SBIR-STTR Award

Predicting 3-D Wind Flows at Cape Canaveral Air Force Station Using a Mesocale Model
Award last edited on: 7/23/19

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$565,184
Award Phase
2
Solicitation Topic Code
AF89-170
Principal Investigator
Walter A Lyons

Company Information

R*Scan Corporation (AKA: R-Scan Corp)

511 11th Avenue South Suite 220A
Minneapolis, MN 55415
   (612) 333-1424
   N/A
   N/A
Location: Single
Congr. District: 05
County: Hennepin

Phase I

Contract Number: F04701-89-C-0052
Start Date: 00/00/00    Completed: 00/00/00
Phase I year
1989
Phase I Amount
$49,958
The prediction of mesoscale dispersion, for emergency response purposes, is critically dependent upon accurately forecasting the 3-d wind field within the domain of interest several hours in advance. Currently available emergency response systems, which typically use some form of gaussian diffusion model combined with wind fields interpolated from scattered surface layer wind measurements, are, under many mesoscale regimes, incapable of describing the current complex ransport and diffusion found in regions such as Vandenberg AFB, much less projecting several hours into the future. A new generation of mesoscale numerical models appears capable of forecasting the detailed 3-d windfloiv in coastal complex terrain to a degree sufficient to significantly improve regional diffustion predictions. Phase I aims at demonstrating that the regional atmospheric modeling system (rams) can accomplish this task. If successful, this paves the way for subsequent efforts to port the rams model into an operational environment.

Phase II

Contract Number: F04701-91-C-0058
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
1991
Phase II Amount
$515,226
Phase I demonstrated a new Mesoscale Prognostic Model (ARAMS) could successfully simulate the complex wind flow regimes over the Cape Canaveral AFS region. Data from the Kable experiment were used to validate the model's performance. ARAMS revealed vertical motions in excess of 150 cm/sec were associated with complex boundary convergence zones. A Lagrangian Particle Dispersion Model (LPMD) revealed 3-D mesoscale transport patterns associated with the sea breeze which could not be adequately treated by current operational dispersion models. New graphics supercomputers will shortly have the power to run a real-time 3-D mesoscale model over the CCAFS/KSC domain, which in turn will drive an improved mesoscale dispersion model for emergency response and other environmental management tasks. Phase II will develop a prototype Emergency Response Dose Assessment System (ERDAS) to test the feasibility of using such a system in an operational forecasting setting. ARAMS will be tested, optimized for the graphics supercomputer and configured for selected accident scenarios at CCAFS/KSC. In order to obtain maximum use from the rich suite of observational data in the area, ARAMS will be used as a template for a hybrid wind flow model incorporating both the prognostic model output and observations. A program of verification and validation will be developed.