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    Constrained Quantile Regression Splines for Ensemble Postprocessing 

    Source: Monthly Weather Review:;2019:;volume 147:;issue 005:;page 1769
    Author(s): Bremnes, John Bjørnar
    Publisher: American Meteorological Society
    Abstract: AbstractStatistical postprocessing of ensemble forecasts is widely applied to make reliable probabilistic weather forecasts. Motivated by the fact that nature imposes few restrictions on the shape of forecast distributions, ...
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    Bayesian Model Averaging for Wind Speed Ensemble Forecasts Using Wind Speed and Direction 

    Source: Weather and Forecasting:;2017:;volume( 032 ):;issue: 006:;page 2217
    Author(s): Eide, Siri Sofie;Bremnes, John Bjørnar;Steinsland, Ingelin
    Publisher: American Meteorological Society
    Abstract: AbstractIn this paper, probabilistic wind speed forecasts are constructed based on ensemble numerical weather prediction (NWP) forecasts for both wind speed and wind direction. Including other NWP variables in addition to ...
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    Ensemble Prediction with Different Spatial Resolutions for the 2014 Sochi Winter Olympic Games: The Effects of Calibration and Multimodel Approaches 

    Source: Weather and Forecasting:;2016:;volume( 031 ):;issue: 006:;page 1833
    Author(s): Frogner, Inger-Lise; Nipen, Thomas; Singleton, Andrew; Bremnes, John Bjørnar; Vignes, Ole
    Publisher: American Meteorological Society
    Abstract: hree ensemble prediction systems (EPSs) with different grid spacings are compared and evaluated with respect to their ability to predict wintertime weather in complex terrain. The experiment period was two-and-a-half winter ...
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    Statistical Postprocessing for Weather Forecasts: Review, Challenges, and Avenues in a Big Data World 

    Source: Bulletin of the American Meteorological Society:;2021:;volume( 102 ):;issue: 003
    Author(s): Vannitsem, Stéphane;Bremnes, John Bjørnar;Demaeyer, Jonathan;Evans, Gavin R.;Flowerdew, Jonathan;Hemri, Stephan;Lerch, Sebastian;Roberts, Nigel;Theis, Susanne;Atencia, Aitor;Ben Bouallègue, Zied;Bhend, Jonas;Dabernig, Markus;De Cruz, Lesley;Hieta, Leila;M
    Publisher: American Meteorological Society
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