Award Data

Recent world events have highlighted the need for timely and accurate intelligence data to assess threats and combat terror. An unmanned surface vehicle (USV ) can potentially perform intelligence, surveillance and reconnaissance (ISR) missions, provide force protection, hunt for mines in coastal waters or harbors, and provide port security. USVs under development by the Navy are powered by the ...

Field combat load assessment for combat training and combat mission personnel load management is an identified military need. The combat load assessment device or CLAD must meet several requirements not found in off-the-shelf commercial or consumer weighing devices. Weight requirements, accuracy requirements, functional requirements, and cost requirements prohibit the use of currently OTS hardwa ...

A core process for sensor performance prediction is the radiative transport algorithm used to convert the scene environmental characteristics into radiance. Numeric approximations are often used to enhance execution time at the expense of overall radiometric accuracy. However, many radiative transfer approximations have limited applicability, working only for a set of atmospheric conditions, sen ...

This effort will characterize the spatial structure and real world features of stressing atmospheric phenomena and develop techniques to efficiently represent these phenomena in optical/infrared background models. Our approach to this problem involves locating and identifying stressing backgrounds contained in measurements and extracting key clutter characteristics in a form that allows t ...

DTRA uses high-resolution mesoscale forecasts to drive HPAC, the DTRA dispersion modeling tool that generates critical forecasts of dosage resulting from releases of chemical, biological, or radiological agents. HPAC is designed to provide probablistic information based on estimates of the uncertainty of the input forecast fields of the meteorological variables (wind, temperature, etc.). ...

This effort will characterize the real world features and spatial structure of stressing atmospheric phenomena and demonstrate the feasibility of forecasting such phenomena using data-driven infrared background models. Our approach to this problem involves locating and identifying stressing backgrounds contained in measurements and extracting key structure characteristics in a form that allows th ...

75422B The increase of atmospheric CO2 from fossil fuel combustion is a major contributor to global warming and climate change. Improved measurement technology for directly determining the exchange fluxes of the stable isotopes of CO2 is crucial to understanding the natural carbon cycle, which transforms atmospheric CO2 into biological carbon, and to develop strategies to mitigate the problem. ...

75716S Aerosol particles in the atmosphere have important effects on visibility, acid deposition, climate, and human health. A significant amount of anthropogenic aerosols is generated from energy-related activities, and organic compounds are known to constitute a significant fraction of ambient aerosol mass in many locations. However, there is a lack of are real-time, size-resolved, quantitati ...

79105S05 As plasma modeling and simulation become mature, virtual diagnostics can become an option for tokamak research in the fusion energy program. A virtual diagnostics toolset that allows direct comparison of numerical simulation with tokamak measurements would provide an invaluable tool for thorough understanding of tokamak plasmas and further define future necessary diagnostics. This proje ...

79508S05 Aerosol particles have important effects on visibility, acid deposition, climate, and human health. A large fraction of the anthropogenic aerosol is generated from energy-related activities, and organic compounds are known to constitute a significant fraction of ambient aerosol mass in many locations. Yet, large uncertainties remain in quantifying the chemical composition and atmospheri ...