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    Comparing Area Probability Forecasts of (Extreme) Local Precipitation Using Parametric and Machine Learning Statistical Postprocessing Methods 

    Source: Monthly Weather Review:;2018:;volume 146:;issue 011:;page 3651
    Author(s): Whan, Kirien; Schmeits, Maurice
    Publisher: American Meteorological Society
    Abstract: AbstractProbabilistic forecasts, which communicate forecast uncertainties, enable users to make better weather-based decisions. Using precipitation and numerous instability indices from the deterministic model HARMONIE?AROME ...
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    Bimodal Behavior of the Kuroshio and the Gulf Stream 

    Source: Journal of Physical Oceanography:;2001:;Volume( 031 ):;issue: 012:;page 3435
    Author(s): Schmeits, Maurice J.; Dijkstra, Henk A.
    Publisher: American Meteorological Society
    Abstract: For a long time, observations have indicated that the Kuroshio in the North Pacific Ocean displays bimodal meandering behavior off the southern coast of Japan. For the Gulf Stream in the North Atlantic Ocean, weakly and ...
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    Physics of the 9-Month Variability in the Gulf Stream Region: Combining Data and Dynamical Systems Analyses 

    Source: Journal of Physical Oceanography:;2000:;Volume( 030 ):;issue: 008:;page 1967
    Author(s): Schmeits, Maurice J.; Dijkstra, Henk A.
    Publisher: American Meteorological Society
    Abstract: Using nonseasonal altimeter data and SST observations of the North Atlantic, and more specifically the Gulf Stream region, dominant patterns of variability are determined using multivariate time series analyses. A statistically ...
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    A Comparison between Raw Ensemble Output, (Modified) Bayesian Model Averaging, and Extended Logistic Regression Using ECMWF Ensemble Precipitation Reforecasts 

    Source: Monthly Weather Review:;2010:;volume( 138 ):;issue: 011:;page 4199
    Author(s): Schmeits, Maurice J.; Kok, Kees J.
    Publisher: American Meteorological Society
    Abstract: Using a 20-yr ECMWF ensemble reforecast dataset of total precipitation and a 20-yr dataset of a dense precipitation observation network in the Netherlands, a comparison is made between the raw ensemble output, Bayesian ...
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    A Comparative Verification of Raw and Bias-Corrected ECMWF Seasonal Ensemble Precipitation Reforecasts in Java (Indonesia) 

    Source: Journal of Applied Meteorology and Climatology:;2019:;volume 058:;issue 008:;page 1709
    Author(s): Ratri, Dian Nur; Whan, Kirien; Schmeits, Maurice
    Publisher: American Meteorological Society
    Abstract: AbstractDynamical seasonal forecasts are afflicted with biases, including seasonal ensemble precipitation forecasts from the new ECMWF seasonal forecast system 5 (SEAS5). In this study, biases have been corrected using ...
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    Calibration of ECMWF Seasonal Ensemble Precipitation Reforecasts in Java (Indonesia) Using Bias-Corrected Precipitation and Climate Indices 

    Source: Weather and Forecasting:;2021:;volume( 036 ):;issue: 004:;page 1375
    Author(s): Ratri, Dian Nur;Whan, Kirien;Schmeits, Maurice
    Publisher: American Meteorological Society
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    Probabilistic Forecasting of (Severe) Thunderstorms in the Netherlands Using Model Output Statistics 

    Source: Weather and Forecasting:;2005:;volume( 020 ):;issue: 002:;page 134
    Author(s): Schmeits, Maurice J.; Kok, Kees J.; Vogelezang, Daan H. P.
    Publisher: American Meteorological Society
    Abstract: The derivation and verification of logistic regression equations for the (conditional) probability of (severe) thunderstorms in the warm half-year (from mid-April to mid-October) in the Netherlands is described. For 12 ...
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    Sub-seasonal statistical forecasts of eastern United States hot temperature events 

    Source: Monthly Weather Review:;2020:;volume( ):;issue: -:;page 1
    Author(s): Vijverberg, Sem;Schmeits, Maurice;van der Wiel, Karin;Coumou, Dim
    Publisher: American Meteorological Society
    Abstract: Extreme summer temperatures can cause severe societal impacts. Early warnings can aid societal preparedness, but reliable forecasts for extreme temperatures at subseasonal-to-seasonal (S2S) timescales are still missing. ...
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    Statistical Postprocessing of Wind Speed Forecasts Using Convolutional Neural Networks 

    Source: Monthly Weather Review:;2021:;volume( 149 ):;issue: 004:;page 1141
    Author(s): Veldkamp, Simon;Whan, Kirien;Dirksen, Sjoerd;Schmeits, Maurice
    Publisher: American Meteorological Society
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    Seasonal Streamflow Forecasting for Fresh Water Reservoir Management in the Netherlands: An Assessment of Multiple Prediction Systems 

    Source: Journal of Hydrometeorology:;2023:;volume( 024 ):;issue: 007:;page 1275
    Author(s): Hurkmans, Ruud T. W. L.; van den Hurk, Bart; Schmeits, Maurice; Wetterhall, Fredrik; Pechlivanidis, Ilias G.
    Publisher: American Meteorological Society
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