An Ensemble Kalman Filtering Approach for Regional Ocean Data Assimilation

Award Information
Agency:
Department of Defense
Amount:
$747,337.00
Program:
SBIR
Contract:
N00039-08-C-0017
Solitcitation Year:
2006
Solicitation Number:
2006.1
Branch:
Navy
Award Year:
2008
Phase:
Phase II
Agency Tracking Number:
N061-099-0082
Solicitation Topic Code:
N06-099
Small Business Information
ATMOSPHERIC & ENVIRONMENTAL RESEARCH, IN
131 Hartwell Avenue, Lexington, MA, 02421
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
091493569
Principal Investigator
 Rui Ponte
 Principal Investigator
 (781) 761-2288
 rponte@aer.com
Business Contact
 Cecilia Sze
Title: President and CEO
Phone: (781) 761-2288
Email: csze@aer.com
Research Institution
N/A
Abstract
Current and future operational needs of the Navy require the capability to combine very large and disparate datasets with dynamical ocean numerical models to produce, in real time, accurate analyses and forecasts together with respective uncertainty estimates for any littoral region of the globe. We propose to implement a highly scalable, portable and efficient ocean data assimilation system based on (i) the Estuarine and Coastal Ocean Model (ECOM), a state-of-the-art primitive equation model that has been applied to many studies of the coastal zone, and (ii) a recent adaptation of ensemble Kalman filtering techniques, developed at the University of Maryland, that works particularly well for very large non-linear dynamical systems, in both sparse and dense data regimes, and that provides efficient algorithms for error estimation and quality control. Under Phase II of the project, extensive development of the prototype system developed in Phase I will be pursued to evaluate the skill of analyses and forecasts under different flow regimes and boundary conditions, diverse data streams, and various model errors. Our ultimate goal is to develop and transition the system to Navy operations and apply it to satisfy the diverse ocean modeling and data assimilation needs of many other potential users in the commercial and public sectors.

* information listed above is at the time of submission.

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