Verification of Eta–RSM Short-Range Ensemble Forecasts

Abstract Motivated by the success of ensemble forecasting at the medium range, the performance of a prototype short-range ensemble forecast system is examined. The ensemble dataset consists of 15 case days from September 1995 through January 1996. There are 15 members of the ensemble, 10 from an 80-km version of the eta model and five from the regional spectral model. Initial conditions include various in-house analyses available at the National Centers for Environmental Prediction as well as bred initial conditions interpolated from the medium-range forecast ensemble. Forecasts from the 29-km mesoeta model were archived as well for comparison. The performance of the ensemble is first evaluated by the criterion of “uniformity of verification rank.” Assuming a perfect forecast model, equally plausible initial conditions, and the verification is a plausible member of the ensemble, these imply the verification when pooled with the 15 ensemble forecasts and sorted is equally likely to occur in each of the 16 ...

[1]  Stephen J. Lord,et al.  The New Global Operational Analysis System at the National Meteorological Center , 1991 .

[2]  M. S. J. Harrison Ensembles, higher-resolution models and future computing power — a personal view , 1994 .

[3]  D. Wilks Maximum Likelihood Estimation for the Gamma Distribution Using Data Containing Zeros , 1990 .

[4]  E. Lorenz,et al.  The predictability of a flow which possesses many scales of motion , 1969 .

[5]  E. Epstein,et al.  Stochastic dynamic prediction , 1969 .

[6]  E. Lorenz The predictability of a flow which possesses many scales of motion , 1969 .

[7]  Charles A. Doswell,et al.  On the Use of Mesoscale and Cloud-Scale Models in Operational Forecasting , 1992 .

[8]  F. Molteni,et al.  The ECMWF Ensemble Prediction System: Methodology and validation , 1996 .

[9]  Rex J. Fleming,et al.  ON STOCHASTIC DYNAMIC PREDICTION , 1971 .

[10]  D. Stensrud,et al.  Mesoscale Convective Systems in Weakly Forced Large-Scale Environments. Part III: Numerical Simulations and Implications for Operational Forecasting , 1994 .

[11]  Boris Katz,et al.  Recent Changes Implemented into the Global Forecast System at NMC , 1991 .

[12]  William H. Press,et al.  Numerical Recipes: FORTRAN , 1988 .

[13]  E. Lorenz Deterministic nonperiodic flow , 1963 .

[14]  H. J. Thiébaux,et al.  Global Forecast Error Correlation. Part 1: Isobaric Wind and Geopotential , 1990 .

[15]  K. Mitchell,et al.  Changes to NMC's Regional Analysis and Forecast System , 1991 .

[16]  William H. Press,et al.  Numerical recipes in FORTRAN (2nd ed.): the art of scientific computing , 1992 .

[17]  Daniel S. Wilks,et al.  Statistical Methods in the Atmospheric Sciences: An Introduction , 1995 .

[18]  H. Mitchell,et al.  Revised Interpolation Statistics for the Canadian Data Assimilation Procedure: Their Derivation and Application , 1990 .

[19]  R. Daley Atmospheric Data Analysis , 1991 .

[20]  M. Steven Tracton,et al.  Predictability and Its Relationship to Scale Interaction Processes in Blocking , 1990 .

[21]  D. Deaven,et al.  The Regional Analysis System for the Operational “Early” Eta Model: Original 80-km Configuration and Recent Changes , 1995 .

[22]  Brian F. Farrell,et al.  A Simple Approximate Result for the Maximum Growth Rate of Baroclinic Instabilities , 1980 .

[23]  M. Kanamitsu,et al.  The NMC Nested Regional Spectral Model , 1994 .

[24]  T. Black The new NMC mesoscale Eta Model: description and forecast examples , 1994 .

[25]  Ying-Hwa Kuo,et al.  Numerical Simulation of an Explosively Deepening Cyclone in the Eastern Pacific , 1988 .

[26]  R. Tibshirani,et al.  Generalized Additive Models , 1991 .

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

[28]  Charles A. Doswell,et al.  New technology and numerical weather prediction — a wasted opportunity? , 1993 .

[29]  D. Deaven,et al.  Changes to the Operational ''Early'' Eta Analysis / Forecast System at the National Centers for Environmental Prediction , 1996 .

[30]  T. Petroliagis,et al.  Error growth and estimates of predictability from the ECMWF forecasting system , 1995 .

[31]  David P. Baumhefner,et al.  Monte Carlo Simulations of Explosive Cyclogenesis , 1994 .

[32]  John Derber,et al.  The National Meteorological Center's spectral-statistical interpolation analysis system , 1992 .

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

[34]  H. Mitchell,et al.  A continuous three‐dimensional model of short‐range forecast error covariances , 1992 .

[35]  Peter J. Webster,et al.  Random error growth in NMC's global forecasts , 1994 .

[36]  G. Brier VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY , 1950 .

[37]  Eugenia Kalnay,et al.  Operational Ensemble Prediction at the National Meteorological Center: Practical Aspects , 1993 .

[38]  C. Leith Theoretical Skill of Monte Carlo Forecasts , 1974 .

[39]  Anthony Hollingsworth,et al.  The statistical structure of short-range forecast errors as determined from radiosonde data , 1986 .

[40]  Joseph T. Schaefer,et al.  On Medium-Range Model Guidance and the 3–5 Day Extended Forecast , 1990 .