Training course: Machine learning for weather prediction

Name: Training course: Machine learning for weather prediction
Start: 2022-05-03T08:30:00+01:00
End: 2022-05-06T21:05:00+01:00
Location: ECMWF

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Material Package

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Contributions*

Course wrap-up, Final discussion and Q&A session with all lecturers

Deep generative models

Hands-on: Data handling with CliMetLab

Hands-on: Exercises on down scaling

Hands-on: Exercises on WeatherBench

Hands-on: Machine learning playground with iFAB data

Hands-on: Sharing datasets and code via CliMetLab

Hyper-parameter search and loss functions

Introductions

JupyterLab and European Weather Cloud (EWC)

Machine learning and Data Assimilation

Machine learning and model error

Machine learning and parametrization emulation

Machine learning and tropical cyclone detections (online)

Machine learning validation and data leakage

Neural networks and deep learning

Opportunities, Challenges and Applications in Machine Learning and routes to operational use

Overview of machine learning for weather and climate predictions

Registration opens

Regression techniques and decision trees

Uncertainty quantification

Welcome and course overview

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03/05/2022

04/05/2022

05/05/2022

06/05/2022

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3 May 09:10 - 6 May 16:45

Course code: NWP-ML

Course fee: £720

A course fee is payable by participants who do not reside in an ECMWF Member or Co-operating State.

More information about our fees

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