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First 1357 results for ” M Schmeits”

  1. A Stratified Sampling Approach for Improved Sampling from a Calibrated Ensemble Forecast Distribution

    Before using the Schaake Shuffle or Empirical Copula Coupling to reconstruct the dependence struc...

    Y Hu, MJ Schmeits, S van Andel, JS Verkade, M Xu, DP Solomatine, Z Liang | Status: published | Journal: J. Hydrometeor. | Volume: 17 | Year: 2016 | First page: 2405 | Last page: 2417 | doi: 10.1175/JHM-D-15-0205.1

    Publication

  2. Skill improvement of dynamical seasonal Arctic sea ice forecasts

    We explore the error and improve the skill of the outcome from dynamical seasonal Arctic sea ice ...

    F Krikken, MJ Schmeits, W Vlot, V Guemas, W Hazeleger | Status: published | Journal: Geophys. Res. Lett. | Volume: 43 | Year: 2016 | First page: 5124 | Last page: 5132 | doi: 10.1002/2016GL068462

    Publication

  3. Probabilistic forecasts of (severe) thunderstorms for the purpose of issuing a weather alarm in the Netherlands

    MJ Schmeits, CJ Kok, DHP Vogelezang, RM van Westrhenen | Status: published | Journal: Weather and Forecasting | Volume: 23 | Year: 2008 | First page: 1253 | Last page: 1267 | doi: 10.1175/2008WAF2007102.1

    Publication

  4. Subseasonal Statistical Forecasts of Eastern U.S. Hot Temperature Events

    Extreme summer temperatures can cause severe societal impacts. Early warnings can aid societal pr...

    S Vijverberg, M Schmeits, K van der Wiel, D Coumou | Status: published | Journal: Mon. Wea. Rev. | Volume: 148 | Year: 2020 | First page: 4799 | Last page: 4822 | doi: 10.1175/MWR-D-19-0409.1

    Publication

  5. Statistical Postprocessing of Wind Speed Forecasts Using Convolutional Neural Networks

    Current statistical postprocessing methods for probabilistic weather forecasting are not capable ...

    Veldkamp, S., Whan, K., Dirksen, S., and Schmeits, M. | Journal: Monthly Weather Review | Volume: 149 | Year: 2021 | First page: 1141 | Last page: 1152 | doi: 10.1175/MWR-D-20-0219.1

    Publication