Award Data

Elevated temperatures observed in urban areas have significant implications for human health, energy consumption and infrastructure reliability, and their negative effects disproportionately impact disadvantaged populations. Increasing scientific and practical understanding of urban heat islands is an important step in identifying those regions at elevated risk, and effective mitigation strategi ...

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 ...

Environmental monitoring and forecasting for marine, coastal and terrestrial environments plays a critical role in informed decision making for a wide range of stakeholders in government and regulatory agencies, private industry, and the scientific community. The need for high-quality rapid data and analytics is becoming increasingly important in the face of a changing climate, which threatens to ...

We propose to use Aerosol Optical Depth (AOD) measurements as an early warning system, to cue on-site validation of the soiling station and any available meteorological (MET) station data to validate if a work order to clean deposited particulate matter is necessary. This would move from reactive maintenance – often weeks delayed, to proactive maintenance – getting ahead of the weather impact ...

Exum Instruments’ Massbox is a single analytical instrument that offers rapid, high-sensitivity measurements of additive manufacturing (AM) feedstock powders and printed parts. Determining chemical composition for any manufactured material is critical to understanding and predicting a part’s performance. Current methods of chemical characterization are difficult and time-consuming, requiring m ...

Filtering airborne infectious particles from indoor air is a critical element in controlling the spread of disease during COVID and future pandemics that are transmitted through the air. The aim of this proposed research from Ratiocinative Engineering Services, LLC is to develop a testbed that will lead to more accessible and robust quality control testing of air filtration and ventilation systems ...

High-resolution images from satellites and airplanes have become ubiquitous in the current digital landscape, and readily available to the public. In recent years, deep learning approaches, and in particular deep convolutional neural networks have revolutionized computer vision. Such deep learning models thrive with an abundance of data, creating enormous potential at the nexus of computer vision ...

The Ocean Color and Cloud Monitor (OCCaM) is a hyperspectral based instrument suite with ocean color and cloud observational capabilities. Following the successful Phase I SBIR design period, the Phase II effort will focus on the integration of the Phase I design into a benchtop unit for testing and validation of the design concept. The payload was designed to meet the SWaP requirements of a comme ...

This proposal addresses subtopic 9.6.01, Low-cost Oceanic and Atmospheric Sensors and Observing Systems. It is proposed that two instruments for measuring atmospheric aerosols be commercialized to operate automatically and routinely. Both instruments have been used in research settings for many years and share several aspects of technology. They could both be commercialized with significant advant ...

Enabling BLOS operations in the National Airspace System is largely an issue of improved sensing. Under the UTM rules, BLOS operations require performance authorization from the FAA centered around navigation, communications, sharing of intent, avoiding other aircraft, and connecting to the FAA in near real-time. The current plan initially is for these performance metrics to be evaluated by the FA ...