With interdisciplinary team including @dougmcneall.bsky.social of the Met Office (with CASE support).
27.11.2025 12:41 — 👍 0 🔁 0 💬 0 📌 0
Flood defenses protecting home surrounded by floodwater in Somerset Levels in 2014, by Matt Cardy/Getty Images, from the Atlantic
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...
27.11.2025 12:41 — 👍 2 🔁 1 💬 1 📌 2
Happy to be included if you'd like ☺️
04.01.2025 18:26 — 👍 1 🔁 0 💬 0 📌 0
Example of realistic rainfall simulations generated by a machine learning model over England and Wales (Addison et al., 2024)
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...
18.12.2024 09:51 — 👍 17 🔁 9 💬 0 📌 3
Climate scientist at the University of Edinburgh.
Researching weather and climate extremes.
Climate modelling, statistics, attribution.
#UKRIFLF Future Leaders Fellow and Associate Prof at University of Bristol, climate scientist investigating how to improve climate information for adaptation. She/her.
Climate scientist, professor at ICTP Trieste ,interested in climate extreme detection and attribution, hydroclimate, AI for climate application, IPCC AR6 lead author
Climate Scientist | Data Science Prof. | NCAR Climate Data Guide
Professor at the Department of Mathematics and Computer Science at the University of Marburg, interested in probabilistic forecasting, statistics, ML, with applications in weather, energy, environmental sciences, and beyond
Climate scientist @UCSD using machine learning to improve our understanding of clouds and aerosols. 🏄♂️
Find out more about the Climate Analytics Lab here: https://climate-analytics-lab.github.io/
Director in Environment and AI Research | @theturing.bsky.social
scotthosking.com
Professor in Meteorology and Computer Science, Director of the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES), mom to @wrmf.bsky.social and @agileschnauzers.bsky.social
Research Fellow at the University of St Andrews and NCAS in climate science and ML. Interests in climate dynamics, jet streams and long-term prediction. Formerly at University of Reading and University of Oxford.
Climate scientist. NERC Research Fellow @UniofOxford, prev Schmidt AI in Science; PostDoc @MIT, PhD @UniofOxford. #JuliaLang, open source, low carbon, free education, vegan, 🗻+🚲+🛥️. Cars ruin cities. *354ppm he|him
Earth system scientist @UFZ & Prof @TUdresden, expert on compound weather and climate events
PhD student @ufz.de and @scadsai.bsky.social. Interested in applying ML to study weather, climate, and compound extreme events.
Data Visualization Developer @ECMWF, UK | environmental data visualisation + communication | creator of http://climatearchive.org
I like waves. Professor of Atmospheric Remote Sensing @uniofbath.bsky.social.
A tupiniquim eco/hydrologist.
A monthly journal aimed at collating top-quality research across the Earth and planetary sciences. Twitter/X: @NatureGeosci
Site notice: http://bit.ly/2oAyLi1 https://www.nature.com/ngeo/
Climate scientist • Physicist • Group leader @ufz_de • Compound weather/climate extreme events • 🎨 • ❄️ • he/him
Research Engineer at Google DeepMind; Building AI for climate change mitigation & adaptation; he/him
🌍 Climate & AI scientist
🏄🏼♀️ Researcher in climate change and surfing
📍University of Cape Town (based in Bristol)
📈 Allianz climate risk award 2022 winner
She/her
