Search Results for author: Matthew Chantry

Found 4 papers, 1 papers with code

WeatherBench 2: A benchmark for the next generation of data-driven global weather models

1 code implementation29 Aug 2023 Stephan Rasp, Stephan Hoyer, Alexander Merose, Ian Langmore, Peter Battaglia, Tyler Russel, 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 is an update to the global, medium-range (1-14 day) weather forecasting benchmark proposed by Rasp et al. (2020), designed with the aim to accelerate progress in data-driven weather modeling.

Weather Forecasting

A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts

no code implementations5 Apr 2022 Lucy Harris, Andrew T. T. McRae, Matthew Chantry, Peter D. Dueben, Tim N. Palmer

Despite continuous improvements, precipitation forecasts are still not as accurate and reliable as those of other meteorological variables.

Super-Resolution Weather Forecasting

Machine learning emulation of gravity wave drag in numerical weather forecasting

no code implementations20 Jan 2021 Matthew Chantry, Sam Hatfield, Peter Duben, Inna Polichtchouk, Tim Palmer

By training on an increased complexity version of the existing parameterisation scheme we build emulators that produce more accurate forecasts.

Weather Forecasting Atmospheric and Oceanic Physics Computational Physics

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