Articles | Volume 12, issue 3
https://doi.org/10.5194/essd-12-2043-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-2043-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
07 Sep 2020
Data description paper |
| 07 Sep 2020
| 07 Sep 2020
GloFAS-ERA5 operational global river discharge reanalysis 1979–present
Forecast Department, European Centre for Medium-Range Weather
Forecasts (ECMWF), Reading, UK
Ervin Zsoter
Forecast Department, European Centre for Medium-Range Weather
Forecasts (ECMWF), Reading, UK
Department of Geography and Environmental Science, University of
Reading, Reading, UK
Lorenzo Alfieri
Disaster Risk Management Unit, European Commission Joint Research
Centre (JRC), Ispra, Italy
CIMA Research Foundation, Savona, Italy
Christel Prudhomme
Forecast Department, European Centre for Medium-Range Weather
Forecasts (ECMWF), Reading, UK
Centre for Ecology and Hydrology (CEH), Wallingford, UK
Department of Geography and Environment, University of Loughborough, Loughborough, UK
Peter Salamon
Disaster Risk Management Unit, European Commission Joint Research
Centre (JRC), Ispra, Italy
Fredrik Wetterhall
Forecast Department, European Centre for Medium-Range Weather
Forecasts (ECMWF), Reading, UK
Christopher Barnard
Forecast Department, European Centre for Medium-Range Weather
Forecasts (ECMWF), Reading, UK
Hannah Cloke
Department of Geography and Environmental Science, University of
Reading, Reading, UK
Department of Meteorology, University of Reading, Reading, UK
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
Centre of Natural Hazards and Disaster Science, CNDS, Uppsala, Sweden
Florian Pappenberger
Forecast Department, European Centre for Medium-Range Weather
Forecasts (ECMWF), Reading, UK
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Manuscript not accepted for further review
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Revised manuscript not accepted
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The European Centre for Medium-Range Weather Forecasts mission is to deliver high-quality global medium‐range (3–15 d ahead of time) weather forecasts and monitoring of the Earth system. We have published a new strategy, and in this paper we discuss what this means for forecasting and monitoring natural hazards.
Louise J. Slater, Bailey Anderson, Marcus Buechel, Simon Dadson, Shasha Han, Shaun Harrigan, Timo Kelder, Katie Kowal, Thomas Lees, Tom Matthews, Conor Murphy, and Robert L. Wilby
Hydrol. Earth Syst. Sci., 25, 3897–3935, https://doi.org/10.5194/hess-25-3897-2021, https://doi.org/10.5194/hess-25-3897-2021, 2021
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Weather and water extremes have devastating effects each year. One of the principal challenges for society is understanding how extremes are likely to evolve under the influence of changes in climate, land cover, and other human impacts. This paper provides a review of the methods and challenges associated with the detection, attribution, management, and projection of nonstationary weather and water extremes.
Jamie Towner, Andrea Ficchí, Hannah L. Cloke, Juan Bazo, Erin Coughlan de Perez, and Elisabeth M. Stephens
Hydrol. Earth Syst. Sci., 25, 3875–3895, https://doi.org/10.5194/hess-25-3875-2021, https://doi.org/10.5194/hess-25-3875-2021, 2021
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We examine whether several climate indices alter the magnitude, timing and duration of floods in the Amazon. We find significant changes in both flood magnitude and duration, particularly in the north-eastern Amazon for negative SST years in the central Pacific Ocean. This response is not repeated when the negative anomaly is positioned further east. These results have important implications for both social and physical sectors working towards the improvement of flood early warning systems.
Sarah Sparrow, Andrew Bowery, Glenn D. Carver, Marcus O. Köhler, Pirkka Ollinaho, Florian Pappenberger, David Wallom, and Antje Weisheimer
Geosci. Model Dev., 14, 3473–3486, https://doi.org/10.5194/gmd-14-3473-2021, https://doi.org/10.5194/gmd-14-3473-2021, 2021
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This paper describes how the research version of the European Centre for Medium-Range Weather Forecasts’ Integrated Forecast System is combined with climateprediction.net’s public volunteer computing resource to develop OpenIFS@home. Thousands of volunteer personal computers simulated slightly different realizations of Tropical Cyclone Karl to demonstrate the performance of the large-ensemble forecast. OpenIFS@Home offers researchers a new tool to study weather forecasts and related questions.
Sazzad Hossain, Hannah L. Cloke, Andrea Ficchì, Andrew G. Turner, and Elisabeth M. Stephens
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-97, https://doi.org/10.5194/hess-2021-97, 2021
Manuscript not accepted for further review
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Hydrometeorological drivers are investigated to study three different flood types: long duration, rapid rise and high water level of the Brahmaputra river basin in Bangladesh. Our results reveal that long duration floods have been driven by basin-wide rainfall whereas rapid rate of rise due to more localized rainfall. We find that recent record high water levels are not coincident with extreme river flows. Understanding these drivers is key for flood forecasting and early warning.
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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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