Simon Driscoll
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simon-driscoll.bsky.social
Simon Driscoll
@simon-driscoll.bsky.social
Assistant (Research) Professor, Department of Applied Mathematics and Theoretical Physics (ICCS), Uni of Cambridge. DPhil Oxford Physics.

Reading Uni (SASIP, Schmidt Sciences). ATI 2025.

ML/AI, physics, climate, & more.
Myself, Sebastian Schemm & Tom Beucler are delighted to announce abstract submission is now open for: “Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation and Hybrid Modeling” at #EGU26

Details: meetingorganizer.copernicus.org/EGU26/sessio...
Session NP4.2
meetingorganizer.copernicus.org
October 30, 2025 at 3:30 PM
Reposted by Simon Driscoll
🌧️ Dr @simon-driscoll.bsky.social , one of ICCS's Early Career Advanced Fellows, is quoted in this piece in The National 👇

www.thenationalnews.com/news/2025/08...
Is AI the secret to forecasting our changing climate? | The National
New approaches to predicting the weather and wildfires are emerging
www.thenationalnews.com
September 2, 2025 at 10:45 AM
Deadline extended one day to 5pm EDT 31st July! :)

Check out our great presenters and submit your abstracts on ML for SGS parameterizations, emulation and hybrid modelling here: agu.confex.com/agu/agu25/pr...
July 30, 2025 at 11:35 PM
Join our invited speakers - Ching-Yao Lai (Stanford), Sophie Abramian (Columbia), and Adam Subel (NYU) - at our #AGU25 session, "Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation and Hybrid Modeling".

Details: agu.confex.com/agu/agu25/pr...
Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation and Hybrid Modeling
Machine learning is reshaping the representation of complex physical processes in Earth system models, offering new avenues for parameterization, emulation, and hybrid modeling. This session focuses o...
agu.confex.com
July 8, 2025 at 10:53 PM
We are excited to announce our AGU 2025 session has been accepted! Join us in New Orleans, December 15–19, 2025 for “Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation and Hybrid Modeling”.

Abstract submission: agu.confex.com/agu/agu25/pr...
Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation and Hybrid Modeling
Machine learning is reshaping the representation of complex physical processes in Earth system models, offering new avenues for parameterization, emulation, and hybrid modeling. This session focuses o...
agu.confex.com
June 24, 2025 at 5:24 AM
Myself and Andrew Charlton-Perez talk to Annalee Newitz @annaleen.bsky.social for the New Scientist about AI, weather and climate - involving some of our/our groups recent (and upcoming) research.

Article out today:

www.newscientist.com/article/mg26...

@newscientist.com #ai #ml #weather #climate
Storm clouds threaten a promised AI revolution in weather prediction
New AI models from tech giants are set to revolutionise weather prediction. But as our climate becomes more extreme, we need to ensure broad public access to their forecasts, says Annalee Newitz
www.newscientist.com
May 28, 2025 at 10:15 PM
An article on "Anemoi: open-source winds of change in European weather forecasting" by Prof. Hannah Cloke (@hancloke.bsky.social) is the topic of the latest @unirdg-met.bsky.social research blog.

You can check it out here!

blogs.reading.ac.uk/weather-and-...
Anemoi: open-source winds of change in European weather forecasting
By: Prof Hannah Cloke, Department of Meteorology, University of Reading and ECMWF Fellow Earlier this month I opened my inbox to the welcome news that the European Meteorological Society has chosen…
blogs.reading.ac.uk
May 11, 2025 at 12:17 PM
3 years Junior Assistant professor position in the area of DA and ML at the University of Bologna! Deadline: April 18 at 12:00pm CEST.

Contact Prof Alberto Carrassi: alberto.carrassi@unibo.it and apos.ricercatoritempodeterminato@unibo.it for more details.

bandi.unibo.it/s/apos5/rif-...
Rif. 1508 - Bando per 1 posto da ricercatore a tempo determinato tipo A - DIFA - GSD 02/PHYS-05 - SSD PHYS-05/B - BO
bandi.unibo.it
April 4, 2025 at 4:03 PM
An article on "Applying solar wind data assimilation to the WSA coronal model" by Dr. Harriet Turner @harrietturner.bsky.social is the topic of our latest @uor-research.bsky.social research blog.

You can check it out here!

blogs.reading.ac.uk/weather-and-...
Applying solar wind data assimilation to the WSA coronal model
By: Dr. Harriet Turner The solar wind is a constant stream of charged particles that flows from the Sun and fills the solar system. It is an important aspect of space weather, which is the term we …
blogs.reading.ac.uk
March 30, 2025 at 3:05 PM
An article on "Reconciling Earth’s growing energy imbalance with ocean warming" by Prof. Richard Allan (@rpallanuk.bsky.social) is the topic of our latest research blog.

You can check it out here!

blogs.reading.ac.uk/weather-and-...
Reconciling Earth’s growing energy imbalance with ocean warming
By: Prof. Richard Allan (Professor of Climate Science) The exceptional global warmth of 2023 and 2024 generated much idle chit chat in Meteorological circles and following a summer Met department c…
blogs.reading.ac.uk
March 23, 2025 at 11:39 PM
An article on "The value of observations for weather prediction in the age of machine learning" by Prof. Sarah Dance is the topic of our latest research blog.

You can check it out here!

blogs.reading.ac.uk/weather-and-...
The value of observations for weather prediction in the age of machine learning
By: Prof Sarah Dance (Professor of Data Assimilation) Last week, on 25th February 2025, our colleagues at ECMWF (European Centre for Medium-range Weather Forecasts) took their deep-learning-based g…
blogs.reading.ac.uk
March 10, 2025 at 9:59 AM
An article on "Is climate change shifting the North Pacific jet stream?" by Dr. Matthew Patterson is the topic of our latest research blog.

You can check it out here!

blogs.reading.ac.uk/weather-and-...
Is climate change shifting the North Pacific jet stream?
By: Dr. Matthew Patterson Wavy bands of fast flowing air, called jet streams, are some of the most recognisable features of the Earth’s atmospheric circulation (figure 1). They have a critical impa…
blogs.reading.ac.uk
March 2, 2025 at 9:47 PM
An article on the "Impact of Hydrogen on Atmospheric Composition and Climate" by Dr. Tanusri Chakraborty is the topic of our latest research blog.

You can check it out here!

blogs.reading.ac.uk/weather-and-...
Impact of Hydrogen on Atmospheric Composition and Climate
By: Dr. Tanusri Chakraborty As we move toward net-zero and low-carbon emissions, Hydrogen (H₂) is expected to play a crucial role as an alternative energy source. H₂ is considered a clean fuel, as …
blogs.reading.ac.uk
February 23, 2025 at 7:13 PM
An article on "Renewable energy lulls: understanding European weather for when the wind doesn’t blow and the sun doesn’t shine" by Dr. M Salim Poovadiyil is the topic of our latest research blog.

You can check it out here!

blogs.reading.ac.uk/weather-and-...
Renewable energy lulls: understanding European weather for when the wind doesn’t blow and the sun doesn’t shine
By: Salim Poovadiyil Weather and climate model data play an increasingly vital role in assessing climate risks within energy system operations and planning. The reliability of these assessments hea…
blogs.reading.ac.uk
January 21, 2025 at 5:07 PM
Reposted by Simon Driscoll
Are you interested in knowing about the latest developments in sub-grid scale parameterizations in Earth System Models? Attend our AGU24 session on Thursday, 12 Dec. from 8.00 to 10.00 am, location: Marquis 12-13 (Marriott Marquis)
agu.confex.com/agu/agu24/me...
🌊
Data-Driven Science: Developments in Machine Learning Subgrid-Scale Parameterizations and in Reanalyses Across Earth System Modeling I Oral
Subgrid-scale (SGS) parameterizations estimate effects of unresolved processes without modeling them directly and are often a large source of uncertainty in Earth system models (ESMs). The need to imp...
agu.confex.com
December 11, 2024 at 11:59 PM
(1/4) Karan Jakhar (University of Chicago and Rice University) and his colleagues used machine learning to develop a subgrid-scale parameterization for geophysical turbulence that is not only effective but also analytically derivable using Taylor series expansion.
November 28, 2024 at 8:15 PM