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    A Downscaled Wind Climatology on the Outer Continental Shelf 

    Source: Journal of Applied Meteorology and Climatology:;2013:;volume( 052 ):;issue: 008:;page 1878
    Author(s): Woods, Bryan K.; Nehrkorn, Thomas; Henderson, John M.
    Publisher: American Meteorological Society
    Abstract: 31-yr time series of boundary layer winds has been developed for a region on the outer continental shelf. This simulated time series was designed to be suitable to study the wind resources for a potential offshore wind ...
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    An Analysis of Hurricane Opal’s Forecast Track Errors Using Quasigeostrophic Potential Vorticity Inversion 

    Source: Monthly Weather Review:;1999:;volume( 127 ):;issue: 003:;page 292
    Author(s): Henderson, John M.; Lackmann, Gary M.; Gyakum, John R.
    Publisher: American Meteorological Society
    Abstract: Hurricane Opal?s landfall in October 1995 forms the basis of a serious hurricane forecast problem?the potential for hurricane conditions over land with insufficient warning time. Official National Hurricane Center (NHC, a ...
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    Sensitivity of Continental-Scale Climate Trend Estimates to the Distribution of Radiosondes over North America 

    Source: Journal of Atmospheric and Oceanic Technology:;2003:;volume( 020 ):;issue: 002:;page 262
    Author(s): Rosen, Richard D.; Henderson, John M.; Salstein, David A.
    Publisher: American Meteorological Society
    Abstract: As part of its mandate to oversee the design of measurement networks for future weather and climate observing needs, the North American Atmospheric Observing System (NAOS) program hypothesized that replacing some of the ...
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    A Simulation Study Using a Local Ensemble Transform Kalman Filter for Data Assimilation in New York Harbor 

    Source: Journal of Atmospheric and Oceanic Technology:;2008:;volume( 025 ):;issue: 009:;page 1638
    Author(s): Hoffman, Ross N.; Ponte, Rui M.; Kostelich, Eric J.; Blumberg, Alan; Szunyogh, Istvan; Vinogradov, Sergey V.; Henderson, John M.
    Publisher: American Meteorological Society
    Abstract: Data assimilation approaches that use ensembles to approximate a Kalman filter have many potential advantages for oceanographic applications. To explore the extent to which this holds, the Estuarine and Coastal Ocean Model ...
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