Masterclass | Applications of Machine Learning in Meteorology
LOCATION
This short masterclass is designed for meteorologists who are considering using machine learning in their research but don't know where to start. We will cover some basic theory and pitfalls of machine learning before moving on to some worked applications. We will start with some jargon busting: discussing what loss functions, validation, and hyperparameter tuning are and why they're important. We will then discuss why overfitting occurs and how to avoid it, as well as when not(!) to use machine learning. Finally we will go through some simple applied examples for common methods for dealing with spatial data, temporal/sequential data, tabular data, and model explainability.
Speaker
Dr Kieran Hunt
Dr Kieran Hunt is a Senior Research Scientist in Tropical and Himalayan Meteorology in the Department of Meteorology at the University of Reading. He completed his PhD there in 2016, on the topic of Indian monsoon depressions, following graduation from his physics degree in Oxford in 2013. His postdoctoral research focused on monsoon low-pressure systems and western disturbances, fields in which he has made numerous discoveries. These contributions were recognised in 2022, when he was awarded the prestigious NERC Independent Research Fellowship. In 2023, he became the co-director of the newly-established Hub for Applied Weather and Climate. Kieran has a wide range of interests aside from those listed above, including climate change, hydrological forecasting, and developing novel machine learning and AI techniques for meteorology. He has also collaborated extensively with scientists from across India over the last decade. At Reading, he has taught on a wide range of subjects, including machine learning and numerical weather prediction.
Responder
Isla Finney, director of Lake Street Consulting Ltd
Isla Finney is the director of Lake Street Consulting Ltd, a small weather consultancy firm which aims to help clients from a variety of sectors interpret weather forecasts, and their associated uncertainty, to enable them to work with the weather.
Isla has a rare combination of a research background to postdoctoral fellowship level and over 2 decades’ international commercial business experience. Her commercial experience includes working as the meteorologist on energy trading desks in the City, and trading her own energy book at a hedge fund. She has close working relationships with key academics, as well as in industry, and enjoys cross-pollination of ideas.
Registration
REGISTRATION IS NOW CLOSED
Registration for this event is closed.
If you have any queries with regards to this event or require any further information please contact us at meetings@rmets.org.
We take data privacy seriously. Please read the RMetS privacy policy to find out more.
Masterclass Series Abstract
Continuing its online Meteorological Masterclasses in partnership with the University of Reading, the Society is pleased to announce a new series for Autumn 2024.
During this series, three leading experts from the University of Reading will discuss the latest scientific advances for understanding and predicting weather, climate, and its impacts.
These masterclasses are intended to provide support for professionals working in Meteorology and Climate Science, and its operational applications who wish to remain up to date on recent scientific developments in the field.
This short masterclass is designed for meteorologists who are considering using machine learning in their research but don't know where to start. We will cover some basic theory and pitfalls of machine learning before moving on to some worked applications. We will start with some jargon busting: discussing what loss functions, validation, and hyperparameter tuning are and why they're important. We will then discuss why overfitting occurs and how to avoid it, as well as when not(!) to use machine learning. Finally we will go through some simple applied examples for common methods for dealing with spatial data, temporal/sequential data, tabular data, and model explainability.
Speaker
Dr Kieran Hunt
Dr Kieran Hunt is a Senior Research Scientist in Tropical and Himalayan Meteorology in the Department of Meteorology at the University of Reading. He completed his PhD there in 2016, on the topic of Indian monsoon depressions, following graduation from his physics degree in Oxford in 2013. His postdoctoral research focused on monsoon low-pressure systems and western disturbances, fields in which he has made numerous discoveries. These contributions were recognised in 2022, when he was awarded the prestigious NERC Independent Research Fellowship. In 2023, he became the co-director of the newly-established Hub for Applied Weather and Climate. Kieran has a wide range of interests aside from those listed above, including climate change, hydrological forecasting, and developing novel machine learning and AI techniques for meteorology. He has also collaborated extensively with scientists from across India over the last decade. At Reading, he has taught on a wide range of subjects, including machine learning and numerical weather prediction.
Responder
Isla Finney, director of Lake Street Consulting Ltd
Isla Finney is the director of Lake Street Consulting Ltd, a small weather consultancy firm which aims to help clients from a variety of sectors interpret weather forecasts, and their associated uncertainty, to enable them to work with the weather.
Isla has a rare combination of a research background to postdoctoral fellowship level and over 2 decades’ international commercial business experience. Her commercial experience includes working as the meteorologist on energy trading desks in the City, and trading her own energy book at a hedge fund. She has close working relationships with key academics, as well as in industry, and enjoys cross-pollination of ideas.
Registration
REGISTRATION IS NOW CLOSED
Registration for this event is closed.
If you have any queries with regards to this event or require any further information please contact us at meetings@rmets.org.
We take data privacy seriously. Please read the RMetS privacy policy to find out more.
Masterclass Series Abstract
Continuing its online Meteorological Masterclasses in partnership with the University of Reading, the Society is pleased to announce a new series for Autumn 2024.
During this series, three leading experts from the University of Reading will discuss the latest scientific advances for understanding and predicting weather, climate, and its impacts.
These masterclasses are intended to provide support for professionals working in Meteorology and Climate Science, and its operational applications who wish to remain up to date on recent scientific developments in the field.
