22nd Conference on Weather Analysis and Forecasting/18th Conference on Numerical Weather Prediction

7B.6

Probabilistic QPF using a multi-physics WRF ensemble

Brian J. Etherton, University of North Carolina, Charlotte, NC; and L. Brieger

The numerical prediction of convective precipitation depends, to a great deal, on the physics of a forecast model. Additionally, initial conditions play a role in where convection will develop. A 16-member ensemble of Weather Research and Forecasting (WRF) model simulations was used for QPF for the Carolinas during the spring (April and May) of 2007. Ensemble members were split by: initialization time (00Z or 06Z), PBL scheme (YSU or MYJ), soil physics (Noah or MM5), and moist physics (Lin or Thompson). Results will show which differences resulted in ensemble spread and which yielded no significant differences.

extended abstract  Extended Abstract (92K)

wrf recording  Recorded presentation

Session 7B, Ensemble Modeling
Wednesday, 27 June 2007, 2:00 PM-4:00 PM, Summit B

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