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    A Multiresolution Approach to Estimating the Value Added by Regional Climate Models 

    Source: Journal of Climate:;2015:;volume( 028 ):;issue: 022:;page 8873
    Author(s): Parker, Ryan J.; Reich, Brian J.; Sain, Stephan R.
    Publisher: American Meteorological Society
    Abstract: limate models have emerged as an essential tool for studying the earth?s climate. Global models are computationally expensive, and so a relatively coarse spatial resolution must be used within the model. This hinders direct ...
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    Estimating Spatially Varying Severity Thresholds of a Forest Fire Danger Rating System Using Max-Stable Extreme-Event Modeling 

    Source: Journal of Applied Meteorology and Climatology:;2014:;volume( 054 ):;issue: 002:;page 395
    Author(s): Stephenson, Alec G.; Shaby, Benjamin A.; Reich, Brian J.; Sullivan, Andrew L.
    Publisher: American Meteorological Society
    Abstract: ire danger indices are used in many countries to estimate the potential fire danger and to issue warnings to local regions. The McArthur fire danger rating system is used in Australia. The McArthur forest fire danger index ...
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    A Feed Forward Neural Network Based on Model Output Statistics for Short-Term Hurricane Intensity Prediction 

    Source: Weather and Forecasting:;2019:;volume 034:;issue 004:;page 985
    Author(s): Cloud, Kirkwood A.; Reich, Brian J.; Rozoff, Christopher M.; Alessandrini, Stefano; Lewis, William E.; Delle Monache, Luca
    Publisher: American Meteorological Society
    Abstract: AbstractA feed forward neural network (FFNN) is developed for tropical cyclone (TC) intensity prediction, where intensity is defined as the maximum 1-min average 10-m wind speed. This deep learning model incorporates a ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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