal Runoff Aggregate (LORA): A global gridded synthesis runoff product".Hydrology and Earth System Sciences 23.2(2019).