Pierre Gentine
Harnessing AI to confront environmental challenges
AI for Climate and Nature Spring Convening - Bezos Earth Fund - October 💻 🎆

Julia Simpson
Improving Parameterizations of Heat + Momentum Air-Sea Fluxes
LEAP Research Updates - September 💻 🎆

Laure Zanna
(Keynote) AI-augmented climate Simulators and Emulators
OMDP/COMMODORE Workshop - September 💻 🎆 🌎

Marika Holland
The influence of historical forcing uncertainty on simulated Arctic change.
IARPC Collaborations - August 📊 🌎

Laure Zanna, Sara Shamekh, Pierre Gentine
Navigating the Academic Search Process
LEAP Professional Development Series

Paul O'Gorman
AMIT's BC3 and Climate and Weather Extremes
ICCS Cross VESRI Journal - February 💻 🎆

Will Chapman
Advancing Weather and Climate Prediction with Data Driven Methods
Paul G. Allen School - February 💻 🌎

Laure Zanna
Accelerating Discovery in Climate Physics with Machine Learning
Simons foundation Presidential Lecture - February 💻 🎆

Pierre Gentine
AI in Climate Science: From Emulation to New Discoveries
Simons foundation Presidential Lecture - February 💻 🎆

Pierre Gentine
Machine learning across scales to improve climate models: from emulation to discoveries
Mathematics of Climate - February 💻 🎆 🌎

Aakash Sane
Parameterizing Vertical Mixing Coefficients in the Ocean Surface Boundary Layer Using Neural Networks
CESM OMWG - February 💻 🎆

Paul O'Gorman
Improving climate models using machine learning
MIT Generative AI Week - November 💻 🎆 🌎

Laure Zanna
A New Generation of Global Climate Models Augmented by AI
Distinguished Seminar Series in Computational Science and Engineering - October 2023 💻 🎆 🌎

Laure Zanna
Ocean and Atmosphere Dynamics
Climatematch academy - July 💻 🎆

Pavel Perezhogin
Machine-Learned parameterizations of mesoscale eddies in MOM6 ocean model: convolutional neural network and symbolic regression
28th Annual CESM Workshop - June 💻 🌎

Fabrizio Falasca
Exploting the nonstationarity of coastal sea level probability distributions
NOAA-CVP Webinar Series 2023 - April 💻 🎆

Pavel Perezhogin
Generative data-driven approaches for stochastic subgrid parameterizations in an idealized ocean model
NEMO working group on Machine-Learning - April 💻 🎆 🌎

Laure Zanna
Transforming Climate Modeling with AI: hype or Reality?
UN AI for Good - March 💻 🌎

Janni Yuval
Neural-network parameterization of subgrid momentum transport learned from a high-resolution simulation
23rd AMS Conference on Atmospheric and Oceanic Fluid Dynamics - June 💻 🎆

Aakash Sane
Parameterizing Vertical Turbulent Mixing Coefficients In The Ocean Surface Boundary Layer Using Neural Networks
February 💻 🎆

Lorenzo Zampieri
On the design strategy of subgrid parameterizations in modern sea ice models
Arctic Model Parameterization Development - December 22nd 💻 🌎

Ryan Abernathey
Climate Science and AI in Big Tech
Climate Change AI Webinar Series - December 15th 📊 💻
NOTE: You can find all the talks and posters our members gave at the AGU Fall meeting in our December 2022 newsletter.

Pierre Gentine
Physics to Machine Learning and Machine Learning Back to Physics
Columbia Center of AI Technology - December 7th 💻 🎆

Laure Zanna and Steven Brunton
Machine learning in fluid dynamics and climate physics
Nature Reviews Physics + Alan Turing Institute - October 5th 💻 🎆

Laure Zanna
Machine Learning for Ocean and Climate Modeling: advances, challenges and outlook
LEAP Seminar - September 22nd 💻 🎆 🌎

Laure Zanna
AI for Climate Physics
Hammers and Nails - August 4th 💻 🎆 🌎

Laure Zanna
Plenary talk
SIAM conference on Mathematics for Planet Earth - July 13th 💻 🎆 🌎
NOTE: More info at this website.

Laure Zanna
Joint plenary talk with Galen McKinley on M²LInES and LEAP
2022 CESM Workshop - June 13th 💻 🎆 🌎

Laure Zanna
Machine Learning for Mesoscale Closures in Ocean Models
NCAR Mesoscale & Microscale Meteorology Laboratory - June 2nd 💻 🎆 🌎

Pierre Gentine
Can Artificial Intelligence Help Us Better Project Climate Change?
The Artificial Intelligence for Good Group - May 4th 💻 🎆 🌎

Andrew Ross
Panel discussion on the future of model interpretability at the ICLR workshop on AI for Earth and Space Science - April 29th
NOTE: You can find the panel on the top main video at 7:49:25 here .

Laure Zanna
Online implementation of Machine Learning Eddy Parameterizations in a Hierarchy of Ocean Models
Ocean Sciences Meeting - March 4th 💻 🎆 🌎

Mitch Bushuk
Mechanisms of Regional Arctic Sea Ice Predictability in Dynamical Seasonal Forecast Systems
Ocean Sciences Meeting - March 3rd 🎆

Ryan Abernathey
OpenOceanCloud: A New Approach to Ocean Data and Computing
Ocean Sciences Meeting - March 3rd 📊

Lorenzo Zampieri
A machine learning correction model for the warm bias over Arctic sea ice in atmospheric reanalyses
Ocean Sciences Meeting - March 1st 💻 🎆

Dhruv Balwada
Tracer Ventilation, Stirring, and Variability in the Antarctic Circumpolar Current
Ocean Sciences Meeting - March 1st 🎆

Brandon Reichl
A potential energy analysis of ocean surface mixed layers
Ocean Sciences Meeting - February 28th

Andrew Ross
Evaluating machine learning parameterizations of ocean subgrid forcing
Ocean Sciences Meeting - February 28th 💻 🎆

Dhruv Balwada
Direct observational estimate of the dual kinetic energy cascade and its seasonality at the surface ocean from surface drifters
Ocean Sciences Meeting - February 28th 🎆

Ryan Abernathey
OpenOceanCloud - Transforming oceanography with a new approach to data and computing
Ocean Data Conference - February 15th 📊

Ryan Abernathey
Workshop AI for Earth Sciences
The National Academies Board on Atmospheric Sciences and Climate - February 10th 📊 💻 🎆

Pierre Gentine
Workshop AI for Earth Sciences
The National Academies Board on Atmospheric Sciences and Climate - February 7th 💻 🎆

Laure Zanna
Data-driven turbulence closures for ocean and climate models: advances and challenges
UW Data-driven methods in science and engineering seminar - February 4th 💻 🎆