SBIR/STTR Research Award
Solution for High Resolution Micro-Meteorological Tools for Global War on Terrorism (GWOT) Contaminant Transport and Dispersal Predictions
Award amount
$283,300Program and phase
STTR · Phase IIAward year
2008Award details
- Awarding agency
- Department of Defense
- Branch
- Navy
- Recipient company
- ITRI CORP.
- Proposal award date
- 2008-03-06
- Contract end date
- 2009-09-06
- UEI
- Not reported
- Solicitation number
- Not reported
- Topic code
- N06-T037
Research abstract
In this Phase II STTR Itri Corporation and the Naval Research Lab, Monterey, CA will Develop, demonstrate, and transition to operations an enhanced capability to support Navy operations world-wide with probabilistic mission impact information. We will exploit and transition the knowledge and experience gained in the Phase I STTR “High Resolution Micro-Meteorological Tools for Global War on Terrorism (GWOT) Contaminant Transport and Dispersal Predictions” and also from the ONR-sponsored University of Washington (UW) Multidisciplinary Research Initiative (MURI) on “Integration and Visualization of Multi-Source Information for Mesoscale Meteorology: Statistical and Cognitive Approaches to Visualizing Uncertainty.” This technology will be implemented to enhance the Environmental Visualization (EVIS) operational product at Fleet Numerical Meteorology and Oceanography Center (FNMOC), Monterey, CA., and to deliver probabilistic mission impact information to operations personnel in a simple to visualize and understand form.
Technology keywords
Not reported
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Maximizing the utility of high-resolution ensemble meteorological forecasts for planning and responding to hazardous releases
- Solution for High Resolution Micro-Meteorological Tools for Global War on Terrorism (GWOT) Contaminant Transport and Dispersal Predictions
- High Resolution Micro-meteorological Tools for Global War on Terrorism (GWOT) Contaminant Transport and Dispersal Predictions