SBIR/STTR Research Award

An Ensemble Kalman Filtering Approach for Regional Ocean Data Assimilation

Award identifier 5a56105269aad990b064fb241bcc4ce7bc773e53b7109ba330c685145c6e77eaAwarding agency Department of Defense · Navy

Award amount

$99,983

Program and phase

SBIR · Phase I

Award year

2006

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
ATMOSPHERIC & ENVIRONMENTAL RESEARCH, INC.
Proposal award date
2006-07-20
Contract end date
2007-06-20
UEI
FRPTLUW7GQS5
Solicitation number
2006.1
Topic code
N06-099

Research 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.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

55 SBIR/STTR records share this UEI (1984–2008). Reported award amounts total $9,260,234. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, National Science Foundation, Department of Commerce

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.