Matthew Chantry

17 papers A* 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AIFL: A Global Daily Streamflow Forecasting Model Using Deterministic LSTM Pre-trained on ERA5-Land and Fine-tuned on IFS. CoRR Maria Luisa Taccari, Kenza Tazi, Oisín M. Morrison, Andreas Grafberger, Juan Colonese, Corentin Carton de Wiart, Christel Prudhomme, Cinzia Mazzetti, Matthew Chantry, Florian Pappenberger
2025	J	`jnl`	End-to-end data-driven weather prediction. Nat. Anna Allen, Stratis Markou, Will Tebbutt, James Requeima, Wessel P. Bruinsma, Tom R. Andersson, Michael Herzog, Nicholas D. Lane, Matthew Chantry, J. Scott Hosking, Richard E. Turner
2025	J	`jnl`	High-Resolution Probabilistic Data-Driven Weather Modeling with a Stretched-Grid. CoRR Even Marius Nordhagen, Håvard Homleid Haugen, Aram Farhad Shafiq Salihi, Magnus Sikora Ingstad, Thomas Nils Nipen, Ivar Ambjørn Seierstad, Inger-Lise Frogner, Mariana Clare, Simon Lang, Matthew Chantry, Peter Dueben, Jørn Kristiansen
2025	J	`jnl`	On Global Applicability and Location Transferability of Generative Deep Learning Models for Precipitation Downscaling. CoRR Paula Harder, Christian Lessig, Matthew Chantry, Francis Pelletier, David Rolnick
2025	J	`jnl`	RainShift: A Benchmark for Precipitation Downscaling Across Geographies. CoRR Paula Harder, Luca Schmidt, Francis Pelletier, Nicole Ludwig, Matthew Chantry, Christian Lessig, Alex Hernández-García, David Rolnick
2024	J	`jnl`	Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators. CoRR Marieke Wesselkamp, Matthew Chantry, Ewan Pinnington, Margarita Choulga, Souhail Boussetta, Maria Kalweit, Joschka Boedecker, Carsten F. Dormann, Florian Pappenberger, Gianpaolo Balsamo
2024	J	`jnl`	Data driven weather forecasts trained and initialised directly from observations. CoRR Anthony McNally, Christian Lessig, Peter Lean, Eulalie Boucher, Mihai Alexe, Ewan Pinnington, Matthew Chantry, Simon Lang, Chris Burrows, Marcin Chrust, Florian Pinault, Ethel Villeneuve, Niels Bormann, Sean Healy
2024	J	`jnl`	Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications. CoRR Tom Beucler, Arthur Grundner, Sara Shamekh, Peter Ukkonen, Matthew Chantry, Ryan Lagerquist
2024	J	`jnl`	GraphDOP: Towards skilful data-driven medium-range weather forecasts learnt and initialised directly from observations. CoRR Mihai Alexe, Eulalie Boucher, Peter Lean, Ewan Pinnington, Patrick Laloyaux, Anthony McNally, Simon Lang, Matthew Chantry, Chris Burrows, Marcin Chrust, Florian Pinault, Ethel Villeneuve, Niels Bormann, Sean Healy
2024	J	`jnl`	Hydra-LSTM: A semi-shared Machine Learning architecture for prediction across Watersheds. CoRR Karan Ruparell, Robert J. Marks, Andy Wood, Kieran M. R. Hunt, Hannah L. Cloke, Christel Prudhomme, Florian Pappenberger, Matthew Chantry
2024	J	`jnl`	Regional data-driven weather modeling with a global stretched-grid. CoRR Thomas Nils Nipen, Håvard Homleid Haugen, Magnus Sikora Ingstad, Even Marius Nordhagen, Aram Farhad Shafiq Salihi, Paulina Tedesco, Ivar Ambjørn Seierstad, Jørn Kristiansen, Simon Lang, Mihai Alexe, Jesper Sören Dramsch, Baudouin Raoult, Gert Mertes, Matthew Chantry
2024	J	`jnl`	Robustness of AI-based weather forecasts in a changing climate. CoRR Thomas Rackow, Nikolay Koldunov, Christian Lessig, Irina Sandu, Mihai Alexe, Matthew Chantry, Mariana Clare, Jesper Sören Dramsch, Florian Pappenberger, Xabier Pedruzo-Bagazgoitia, Steffen Tietsche, Thomas Jung
2023	J	`jnl`	WeatherBench 2: A benchmark for the next generation of data-driven global weather models. CoRR Stephan Rasp, Stephan Hoyer, Alexander Merose, Ian Langmore, Peter W. Battaglia, Tyler Russell, Alvaro Sanchez-Gonzalez, Vivian Yang, Rob Carver, Shreya Agrawal, Matthew Chantry, Zied Ben Bouallegue, Peter Dueben, Carla Bromberg, Jared Sisk, Luke Barrington, Aaron Bell, Fei Sha
2022	J	`jnl`	A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts. CoRR Lucy Harris, Andrew T. T. McRae, Matthew Chantry, Peter D. Düben, Tim N. Palmer
2021	A*	`conf`	RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery. AAAI Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Alfredo Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski
2020	J	`jnl`	RainBench: Towards Global Precipitation Forecasting from Satellite Imagery. CoRR Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Freddie Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski
2019	—	`conf`	Accelerating High-Resolution Weather Models with Deep-Learning Hardware. PASC Sam Hatfield, Matthew Chantry, Peter D. Düben, Tim N. Palmer