Impact of Resolution and Design on the U.S. Navy Global Ensemble Performance in the Tropics

The performance of the U.S. Navy globalatmosphericensemble prediction systemis examinedwith a focus on tropical winds and tropical cyclone tracks. Ensembles are run at a triangular truncation of T119, T159, and T239, with 33, 17, and 9 ensemble members, respectively, to evaluate the impact of resolution versus the number of ensemble member tradeoffs on ensemble performance. Results indicate that the T159 and T239 ensemble mean tropical cyclone track errors are significantly smaller than those of the T119 ensemble out to 4days.For ensemble forecastsofupper-andlower-tropospherictropicalwinds,increasingresolutionhasonly a small impact on ensemble mean root-mean-square error for wind speed, but does improve Brier scores for 10-m wind speed at the 5 m s 21 threshold. In addition to the resolution tests, modifications to the ensemble transform initial perturbation methodology and inclusion of stochastic kinetic energy backscatter are also evaluated. Stochastic kinetic energy backscatter substantially increases the ensemble spread and improves Brier scores in the tropics, but for the most part does not significantly reduce ensemble mean tropical cyclone track error.

[1]  C. Bishop,et al.  The ensemble‐transform scheme adapted for the generation of stochastic forecast perturbations , 2007 .

[2]  松山 洋 「Statistical Methods in the Atmospheric Sciences(2nd edition), International Geophysics Series 91」, Daniel S. Wilks著, Academic Press, 2005年11月, 648頁, $94.95, ISBN978-0-12-751966-1(本だな) , 2010 .

[3]  S. Majumdar,et al.  On the Ability of Global Ensemble Prediction Systems to Predict Tropical Cyclone Track Probabilities , 2010 .

[4]  P. L. Houtekamer,et al.  A System Simulation Approach to Ensemble Prediction , 1996 .

[5]  Carolyn A. Reynolds,et al.  Stochastic Nature of Physical Parameterizations in Ensemble Prediction: A Stochastic Convection Approach , 2008 .

[6]  T. N. Krishnamurti,et al.  Real-Time Multimodel Superensemble Forecasts of Atlantic Tropical Systems of 1999 , 2003 .

[7]  Kerry Emanuel,et al.  Development and Evaluation of a Convection Scheme for Use in Climate Models , 1999 .

[8]  Stanley G. Benjamin,et al.  Global Ensemble Predictions of 2009’s Tropical Cyclones Initialized with an Ensemble Kalman Filter , 2011 .

[9]  Martin Leutbecher,et al.  A Spectral Stochastic Kinetic Energy Backscatter Scheme and Its Impact on Flow-Dependent Predictability in the ECMWF Ensemble Prediction System , 2009 .

[10]  T. Palmer,et al.  Ensemble prediction of tropical cyclones using targeted diabatic singular vectors , 2001 .

[11]  Neill E. Bowler,et al.  The local ETKF and SKEB: Upgrades to the MOGREPS short‐range ensemble prediction system , 2009 .

[12]  W. Briggs Statistical Methods in the Atmospheric Sciences , 2007 .

[13]  Carolyn A. Reynolds,et al.  Impact of Stochastic Convection on the Ensemble Transform , 2008 .

[14]  Roberto Buizza,et al.  Impact of Ensemble Size on Ensemble Prediction , 1998 .

[15]  James S. Goerss,et al.  Tropical Cyclone Track Forecasts Using an Ensemble of Dynamical Models , 2000 .

[16]  C. Bishop,et al.  Ensemble Transform Kalman Filter-based ensemble perturbations in an operational global prediction system at NCEP , 2006 .

[17]  Melinda S. Peng,et al.  Recent Modifications of the Emanuel Convective Scheme in the Navy Operational Global Atmospheric Prediction System , 2004 .

[18]  P. L. Houtekamer,et al.  Toward Random Sampling of Model Error in the Canadian Ensemble Prediction System , 2010 .

[19]  Craig H. Bishop,et al.  A Local Formulation of the Ensemble Transform (ET) Analysis Perturbation Scheme , 2010 .

[20]  Yuejian Zhu,et al.  Initial perturbations based on the ensemble transform (ET) technique in the NCEP global operational forecast system , 2008 .

[21]  Istvan Szunyogh,et al.  A local ensemble transform Kalman filter data assimilation system for the NCEP global model , 2008 .

[22]  Ann J. Schrader,et al.  The Automated Tropical Cyclone Forecasting System (Version 3.2) , 2000 .

[24]  Roger Davies,et al.  A fast radiation parameterization for atmospheric circulation models , 1987 .

[25]  Timothy F. Hogan,et al.  Boundary layer clouds in a Global Atmospheric model: Simple cloud cover parameterizations , 2002 .

[26]  T. Palmer,et al.  Stochastic representation of model uncertainties in the ECMWF ensemble prediction system , 2007 .

[27]  Eugenia Kalnay,et al.  Ensemble Forecasting at NMC: The Generation of Perturbations , 1993 .

[28]  Charles R. Sampson,et al.  Experiments with a Simple Tropical Cyclone Intensity Consensus , 2008 .

[29]  T. Palmer,et al.  The use of high resolution numerical simulations of tropical circulation to calibrate stochastic physics schemes , 2004 .

[30]  Roger Daley,et al.  NAVDAS: Formulation and Diagnostics , 2001 .

[31]  Munehiko Yamaguchi,et al.  Typhoon Ensemble Prediction System Developed at the Japan Meteorological Agency , 2008 .

[32]  Craig H. Bishop,et al.  Ensemble Transformation and Adaptive Observations , 1999 .

[33]  Craig H. Bishop,et al.  Evaluation of the Ensemble Transform Analysis Perturbation Scheme at NRL , 2008 .

[34]  G. Shutts A kinetic energy backscatter algorithm for use in ensemble prediction systems , 2005 .