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    Accounting for Model Error in Variational Data Assimilation: A Deterministic Formulation 

    Source: Monthly Weather Review:;2010:;volume( 138 ):;issue: 009:;page 3369
    Author(s): Carrassi, Alberto; Vannitsem, Stéphane
    Publisher: American Meteorological Society
    Abstract: In data assimilation, observations are combined with the dynamics to get an estimate of the actual state of a natural system. The knowledge of the dynamics, under the form of a model, is unavoidably incomplete and model ...
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    CORRIGENDUM 

    Source: Monthly Weather Review:;2012:;volume( 140 ):;issue: 006:;page 2018
    Author(s): Roulin, Emmanuel; Vannitsem, Stéphane
    Publisher: American Meteorological Society
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    Postprocessing of Ensemble Precipitation Predictions with Extended Logistic Regression Based on Hindcasts 

    Source: Monthly Weather Review:;2011:;volume( 140 ):;issue: 003:;page 874
    Author(s): Roulin, Emmanuel; Vannitsem, Stéphane
    Publisher: American Meteorological Society
    Abstract: xtended logistic regression is used to calibrate areal precipitation forecasts over two small catchments in Belgium computed with the European Centre for Medium-Range Weather Forecasts (ECMWF) Ensemble Prediction System ...
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    Skill of Medium-Range Hydrological Ensemble Predictions 

    Source: Journal of Hydrometeorology:;2005:;Volume( 006 ):;issue: 005:;page 729
    Author(s): Roulin, Emmanuel; Vannitsem, Stéphane
    Publisher: American Meteorological Society
    Abstract: A hydrological ensemble prediction system, integrating a water balance model with ensemble precipitation forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF) Ensemble Prediction System (EPS), is ...
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    A Probabilistic Approach to Forecast the Uncertainty with Ensemble Spread 

    Source: Monthly Weather Review:;2015:;volume( 144 ):;issue: 001:;page 451
    Author(s): Van Schaeybroeck, Bert; Vannitsem, Stéphane
    Publisher: American Meteorological Society
    Abstract: he ensemble spread is often used as a measure of forecast quality or uncertainty. However, it is not clear whether the spread is a good measure of uncertainty and how the spread?error relationship can be properly assessed. ...
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    Adaptive Kalman Filtering for Postprocessing Ensemble Numerical Weather Predictions 

    Source: Monthly Weather Review:;2017:;volume( 145 ):;issue: 012:;page 4837
    Author(s): Pelosi, Anna;Medina, Hanoi;Van den Bergh, Joris;Vannitsem, Stéphane;Chirico, Giovanni Battista
    Publisher: American Meteorological Society
    Abstract: AbstractForecasts from numerical weather prediction models suffer from systematic and nonsystematic errors, which originate from various sources such as subgrid-scale variability affecting large scales. Statistical ...
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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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    Assimilation of Sentinel-1 Backscatter into a Land Surface Model with River Routing and Its Impact on Streamflow Simulations in Two Belgian Catchments 

    Source: Journal of Hydrometeorology:;2023:;volume( 024 ):;issue: 012:;page 2389
    Author(s): Bechtold, Michel; Modanesi, Sara; Lievens, Hans; Baguis, Pierre; Brangers, Isis; Carrassi, Alberto; Getirana, Augusto; Gruber, Alexander; Heyvaert, Zdenko; Massari, Christian; Scherrer, Samuel; Vannitsem, Stéphane; De Lannoy, Gabrielle
    Publisher: American Meteorological Society
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