iiinova — where your digital self keeps evolving

Simon Driscoll @simon-driscoll.bsky.social · 30/10/2025

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...

meetingorganizer.copernicus.org

Session NP4.2

010

Simon Driscoll @simon-driscoll.bsky.social · 08/07/2025

Deadline: Wednesday, 30 July 23:59 EDT/03:59 UTC Session Coveners: Simon Driscoll (Cambridge), Sara Shamekh (NYU), Akshay Subramaniam (NVIDIA), Aakash Sane (Princeton), Karan Jakhar (Chicago/Rice) We look forward to seeing you all there!

010

Simon Driscoll @simon-driscoll.bsky.social · 08/07/2025

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...

agu.confex.com

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...

101

Simon Driscoll @simon-driscoll.bsky.social · 24/06/2025

Deadline: Wednesday, 30 July 23:59 EDT/03:59 UTC Session Coveners: Simon Driscoll (University of Cambridge), Sara Shamekh (New York University), Akshay Subramaniam (NVIDIA), Aakash Sane (Princeton University - @aakashsane.bsky.social), Karan Jakhar (University of Chicago/Rice University)

020

Simon Driscoll @simon-driscoll.bsky.social · 24/06/2025

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...

agu.confex.com

Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation and Hybrid Modeling

120

Simon Driscoll @simon-driscoll.bsky.social · 04/04/2025

The official link is only in Italian but you can download the call in English from the main page linked below under “Call for applications”. Share widely! :)

010

Simon Driscoll @simon-driscoll.bsky.social · 04/04/2025

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-...

bandi.unibo.it

Rif. 1508 - Bando per 1 posto da ricercatore a tempo determinato tipo A - DIFA - GSD 02/PHYS-05 - SSD PHYS-05/B - BO

210

Simon Driscoll @simon-driscoll.bsky.social · 21/01/2025

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-...

blogs.reading.ac.uk

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…

021

Reposted by Simon Driscoll

Aakash Sane @aakashsane.bsky.social · 11/12/2024

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... 🌊

agu.confex.com

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...

122

Simon Driscoll @simon-driscoll.bsky.social · 28/11/2024

Thank you Dominic! :) Hope things go great, and see you soon indeed! :)

000

Simon Driscoll @simon-driscoll.bsky.social · 28/11/2024

(4/4) Conveners: Simon Driscoll (Reading), Sara Shamekh (NYU/Courant), Aakash Sane (Princeton - @aakashsane.bsky.social), Laura Mansfield (Stanford/now Oxford - @lauramansfield.bsky.social), Michael Bosilovich (NASA), Arun Kumar (NOAA); ECR: Will Gregory (Princeton - @willjgregory.bsky.social).

140

Simon Driscoll @simon-driscoll.bsky.social · 28/11/2024

(3/4) If this is interesting then consider our AGU session where this and more like it will be being presented as talks: agu.confex.com/agu/agu24/me... and as posters: agu.confex.com/agu/agu24/me... Please get in contact if there’s anything I can help you with. Look forward to seeing you there!

agu.confex.com

Data-Driven Science: Developments in Machine Learning Subgrid-Scale Parameterizations and in Reanalyses Across Earth System Modeling I Oral

131

Simon Driscoll @simon-driscoll.bsky.social · 28/11/2024

(2/4) Incorporating physics-informed metrics into the equation discovery approach, they developed a model that accurately captures inter-scale energy and enstrophy transfers; leading to the model outperforming traditional physics-based models in representing extreme events and improving forecasting.

100

Simon Driscoll @simon-driscoll.bsky.social · 28/11/2024

(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.

171