An Ensemble Kalman Filtering Approach for Regional Ocean Data Assimilation

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,997.00
Award Year:
2006
Program:
SBIR
Phase:
Phase I
Contract:
N00039-06-C-0050
Award Id:
77341
Agency Tracking Number:
N061-099-0082
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
131 Hartwell Avenue, Lexington, MA, 02421
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
091493569
Principal Investigator:
RuiPonte
Principal Investigator
(781) 761-2231
rponte@aer.com
Business Contact:
CeciliaSze
President and CEO
(781) 761-2288
csze@aer.com
Research Institute:
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 I of the project, basic feasibility tests of the data assimilation system will be carried out for the northern Gulf of Mexico, using simulated data for simplicity and evaluating the skill of the analyses and forecasts under different assumed noise levels and flow regimes, with the ultimate goal of developing and transitioning the system to Navy operations and applying it to satisfy the diverse ocean modeling and data assimilation needs of many other potential users in the commercial and public sectors. BENEFITS: The project will deliver the ability to produce accurate analysis and forecasts of ocean conditions in a diverse set of coastal regions and flow regimes. The ocean data assimilation system developed under the project is essential not only for the military needs of the U.S. Navy, but for many other applications in the public and private sectors as well. Potential customers include government agencies responsible for managing the coastal oceans (search and rescue operations, environmental hazard assessment, pollution modeling and control, fish stock management, etc.), and many industries operating in an ocean environment, such as the oil and natural gas, tourism and recreation, fisheries, and shipping industries.

* information listed above is at the time of submission.

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