SEARCH

SEARCH BY CITATION

Cited in:

CrossRef

This article has been cited by:

  1. 1
    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
  2. 2
    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

  3. 3
    Tilmann Gneiting, Matthias Katzfuss, Probabilistic Forecasting, Annual Review of Statistics and Its Application, 2014, 1, 1, 125

    CrossRef

  4. 4
    M. Scheuerer, Probabilistic quantitative precipitation forecasting using Ensemble Model Output Statistics, Quarterly Journal of the Royal Meteorological Society, 2014, 140, 680
  5. 5
    Sándor Baran, Probabilistic wind speed forecasting using Bayesian model averaging with truncated normal components, Computational Statistics & Data Analysis, 2014, 75, 227

    CrossRef

  6. 6
    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
  7. 7
    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
  8. 8
    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

  9. 9
    Adam H. Monahan, The Gaussian Statistical Predictability of Wind Speeds, Journal of Climate, 2013, 26, 15, 5563

    CrossRef

  10. 10
    Pierre Pinson, Adaptive calibration of (u,v)-wind ensemble forecasts, Quarterly Journal of the Royal Meteorological Society, 2012, 138, 666
  11. 11
    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
  12. 12
    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

  13. 13
    Nina Schuhen, Thordis L. Thorarinsdottir, Tilmann Gneiting, Ensemble Model Output Statistics for Wind Vectors, Monthly Weather Review, 2012, 140, 10, 3204

    CrossRef

  14. 14
    Thordis L. Thorarinsdottir, Matthew S. Johnson, Probabilistic Wind Gust Forecasting Using Nonhomogeneous Gaussian Regression, Monthly Weather Review, 2012, 140, 3, 889

    CrossRef

  15. You have free access to this content15
    Xinxin Zhu, Marc G. Genton, Short-Term Wind Speed Forecasting for Power System Operations, International Statistical Review, 2012, 80, 1
  16. 16
    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

  17. 17
    Pierre Pinson, George Kariniotakis, Conditional Prediction Intervals of Wind Power Generation, IEEE Transactions on Power Systems, 2010, 25, 4, 1845

    CrossRef