Meet the M²LInES team
NYU, Courant Institute + Center for Data Science
Ocean - Climate - Machine Learning
NYU, Courant Institute
Project Management, Oceanography, Sciences Communication
Princeton University, Affiliate NOAA-GFDL in Ocean division
Ocean - Model Development
NYU, Courant Institute + Center for Data Science
ML - Signal Processing
NYU, Courant Institute + Computer Science + Center for Data Science
ML - Signal Processing
Lamont/Columbia University
Ocean - Data
NOAA-GFDL in Ocean division
Ocean - Geophysical Fluid Dynamics
Princeton University, Affiliate NOAA-GFDL in Seasonal-decadal division
Ocean - Data assimilation - Seasonal prediction
National Center for Atmospheric Research
Atm - Data Assimilation - Mesoscale and Microscale Meteorology
National Center for Atmospheric Research
Sea-Ice parameterizations
UCAR, Affiliate NOAA-GFDL in Ocean division
Sea Ice - Data Assimilation - Predictability
Columbia University
Atm Processes
MIT
Atm - Convection
IPSL
Ocean - Models and model tuning
L’Institut des Géosciences de l’Environnement (IGE)
Ocean Fine Scale Processes, Ocean Circulation Models
NYU, Courant Institute
Machine learning, Statistics
MIT
Atm - Climate, Machine Learning
Columbia University
Atmospheric Boundary Layer and Machine Learning
Princeton University, Affiliate NOAA-GFDL in Ocean Division
Ocean Surface Boundary Layer, Machine Learning
NYU, Courant Institute
ML - Interpretability
National Center for Atmospheric Research
Sea Ice - HR data and observations - Modelling and Predictability
NYU, Courant Institute
ML - Interpretability and Deep Learning
Princeton University
Ocean - Predictability, and Machine Learning
NYU, Courant Institute
Atm - Ocean - Machine Learning
Lamont/Columbia University
Ocean macro-turbulence and tracer transport
Princeton University
Ocean - Modelling, Machine learning, Data assimilation
L’Institut des Géosciences de l’Environnement (IGE)
Ocean - Computational fluid mechanics, turbulence…
NYU, Courant Institute
Ocean - ML, Momentum closures in ocean, Large-eddy simulation
National Center for Atmospheric Research
Atm - Data Assimilation - ML
Princeton University, Affiliate NOAA-GFDL
Sea ice - Data Assimilation - ML - predictability
NYU, Courant Institute
Ocean surface processes, Ocean modeling
NYU, Courant Institute
Ocean - Sea level variability
Columbia University
Data Assimilation and Deep Learning
NYU, Courant Institute
ML - Simulation
Columbia University
Model order reduction and Physics-informed Machine Learning
L’Institut des Géosciences de l’Environnement (IGE)
Ocean - ML - Turbulence paramezizations
Columbia University
Atm - ML
NYU, Courant Institute
Ocean - Data mining, Complex systems, Dynamical systems
NYU, Courant Institute
ML - Parametrization
NYU, Courant Institute
Ocean Mesoscale and Submesoscale Turbulence; Arctic Dynamics
Columbia University
Atm - Boundary Layer - ML
Lamont/Columbia University
Atmospheric statistics, Software architecture, Principal component analysis
L’Institut des Géosciences de l’Environnement (IGE)
Ocean - Data Assimilation- Machine Learning
NYU, Courant Institute
Deep Learning - Simulations
NYU, Courant Institute
ML, Signal Processing
Princeton University
Ocean - Eddy parameterizations, Modeling, ML
IPSL
Ocean Modeling, Eddy Parameterizations
