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Recorded as part of the Machine Learning for Climate KITP conference The theoretical understanding of the Earth system has ... Abstract: The atmospheric and oceanic turbulent circulations involve a variety of nonlinearly interacting physical processes ... Recorded 17 April 2026. Alexander Velberg of the Massachusetts Institute of Technology presents " The global ocean circulation is both driver and outcome of fluid interactions spanning Talk given at SIAM Conference on Mathematics of Planet Earth 2020, Minisymposium " Good morning everyone uh so today i'm gonna be talking about this idea of
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Learning Data-driven Subgrid-Scale Models for Geophysical Turbulence with Pedram Hassanzadeh
Tasha Smith (PhD): Understanding and parameterizing sub-grid scale processes in Earth System Models
Alexander Velberg - Data-driven discovery of sub-grid models for collisionless magnetic reconnection
Bridging scales in ocean models on data driven parameterizations of mesoscale eddies - David Kamm
4. Pedram Hassanzadeh, Data Driven Super Paramaterization for Weather and Climate Modeling
Data-Driven Control: Overview
NetPyNE2021 21 Building data driven multiscale models
DDPS | Data-driven multi-scale simulations for materials-by-design of energetic materials |Udaykumar
5. Vassili Kitsios, Data Driven Stochastic Subgrid Turbulence Parameterisation
Leveraging Subgrid-Scale Spatial Organization + Variability for Improved Cloud Fraction....
Turbulence modeling
3.1 - Data-driven modeling. Visual model fitting
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Last Updated: June 24, 2026
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![[OFW19] Data driven subgrid scale modeling for wall turbulence Profile](https://i.ytimg.com/vi/zuR1rZeQzps/mqdefault.jpg)
