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Matthew Chantry
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2020 – today
- 2024
- [i6]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:
Data driven weather forecasts trained and initialised directly from observations. CoRR abs/2407.15586 (2024) - [i5]Marieke Wesselkamp, Matthew Chantry, Ewan Pinnington, Margarita Choulga, Souhail Boussetta, Maria Kalweit, Joschka Boedecker, Carsten F. Dormann, Florian Pappenberger, Gianpaolo Balsamo:
Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators. CoRR abs/2407.16463 (2024) - [i4]Tom Beucler, Arthur Grundner, Sara Shamekh, Peter Ukkonen, Matthew Chantry, Ryan Lagerquist:
Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications. CoRR abs/2408.02161 (2024) - 2023
- [i3]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:
WeatherBench 2: A benchmark for the next generation of data-driven global weather models. CoRR abs/2308.15560 (2023) - 2022
- [i2]Lucy Harris, Andrew T. T. McRae, Matthew Chantry, Peter D. Düben, Tim N. Palmer:
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts. CoRR abs/2204.02028 (2022) - 2021
- [c2]Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Alfredo Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski:
RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery. AAAI 2021: 14902-14910 - 2020
- [i1]Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Freddie Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski:
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery. CoRR abs/2012.09670 (2020)
2010 – 2019
- 2019
- [c1]Sam Hatfield, Matthew Chantry, Peter D. Düben, Tim N. Palmer:
Accelerating High-Resolution Weather Models with Deep-Learning Hardware. PASC 2019: 1:1-1:11
Coauthor Index
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