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Discussion papers
https://doi.org/10.5194/essd-2019-232
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-232
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: data description paper 07 Jan 2020

Submitted as: data description paper | 07 Jan 2020

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This preprint is currently under review for the journal ESSD.

GloFAS-ERA5 operational global river discharge reanalysis 1979–present

Shaun Harrigan1, Ervin Zsoter1, Lorenzo Alfieri2, Christel Prudhomme1,3,4, Peter Salamon2, Fredrik Wetterhall1, Christopher Barnard1, Hannah Cloke5,6,7,8, and Florian Pappenberger1 Shaun Harrigan et al.
  • 1Forecast Department, European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
  • 2Disaster Risk Management Unit, European Commission Joint Research Centre (JRC), Ispra, Italy
  • 3Centre for Ecology and Hydrology (CEH), Wallingford, UK
  • 4Department of Geography and Environment, University of Loughborough, Loughborough, UK
  • 5Department of Geography and Environmental Science, University of Reading, Reading, UK
  • 6Department of Meteorology, University of Reading, Reading, UK
  • 7Department of Earth Sciences, Uppsala University, Uppsala, Sweden
  • 8Centre of Natural Hazards and Disaster Science, CNDS, Uppsala, Sweden

Abstract. Estimating how much water is flowing through rivers at the global scale is challenging due to a lack of observations in space and time. A way forward is to optimally combine the global network of earth system observations with advanced numerical weather prediction (NWP) models to generate consistent spatio-temporal maps of land, ocean, and atmospheric variables of interest, known as a reanalysis. While the current generation of NWP output runoff at each grid cell, they currently do not produce river discharge at catchment scales directly, and thus have limited utility in hydrological applications such as flood and drought monitoring and forecasting. This is overcome in the Global Flood Awareness System (GloFAS; http://www.globalfloods.eu/) by coupling surface and sub-surface runoff from the HTESSEL land surface model used within ECMWF’s latest global atmospheric reanalysis (ERA5) with the LISFLOOD hydrological and channel routing model. The aim of this paper is to describe and evaluate the GloFAS-ERA5 global river discharge reanalysis dataset launched on 5 November 2019 (version 2.1 release). The river discharge reanalysis is a global gridded dataset with a horizontal resolution of 0.1° at a daily time step. An innovative feature is that it is produced in an operational environment so is available to users from 1 January 1979 until near real time (within 7 days behind real time). The reanalysis was evaluated against a global network of 1801 river discharge observation stations. Results found that the GloFAS-ERA5 reanalysis was skilful against a mean flow benchmark in 86 % of catchments according to the modified Kling-Gupta Efficiency Skill Score, although the strength of skill varied considerably with location. The global median Pearson correlation coefficient was 0.61 with an interquartile range of 0.44 to 0.74. The long-term and operational nature of the GloFAS-ERA5 reanalysis dataset provides a valuable dataset to the user community for applications ranging from monitoring global flood and drought conditions, identification of hydroclimatic variability and change, and as raw input to post-processing and machine learning methods that can add further value. The dataset is openly available from the Copernicus Climate Change Service Climate Data Store: https://cds.climate.copernicus.eu/cdsapp#!/dataset/cems-glofas-historical?tab=overview with the following DOI: 10.24381/cds.a4fdd6b9 (C3S, 2019).

Shaun Harrigan et al.

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Shaun Harrigan et al.

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River discharge and related historical data from the Global Flood Awareness System Copernicus Climate Change Service (C3S) https://doi.org/10.24381/cds.a4fdd6b9

Shaun Harrigan et al.

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Short summary
A new river discharge reanalysis dataset is produced operationally by coupling ECMWF’s latest global atmospheric reanalysis, ERA5, with the hydrological modelling component of the Global Flood Awareness System (GloFAS). The GloFAS-ERA5 reanalysis is a global gridded dataset with a horizontal resolution of 0.1° at a daily time step and is freely available from 1979 until near real time. The evaluation against observations shows that the GloFAS-ERA5 reanalysis was skilful in 86 % of catchments.
A new river discharge reanalysis dataset is produced operationally by coupling ECMWF’s latest...
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