Award Data

Salient Predictions Inc. proposes to develop new technology for accurate subseasonal to seasonal (S2S) water availability forecasts so that communities may manage water resources in preparation for hazardous events like floods and droughts. Current hydrological models face challenges related to data inputs, as climate change has been presenting weather patterns atypical from historical data. Witho ...

We propose to develop in-situ low cost sensors to support fire meteorology for wildland fire emergency response, by blanketing the fire area with real time measurements. Sensors can be air-deployed to provide vertical atmospheric measurement profiles or hand-emplaced for augmenting existing surface fire weather stations. Each telemeters precision measurements of air temperature, solar radiation, i ...

Achieving trustworthy and trusted autonomy starts early in the development process through performing hazard analysis, fault analysis, identifying mitigating requirements, and carefully and rigorously tracing those requirements all the way into design, models, implementation, and tests. However, traceability can be time-consuming, costly, and error-prone. To address these challenges, significant a ...

This research aims to develop decision support tools for better maintenance and planning of renewable energy generation and storage assets using atmospheric, local weather, and on-ground environmental data blended with site-, regional- and national-generation data. The study will use a combination of these data to understand the relationship between non-cloud cover based atmospheric conditions and ...

Ocean ecosystems are critical to the regulation of Earth’s climate and biodiversity, while also hosting a range of direct and indirect benefits to people, from being a food source to recreation. Coastal ocean systems are dynamic regions especially rich in diverse biological and geochemical interactions. However, major gaps exist in our knowledge of the primary biogeochemical processes and the fa ...

There is a dire need for technology to rapidly and accurately detect and quantify Escherichia coli serotypes 0157:H7 and K12 and Vibrio parahaemolyticus and total fecal coliforms. In Phase I we developed a novel approach to Surface Enhanced Raman Spectroscopy (SERS) for detecting human pathogens in cultured bacteria, mixtures of organisms and in oyster tissue. Our approach uses a higher energy las ...

Amalgamated Vision (AV) is an engineering company designing optics for head mounted display (HMD). AVrsquo;s optical engine is intended to be an OEM component that is vendor and content agnostic. It can be integrated into the electromechanics of any HMD for a user experience that avoids the common visual and physical impairments associated with current HMD systems. Based on laser beam scanning, vi ...

Quantum Sensors have use in a wide variety of applications including microscopy, positioning systems, communication technology, electric and magnetic field sensors, as well as geophysical areas. Significant gains from Quantum Sensors include technologies important for a range of NASA missions including efficient photon detection, optical clocks, gravimetry, gravitational wave sensing, ranging, and ...

GTLrsquo;s breakthrough ultra-lightweight composite dewar-tank technology is game changing by providing hydrogen weight fractions in excess of 59% for small tanks, with over 70% achievable with medium scale LH2 tanks, including vacuum insulation. This capability addresses a critical need in the conversion of single-aisle aircraft from Jet-A to liquid hydrogen to eliminate carbon emissions. With GT ...

Radiation detectors are an invaluable tool for space applications that span planetary science, astrophysics, heliophysics, and dosimetry for human exploration.nbsp; A common technology used for radiation detection is the scintillator, where the material generates a light flash with an intensity that is proportional to the energy deposited by the incident radiation.nbsp; For planetary science, the ...