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Challenges and opportunities of data workflows for a Machine Learning based weather forecasting

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posted on 2023-07-13, 15:44 authored by Stephen Haddad, Nathan Creaser, Sebastian Cole, Anna-Louise Ellis, Roger Harbord

What are shared challenges and opportunities for the Earth Sciences community presented by increasing use of ML models and how can we best collaborate to address them?


This poster looks at the lessons learnt from a project to test one of the state of the art machine learning weather forecasting models to compare it to exist physics based weather forecasts systems.

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    ESIP JULY 2023

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