An OSSE Framework Based on the Ensemble Square Root Kalman Filter for Evaluating the Impact of Data from Radar Networks on Thunderstorm Analysis and Forecasting
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[1] R. E. Smith,et al. Observation of Severe Weather Activities by Doppler Sounder Array , 1975 .
[2] Mingjing Tong,et al. Ensemble kalman filter assimilation of doppler radar data with a compressible nonhydrostatic model : OSS experiments , 2005 .
[3] P. Courtier,et al. Variational Assimilation of Meteorological Observations With the Adjoint Vorticity Equation. Ii: Numerical Results , 2007 .
[4] K. Droegemeier,et al. The Advanced Regional Prediction System (ARPS) – A multi-scale nonhydrostatic atmospheric simulation and prediction model. Part I: Model dynamics and verification , 2000 .
[5] D. Zrnic,et al. Doppler Radar and Weather Observations , 1984 .
[6] G. Evensen. Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .
[7] J. Whitaker,et al. Ensemble Square Root Filters , 2003, Statistical Methods for Climate Scientists.
[8] A. Bennett. Inverse Methods in Physical Oceanography , 1992 .
[9] Robert A. Kropfli,et al. Buoyancy and Pressure Perturbations Derived from Dual-Doppler Radar Observations of the Planetary Boundary Layer: Applications for Matching Models with Observations , 1984 .
[10] Juanzhen Sun,et al. Real-Time Low-Level Wind and Temperature Analysis Using Single WSR-88D Data , 2001 .
[11] Jidong Gao,et al. The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation , 2003 .
[12] A. Shapiro,et al. Single-Doppler Velocity Retrievals with Phoenix II Data: Clear Air and Microburst Wind Retrievals in the Planetary Boundary Layer , 1995 .
[13] Louis J. Wicker,et al. Wind and Temperature Retrievals in the 17 May 1981 Arcadia, Oklahoma, Supercell: Ensemble Kalman Filter Experiments , 2004 .
[14] S. Cohn,et al. Ooce Note Series on Global Modeling and Data Assimilation Construction of Correlation Functions in Two and Three Dimensions and Convolution Covariance Functions , 2022 .
[15] Juanzhen Sun,et al. Impacts of Initial Estimate and Observation Availability on Convective-Scale Data Assimilation with an Ensemble Kalman Filter , 2004 .
[16] G. Evensen,et al. Analysis Scheme in the Ensemble Kalman Filter , 1998 .
[17] H. D. Orville,et al. Radar Reflectivity Factor Calculations in Numerical Cloud Models Using Bulk Parameterization of Precipitation , 1975 .
[18] M. Xue,et al. The Advanced Regional Prediction System (ARPS) – A multi-scale nonhydrostatic atmospheric simulation and prediction tool. Part II: Model physics and applications , 2001 .
[19] T. Gal-Chen,et al. A Method for the Initialization of the Anelastic Equations: Implications for Matching Models with Observations , 1978 .
[20] S. Grossmann. The Spectrum of Turbulence , 2003 .
[21] C. Snyder,et al. Assimilation of Simulated Doppler Radar Observations with an Ensemble Kalman Filter , 2003 .
[22] P. Houtekamer,et al. Data Assimilation Using an Ensemble Kalman Filter Technique , 1998 .
[23] T. Gal-Chen,et al. Errors in fixed and moving frame of references - Applications for conventional and Doppler radar analysis , 1982 .
[24] C. Qiu,et al. A Simple Adjoint Method of Wind Analysis for Single-Doppler Data , 1992 .
[25] F. L. Dimet,et al. Variational algorithms for analysis and assimilation of meteorological observations: theoretical aspects , 1986 .
[26] Juanzhen Sun,et al. Comparison of Thermodynamic Retrieval by the Adjoint Method with the Traditional Retrieval Method , 1996 .
[27] Robert B. Wilhelmson,et al. The Morphology of Several Tornadic Storms on 20 May 1977 , 1981 .
[28] Yu-Chieng Liou,et al. An investigation of the moving-frame single-Doppler wind retrieval technique using Taiwan Area Mesoscale Experiment low-level data , 2001 .
[29] Vincent T. Wood,et al. Effects of Radar Sampling on Single-Doppler Velocity Signatures of Mesocyclones and Tornadoes , 1997 .
[30] P. Comba,et al. Part I. Theory , 2007 .
[31] Chris Snyder,et al. A Comparison between the 4DVAR and the Ensemble Kalman Filter Techniques for Radar Data Assimilation , 2005 .
[32] Jidong Gao,et al. Single-Doppler Velocity Retrieval with Rapid-Scan Radar Data , 2003 .
[33] Jian Zhang,et al. Single-Doppler Wind Retrieval in the Moving Frame of Reference , 1996 .
[34] Geir Evensen,et al. The Ensemble Kalman Filter: theoretical formulation and practical implementation , 2003 .
[35] J. Whitaker,et al. Ensemble Data Assimilation without Perturbed Observations , 2002 .
[36] Craig H. Bishop,et al. Adaptive sampling with the ensemble transform Kalman filter , 2001 .
[37] P. Houtekamer,et al. A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation , 2001 .
[38] H. D. Orville,et al. Bulk Parameterization of the Snow Field in a Cloud Model , 1983 .
[39] P. Courtier,et al. Variational Assimilation of Meteorological Observations With the Adjoint Vorticity Equation. I: Theory , 2007 .
[40] Jeffrey L. Anderson. An Ensemble Adjustment Kalman Filter for Data Assimilation , 2001 .