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A specific workshop called

"Short-Term Weather Forecasting for Probabilistic Wake-Vortex Prediction"

has been held on 

10th and 11th of May, 2010

at the Institut für Physik der Atmosphäre, DLR Oberpfaffenhofen, Germany.

The Agenda as held can be found here, information about the Background and Scope can also be downloaded.

The presentations itself can be downloaded below while the minutes of the meeting can be found here.

  1. Welcome & Introduction
    (Ulrich Schumann, Director of Institute of Atmospheric Physics and Frank Holzäpfel, Coordinator Area Technologies - WakeNet3-Europe, DLR)
  2. Introduction into Wake-Vortex Aspects for Meteorologists
    (Thomas Gerz / DLR)
  3. Introduction into Meteorological Aspects for Wake-Vortex Modelers
    (George Craig / Ludwig-Maximilians Universität, München)
  4. Short-term Prediction of Wind and Temperature Profiles based on Profiler RADAR data for the use by a Wake Vortex Warning System at Frankfurt Airport
    (Daniel Sacher / MeteoSolutions)
  5. Predictability of precipitation determined by convection-permitting ensemble modeling
    (Christian Keil / Ludwig-Maximilians Universität, München)
  6. Blending a probabilistic nowcasting method with a high resolution ensemble for convective precipitation forecasts
    (Kirstin Kober / DLR)
  7. Investigation of the effect of wind uncertainty/fluctuation on wake vortex transport NGE/IGE
    (Gregoire WINCKELMANS / UCL/iMMC)
  8. Methods to establish probabilistic wake vortex models
    (Frank HOLZÄPFEL / DLR)
  9. Towards an improved EDR output of the COSMO model for aviation purposes
    (Matthias Raschendorfer / DWD)
  10. Characterization of forecast uncertainty by means of ensemble techniques
    (Matthias Steiner / NCAR)
  11. Short Range Time-Lagged-Ensemble Forecasts of COSMO Airport
    (Klaus Dengler / DLR)
  12. Probabilistic wake vortex predictions using time-based ensemble weather predictions
    (Frank HOLZÄPFEL / DLR)
  13. Analysis of the Short-Term Variability of Crosswind Profiles
    (Matt Pruise / NorthWest Research Associates, USA)
  14. Observability of wake vortex relevant meteorological quantities based on actual wake vortex behaviour
    (Shanna Schönhals / Technische Universität Braunschweig)