The Development of a Hybrid EnKF-3DVAR Algorithm for Storm-Scale Data Assimilation
暂无分享,去创建一个
[1] Mingjing Tong,et al. Ensemble kalman filter assimilation of doppler radar data with a compressible nonhydrostatic model : OSS experiments , 2005 .
[2] P. Houtekamer,et al. Ensemble size, balance, and model-error representation in an ensemble Kalman filter , 2002 .
[3] M. Zupanski. Maximum Likelihood Ensemble Filter: Theoretical Aspects , 2005 .
[4] H. D. Orville,et al. Radar Reflectivity Factor Calculations in Numerical Cloud Models Using Bulk Parameterization of Precipitation , 1975 .
[5] Jordan G. Powers,et al. A Description of the Advanced Research WRF Version 2 , 2005 .
[6] R. Purser,et al. Three-Dimensional Variational Analysis with Spatially Inhomogeneous Covariances , 2002 .
[7] M. Buehner. Ensemble‐derived stationary and flow‐dependent background‐error covariances: Evaluation in a quasi‐operational NWP setting , 2005 .
[8] Stephen J. Lord,et al. The New Global Operational Analysis System at the National Meteorological Center , 1991 .
[9] John Derber,et al. A Global Oceanic Data Assimilation System , 1989 .
[10] John Derber,et al. The National Meteorological Center's spectral-statistical interpolation analysis system , 1992 .
[11] 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 .
[12] Yunfeng Wang,et al. An ensemble-based three-dimensional variational data assimilation scheme , 2011, 2011 International Conference on Multimedia Technology.
[13] Andrew C. Lorenc,et al. The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var , 2003 .
[14] K. Droegemeier,et al. Multiresolution Ensemble Forecasts of an Observed Tornadic Thunderstorm System. Part I: Comparsion of Coarse- and Fine-Grid Experiments , 2006 .
[15] C. Snyder,et al. Assimilation of Simulated Doppler Radar Observations with an Ensemble Kalman Filter , 2003 .
[16] Jidong Gao,et al. A Variational Method for the Analysis of Three-Dimensional Wind Fields from Two Doppler Radars , 1999 .
[17] Q. Xiao,et al. An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part II: Observing System Simulation Experiments with Advanced Research WRF (ARW) , 2009 .
[18] P. Courtier,et al. The ECMWF implementation of three‐dimensional variational assimilation (3D‐Var). II: Structure functions , 1998 .
[19] Jidong Gao,et al. Impact of CASA Radar and Oklahoma Mesonet Data Assimilation on the Analysis and Prediction of Tornadic Mesovortices in an MCS , 2011 .
[20] P. Courtier,et al. The ECMWF implementation of three‐dimensional variational assimilation (3D‐Var). I: Formulation , 1998 .
[21] M. Xue,et al. 3DVAR and Cloud Analysis with WSR-88D Level-II Data for the Prediction of the Fort Worth, Texas, Tornadic Thunderstorms. Part I: Cloud Analysis and Its Impact , 2006 .
[22] M. Buehner,et al. Intercomparison of Variational Data Assimilation and the Ensemble Kalman Filter for Global Deterministic NWP. Part II: One-Month Experiments with Real Observations , 2010 .
[23] M. Xue,et al. Analysis of a Tornadic Mesoscale Convective Vortex Based on Ensemble Kalman Filter Assimilation of CASA X-Band and WSR-88D Radar Data , 2011 .
[24] Peter S. Ray,et al. Initialization of a modeled convective storm using Doppler radar-derived fields , 1992 .
[25] Xuguang Wang,et al. Assimilation of Radar Radial Velocity Data with the WRF Hybrid Ensemble–3DVAR System for the Prediction of Hurricane Ike (2008) , 2012 .
[26] P. Houtekamer,et al. Data Assimilation Using an Ensemble Kalman Filter Technique , 1998 .
[27] Jonathan Poterjoy,et al. E3DVar: Coupling an Ensemble Kalman Filter with Three-Dimensional Variational Data Assimilation in a Limited-Area Weather Prediction Model and Comparison to E4DVar , 2013 .
[28] A. Dai,et al. Effects of precipitation‐bias corrections on surface hydrology over northern latitudes , 2007 .
[29] Louis J. Wicker,et al. Wind and Temperature Retrievals in the 17 May 1981 Arcadia, Oklahoma, Supercell: Ensemble Kalman Filter Experiments , 2004 .
[30] T. Hamill,et al. On the Theoretical Equivalence of Differently Proposed Ensemble 3DVAR Hybrid Analysis Schemes , 2007 .
[31] Keith Brewster. Phase-Correcting Data Assimilation and Application to Storm-Scale Numerical Weather Prediction. Part II: Application to a Severe Storm Outbreak , 2003 .
[32] Ying-Hwa Kuo,et al. Assimilation of Doppler Radar Observations with a Regional 3DVAR System: Impact of Doppler Velocities on Forecasts of a Heavy Rainfall Case , 2005 .
[33] Juanzhen Sun,et al. Dynamical and Microphysical Retrieval from Doppler Radar Observations Using a Cloud Model and Its Adjoint. Part II: Retrieval Experiments of an Observed Florida Convective Storm , 1998 .
[34] Q. Xiao,et al. An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part I: Technical Formulation and Preliminary Test , 2008 .
[35] Philippe Courtier,et al. The ECMWF implementation of three-dimensional variational assimilation ( 3 D-Var ) . 111 : Experimental results , 2006 .
[36] Juanzhen Sun,et al. Initialization and Numerical Forecasting of a Supercell Storm Observed during STEPS , 2005 .
[37] Chris Snyder,et al. A Hybrid ETKF-3DVAR Data Assimilation Scheme for the WRF Model. Part I: Observing System Simulation Experiment , 2008 .
[38] Neill E. Bowler,et al. Tests of different flavours of EnKF on a simple model , 2013 .
[39] Juanzhen Sun,et al. Dynamical and Microphysical Retrieval from Doppler Radar Observations Using a Cloud Model and Its Adjoint. Part I: Model Development and Simulated Data Experiments. , 1997 .
[40] M. Buehner,et al. Intercomparison of Variational Data Assimilation and the Ensemble Kalman Filter for Global Deterministic NWP. Part I: Description and Single-Observation Experiments , 2010 .
[41] P. Houtekamer,et al. A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation , 2001 .
[42] Fuqing Zhang,et al. E4DVar: Coupling an Ensemble Kalman Filter with Four-Dimensional Variational Data Assimilation in a Limited-Area Weather Prediction Model , 2012 .
[43] Ming Hu,et al. Impact of Configurations of Rapid Intermittent Assimilation of Wsr-88d Radar Data for the 8 May 2003 Oklahoma City Tornadic Thunderstorm Case , 2022 .
[44] Ming Xue,et al. Ensemble Probabilistic Forecasts of a Tornadic Mesoscale Convective System from Ensemble Kalman Filter Analyses using WSR-88D and CASA Radar Data , 2012 .
[45] M. Xue. 3B.1 CAPS REALTIME STORM-SCALE ENSEMBLE AND HIGH-RESOLUTION FORECASTS AS PART OF THE NOAA HAZARDOUS WEATHER TESTBED 2007 SPRING EXPERIMENT , 2007 .
[46] C. Snyder,et al. A Multicase Comparative Assessment of the Ensemble Kalman Filter for Assimilation of Radar Observations. Part I: Storm-Scale Analyses , 2009 .
[47] Chris Snyder,et al. A Hybrid ETKF–3DVAR Data Assimilation Scheme for the WRF Model. Part II: Real Observation Experiments , 2008 .
[48] K. Brewster,et al. Phase-Correcting Data Assimilation and Application to Storm-Scale Numerical Weather Prediction. Part I: Method Description and Simulation Testing , 2003 .
[49] Jidong Gao,et al. A Three-Dimensional Variational Data Analysis Method with Recursive Filter for Doppler Radars , 2004 .
[50] G. Evensen. Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .
[51] A. O'Neill. Atmospheric Data Assimilation , 2000 .
[52] N. Roberts,et al. Numerical Aspects of the Application of Recursive Filters to Variational Statistical Analysis. Part II: Spatially Inhomogeneous and Anisotropic General Covariances , 2003 .
[53] Juanzhen Sun,et al. Impacts of Initial Estimate and Observation Availability on Convective-Scale Data Assimilation with an Ensemble Kalman Filter , 2004 .
[54] Juanzhen Sun,et al. Real-Time Low-Level Wind and Temperature Analysis Using Single WSR-88D Data , 2001 .
[55] Yong-Run Guo,et al. The Weather Research and Forecasting Model's Community Variational/Ensemble Data Assimilation System: WRFDA , 2012 .
[56] Alexander D. Schenkman,et al. The Analysis and Prediction of the 8–9 May 2007 Oklahoma Tornadic Mesoscale Convective System by Assimilating WSR-88D and CASA Radar Data Using 3DVAR , 2011 .
[57] Jidong Gao,et al. An Efficient Dual-resolution Approach for Ensemble Data Assimilation and Tests with Simulated Doppler Radar Data , 2022 .
[58] Todd D. Ringler,et al. Initiation of ensemble data assimilation , 2006 .
[59] T. Hamill,et al. A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme , 2000 .
[60] 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 .
[61] Stephen G. Penny,et al. The Hybrid Local Ensemble Transform Kalman Filter , 2014 .
[62] Louis J. Wicker,et al. Ensemble Kalman Filter Assimilation of Radar Observations of the 8 May 2003 Oklahoma City Supercell: Influences of Reflectivity Observations on Storm-Scale Analyses , 2011 .
[63] Craig H. Bishop,et al. Adaptive sampling with the ensemble transform Kalman filter , 2001 .
[64] David J. Stensrud,et al. Impact of Phased-Array Radar Observations over a Short Assimilation Period: Observing System Simulation Experiments Using an Ensemble Kalman Filter , 2010 .
[65] F. Kong. A real-time storm-scale ensemble forecast system: 2009 Spring Experiment , 2009 .
[66] Ming Hu,et al. 3DVAR and Cloud Analysis with WSR-88D Level-II Data for the Prediction of the Fort Worth, Texas, Tornadic Thunderstorms. Part II: Impact of Radial Velocity Analysis via 3DVAR , 2006 .
[67] B. Ferrier,et al. A Double-Moment Multiple-Phase Four-Class Bulk Ice Scheme. Part I: Description , 1994 .
[68] Jidong Gao,et al. Three-Dimensional Simple Adjoint Velocity Retrievals from Single-Doppler Radar , 2001 .
[69] David J. Stensrud,et al. Importance of Horizontally Inhomogeneous Environmental Initial Conditions to Ensemble Storm-Scale Radar Data Assimilation and Very Short-Range Forecasts , 2010 .
[70] Robert B. Wilhelmson,et al. The Morphology of Several Tornadic Storms on 20 May 1977 , 1981 .
[71] J. Whitaker,et al. Ensemble Data Assimilation without Perturbed Observations , 2002 .
[72] Florence Rabier,et al. Overview of global data assimilation developments in numerical weather‐prediction centres , 2005 .
[73] 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 .
[74] M. Xue,et al. Diagnostic Pressure Equation as a Weak Constraint in a Storm-Scale Three-Dimensional Variational Radar Data Assimilation System , 2012 .
[75] G. Evensen,et al. Analysis Scheme in the Ensemble Kalman Filter , 1998 .
[76] Wei Huang,et al. A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results , 2004 .