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Session 5.1 - Machine learning - ROOM II
Nov 20, 2024 — 02:45 pm - 4:30 PMRoom II
Room II
Presented by
CA
Carolina Amadio
OGS
Researcher
HB
Hannah Bull
Amphitrite
Head of AI
MKD
Mohan Kumar DAS
National Oceanographic And Maritime...
Scientist
AG
Aina Garcia
ICM-CSIC
Data scientist
PH
Patrick Heimbach
UT Austin
Professor
DH
Dante Horemans
Virginia Institute of Marine Science
Postdoctoral Research Associate
GMB
Gabriela Martinez Balbontin
MOi
AI researcher
Chair: G. Martinez Balbontin - Mercator Ocean International
Rapporteur: J. Skakala - Plymouth Marine Laboratory
Ocean Forecasting for Biogeochemical Parameters Using Copernicus Marine Data in the Global Ocean, Bay of Bengal, and Mediterranean Water
M.K. Das - National Oceanographic And Maritime Institute (NOAMI)
Optimizing Global-Scale Seasonal Marine Biogeochemical Forecasting with Compact Neural Networks
G. Martinez Balbontin - Mercator Ocean International
Differentiable Programming for hybrid ocean data assimilation and machine learning
P. Heimbach - UT Austin
Integrating SWOT data into a deep learning model for real-time high-resolution prediction of ocean surface currents
H. Bull - Amphitrite
Integrating BGC-Argo predicted profiles via Convolutional Neural Networks into the Data Assimilation of the Copernicus Mediterranean biogeochemical model
C. Amadio - OGS
Model-Based Feasibility of Using Data-Driven Techniques to Reconstruct Ocean Interiors from Surface and In-Situ Data
A. Garcia - ICM-CSIC
Evaluating the prediction skill of correlative estuarine species distribution models trained with mechanistic model output
D. Horemans - Virginia Institute of Marine Science
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