The Effects of Sampling Errors on the EnKF Assimilation of Inner-Core Hurricane Observations
暂无分享,去创建一个
[1] Olivier Talagrand,et al. Assimilation of Observations, an Introduction (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice) , 1997 .
[2] Ryan D. Torn,et al. Boundary Conditions for Limited-Area Ensemble Kalman Filters , 2006 .
[3] Ryan D. Torn,et al. Performance Characteristics of a Pseudo-Operational Ensemble Kalman Filter , 2008 .
[4] G. Evensen. Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .
[5] Mingjing Tong,et al. Ensemble kalman filter assimilation of doppler radar data with a compressible nonhydrostatic model : OSS experiments , 2005 .
[6] David J. Stensrud,et al. Surface Data Assimilation Using an Ensemble Kalman Filter Approach with Initial Condition and Model Physics Uncertainties , 2005 .
[7] Jeffrey L. Anderson. Spatially and temporally varying adaptive covariance inflation for ensemble filters , 2009 .
[8] Y. Weng,et al. Performance of convection‐permitting hurricane initialization and prediction during 2008–2010 with ensemble data assimilation of inner‐core airborne Doppler radar observations , 2011 .
[9] Benjamin W. Green,et al. Impacts of Air–Sea Flux Parameterizations on the Intensity and Structure of Tropical Cyclones , 2013 .
[10] Juanzhen Sun,et al. Impacts of Initial Estimate and Observation Availability on Convective-Scale Data Assimilation with an Ensemble Kalman Filter , 2004 .
[11] John Derber,et al. The National Meteorological Center's spectral-statistical interpolation analysis system , 1992 .
[12] R. E. Kalman,et al. New Results in Linear Filtering and Prediction Theory , 1961 .
[13] J. Whitaker,et al. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter , 2001 .
[14] Jimy Dudhia,et al. Four-Dimensional Variational Data Assimilation for WRF : Formulation and Preliminary Results , 2009 .
[15] K. Vairavan,et al. Performance Characteristics of a , 1995 .
[16] W. M. Gray,et al. Typhoon Structure as Revealed by Aircraft Reconnaissance. Part II: Structural Variability , 1988 .
[17] W. M. Gray,et al. Typhoon Structure as Revealed by Aircraft Reconnaissance. Part I: Data Analysis and Climatology , 1988 .
[18] S. Aberson,et al. Thirty Years of Tropical Cyclone Research with the NOAA P-3 Aircraft , 2006 .
[19] G. Powers,et al. A Description of the Advanced Research WRF Version 3 , 2008 .
[20] Storm-Relative Observations in Tropical Cyclone Data Assimilation with an Ensemble Kalman Filter , 2013 .
[21] S. Aberson,et al. The HWRF Hurricane Ensemble Data Assimilation System (HEDAS) for High-Resolution Data: The Impact of Airborne Doppler Radar Observations in an OSSE , 2012 .
[22] C. Bishop,et al. Cloud-Resolving Hurricane Initialization and Prediction through Assimilation of Doppler Radar Observations with an Ensemble Kalman Filter , 2009 .
[23] Louis J. Wicker,et al. Wind and Temperature Retrievals in the 17 May 1981 Arcadia, Oklahoma, Supercell: Ensemble Kalman Filter Experiments , 2004 .
[24] D. Dee. On-line Estimation of Error Covariance Parameters for Atmospheric Data Assimilation , 1995 .
[25] F. Marks,et al. The Hurricane Forecast Improvement Project , 2013 .
[26] C. Snyder,et al. A Multicase Comparative Assessment of the Ensemble Kalman Filter for Assimilation of Radar Observations. Part I: Storm-Scale Analyses , 2009 .
[27] J. Whitaker,et al. Ensemble Data Assimilation without Perturbed Observations , 2002 .
[28] Jeffrey L. Anderson,et al. A Monte Carlo Implementation of the Nonlinear Filtering Problem to Produce Ensemble Assimilations and Forecasts , 1999 .
[29] R. Kalman,et al. New results in linear prediction and filtering theory Trans. AMSE , 1961 .
[30] T. Başar,et al. A New Approach to Linear Filtering and Prediction Problems , 2001 .
[31] J. Whitaker,et al. Evaluating Methods to Account for System Errors in Ensemble Data Assimilation , 2012 .
[32] Wei Huang,et al. A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results , 2004 .
[33] Fuqing Zhang,et al. Tests of an Ensemble Kalman Filter for Mesoscale and Regional-Scale Data Assimilation. Part I: Perfect Model Experiments , 2006 .
[34] 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 .
[35] Y. Weng,et al. Ensemble Kalman Filter Assimilation of Simulated HIWRAP Doppler Velocity Data in a Hurricane , 2013 .
[36] T. Miyoshi. The Gaussian Approach to Adaptive Covariance Inflation and Its Implementation with the Local Ensemble Transform Kalman Filter , 2011 .
[37] Chris Snyder,et al. Assimilating vortex position with an ensemble kalman filter , 2005 .
[38] C. Guard,et al. Tropical Cyclone Report , 1989 .
[39] P. Houtekamer,et al. An Adaptive Ensemble Kalman Filter , 2000 .
[40] Fuqing Zhang,et al. Tests of an Ensemble Kalman Filter for Mesoscale and Regional-Scale Data Assimilation. Part IV: Comparison with 3DVAR in a Month-Long Experiment , 2007 .
[41] Fuqing Zhang,et al. Assimilating Airborne Doppler Radar Observations with an Ensemble Kalman Filter for Convection-Permitting Hurricane Initialization and Prediction: Katrina (2005) , 2012 .
[42] Fuqing Zhang,et al. Dynamics and Structure of Forecast Error Covariance in the Core of a Developing Hurricane , 2011 .
[43] Wen-Chau Lee,et al. Hurricane Intensity and Eyewall Replacement , 2007, Science.
[44] C. Snyder,et al. Assimilation of Simulated Doppler Radar Observations with an Ensemble Kalman Filter , 2003 .