Gwyneth Matthews

Using a long short-term memory (LSTM) neural network to boost river streamflow forecasts over the western United States

Kieran M. R. Hunt, Gwyneth Matthews, Florian Pappenberger et al. · Hydrology and earth system sciences · 2022 · 154 citations · Full text

Natural Resources, Earth Sciences, Hydrology +17

Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop

Antara Dasgupta, Louise Arnal, Rebecca Emerton et al. · Journal of Flood Risk Management · 2023 · 38 citations · Full text

Natural Sciences, Earth Sciences, Hydrology +17

Evaluating the impact of post-processing medium-range ensemble streamflow forecasts from the European Flood Awareness System

Gwyneth Matthews, Christopher Barnard, Hannah Cloke et al. · Hydrology and earth system sciences · 2022 · 30 citations · Full text

Natural Resources, Hydrology, Forecasting +15

Global hydrological reanalyses: The value of river discharge information for world‐wide downstream applications – The example of the Global Flood Awareness System <scp>GloFAS</scp>

Christel Prudhomme, Ervin Zsótér, Gwyneth Matthews et al. · Meteorological Applications · 2024 · 27 citations · Full text

Natural Resources, Earth Sciences, Hydrology +15

Using a long short-term memory (LSTM) neural network to boost river streamflow forecasts over the western United States

Kieran M. R. Hunt, Gwyneth Matthews, Florian Pappenberger et al. · 2022 · 24 citations · Full text

Natural Resources, Earth Sciences, Hydrology +17