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    Discrete Postprocessing of Total Cloud Cover Ensemble Forecasts 

    Source: Monthly Weather Review:;2016:;volume( 144 ):;issue: 007:;page 2565
    Author(s): Hemri, Stephan; Haiden, Thomas; Pappenberger, Florian
    Publisher: American Meteorological Society
    Abstract: his paper presents an approach to postprocess ensemble forecasts for the discrete and bounded weather variable of total cloud cover. Two methods for discrete statistical postprocessing of ensemble predictions are tested: ...
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    Seamless Multimodel Postprocessing for Air Temperature Forecasts in Complex Topography 

    Source: Weather and Forecasting:;2021:;volume( 036 ):;issue: 003:;page 1031
    Author(s): Keller, Regula;Rajczak, Jan;Bhend, Jonas;Spirig, Christoph;Hemri, Stephan;Liniger, Mark A.;Wernli, Heini
    Publisher: American Meteorological Society
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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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