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Showing 1 to 4 of 4 for “"GOES-R series"”.

  1. Deep learning for downscaling GOES-18 measurements for wildfire detection

    … Operational Environmental Satellites (GOES-R) series containing the Advanced Baseline Imager (ABI) offers high temporal resolution for frequent observations but suffers from low spatial resolution. In contrast, low Earth orbit (LEO) satellites like Suomi-NPP, NOAA-20, and NOAA-21 with …

    colostate Repository record for Deep learning for downscaling GOES-18 measurements for wildfire detection (opens in a new tab)

  2. GREMLIN: GOES radar estimation via machine learning to inform NWP

    … Operational Environmental Satellite (GOES) has been a key element of U.S. operational weather forecasting since 1975. The latest generation, the GOES-R Series, offers new capabilities to support the need for high-resolution rapidly refreshing imagery for situational awareness. Despite …

    colostate Repository record for GREMLIN: GOES radar estimation via machine learning to inform NWP (opens in a new tab)

  3. GOES-R Supervised Machine Learning

    <p>The GOES-R series is a product line of four satellite, with two currently on-orbit (GOES-16 “East” and GOES-17 “West”). GOES-17 is susceptible to a Loop-Heat-Pipe (LHP) phenomenon where during Fall and Spring seasons, there are times of day where some of the infrared bands records inaccurate …

    cuny Repository record for GOES-R Supervised Machine Learning (opens in a new tab)

  4. Understanding tornado intensity in supercells and quasi-linear convective systems

    … the implementation of the high-resolution GOES-R series satellite and proposes a technique for the identification of storms supportive of strong tornadoes through estimation of storm updraft size by way of overshooting tops (OTs). Specifically, a method to quantify overshooting top area …

    uiuc Repository record for Understanding tornado intensity in supercells and quasi-linear convective systems (opens in a new tab)