Matthew Chantry

Orcid: 0000-0002-1132-0961

According to our database1, Matthew Chantry authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Hydra-LSTM: A semi-shared Machine Learning architecture for prediction across Watersheds.
CoRR, 2024

Robustness of AI-based weather forecasts in a changing climate.
CoRR, 2024

Regional data-driven weather modeling with a global stretched-grid.
CoRR, 2024

Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications.
CoRR, 2024

Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators.
CoRR, 2024

Data driven weather forecasts trained and initialised directly from observations.
CoRR, 2024

2023
WeatherBench 2: A benchmark for the next generation of data-driven global weather models.
CoRR, 2023

2022
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts.
CoRR, 2022

2021
RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery.
CoRR, 2020

2019
Accelerating High-Resolution Weather Models with Deep-Learning Hardware.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2019


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