Award Data

We propose a high-impact innovation for weather forecasting that integrates global ensemble weather forecasts with an AI-driven post-processing model of extreme weather indices. This innovation will provide the basis for skillful probabilistic forecasts of compound extreme weather events at extended lead times. Extreme weather/climate events of relevance to electric utilities focused on in Phase I ...

WISER Systems, Inc. is a small, woman-owned, disadvantaged business providing best-in-class real-time location systems (RTLS) for nearly any environment. WISER’s RTLS powers applications in aerospace, manufacturing, warehousing, yard management, and many other industries. Unlike GPS-based solutions, WISER’s Redundant Radio Localization and Tracking (RRLT) technology enables autonomous position ...

Anuma Aerospace seeks to develop the conceptual design for, and determine the technical and economic feasibility of, a Persistently-Elevated, Gas-free, Aerostatic Sensor Utility System (PEGASUS), which will work like a data buoy in the sky, continuously collecting and transmitting weather data from the marine atmospheric boundary layer (ABL) with the data being made available via application progr ...

In Phase I we developed a software capability for predicting the future positions of ocean drifters. We demonstrated the capability to predict drift for objects of varying shapes and train models based on historical observations. In Phase II we will leverage this software to perform high volume experimentation through which we will fully develop trained models using historical data for both passiv ...

Rising sea levels and increased storm events leave many areas around the country more vulnerable to accelerating rates of coastal erosion and land loss, resulting in the need for nation-wide coastal restoration initiatives to protect our infrastructure. Dredging and beneficial use of dredge material is a major component that helps maintain and protect the coast. However, there are numerous sites w ...

We propose AI capabilities that improve modeling complex ocean dynamics and assist in the logistical management and planning of uncrewed deployment campaigns. Uncrewed sensor platforms sense and collect data for many interests, including tracking chemical and biological tracers, assimilating ocean dynamics observations into forecast models, and enhancing naval situational awareness. The recent eme ...

NOAA has used historical documents such as ship logs and many other resources to collect weather data critical to modeling global and regional climate and weather conditions. To date, the optical character recognition (OCR) technology developed over the past three decades remains limited in the ability to recognize handwriting and reliably extract text in context. Machine Learning (ML) algorithms ...

This Phase I SBIR Project proposes the development of a novel Yeast-Based Biosensor for detecting pathogenic microbes in aquaculture water. Diseases due to bacteria and viruses cost aquaculture producers tens of millions of dollars annually in lost production. Early detection of the microbes that cause these diseases is the key to stopping the spread of the disease and limiting losses. Current tes ...

Radio Frequency (RF) Fingerprinting is an important capability for the warfighter to identify threats and protect against malicious attacks on the RF spectrum. Most RF Fingerprinting techniques work by identifying small variations in a transmitted signal that are introduced by hardware components (capacitors, inductors, etc) of the transmitter within the non-linear regions of operation. Neural Net ...

At present, there are no solutions for equipping Class 1 and 2 unmanned aerial system (UAS) platforms with weapons systems that provide the capability for opportunistic engagement of high value targets (HVT). Munitions deployed on larger UAS, and other fixed-wing SOCOM assets, greatly exceed the payload capacity of Class 1 and 2 UAS assets currently in use for intelligence, surveillance, and recon ...