Pierre Lermusiaux

Massachusetts Institute of Technology
Department of Mechanical Engineering
Room 5-207B, 77 Massachusetts Avenue
Cambridge, MA 02139-4301

Tel: 617-324-5172
Fax: 617-324-3541
Email: pierrel at mit.edu

Group Web: http://mseas.mit.edu/

Recent Papers
Complete Set of Papers


Our research vision is to develop and transform ocean modeling and data assimilation to quantify regional ocean dynamics on multiple scales. Our group creates and utilizes new models and methods for multiscale modeling, uncertainty quantification, data assimilation and the guidance of autonomous vehicles. We then apply these advances to better understand physical, acoustical and biological interactions. Our environment is collaborative within a lively group of students and researchers. We seek both fundamental and applied contributions to build knowledge and benefit society.


Recent Research

Intelligent Observing and Multiscale Modeling for Ocean Exploration and Sustainable Utilization
Machine Learning for Submesoscale Characterization, Ocean Prediction, and Exploration (ML-SCOPE)
Dynamic Environmental Estimation, Prediction, and Acoustic Inference (DEEP-AI)
Interdisciplinary Nonlinear Bayesian Data Assimilation
Local Stochastic Prediction for UUV/USV Environmental Awareness – ROMs
The Potential Effects of Deep Sea Mining on Deep Midwater Communities in the CCZ: Constructing Ecosystem Baselines and Modeling Effects on Ecosystem Services
Autonomous Tow Vessels for Offshore Macroalgae Farming
Plastic Pollution in the Oceans: Characterization and Modeling
Wide Area Ocean Floor Mapping
Deep Sea Mining: Modeling, Observing and Quantifying Risks
Bayesian Intelligent Ocean Modeling and Acidification Prediction Systems (BIOMAPS)
Bayesian Data Assimilative Ocean Forecasting, Learning, and Optimal Sensing for Sustainable Fisheries Management in India
Understanding and Predicting the Gulf of Mexico Loop Current
Coherent Lagrangian Pathways from the Surface Ocean to Interior (CALYPSO)
Surface Dynamic Uncertainty Characterization and Transfer (S-DUCT)
Red Sea Initiative
Advanced Lagrangian Predictions for Hazards Assessments (NSF-ALPHA)
High-Order Multi-Resolution Multi-Dynamics Modeling for the Flow Encountering Abrupt Topography (FLEAT) Initiative

Publications

Uncertainty Quantification and Data Assimilation Schemes
Applications to Ocean Dynamics
Numerical Modeling
General Press
MIT MechE Theses

Presentations, Experiments, etc.

Recent Invited Lectures
Press Accounts of Group Activities
Real-Time Forecasting and Data Assimilation Experiments
Various Links of Interest

Recent Sea Exercises

CALYPSO 2019
BBN POSYDON 2018
NSF-ALPHA 2018
Deep Sea Mining (PLUMEX) 2018
NSF-ALPHA 2017