Peter Watson
@peteragwatson.bsky.social
Climate scientist at University of Bristol, most interested in present/future extreme climatic event risk and improving our prediction models, including with AI. https://www.climatebristol.org/people/peter-watson/
2026 PhD opportunity to develop applications of machine learning/AI tools to better understand extreme weather event risk and how it will be affected by climate change.
In the GW4+ PhD program: www.nercgw4plus.ac.uk/projects-202....
Apply at www.bristol.ac.uk/study/postgr...
In the GW4+ PhD program: www.nercgw4plus.ac.uk/projects-202....
Apply at www.bristol.ac.uk/study/postgr...
November 27, 2025 at 12:41 PM
2026 PhD opportunity to develop applications of machine learning/AI tools to better understand extreme weather event risk and how it will be affected by climate change.
In the GW4+ PhD program: www.nercgw4plus.ac.uk/projects-202....
Apply at www.bristol.ac.uk/study/postgr...
In the GW4+ PhD program: www.nercgw4plus.ac.uk/projects-202....
Apply at www.bristol.ac.uk/study/postgr...
Happy to share Bobby Antonio's paper on applying generative machine learning to improve skill at forecasting rainfall in East Africa: doi.org/10.1029/2024...
Particularly interesting aspects are improvements in the diurnal cycle and getting good performance in an extreme season.
Particularly interesting aspects are improvements in the diurnal cycle and getting good performance in an extreme season.
Postprocessing East African Rainfall Forecasts Using a Generative Machine Learning Model
We combine generative machine learning with conventional postprocessing to improve short range precipitation forecasts over East Africa The postprocessed forecasts show substantial improvements c...
doi.org
March 19, 2025 at 11:21 AM
Happy to share Bobby Antonio's paper on applying generative machine learning to improve skill at forecasting rainfall in East Africa: doi.org/10.1029/2024...
Particularly interesting aspects are improvements in the diurnal cycle and getting good performance in an extreme season.
Particularly interesting aspects are improvements in the diurnal cycle and getting good performance in an extreme season.
PhD opportunity at Bristol: "Machine Learning for Understanding Extreme Weather in a Changing Climate". Please share with potential applicants. Deadline is Jan 31 12:00.
www.bristol.ac.uk/geography/co...
www.bristol.ac.uk/media-librar...
www.bristol.ac.uk/geography/co...
www.bristol.ac.uk/media-librar...
December 18, 2024 at 9:51 AM
PhD opportunity at Bristol: "Machine Learning for Understanding Extreme Weather in a Changing Climate". Please share with potential applicants. Deadline is Jan 31 12:00.
www.bristol.ac.uk/geography/co...
www.bristol.ac.uk/media-librar...
www.bristol.ac.uk/geography/co...
www.bristol.ac.uk/media-librar...