This two-year, $339,657 National Science Foundation project grant will support the analysis of thirty years of surface current mapping data from high-frequency radar along the U.S. West Coast. The University of California Santa Cruz will acquire historical radar datasets from multiple sources, conduct quality control procedures, and pair the current data with high-resolution wind field analyses from the Coupled Ocean/Atmosphere Mesoscale Prediction System atmospheric circulation model. The...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $1,354,056 to the University of California San Diego Scripps Institution of Oceanography to jointly implement a new measurement technique called distributed acoustic sensing. This technique will generate high-resolution (10 m in space, minutes in time) images of ocean temperature and current velocity fields above a 34-km cable laid on the seafloor off the Azores islands. The goal is to...
This Project Grant award from the National Science Foundation Division of Ocean Sciences provides $468,282 in funding to the Woods Hole Oceanographic Institution from October 1, 2022 through September 30, 2025. The award supports research into elucidating the processes that influence near-surface velocity structure in the coastal ocean through observations, numerical modeling, and comparisons to model results. Specifically, the award will fund research using existing HF radar measurements paired...
The National Science Foundation awarded a $275,000 SBIR Phase I project grant to Agile RF Systems LLC to develop and demonstrate a multiple input multiple output (MIMO) radar processing module for significantly enhanced detection of severe weather events such as tornadoes, hail, and wind shear. During the 9-month project, the company will develop and simulate MIMO radar algorithms, implement them in an existing four-channel software defined radar, and compare the MIMO performance to single input...
The National Science Foundation (NSF) awarded a $536,577 Project Grant under the Geosciences program (CFDA 47.050) to the University of California, Santa Cruz (UCSC) to develop an innovative Artificial Intelligence (AI) system to analyze satellite measurements and high-resolution ocean model outputs. The project aims to detect and measure ocean fronts - boundaries between water masses with different properties - and estimate the heat content of the ocean's upper mixed layer. The researchers plan...
The National Science Foundation (NSF) Division of Atmospheric and Geospace Sciences awarded a $326,956 Project Grant to the University Corporation for Atmospheric Research (UCAR) to develop a free, online, customizable, college-level course in radar meteorology. This 5-year project, beginning on September 1, 2023, aims to create a series of interactive, multimedia lessons that will educate the general public, professional partners, and students on the uses, applications, and limitations of...
Field Data Services LLC will conduct a $297,032 technical feasibility study under a Small Business Innovation Research (SBIR) Program project grant from the National Oceanic and Atmospheric Administration (NOAA) Department of Commerce. The study aims to determine the commercial viability of a new solid state lidar sensor chip for detecting migrating anadromous fish in small spawning streams. Field Data Services will build an automated test system to characterize the lidar's ability to detect...
The National Science Foundation (NSF), through its Integrative Activities program (CFDA 47.083), awarded a $676,546 Project Grant to the University of Alabama in Huntsville (UAH) to acquire a Ka-band profiling radar for the university's Mobile Atmospheric Profiling Network (MAPNET) facility. This state-of-the-art radar will enhance researchers' ability to study a variety of atmospheric processes, including cool season stratocumulus clouds, convective systems, cloud electrification, hurricane...
This $277,610 project grant from the National Science Foundation's Office of Integrative Activities, under the Geosciences program (CFDA 47.050), will fund research comparing in-situ and polarimetric radar hail observations. The University of North Dakota will use existing polarimetric radar and storm-penetrating aircraft data to improve estimates of hail properties from radar. Researchers will process hydrometeor images, analyze radar data to identify times when sweeps intersected hail, and...
Geometric Data Analytics Inc. received a $299,804 project grant award from the National Oceanic and Atmospheric Administration under the Small Business Innovation Research Program to develop artificial intelligence capabilities that improve modeling of complex ocean dynamics and assist in logistical management and planning of uncrewed deployment campaigns. Specifically, the awardee will enhance their Float Field Geometric Health software to better predict future positions of floating sensor...
HIGH FREQUENCY RADAR (HFR) PROVIDES ONE OF THE 30 ESSENTIAL OCEAN VARIABLES OUTLINED IN THE U.S. INTEGRATED OCEAN OBSERVING SYSTEM (IOOS) MISSION, AND IS THE ONLY INSTRUMENT SYSTEM OPERATIONALLY PROVIDING BOTH HIGH TEMPORAL AND SPATIAL RESOLUTION OBSERVATIONS OVER THE CONTINENTAL SHELF. APPROXIMATELY 85% OF THE IOOS HFRS ARE CODAR SEASONDES, WITH MEASUREMENTS CONSISTING OF RANGE, BEARING, AND VELOCITY OF A SEA SURFACE PATCH. THE SEASONDES UTILIZE ALGORITHMS ALONG WITH A COMPACT ANTENNA SYSTEM TO DETERMINE THE BEARING. RANGE AND VELOCITY ARE HIGHLY ACCURATE, WHILE THE BEARING DETERMINATION IS THE GREATEST SOURCE OF ERROR. A FURTHER ISSUE IS THAT THESE MEASUREMENTS PRESENTLY PROVIDE NO INDICATION OF MEASUREMENT UNCERTAINTY, WHICH HAS HINDERED UTILIZATION OF HFR OBSERVATIONS BY MODELERS AND FORECASTERS, AND PRESENTS A CHALLENGE FOR HFR OPERATORS PERFORMING DATA QUALITY CONTROL. TO RESOLVE THESE ISSUES, WE HAVE DEVELOPED AN ARTIFICIAL INTELLIGENCE (AI) APPROACH TO THE BEARING DE