Accurate weather forecasts, based on mathematical models derived from physical principles, are computationally expensive. This challenge is exacerbated by the increasing frequency of extreme weather events due to climate change. In contrast to physics-based models, black box deep learning approaches are highly efficient at weather prediction but are difficult to unpack. The aim of this workshop is to create synergy between theory and applications in climate science. The workshop will bring together academic experts and non-academic practitioners in mathematics, machine learning and climate science to discuss new ways on how mathematical and machine learning based approaches can be used in climate science.
To register for the workshop, please complete this form by 14 May 2024.
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Tuesday 28 May |
|
| 12.30 | Lunch |
| 14.00 | Dr Philip Brohan, Met Office |
| 14.40 | Coffee break |
| 15.10 | Dr James Jackaman, Norwegian University of Science and Technology (NTNU) |
| 15.50 | Dr Noelia Otero Felipe, Fraunhofer Heinrich Hertz Institute HHI |
|
Wednesday 29 May |
|
| 10.00 | Dr Ben Shipway, met Office |
| 10.40 | Coffee break |
| 11.10 | Dr Eike Müller, University of Bath |
| 11.50 | Dr Sarah Wilson-Kemsley, University of East Anglia |
| 12.30 | Lunch |
| 14.00 | Dr Ritabrata Dutta, University of Warwick |
| 14.40 | Coffee break |
| 15.10 | Rachel Furner, British Antarctic Survey & University of Cambridge |
| 15.50 | Dr George Datseris, University of Exeter |
|
Thursday 30 May |
|
| 10.00 | Dr Peter Watson, University of Bristol |
| 10.40 | Coffee break |
| 11.10 | Dr Francisco De Melo, Grantham Research Institute on Climate Change and the Environment, LSE |
| 11.50 | Dr Bedartha Goswani, Cluster of Excellence “Machine Learning” – University of Tübingen |
| 12.30 | Lunch |
The workshop will take place in:
The Wolfson is located on the lowest level of 4 West. When accessing from the parade, head down the stairs and turn left at the bottom.
Details on how to get to campus, including bus services and parking information, can be found here.
