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    Forecaster Evaluations of High Temporal Satellite Imagery for the GOES-R Era at the NWS Operations Proving Ground 

    Source: Weather and Forecasting:;2016:;volume( 031 ):;issue: 004:;page 1157
    Author(s): Gravelle, Chad M.; Runk, Kim J.; Crandall, Katie L.; Snyder, Derrick W.
    Publisher: American Meteorological Society
    Abstract: etween February and April of 2015, the National Weather Service (NWS) Operations Proving Ground (OPG) facilitated an evaluation of the usefulness of 1-min satellite imagery for NWS operations in the Geostationary Operational ...
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    Demonstration of a GOES-R Satellite Convective Toolkit to “Bridge the Gap” between Severe Weather Watches and Warnings: An Example from the 20 May 2013 Moore, Oklahoma, Tornado Outbreak 

    Source: Bulletin of the American Meteorological Society:;2015:;volume( 097 ):;issue: 001:;page 69
    Author(s): Gravelle, Chad M.; Mecikalski, John R.; Line, William E.; Bedka, Kristopher M.; Petersen, Ralph A.; Sieglaff, Justin M.; Stano, Geoffrey T.; Goodman, Steven J.
    Publisher: American Meteorological Society
    Abstract: ith the launch of the Geostationary Operational Environmental Satellite?R (GOES-R) series in 2016, there will be continuity of observations for the current GOES system operating over the Western Hemisphere. The GOES-R ...
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    The NOAA/CIMSS ProbSevere Model: Incorporation of Total Lightning and Validation 

    Source: Weather and Forecasting:;2018:;volume 033:;issue 001:;page 331
    Author(s): Cintineo, John L.; Pavolonis, Michael J.; Sieglaff, Justin M.; Lindsey, Daniel T.; Cronce, Lee; Gerth, Jordan; Rodenkirch, Benjamin; Brunner, Jason; Gravelle, Chad
    Publisher: American Meteorological Society
    Abstract: AbstractThe empirical Probability of Severe (ProbSevere) model, developed by the National Oceanic and Atmospheric Administration (NOAA) and the Cooperative Institute for Meteorological Satellite Studies (CIMSS), automatically ...
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    Collaborative Exploration of Storm-Scale Probabilistic Guidance for NWS Forecast Operations 

    Source: Weather and Forecasting:;2024:;volume( 039 ):;issue: 002:;page 387
    Author(s): Wilson, Katie A.; Burke, Patrick C.; Gallo, Burkely T.; Skinner, Patrick S.; Lindley, T. Todd; Gravelle, Chad; Bieda, Stephen W.; Madden, Jonathan G.; Monroe, Justin W.; Guerra, Jorge E.; Morris, Dale A.
    Publisher: American Meteorological Society
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