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- UoB Water Group and Fathom receive WRR Editors’ Choice Award
UoB Water Group and Fathom receive WRR Editors’ Choice Award
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Sosa, J.,
Their paper on MERIT Hydro, co-written with Dai Yamazaki, made major advances in our ability to represent river networks globally.
As 2020 draws to a close, Fathom are pleased to announce that University of Bristol Water Group researchers, and Fathom team members, Jeison Sosa and Paul Bates have been awarded a Water Resources Research (WRR) Editors’ Choice award for 2020.
This award was received as a result of their contribution to Dai Yamazaki’s paper on MERIT Hydro, a high‐resolution global map of river network developed by combining the latest global map of topography with the latest maps of water bodies. MERIT Hydro represents a major advance in our ability to represent river networks globally and is a data set that is anticipated to enhance a wide range of geoscience applications including flood risk assessment, aquatic carbon emissions, and climate modelling.
WRR is published by the American Geophysical Union and is the leading technical journal for scientists working in flood mapping. WRR awards are given to the top 1% of papers published each year and awards papers based on their quality, significance and originality.
We are delighted that Fathom research has been acknowledged in this way. In the new year, we look forward to continuing collaboration with the University of Bristol to produce industry-leading research contributing to the advancement of the flood modelling and hydrology field.
Fathom’s latest research
Evaluating SWOT in the Coastal Zone
- Rong, Y.,
- Bates CBE FRS, P.,
- Neal, J.,
- Bell, P.,
- Gommenginger, C.,
- Lichtman, I.,
- Banks, C.,
- Calafat, F.,
- Martin, A.,
- Brown, J.,
- Cooke, R.,
- Balfour, C.,
- Dominicis, M.,
- Payo, M.,
- Williams, S.,
- Amoudry, L.,
- Chuter, S.,
- Neill, S.,
- Chisholm, J.,
- Kupiec, J.,
- Lewis, M.,
- Gleason, C.
Automated tail-informed threshold selection for extreme coastal sea levels
- Collings, T.,
- Murphy-Barltrop, C.,
- Murphy, C.,
- Haigh, I.,
- Bates CBE FRS, P.,
- Quinn, N.
A new method, TAILS, sharpens how we identify extreme events by focusing on the most critical data, giving clearer, more reliable estimates of future coastal hazards worldwide.
Introducing BURGER, Fathom’s new extreme rainfall dataset
- Hoch, J.,
- Probyn, I.,
- Marra, F.,
- Lucas, C.,
- Bates, J.,
- Cooper, A.,
- Fowler, H.,
- Hatchard, S.,
- Lewis, E.,
- Savage, J.,
- Addor, N.,
- Sampson, C.
New research by Fathom’s Senior Hydrologist, Dr Jannis Hoch, and other Fathom scientists describes Fathom’s new dataset, Bottom Up Regionalised Global Extreme Rainfall, or BURGER for short. It’s the first of its kind to be created from rainfall gauge data and the first to contain extreme estimates for durations as short as an hour.
Satellite Requirements to Capture Water Propagation in Earth’s Rivers
- Cerbelaud, A.,
- David, C.,
- Pavelsky, T.,
- Biancamaria, S.,
- Garambois, P.,
- Kittel, C.,
- Papa, F.,
- Bates, P.,
- Tourian, M.,
- Durand, M.,
- Frasson, R.,
- Oubanas, H.,
- Simard, M.,
- Schumann, G.,
- Allen, G.,
- Tarpanelli, A.,
- Wongchuig, S.,
- Wade, J.,
- Tom, M.,
- Malaterre, P.,
- Crétaux, J.,
- Gleason, C.,
- Nielsen, K.,
- Elmi, O.,
- Schwatke, C.,
- Scherer, D.,
- Gal, L.,
- Paris, A.,
- Dasgupta, A.,
- Munier, S.,
- Feng, D.,
- Bauer-Gottwein, P.,
- Hossain, F.,
- Yamazaki, D.,
- Kitambo, B.,
- Mischel, S.,
- Bonnema, M.,
- Verma, K.,
- Andreadis, K.,
- Picot, N.,
- Benveniste, J.,
- Dourand, M.
Global River Topology (GRIT): A bifurcating river hydrography
- Wortmann, M.,
- Slater, L.,
- Hawker, L.,
- Liu, Y.,
- Neal, J.,
- Zhang, B.,
- Schwenk, J.,
- Allen, G.,
- Ashworth, P.,
- Boothroyd, R.,
- Cloke,, H.,
- Delorme, P.,
- Gebrechorkos, S.,
- Griffith, H.,
- Leyland, J.,
- McLelland, S.,
- Nicholas, A.,
- Sambrook-Smith, G.,
- Vahidi, E.,
- Parsons, D.,
- Darby, S.
Researchers have created the first branching global river network that represents bifurcations, multi-threaded channels and canals.
FathomDEM Global Terrain Map
- Uhe, P.,
- Lucas, C.,
- Hawker, L.,
- Brine, M.,
- Wilkinson, H.,
- Cooper, A.,
- Saoulis, A.,
- Savage, J.,
- Sampson, C.
A new research paper published in Environmental Research Letters outlines the creation of FathomDEM, a new global 30 m DEM produced using a novel machine-learning approach.