TY - GEN
KW - workshop
KW - model uncertainty
AU - N. Gagnon
AU - P.L. Houtekamer
AU - X.-X. Deng
AU - A. Erfani
AU - M. Charron
AB - <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>

BT - ECMWF/WWRP Workshop: Model Uncertainty
C1 - Events
CY - ECMWF
DA - 2016
LA - eng
N2 - <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>

PP - ECMWF
PY - 2016
T2 - ECMWF/WWRP Workshop: Model Uncertainty
TI - Review of the perturbation methods in the Meteorological Service of Canada (MSC) Global Ensemble Prediction System (GEPS)
ER -