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    The Objective Use of Observed and Forecast Thickness Values to Predict Precipitation Type in North Carolina 

    Source: Weather and Forecasting:;1991:;volume( 006 ):;issue: 004:;page 456
    Author(s): Keeter, Kermit K.; Cline, Joel W.
    Publisher: American Meteorological Society
    Abstract: The Local Objective Guidance for Predicting Precipitation Type (LOG/PT) consists of regression equations and nomograms. LOG/PT was designed to address problems inherent in forecasting wintry precipitation across North ...
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    A Wind Energy Ramp Tool and Metric for Measuring the Skill of Numerical Weather Prediction Models 

    Source: Weather and Forecasting:;2016:;volume( 031 ):;issue: 004:;page 1137
    Author(s): Bianco, Laura; Djalalova, Irina V.; Wilczak, James M.; Cline, Joel; Calvert, Stan; Konopleva-Akish, Elena; Finley, Cathy; Freedman, Jeffrey
    Publisher: American Meteorological Society
    Abstract: wind energy Ramp Tool and Metric (RT&M) has been developed out of recognition that during significant ramp events (large changes in wind power over short periods of time ) it is more difficult to balance the electric load ...
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    The POWER Experiment: Impact of Assimilation of a Network of Coastal Wind Profiling Radars on Simulating Offshore Winds in and above the Wind Turbine Layer 

    Source: Weather and Forecasting:;2016:;volume( 031 ):;issue: 004:;page 1071
    Author(s): Djalalova, Irina V.; Olson, Joseph; Carley, Jacob R.; Bianco, Laura; Wilczak, James M.; Pichugina, Yelena; Banta, Robert; Marquis, Melinda; Cline, Joel
    Publisher: American Meteorological Society
    Abstract: uring the summer of 2004 a network of 11 wind profiling radars (WPRs) was deployed in New England as part of the New England Air Quality Study (NEAQS). Observations from this dataset are used to determine their impact on ...
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    The Wind Forecast Improvement Project (WFIP): A Public–Private Partnership Addressing Wind Energy Forecast Needs 

    Source: Bulletin of the American Meteorological Society:;2014:;volume( 096 ):;issue: 010:;page 1699
    Author(s): Wilczak, James; Finley, Cathy; Freedman, Jeff; Cline, Joel; Bianco, Laura; Olson, Joseph; Djalalova, Irina; Sheridan, Lindsay; Ahlstrom, Mark; Manobianco, John; Zack, John; Carley, Jacob R.; Benjamin, Stan; Coulter, Richard; Berg, Larry K.; Mirocha, Jeffrey; Clawson, Kirk; Natenberg, Edward; Marquis, Melinda
    Publisher: American Meteorological Society
    Abstract: he Wind Forecast Improvement Project (WFIP) is a public?private research program, the goal of which is to improve the accuracy of short-term (0?6 h) wind power forecasts for the wind energy industry. WFIP was sponsored by ...
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    On Bridging A Modeling Scale Gap: Mesoscale to Microscale Coupling for Wind Energy 

    Source: Bulletin of the American Meteorological Society:;2020:;volume( 100 ):;issue: 012:;page 2533
    Author(s): Haupt, Sue Ellen;Kosovic, Branko;Shaw, William;Berg, Larry K.;Churchfield, Matthew;Cline, Joel;Draxl, Caroline;Ennis, Brandon;Koo, Eunmo;Kotamarthi, Rao;Mazzaro, Laura;Mirocha, Jeffrey;Moriarty, Patrick;Muñoz-Esparza, Domingo;Quon, Eliot;Rai, Raj K.;Robinson, Michael;Sever, Gokhan
    Publisher: American Meteorological Society
    Abstract: Accurately representing flow across the mesoscale to the microscale is a persistent roadblock for completing realistic microscale simulations. The science challenges that must be addressed to coupling at these scales include ...
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    Evaluating and Improving NWP Forecast Models for the Future: How the Needs of Offshore Wind Energy Can Point the Way 

    Source: Bulletin of the American Meteorological Society:;2017:;volume 099:;issue 006:;page 1155
    Author(s): Banta, Robert M.; Pichugina, Yelena L.; Brewer, W. Alan; James, Eric P.; Olson, Joseph B.; Benjamin, Stanley G.; Carley, Jacob R.; Bianco, Laura; Djalalova, Irina V.; Wilczak, James M.; Hardesty, R. Michael; Cline, Joel; Marquis, Melinda C.
    Publisher: American Meteorological Society
    Abstract: AbstractTo advance the understanding of meteorological processes in offshore coastal regions, the spatial variability of wind profiles must be characterized and uncertainties (errors) in NWP model wind forecasts quantified. ...
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    Measurements and Model Improvement: Insight into NWP Model Error Using Doppler Lidar and Other WFIP2 Measurement Systems 

    Source: Monthly Weather Review:;2023:;volume( 151 ):;issue: 012:;page 3063
    Author(s): Banta, Robert M.; Pichugina, Yelena L.; Brewer, W. Alan; Balmes, Kelly A.; Adler, Bianca; Sedlar, Joseph; Darby, Lisa S.; Turner, David D.; Kenyon, Jaymes S.; Strobach, Edward J.; Carroll, Brian J.; Sharp, Justin; Stoelinga, Mark T.; Cline, Joel; Fernando
    Publisher: American Meteorological Society
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