Global Synthetic Weather Radar
Established in 1963, the R&D 100 Awards is the only S&T (science and technology) awards competition that recognizes new commercial products, technologies, and materials for their technological significance that are available for sale or license. The R&D 100 Awards, celebrating the program's 60th Anniversary this year, has long been a benchmark of excellence for industry sectors as diverse as telecommunications, high-energy physics, software, manufacturing, and biotechnology. This 2022 R&D 100 winner is listed below, along with its respective category.
Category: Software/Services
Developers: MIT Lincoln Laboratory MIT Lincoln Laboratory
Co-Developers: U.S. Air Force
United States
Product Description:This capability provides global synthetic weather radar (GSWR) imagery. The GSWR algorithm combines a collection of global weather-sensing data by using a deep convolutional neural network model to create global radar-like analyses. It creates a 0–12-hour weather forecast by blending a nowcast with an existing numerical weather prediction model.
Developers: MIT Lincoln Laboratory MIT Lincoln Laboratory
Co-Developers: U.S. Air Force
United States
Product Description:This capability provides global synthetic weather radar (GSWR) imagery. The GSWR algorithm combines a collection of global weather-sensing data by using a deep convolutional neural network model to create global radar-like analyses. It creates a 0–12-hour weather forecast by blending a nowcast with an existing numerical weather prediction model.
Global Synthetic Weather Radar Figure 1