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Quantifying, Predicting and Exploiting Uncertainty

P.F.J. Lermusiaux, P.J. Haley, Jr.,
W.G. Leslie, C. Mirabito

Massachusetts Institute of Technology
Center for Ocean Engineering
Mechanical Engineering
Cambridge, Massachusetts


Ongoing MIT-MSEAS Research
Additional QPE Links
Presentations
Background information
References

 

MSEAS QPE Publications
This research sponsored by the Office of Naval Research.

Ongoing MIT-MSEAS Research

Most of the information of the more recent research activities are available at the following links:

2009

2008

 

 

The long-term goal of our QPE effort has been to research, integrate, demonstrate and utilize end-to-end prediction and DA systems to better study, understand, forecast and exploit environmental and acoustic fields and uncertainties for efficient sonar operations. Specific objectives are to: (i) improve the understanding of dynamics, predictabilities and uncertainties in the southern East China Sea (ECS) and Northern Philippine Sea region; (ii) study, model and quantify the interactions of Kuroshio meanders, mesoscale features and internal tides and waves, based on process and sensitivity studies; (iii) Further research coupled environmental and acoustic modeling and data assimilation; and (iv) Design observation system properties and adaptive sampling schemes to optimize the placement of sensor systems for the reduction of uncertainty and best exploitation of the environment.

Additional research simulations

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Additional QPE Links

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Presentations

WHOI site for Presentations from QPE meetings

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Background

Building on discoveries made over the previous five years in probabilistic sonar performance prediction, integrated ocean-acoustic modeling, multidisciplinary data assimilation, ocean predictability, multi-scale custom climatologies and autonomous underwater platforms, the Quantifying, Predicting and Exploiting Uncertainty initiative will integrate these discoveries to improve performance prediction and reduce sonar detection uncertainties. To demonstrate how the components fit together and how a future end-to-end system could work in support of fleet exercises, an integrated field demonstration was carried out in 2009 in this East China Sea - Taiwan - Kuroshio region.

The DRI objectives are to:
  1. Further develop and integrate methodologies, and perform field demonstration, of the use of in-situ data together with integrated (ocean, TL and ambient noise) assimilative predictive models and adaptive sampling methods to improve sonar system performance and prediction.
  2. Learn how to assimilate deep water acoustic observations to assist in initialization of regional ocean models.
  3. Study the limits of predictability of a meandering jet interacting with topography.
  4. Study the connection between nonlinear internal wave activity on the shelf and the meandering jet adjacent to the shelf.
  5. Map out a Concept of Operations (CONOPS) for an end-to-end evaluation of acoustic impact and identify which operational naval elements should participate in each step.

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References

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