Dynamics and Structure of Mesoscale Error Covariance of a Winter Cyclone Estimated through Short-Range Ensemble Forecasts
暂无分享,去创建一个
[1] Brian F. Farrell,et al. Small Error Dynamics and the Predictability of Atmospheric Flows. , 1990 .
[2] T. Hamill,et al. Leading Lyapunov Vectors of a Turbulent Baroclinic Jet in a Quasigeostrophic Model , 2003 .
[3] T. Hamill,et al. A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme , 2000 .
[4] Christopher K. Wikle,et al. Atmospheric Modeling, Data Assimilation, and Predictability , 2005, Technometrics.
[5] M. Rienecker,et al. Initial testing of a massively parallel ensemble Kalman filter with the Poseidon isopycnal ocean general circulation model , 2002 .
[6] P. Houtekamer,et al. Data Assimilation Using an Ensemble Kalman Filter Technique , 1998 .
[7] Shaoqing Zhang,et al. Impact of spatially and temporally varying estimates of error covariance on assimilation in a simple atmospheric model , 2003 .
[8] T. Hamill,et al. Using Improved Background-Error Covariances from an Ensemble Kalman Filter for Adaptive Observations , 2002 .
[9] S. Cohn,et al. An Introduction to Estimation Theory , 1997 .
[10] Jun Du,et al. Short-Range Ensemble Forecasting of Quantitative Precipitation , 1997 .
[11] J. Holton. An introduction to dynamic meteorology , 2004 .
[12] J. Barkmeijer,et al. Singular vectors and estimates of the analysis‐error covariance metric , 1998 .
[13] Eugenia Kalnay,et al. Operational Ensemble Prediction at the National Meteorological Center: Practical Aspects , 1993 .
[14] Thomas M. Hamill,et al. Predictability of Weather and Climate: Ensemble-based atmospheric data assimilation , 2006 .
[15] Harold E. Brooks,et al. Using Ensembles for Short-Range Forecasting , 1999 .
[16] Roberto Buizza,et al. Sensitivity of optimal unstable structures , 1994 .
[17] R. Rotunno,et al. Effects of Moist Convection on Mesoscale Predictability , 2003 .
[18] Dusanka Zupanski,et al. Four-Dimensional Variational Data Assimilation for the Blizzard of 2000 , 2002 .
[19] Nelson L. Seaman,et al. A Simple Scheme for Objective Analysis in Curved Flow , 1985 .
[20] Chris Snyder,et al. Linear Evolution of Error Covariances in a Quasigeostrophic Model , 2003 .
[21] D. Stensrud,et al. Evaluation of a Short-Range Multimodel Ensemble System , 2001 .
[22] G. Evensen. Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .
[23] Stephen E. Cohn,et al. The Behavior of Forecast Error Covariances for a Kalman Filter in Two Dimensions , 1991 .
[24] Juanzhen Sun,et al. Impacts of Initial Estimate and Observation Availability on Convective-Scale Data Assimilation with an Ensemble Kalman Filter , 2004 .
[25] Chris Snyder,et al. Mesoscale Predictability of the “Surprise” Snowstorm of 24–25 January 2000 , 2002 .
[26] Wei Huang,et al. A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results , 2004 .
[27] Ronald Gelaro,et al. Initial Condition Sensitivity and Error Growth in Forecasts of the 25 January 2000 East Coast Snowstorm , 2002 .
[28] Prediction of the U.S. Storm of 24 26 January 2000 with the ECMWF Ensemble Prediction System , 2002 .
[29] Xiaolei Zou,et al. Incorporating TOMS Ozone Measurements into the Prediction of the Washington, D.C., Winter Storm during 24–25 January 2000 , 2003 .
[30] C. Snyder,et al. Assimilation of Simulated Doppler Radar Observations with an Ensemble Kalman Filter , 2003 .
[31] Olivier Talagrand,et al. Assimilation of Observations, an Introduction (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice) , 1997 .
[32] P. Houtekamer,et al. Ensemble size, balance, and model-error representation in an ensemble Kalman filter , 2002 .
[33] J. Dudhia. A Nonhydrostatic Version of the Penn State–NCAR Mesoscale Model: Validation Tests and Simulation of an Atlantic Cyclone and Cold Front , 1993 .
[34] E. Lorenz,et al. The predictability of a flow which possesses many scales of motion , 1969 .
[35] Louis J. Wicker,et al. Wind and Temperature Retrievals in the 17 May 1981 Arcadia, Oklahoma, Supercell: Ensemble Kalman Filter Experiments , 2004 .
[36] G. Branstator. Organization of Storm Track Anomalies by Recurring Low-Frequency Circulation Anomalies , 1995 .
[37] Stephen E. Cohn,et al. An Introduction to Estimation Theory (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice) , 1997 .
[38] Jun Du,et al. The Dependence of Ensemble Dispersion on Analysis–Forecast Systems: Implications to Short-Range Ensemble Forecasting of Precipitation , 1999 .
[39] Christian L. Keppenne,et al. Data Assimilation into a Primitive-Equation Model with a Parallel Ensemble Kalman Filter , 2000 .
[40] Eugenia Kalnay,et al. Ensemble Forecasting at NMC: The Generation of Perturbations , 1993 .
[41] E. Kalnay,et al. Ensemble Forecasting at NCEP and the Breeding Method , 1997 .
[42] Ronald M. Errico,et al. The Influence of Artificial and Physical Factors upon Predictability Estimates Using a Complex Limited-Area Model , 1990 .
[43] Xue Wei,et al. Reanalysis without Radiosondes Using Ensemble Data Assimilation , 2004 .
[44] Yong-Run Guo,et al. A Three-demiensional Variational (3DVAR) Data Assimilation System for Use With MM5 , 2003 .
[45] F. Molteni,et al. The ECMWF Ensemble Prediction System: Methodology and validation , 1996 .
[46] Craig H. Bishop,et al. Adaptive sampling with the ensemble transform Kalman filter , 2001 .
[47] Joseph Tribbia,et al. Scale Interactions and Atmospheric Predictability: An Updated Perspective , 2004 .
[48] M. Buehner,et al. Atmospheric Data Assimilation with an Ensemble Kalman Filter: Results with Real Observations , 2005 .
[49] R. Daley. Forecast-error statistics for homogeneous and inhomogeneous observation networks , 1992 .
[50] D. Baumhefner,et al. Predictability Experiments Using a High-Resolution Limited-Area Model , 1987 .