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Improved High-Fidelity Forecasting Capability using Combined Mesoscale and Microscale Models

Award Information
Agency: Department of Defense
Branch: Defense Threat Reduction Agency
Contract: HDTRA1-06-C-0044
Agency Tracking Number: T041-002-0090
Amount: $746,427.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: DTRA04-002
Solicitation Number: 2004.1
Timeline
Solicitation Year: 2004
Award Year: 2006
Award Start Date (Proposal Award Date): 2006-08-14
Award End Date (Contract End Date): 2008-08-13
Small Business Information
215 Wynn Dr., 5th Floor, Huntsville, AL, 35805
DUNS: 185169620
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 William Coirier
 Manager/Defense Applicati
 (256) 726-4800
 jls@cfdrc.com
Business Contact
 Ashok Singhal
Title: President
Phone: (256) 726-4800
Email: mva@cfdrc.com
Research Institution
N/A
Abstract
We propose to improve the accuracy and capability of Numerical Weather Prediction (NWP) and Atmospheric Transport and Dispersion (ATD) models by performing a tight, downscale/upscale coupling of a community NWP forecasting system, WRF, with a special purpose, urban-to-microscale Computational Fluid Dynamics (CFD) model. This new capability addresses “bridging the gap” between the mesoscale and microscale, providing improved mesoscale-to-urban-scale wind, turbulence and contaminant transport and dispersion modeling fidelity and accuracy. We will couple the models using the public-domain, Model Coupling Environmental Library (MCEL), whose client/server, dataflow model provides the framework that both the NWP and CFD need to implement and assess a range of upscale and downscale data transfer methods. To provide this state-of-the-science and readily-distributable microscale modeling capability, we will modify a special-purpose CFD solver that uses Adaptive Cartesian Mesh Refinement methods that has been developed under previous DTRA SBIR funding. This special-purpose, microscale CFD capability will solve meteorologically consistent governing equations, employ scale appropriate building and terrain treatments, and be designed to be effectively coupled within the environment. The software capability and framework may be readily extended to other community NWP and microscale models, and lays the framework to bridge the gap between mesoscale and urban/microscale models.

* Information listed above is at the time of submission. *

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