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 ...

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 ...

Field Data Services (FDS) proposes a technical feasibility study of newly available solid state LiDAR sensor chips for detecting migrating anadromous fish in small spawning streams. The LiDAR chip, first introduced in October 2020, uses an invisible infrared laser to measure time-of-flight distances to nearby objects with millimeter accuracy. This tiny computer chip is breakthrough technology that ...

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 ...

This project aims to strengthen the cybersecurity of edge computers used by special operation forces warfighters. Our team has developed a novel approach for edge computer security called CyberShield that implements hardware obfuscation to detect and defeat cyberattacks. By obscuring the edge computing hardware, an attacker can never write effective malware because they do not know the target inst ...

NOAA has used historical documents such as ship logs and many other resources to collect weather data critical to modeling global and regional climate and weather conditions.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 ...

NOAA SBIR topic 9.5 includes as a research priority the development of tools, platforms, … to make environmental information… more accessible, usable, understandable, and relatable to students, citizen scientists, and the public. Sunburst Sensors has twice used NOAA SBIR funding to successfully create new products. We propose using phase 1 funding to demonstrate the prototype pHyter as a tool ...

SOCOM seeks an innovative, computationally efficient, and automated process that uses high-resolution, still-frame images and/or Full Motion Video, collected from handheld devices, to generate 3D models of building interiors.The ability to use handheld inputs for 3D modeling, at its fundamental level, is a core interest for computer vision and photogrammetric engineering. Hence, the solution will ...

Paralytic shellfish poisoning (PSP) due to consumption of contaminated shellfish is an increasing problem is the coastal waters of the United States, particularly in New England and the Pacific Ocean. The symptoms of PSP include vomiting, diarrhea, shortness of breath, confusion, and loss of coordination in both marine animals and humans. In severe cases, PSP toxins can cause respiratory failure a ...