506 citations
- University of OxfordGB10 papers
- Norwegian Meteorological InstituteNO8 papers
- University of ReadingGB8 papers
- Imperial College LondonGB7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Universidade Federal de Minas GeraisBR6 papers
- New Jersey Institute of TechnologyUS5 papers
- Ames Research CenterUS4 papers
- NSF National Center for Atmospheric ResearchUS4 papers
- University of DebrecenHU4 papers
- Deutscher WetterdienstDE3 papers
- ETH ZurichCH3 papers
74 papers
AIFL: A Global Daily Streamflow Forecasting Model Using a Deterministic LSTM Pre-trained on ERA5-Land and Fine-tuned on IFS
Maria Luisa Taccari, Kenza Tazi, Oisín M. Morrison +7
Reliable global streamflow forecasting is essential for flood preparedness and water resource management, yet data-driven models often suffer from a performance gap when transition…
A robust and stable hybrid neural network/finite element method for 2D flows that generalizes to different geometries
Robert Jendersie, Nils Margenberg, Christian Lessig +1
The deep neural network multigrid solver (DNN-MG) combines a coarse-grid finite element simulation with a deep neural network that corrects the solution on finer grid levels, there…
Observation-guided Interpolation Using Graph Neural Networks for High-Resolution Nowcasting in Switzerland
Ophélia Miralles, Daniele Nerini, Jonas Bhend +2
Recent advances in neural weather forecasting have shown significant potential for accurate short-term forecasts. However, adapting such gridded approaches to smaller, topographica…
Diagnostic vs dynamic representation of the inverse barometer effect in a global ocean model and its potential for probabilistic storm surge forecasting
Nils Melsom Kristensen, Kristian Mogensen, Sarah-Jane Lock +1
The global ocean model NEMO is run in a series of stand-alone configurations (2015-2022) to investigate the potential for improving global medium-range storm surge forecasts by inc…
Seasonal forecasting using the GenCast probabilistic machine learning model
Bobby Antonio, Kristian Strommen, Hannah M. Christensen
Machine-learnt weather prediction (MLWP) models are now well established as being competitive with conventional numerical weather prediction (NWP) models in the medium range. Howev…
Radiosonde-constrained reconstructions reveal a weakening Northern Hadley circulation
Matic Pikovnik, Žiga Zaplotnik
The Northern Hadley cell (NHC) is a fundamental component of Earth's atmospheric circulation, governing precipitation patterns affecting nearly four billion people. Despite its imp…