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The Enhanced Navy Simulation of the Extended MBL Environment (ENSEMBLE) Toolkit

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0142
Agency Tracking Number: N17A-018-0009
Amount: $1,496,757.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N17A-T018
Solicitation Number: 17.A
Timeline
Solicitation Year: 2017
Award Year: 2019
Award Start Date (Proposal Award Date): 2018-12-06
Award End Date (Contract End Date): 2023-03-23
Small Business Information
4 Fourth Avenue
Burlington, MA 01803-0000
United States
DUNS: 047627732
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Alexander Berk
 Principal Scientist
 (781) 273-4770
 lex@spectral.com
Business Contact
 Marsha J. Fox
Phone: (781) 273-4770
Email: mfox@spectral.com
Research Institution
 Air Force Institute of Technology
 Dr. Christopher A. Rice Dr. Christopher A. Rice
 
Office of Research and Sponsored Programs AFIT/ENRS 2950 Hobson Way
Wright-Patterson AFB, OH 45433-0000
United States

 (937) 255-3636
 Nonprofit College or University
Abstract

The recent emergence of many new ocean-transiting military and domestic security threats has led to a growing need within the Department of Defense in general and within the Department of the Navy in particular for improved methods for estimating the electromagnetic vulnerability to visual/electro-optical/infrared/radar systems. Accurate characterization of the marine boundary layer (MBL) in the vicinity of naval ships and surfaced submarines is critical for input into the electromagnetic propagation tools that predict system performance and vulnerability. An Enhanced Navy Simulation of the Extended MBL Environment (ENSEMBLE) toolkit is being developed to provide a MBL volumetric characterization that extends 10 km horizontally. ENSEMBLE is being built within the framework of the Air Force Institute of Technology’s validated, robust and GUI driven Laser Environmental Effects Definition and Reference atmospheric characterization package. Sea surface temperature and point source weather measurements within the surface boundary layer anchor vertical profiles. Mesoscale forecast data define horizontal variability. Existing and proposed measurement data will be combined with air-sea interface physics, chemistry and turbulence theory to statistically model the dynamically varying near ocean surface wave boundary layer. Direct links to DON standard propagation models will facilitate seamless and rapid data analysis.

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

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