Mesoscale predictability of an extreme warm-season precipitation event

Abstract A mesoscale model is used to investigate the mesoscale predictability of an extreme precipitation event over central Texas on 29 June 2002 that lasted through 7 July 2002. Both the intrinsic and practical aspects of warm-season predictability, especially quantitative precipitation forecasts up to 36 h, were explored through experiments with various grid resolutions, initial and boundary conditions, physics parameterization schemes, and the addition of small-scale, small-amplitude random initial errors. It is found that the high-resolution convective-resolving simulations (with grid spacing down to 3.3 km) do not produce the best simulation or forecast. It was also found that both the realistic initial condition uncertainty and model errors can result in large forecast errors for this warm-season flooding event. Thus, practically, there is room to gain higher forecast accuracy through improving the initial analysis with better data assimilation techniques or enhanced observations, and through impr...

[1]  Norman W. Junker,et al.  Evaluation of 33 Years of Quantitative Precipitation Forecasting at the NMC , 1995 .

[2]  Moti Segal,et al.  Impact of Improved Initialization of Mesoscale Features on Convective System Rainfall in 10-km Eta Simulations , 2001 .

[3]  E. Lorenz.  Predictability of Weather and Climate: Predictability – a problem partly solved , 2006 .

[4]  J. Kain,et al.  A One-Dimensional Entraining/Detraining Plume Model and Its Application in Convective Parameterization , 1990 .

[5]  Clifford F. Mass,et al.  Aspects of Effective Mesoscale, Short-Range Ensemble Forecasting , 2005 .

[6]  Fuqing Zhang,et al.  Dynamics and Structure of Mesoscale Error Covariance of a Winter Cyclone Estimated through Short-Range Ensemble Forecasts , 2005 .

[7]  Thomas T. Warner,et al.  Nested-Model Simulation of Moist Convection: The Impact of Coarse-Grid Parameterized Convection on Fine-Grid Resolved Convection , 2000 .

[8]  René Laprise,et al.  Predictability of a Nested Limited-Area Model , 2000 .

[9]  J. Dudhia.  A Nonhydrostatic Version of the Penn State–NCAR Mesoscale Model: Validation Tests and Simulation of an Atlantic Cyclone and Cold Front , 1993 .

[10]  P. D. Thompson,et al.  Uncertainty of Initial State as a Factor in the Predictability of Large Scale Atmospheric Flow Patterns , 1957 .

[11]  James A. Hansen.  Accounting for Model Error in Ensemble-Based State Estimation and Forecasting , 2002 .

[12]  Dusanka Zupanski,et al.  Four-Dimensional Variational Data Assimilation for the Blizzard of 2000 , 2002 .

[13]  G. Grell.  Prognostic evaluation of assumptions used by cumulus parameterizations , 1993 .

[14]  E. Grimit,et al.  Initial Results of a Mesoscale Short-Range Ensemble Forecasting System over the Pacific Northwest , 2002 .

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

[16]  Frederick Anthony Eckel,et al.  Effective mesoscale, short-range ensemble forecasting , 2003 .

[17]  G. Mellor,et al.  Development of a turbulence closure model for geophysical fluid problems , 1982 .

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

[19]  Chris Snyder,et al.  Mesoscale Predictability of the “Surprise” Snowstorm of 24–25 January 2000 , 2002 .

[20]  John D. Tuttle,et al.  Inferences of Predictability Associated with Warm Season Precipitation Episodes , 2001 .

[21]  C. Snyder,et al.  Assimilation of Simulated Doppler Radar Observations with an Ensemble Kalman Filter , 2003 .

[22]  Joanne Simpson,et al.  Goddard Cumulus Ensemble Model. Part I: Model Description , 1993 .

[23]  Harold E. Brooks,et al.  Using Ensembles for Short-Range Forecasting , 1999 .

[24]  R. Rotunno,et al.  Effects of Moist Convection on Mesoscale Predictability , 2003 .

[25]  Kerry A. Emanuel,et al.  Predictability of Mesoscale Rainfall in the Tropics , 1993 .

[26]  R. Rasmussen,et al.  Explicit forecasting of supercooled liquid water in winter storms using the MM5 mesoscale model , 1998 .

[27]  J. Done,et al.  The next generation of NWP: explicit forecasts of convection using the weather research and forecasting (WRF) model , 2004 .

[28]  Paul J. Roebber,et al.  Short-Range (0–48 h) Numerical Prediction of Convective Occurrence, Mode, and Location , 2003 .

[29]  H. Pan,et al.  Nonlocal Boundary Layer Vertical Diffusion in a Medium-Range Forecast Model , 1996 .

[30]  Jimy Dudhia,et al.  Development of a next-generation regional weather research and forecast model. , 2001 .

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

[32]  Fuqing Zhang,et al.  Extreme Rainfall in Texas: Patterns and Predictability , 2005 .

[33]  R. Treadon,et al.  A Tutorial on Lateral Boundary Conditions as a Basic and Potentially Serious Limitation to Regional Numerical Weather Prediction , 1997 .

[34]  R. Rotunno,et al.  Mesoscale Predictability of Moist Baroclinic Waves: Experiments with Parameterized Convection , 2004 .

[35]  William A. Gallus,et al.  Impact of Verification Grid-Box Size on Warm-Season QPF Skill Measures , 2002 .

[36]  N. Seaman,et al.  A Comparison Study of Convective Parameterization Schemes in a Mesoscale Model , 1997 .