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P.F.J. Lermusiaux, P.J. Haley, Jr., W.G. Leslie, C. Mirabito Massachusetts Institute of Technology
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Reiner Onken, Baptiste Mourre
NATO Undersea Research Centre
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Exercise Background
Description
In September/October 2012, there will be a major Rapid Environmental Assessment (REA) sea trial in the Gulf of Lion named Noble Mariner 2012 (NOMR12).
The objective is to collect a huge CTD data set from CTD, ADCP, drifters, and at
least 6 gliders. The plan is for a 5 day long initilization survey with a research vessel and gliders, followed by a 2 week
long survey for update and adaptive sampling, and finally a high-resolution validation survey with all available instruments
towards the end of the trial. The major intent of the intense oceanographic survey is to provide high resolution data for
ocean forecasting and validation of ocean models. The interaction between the NATO Undesea Researcn Centre (NURC) and the
MSEAS group continues a long-standing collaborative research effort.
Tentative Schedule
NOMR will have two phases:
- REA Phase: 1 - 24 September
- Execution Phase: 24 Sep - 7 Oct
Rationale
Predictability is inherently limited in highly dynamic ocean regimes such as coastal and shallow waters, straits, canyons, etc.
Uncertainties can remain high because of our yet limited understanding of underlying processes in what appears to be a chaotic
environment at short spatio-temporal scales. The lack of integration in observational networks and the monitoring difficulties
in these areas may strongly compromise the characterization and prediction of the environment and the objective assessment of
operational effectiveness and associated risk. Traditional ship-based experiments become difficult with rising fuel cost and
call for innovative and adaptive techniques for persistent autonomous monitoring of the ocean to fill-in areas of high uncertainties.
Objectives
The scientific objective of the environmental program at NURC is to develop an environmental knowledge management system in the following approach:
- develop robust monitoring and prediction techniques to rapidly characterize the environment in areas where knowledge is limited and uncertainties
are high, with a particular focus on autonomous platforms (AUV, gliders/UUV) and remote sensing (passive and active, satellite, airborne-, land- and ship-based techniques):
- understand uncertainties in remote sensing and ground truth observations
- develop UUV adaptive sampling techniques
- develop air-sea-wave 2-way coupling methods
- develop robust techniques to assess how environmental uncertainties affect the operational effectiveness and the associated risk and how
observational and prediction errors are propagated to the end-user decision level:
- develop techniques for a decision support system for autonomous platforms
- develop tactical super-ensemble prediction techniques
- understand how environmental uncertainties affect operational effectiveness
Real-time Data, Analyses and Forecast Pages
NetCDF files with Simulation Field Estimates
Presentations
NOMR12 Links
Other Links
