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    Evaluation of Thunderstorm Predictors for Finland Using Reanalyses and Neural Networks 

    Source: Journal of Applied Meteorology and Climatology:;2017:;volume( 056 ):;issue: 008:;page 2335
    Author(s): Ukkonen, Peter;Manzato, Agostino;Mäkelä, Antti
    Publisher: American Meteorological Society
    Abstract: AbstractThis work evaluates numerous thunderstorm predictors and investigates the use of artificial neural networks (ANNs) for identifying occurrences of thunderstorms in reanalysis data. Environmental conditions favorable ...
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    The Daily Cloud-to-Ground Lightning Flash Density in the Contiguous United States and Finland 

    Source: Monthly Weather Review:;2010:;volume( 139 ):;issue: 005:;page 1323
    Author(s): Mäkelä, Antti; Rossi, Pekka; Schultz, David M.
    Publisher: American Meteorological Society
    Abstract: method is developed to quantify thunderstorm intensity according to cloud-to-ground lightning flashes (hereafter ground flashes) determined by a lightning-location sensor network. The method is based on the ground flash ...
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    Real-Time Hazard Approximation of Long-Lasting Convective Storms Using Emergency Data 

    Source: Journal of Atmospheric and Oceanic Technology:;2012:;volume( 030 ):;issue: 003:;page 538
    Author(s): Rossi, Pekka J.; Hasu, Vesa; Halmevaara, Kalle; Mäkelä, Antti; Koistinen, Jarmo; Pohjola, Heikki
    Publisher: American Meteorological Society
    Abstract: onvective storms cause several types of damage, including economic and ecological losses, every year. This paper focuses on an automatic hazard-level determination of convective storms based on a largely unused information ...
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