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    An Enhanced Geostationary Satellite–Based Convective Initiation Algorithm for 0–2-h Nowcasting with Object Tracking 

    Source: Journal of Applied Meteorology and Climatology:;2012:;volume( 051 ):;issue: 011:;page 1931
    Author(s): Walker, John R.; MacKenzie, Wayne M.; Mecikalski, John R.; Jewett, Christopher P.
    Publisher: American Meteorological Society
    Abstract: his paper describes an enhanced 0?2-h convective initiation (CI) nowcasting algorithm known as Satellite Convection Analysis and Tracking, version 2 (SATCASTv2). Tracking of developing cumulus cloud ?objects? in advance ...
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    Probabilistic 0–1-h Convective Initiation Nowcasts that Combine Geostationary Satellite Observations and Numerical Weather Prediction Model Data 

    Source: Journal of Applied Meteorology and Climatology:;2015:;volume( 054 ):;issue: 005:;page 1039
    Author(s): Mecikalski, John R.; Williams, John K.; Jewett, Christopher P.; Ahijevych, David; LeRoy, Anita; Walker, John R.
    Publisher: American Meteorological Society
    Abstract: he Geostationary Operational Environmental Satellite (GOES)-R convective initiation (CI) algorithm predicts CI in real time over the next 0?60 min. While GOES-R CI has been very successful in tracking nascent clouds and ...
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    Sensing Hazards with Operational Unmanned Technology 

    Source: Bulletin of the American Meteorological Society:;2020:;volume( 101 ):;issue: 009:;page 775
    Author(s): Wick, Gary A.;Dunion, Jason P.;Black, Peter G.;Walker, John R.;Torn, Ryan D.;Kren, Andrew C.;Aksoy, Altug;Christophersen, Hui;Cucurull, Lidia;Dahl, Brittany;English, Jason M.;Friedman, Kate;Peevey, Tanya R.;Sellwood, Kathryn;Sippel, Jason A.;Tallapragada,
    Publisher: American Meteorological Society
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