@misc{79962,
  keywords = {workshop, model uncertainty},
  author = {N. Gagnon and P.L. Houtekamer and X.-X. Deng and A. Erfani and M. Charron},
  title = {Review of the perturbation methods in the Meteorological Service of Canada (MSC) Global Ensemble Prediction System (GEPS)},
  abstract = {<p>
  MSC is running a 20 member GEPS (0.45x0.45L40) up to Day 16 operationally (32 days on Thursdays at 00Z). This system is using an Ensemble Kalman Filter as a data assimilation scheme (Houtekamer et al. 2014) to generate the initial conditions for the medium-range ensemble forecasts. The forecast perturbations are coming from set a multi-physical parameterizations as well as two stochastic approaches (physical tendencies perturbations and the stochastic energy back-scattering scheme).</p>

<ul><li>Context: In preparation of the arrival a new supercomputer and the associated opportunity to increase model resolution, an evaluation of the different perturbations methods of the MSC Global Ensemble Prediction System is performed.</li><li>Goal of the study: review the source of spread in the system.</li><li>Method: several experiments with individual source removed incrementally</li></ul>
<p>
  &nbsp;</p>
},
  year = {2016},
  journal = {ECMWF/WWRP Workshop: Model Uncertainty},
  month = {2016},
  address = {ECMWF},
  language = {eng},
}