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    Assessing the Accuracy of the Cloud and Water Vapor Fields in the Hurricane WRF (HWRF) Model Using Satellite Infrared Brightness Temperatures 

    Source: Monthly Weather Review:;2017:;volume( 145 ):;issue: 005:;page 2027
    Author(s): Otkin, Jason A.; Lewis, William E.; Lenzen, Allen J.; McNoldy, Brian D.; Majumdar, Sharanya J.
    Publisher: American Meteorological Society
    Abstract: n this study, cycled forecast experiments were performed to assess the ability of different cloud microphysics and cumulus parameterization schemes in the Hurricane Weather Research and Forecasting (HWRF) Model to accurately ...
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    Assimilation of High-Resolution Satellite-Derived Atmospheric Motion Vectors: Impact on HWRF Forecasts of Tropical Cyclone Track and Intensity 

    Source: Monthly Weather Review:;2016:;volume( 145 ):;issue: 003:;page 1107
    Author(s): Velden, Christopher; Lewis, William E.; Bresky, Wayne; Stettner, David; Daniels, Jaime; Wanzong, Steven
    Publisher: American Meteorological Society
    Abstract: t is well known that global numerical model analyses and forecasts benefit from the routine assimilation of atmospheric motion vectors (AMVs) derived from meteorological satellites. Recent studies have also shown that the ...
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    Geostationary Doppler Radar and Tropical Cyclone Surveillance 

    Source: Journal of Atmospheric and Oceanic Technology:;2011:;volume( 028 ):;issue: 010:;page 1185
    Author(s): Lewis, William E.; Im, Eastwood; Tanelli, Simone; Haddad, Ziad; Tripoli, Gregory J.; Smith, Eric A.
    Publisher: American Meteorological Society
    Abstract: he potential usefulness of spaceborne Doppler radar as a tropical cyclone observing tool is assessed by conducting a high-resolution simulation of an intense hurricane and generating synthetic observations of reflectivity ...
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    Probabilistic Prediction of Tropical Cyclone Intensity with an Analog Ensemble 

    Source: Monthly Weather Review:;2018:;volume 146:;issue 006:;page 1723
    Author(s): Alessandrini, Stefano; Delle Monache, Luca; Rozoff, Christopher M.; Lewis, William E.
    Publisher: American Meteorological Society
    Abstract: AbstractAn analog ensemble (AnEn) technique is applied to the prediction of tropical cyclone (TC) intensity (i.e., maximum 1-min averaged 10-m wind speed). The AnEn is an inexpensive, naturally calibrated ensemble prediction ...
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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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