SEARCH

SEARCH BY CITATION

Cited in:

CrossRef

This article has been cited by:

  1. 1
    Constantin Junk, Luca Delle Monache, Stefano Alessandrini, Analog-Based Ensemble Model Output Statistics, Monthly Weather Review, 2015, 143, 7, 2909

    CrossRef

  2. 2
    S. Baran, A. Möller, Joint probabilistic forecasting of wind speed and temperature using Bayesian model averaging, Environmetrics, 2015, 26, 2
  3. 3
    Sándor Baran, Sebastian Lerch, Log-normal distribution based Ensemble Model Output Statistics models for probabilistic wind-speed forecasting, Quarterly Journal of the Royal Meteorological Society, 2015, 141, 690
  4. 4
    Jie Yan, Yongqian Liu, Shuang Han, Yimei Wang, Shuanglei Feng, Reviews on uncertainty analysis of wind power forecasting, Renewable and Sustainable Energy Reviews, 2015, 52, 1322

    CrossRef

  5. 5
    Emil B. Iversen, Juan M. Morales, Jan K. Møller, Henrik Madsen, Short-term probabilistic forecasting of wind speed using stochastic differential equations, International Journal of Forecasting, 2015,

    CrossRef

  6. 6
    Kira Feldmann, Michael Scheuerer, Thordis L. Thorarinsdottir, Spatial Postprocessing of Ensemble Forecasts for Temperature Using Nonhomogeneous Gaussian Regression, Monthly Weather Review, 2015, 143, 3, 955

    CrossRef

  7. 7
    Michael Scheuerer, Thomas M. Hamill, Variogram-Based Proper Scoring Rules for Probabilistic Forecasts of Multivariate Quantities*, Monthly Weather Review, 2015, 143, 4, 1321

    CrossRef

  8. 8
    Rabea Haas, Joaquim G. Pinto, Kai Born, Can dynamically downscaled windstorm footprints be improved by observations through a probabilistic approach?, Journal of Geophysical Research: Atmospheres, 2014, 119, 2
  9. 9
    Constantin Junk, Lueder von Bremen, Martin Kühn, Stephan Späth, Detlev Heinemann, Comparison of Postprocessing Methods for the Calibration of 100-m Wind Ensemble Forecasts at Off- and Onshore Sites, Journal of Applied Meteorology and Climatology, 2014, 53, 4, 950

    CrossRef

  10. 10
    Jakob W. Messner, Georg J. Mayr, Daniel S. Wilks, Achim Zeileis, Extending Extended Logistic Regression: Extended versus Separate versus Ordered versus Censored, Monthly Weather Review, 2014, 142, 8, 3003

    CrossRef

  11. 11
    Tilmann Gneiting, Matthias Katzfuss, Probabilistic Forecasting, Annual Review of Statistics and Its Application, 2014, 1, 1, 125

    CrossRef

  12. 12
    M. Scheuerer, Probabilistic quantitative precipitation forecasting using Ensemble Model Output Statistics, Quarterly Journal of the Royal Meteorological Society, 2014, 140, 680
  13. 13
    Jakob W. Messner, Achim Zeileis, Jochen Broecker, Georg J. Mayr, Probabilistic wind power forecasts with an inverse power curve transformation and censored regression, Wind Energy, 2014, 17, 11
  14. 14
    Sándor Baran, Probabilistic wind speed forecasting using Bayesian model averaging with truncated normal components, Computational Statistics & Data Analysis, 2014, 75, 227

    CrossRef

  15. 15
    Michael Scheuerer, Luca Büermann, Spatially adaptive post-processing of ensemble forecasts for temperature, Journal of the Royal Statistical Society: Series C (Applied Statistics), 2014, 63, 3
  16. 16
    S. Hemri, M. Scheuerer, F. Pappenberger, K. Bogner, T. Haiden, Trends in the predictive performance of raw ensemble weather forecasts, Geophysical Research Letters, 2014, 41, 24
  17. 17
    Annette Möller, Alex Lenkoski, Thordis L. Thorarinsdottir, Multivariate probabilistic forecasting using ensemble Bayesian model averaging and copulas, Quarterly Journal of the Royal Meteorological Society, 2013, 139, 673
  18. 18
    J. McLean Sloughter, Tilmann Gneiting, Adrian E. Raftery, Probabilistic Wind Vector Forecasting Using Ensembles and Bayesian Model Averaging, Monthly Weather Review, 2013, 141, 6, 2107

    CrossRef

  19. 19
    Adam H. Monahan, The Gaussian Statistical Predictability of Wind Speeds, Journal of Climate, 2013, 26, 15, 5563

    CrossRef

  20. 20
    Pierre Pinson, Adaptive calibration of (u,v)-wind ensemble forecasts, Quarterly Journal of the Royal Meteorological Society, 2012, 138, 666
  21. 21
    John W. Galbraith, Simon van Norden, Assessing gross domestic product and inflation probability forecasts derived from Bank of England fan charts, Journal of the Royal Statistical Society: Series A (Statistics in Society), 2012, 175, 3
  22. 22
    Adam H. Monahan, Can We See the Wind? Statistical Downscaling of Historical Sea Surface Winds in the Subarctic Northeast Pacific, Journal of Climate, 2012, 25, 5, 1511

    CrossRef

  23. 23
    Nina Schuhen, Thordis L. Thorarinsdottir, Tilmann Gneiting, Ensemble Model Output Statistics for Wind Vectors, Monthly Weather Review, 2012, 140, 10, 3204

    CrossRef

  24. 24
    Thordis L. Thorarinsdottir, Matthew S. Johnson, Probabilistic Wind Gust Forecasting Using Nonhomogeneous Gaussian Regression, Monthly Weather Review, 2012, 140, 3, 889

    CrossRef

  25. 25
    Xinxin Zhu, Marc G. Genton, Short-Term Wind Speed Forecasting for Power System Operations, International Statistical Review, 2012, 80, 1
  26. 26
    Charles L. Curry, Derek van der Kamp, Adam H. Monahan, Statistical downscaling of historical monthly mean winds over a coastal region of complex terrain. I. Predicting wind speed, Climate Dynamics, 2012, 38, 7-8, 1281

    CrossRef

  27. 27
    Pierre Pinson, Renate Hagedorn, Verification of the ECMWF ensemble forecasts of wind speed against analyses and observations, Meteorological Applications, 2012, 19, 4
  28. 28
    D.S. Wilks, Statistical Methods in the Atmospheric Sciences, 2011,

    CrossRef

  29. 29
    Pierre Pinson, George Kariniotakis, Conditional Prediction Intervals of Wind Power Generation, IEEE Transactions on Power Systems, 2010, 25, 4, 1845

    CrossRef