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Discussion papers | Copyright
https://doi.org/10.5194/hess-2018-386
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 07 Aug 2018

Research article | 07 Aug 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Hydrology and Earth System Sciences (HESS).

Linear Optimal Runoff Aggregate (LORA): A global gridded synthesis runoff product

Sanaa Hobeichi1,2, Gab Abramowitz1,3, Jason Evans1,3, and Hylke E. Beck4 Sanaa Hobeichi et al.
  • 1Climate Change Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
  • 2ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, NSW 2052, Australia
  • 3ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, NSW 2052, Australia
  • 4Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, USA

Abstract. No synthesized global gridded runoff product, derived from multiple sources, is available despite such a product being useful to meet 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 constituents products in a range of metrics. Our resulting synthesized global gridded runoff product is available at monthly time scales, and includes time variant uncertainty, for the period 1980–2012 on a 0.5° grid. The synthesized global gridded runoff product broadly agrees with published runoff estimates at many river basins, and represents well the seasonal runoff cycle for most of the globe. 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/.

Sanaa Hobeichi et al.
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Status: open (until 26 Oct 2018)
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Sanaa Hobeichi et al.
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Linear Optimal Runoff Aggregate v1.0 S. Hobeichi https://doi.org/10.25914/5b612e993d8ea

Sanaa Hobeichi et al.
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