Joel Oskarsson: Frontiers in machine learning for weather forecasting

Описание: This seminar is a collaboration with CCAI Nordics – ccainordics.com.

Title: Frontiers in machine learning for weather forecasting

Speaker: Joel Oskarsson, Linköping University

Abstract: Recent years have seen rapid progress in using machine learning models for weather forecasting. These models show impressive performance, matching or even outperforming existing physics-based models, while running in a fraction of the time. This is fundamentally and rapidly changing the landscape of weather forecasting today. In this talk I will discuss the factors that enabled this paradigm shift, the core machine learning methods used and the research questions at the bleeding edge of machine learning for weather. In particular I will focus on how current methods can be extended to regional and probabilistic forecasting. For regional forecasting I will showcase graph-based methods for building limited area weather forecasting models. I will also discuss how generative machine learning methods can enable probabilistic forecasting, giving much-needed estimates of uncertainty and allowing for predicting extreme weather events.

About the speaker: Joel Oskarsson got his MSc in computer science and engineering from Linköping University in 2020, where he is now a PhD student working on probabilistic machine learning. In his research he develops machine learning methods for data with spatial-, temporal- and graph-structure, including combinations of these. He is also interested in applications of these methods to earth system modeling. https://joeloskarsson.github.io/

Location: This is an online seminar. Connect using Zoom.

Date: 2024-11-07 15:00

Zoom link: https://rise.zoom.us/j/69691371971?pw...

Upcoming seminars:

2024-11-21: Alp Kucukelbir, Columbia University
2024-11-28: Alireza Taheri Dehkordi, Lund University, digital and physical: Scheelevägen 17, Lund
2024-12-12: Amal Nammouchi, Karlstad University and AfriClimate AI
2025-01-16: Oscar Täckström, Sana Labs
All seminars are 15:00 CET.

More information and coming seminars: https://ri.se/lm-sem

– The Learning Machines Team