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    Wind Rose Bias Correction 

    Source: Journal of Applied Meteorology and Climatology:;2012:;volume( 051 ):;issue: 007:;page 1305
    Author(s): Applequist, Scott
    Publisher: American Meteorological Society
    Abstract: ind rose summaries, which provide a basis for understanding and evaluating the climatological behavior of local wind, have a directional bias if a conventional method is used in their generation. Three techniques used to ...
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    A Harmonic Approach for Calculating Daily Temperature Normals Constrained by Homogenized Monthly Temperature Normals 

    Source: Journal of Atmospheric and Oceanic Technology:;2013:;volume( 030 ):;issue: 007:;page 1259
    Author(s): Arguez, Anthony; Applequist, Scott
    Publisher: American Meteorological Society
    Abstract: OAA released the new 1981?2010 climate normals in July 2011. These included monthly and daily normals of minimum and maximum temperature. Monthly normals were computed from monthly temperature values that were corrected ...
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    NOAA’s 1981–2010 U.S. Climate Normals: Monthly Precipitation, Snowfall, and Snow Depth 

    Source: Journal of Applied Meteorology and Climatology:;2013:;volume( 052 ):;issue: 011:;page 2377
    Author(s): Durre, Imke; Squires, Michael F.; Vose, Russell S.; Yin, Xungang; Arguez, Anthony; Applequist, Scott
    Publisher: American Meteorological Society
    Abstract: he 1981?2010 ?U.S. Climate Normals? released by the National Oceanic and Atmospheric Administration?s (NOAA) National Climatic Data Center include a suite of monthly, seasonal, and annual statistics that are based on ...
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    1981–2010 U.S. Hourly Normals 

    Source: Bulletin of the American Meteorological Society:;2012:;volume( 093 ):;issue: 011:;page 1637
    Author(s): Applequist, Scott; Arguez, Anthony; Durre, Imke; Squires, Michael F.; Vose, Russell S.; Yin, Xungang
    Publisher: American Meteorological Society
    Abstract: 2010 U.S. Climate Normals released by the National Oceanic and Atmospheric Administration's (NOAA) National Climatic Data Center (NCDC) include a suite of descriptive statistics based on hourly observations. For each hour ...
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    Improved Results for Probabilistic Quantitative Precipitation Forecasting 

    Source: Weather and Forecasting:;2003:;volume( 018 ):;issue: 005:;page 879
    Author(s): Gahrs, Gregory E.; Applequist, Scott; Pfeffer, Richard L.; Niu, Xu-Feng
    Publisher: American Meteorological Society
    Abstract: As a follow-up to a recent paper by the authors in which various methodologies for probabilistic quantitative precipitation forecasting were compared, it is shown here that the skill scores for linear regression and logistic ...
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    Comparison of Methodologies for Probabilistic Quantitative Precipitation Forecasting 

    Source: Weather and Forecasting:;2002:;volume( 017 ):;issue: 004:;page 783
    Author(s): Applequist, Scott; Gahrs, Gregory E.; Pfeffer, Richard L.; Niu, Xu-Feng
    Publisher: American Meteorological Society
    Abstract: Twenty-four-hour probabilistic quantitative precipitation forecasts (PQPFs) for accumulations exceeding thresholds of 0.01, 0.05, and 0.10 in. are produced for 154 meteorological stations over the eastern and central regions ...
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    Enhancing the Data Coverage in the Integrated Global Radiosonde Archive 

    Source: Journal of Atmospheric and Oceanic Technology:;2018:;volume 035:;issue 009:;page 1753
    Author(s): Durre, Imke; Yin, Xungang; Vose, Russell S.; Applequist, Scott; Arnfield, Jeff
    Publisher: American Meteorological Society
    Abstract: AbstractThe Integrated Global Radiosonde Archive (IGRA) is a collection of historical and near-real-time radiosonde and pilot balloon observations from around the globe. Consisting of a foundational dataset of individual ...
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    NOAA's 1981–2010 U.S. Climate Normals: An Overview 

    Source: Bulletin of the American Meteorological Society:;2012:;volume( 093 ):;issue: 011:;page 1687
    Author(s): Arguez, Anthony; Durre, Imke; Applequist, Scott; Vose, Russell S.; Squires, Michael F.; Yin, Xungang; Heim, Richard R.; Owen, Timothy W.
    Publisher: American Meteorological Society
    Abstract: nal Oceanic and Atmospheric Administration (NOAA) released the 1981?2010 U.S. Climate Normals in July 2011, representing the latest decadal installment of this long-standing product line. Climatic averages (and other ...
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    Improved Historical Temperature and Precipitation Time Series for U.S. Climate Divisions 

    Source: Journal of Applied Meteorology and Climatology:;2014:;volume( 053 ):;issue: 005:;page 1232
    Author(s): Vose, Russell S.; Applequist, Scott; Squires, Mike; Durre, Imke; Menne, Matthew J.; Williams, Claude N.; Fenimore, Chris; Gleason, Karin; Arndt, Derek
    Publisher: American Meteorological Society
    Abstract: his paper describes an improved edition of the climate division dataset for the conterminous United States (i.e., version 2). The first improvement is to the input data, which now include additional station networks, quality ...
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    Monitoring and Understanding Changes in Extremes: Extratropical Storms, Winds, and Waves 

    Source: Bulletin of the American Meteorological Society:;2013:;volume( 095 ):;issue: 003:;page 377
    Author(s): Vose, Russell S.; Applequist, Scott; Bourassa, Mark A.; Pryor, Sara C.; Barthelmie, Rebecca J.; Blanton, Brian; Bromirski, Peter D.; Brooks, Harold E.; DeGaetano, Arthur T.; Dole, Randall M.; Easterling, David R.; Jensen, Robert E.; Karl, Thomas R.; Katz, Richard W.; Klink, Katherine; Kruk, Michael C.; Kunkel, Kenneth E.; MacCracken, Michael C.; Peterson, Thomas C.; Shein, Karsten; Thomas, Bridget R.; Walsh, John E.; Wang, Xiaolan L.; Wehner, Michael F.; Wuebbles, Donald J.; Young, Robert S.
    Publisher: American Meteorological Society
    Abstract: ntific assessment examines changes in three climate extremes?extratropical storms, winds, and waves?with an emphasis on U.S. coastal regions during the cold season. There is moderate evidence of an increase in both ...
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