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    Sensitivity of the ECMWF Model to Semi-Lagrangian Departure Point Iterations 

    Source: Monthly Weather Review:;2016:;volume( 144 ):;issue: 009:;page 3233
    Author(s): Diamantakis, Michail; Magnusson, Linus
    Publisher: American Meteorological Society
    Abstract: ccurate estimation of the position of the departure points (d.p.) is crucial for the accuracy of a semi-Lagrangian NWP model. This calculation is often performed applying an implicit discretization to a kinematic equation ...
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    Factors Influencing Skill Improvements in the ECMWF Forecasting System 

    Source: Monthly Weather Review:;2013:;volume( 141 ):;issue: 009:;page 3142
    Author(s): Magnusson, Linus; Källén, Erland
    Publisher: American Meteorological Society
    Abstract: uring the past 30 years the skill in ECMWF numerical forecasts has steadily improved. There are three major contributing factors: 1) improvements in the forecast model, 2) improvements in the data assimilation, and 3) the ...
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    Comparison between Singular Vectors and Breeding Vectors as Initial Perturbations for the ECMWF Ensemble Prediction System 

    Source: Monthly Weather Review:;2008:;volume( 136 ):;issue: 011:;page 4092
    Author(s): Magnusson, Linus; Leutbecher, Martin; Källén, Erland
    Publisher: American Meteorological Society
    Abstract: In this paper a study aimed at comparing the perturbation methodologies based on the singular vector ensemble prediction system (SV-EPS) and the breeding vector ensemble prediction system (BV-EPS) in the same model environment ...
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    Independent Estimations of the Asymptotic Variability in an Ensemble Forecast System 

    Source: Monthly Weather Review:;2008:;volume( 136 ):;issue: 011:;page 4105
    Author(s): Bengtsson, Lisa K.; Magnusson, Linus; Källén, Erland
    Publisher: American Meteorological Society
    Abstract: One desirable property within an ensemble forecast system is to have a one-to-one ratio between the root-mean-square error (rmse) of the ensemble mean and the standard deviation of the ensemble (spread). The ensemble spread ...
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    Late Spring and Summer Subseasonal Forecasts in the Northern Hemisphere Midlatitudes: Biases and Skill in the ECMWF Model 

    Source: Monthly Weather Review:;2021:;volume( 149 ):;issue: 008:;page 2659
    Author(s): Dutra, Emanuel;Johannsen, Frederico;Magnusson, Linus
    Publisher: American Meteorological Society
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    The 2013/14 Thames Basin Floods: Do Improved Meteorological Forecasts Lead to More Skillful Hydrological Forecasts at Seasonal Time Scales? 

    Source: Journal of Hydrometeorology:;2018:;volume 019:;issue 006:;page 1059
    Author(s): Neumann, Jessica; Arnal, Louise; Magnusson, Linus; Cloke, Hannah
    Publisher: American Meteorological Society
    Abstract: AbstractThe Thames basin experienced 12 major Atlantic depressions in winter 2013/14, leading to extensive and prolonged fluvial and groundwater flooding. This exceptional weather coincided with highly anomalous meteorological ...
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    The Indian Ocean: The Region of Highest Skill Worldwide in Decadal Climate Prediction 

    Source: Journal of Climate:;2012:;volume( 026 ):;issue: 003:;page 726
    Author(s): Guemas, Virginie; Corti, Susanna; García-Serrano, J.; Doblas-Reyes, F. J.; Balmaseda, Magdalena; Magnusson, Linus
    Publisher: American Meteorological Society
    Abstract: he Indian Ocean stands out as the region where the state-of-the-art decadal climate predictions of sea surface temperature (SST) perform the best worldwide for forecast times ranging from the second to the ninth year, ...
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    Evaluation of Medium-Range Forecasts for Hurricane Sandy 

    Source: Monthly Weather Review:;2014:;volume( 142 ):;issue: 005:;page 1962
    Author(s): Magnusson, Linus; Bidlot, Jean-Raymond; Lang, Simon T. K.; Thorpe, Alan; Wedi, Nils; Yamaguchi, Munehiko
    Publisher: American Meteorological Society
    Abstract: n 30 October 2012 Hurricane Sandy made landfall on the U.S. East Coast with a devastating impact. Here the performance of the ECMWF forecasts (both high resolution and ensemble) are evaluated together with ensemble forecasts ...
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    Diagnosis of the Source and Evolution of Medium-Range Forecast Errors for Extratropical Cyclone Joachim 

    Source: Weather and Forecasting:;2016:;volume( 031 ):;issue: 004:;page 1197
    Author(s): Lamberson, William S.; Torn, Ryan D.; Bosart, Lance F.; Magnusson, Linus
    Publisher: American Meteorological Society
    Abstract: edium-range forecasts for Cyclone Joachim, an extratropical cyclone that impacted western Europe on 16 December 2011, consistently predicted a high-impact intense cyclone; however, these forecasts failed to verify. The ...
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    The Rise of Data-Driven Weather Forecasting: A First Statistical Assessment of Machine Learning–Based Weather Forecasts in an Operational-Like Context 

    Source: Bulletin of the American Meteorological Society:;2024:;volume( 105 ):;issue: 006:;page E864
    Author(s): Ben Bouallègue, Zied; Clare, Mariana C. A.; Magnusson, Linus; Gascón, Estibaliz; Maier-Gerber, Michael; Janoušek, Martin; Rodwell, Mark; Pinault, Florian; Dramsch, Jesper S.; Lang, Simon T. K.; Raoult, Baudouin; Rabier, Florence; Chevallier, Matthieu; San
    Publisher: American Meteorological Society
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