Simultaneous Estimation of Microphysical Parameters and Atmospheric State with Simulated Radar Data and Ensemble Square Root Kalman Filter. Part I: Sensitivity Analysis and Parameter Identifiability
暂无分享,去创建一个
[1] Peter V. Hobbs,et al. The Mesoscale and Microscale Structure and Organization of Clouds and Precipitation in Midlatitude Cyclones. XII: A Diagnostic Modeling Study of Precipitation Development in Narrow Cold-Frontal Rainbands , 1984 .
[2] G. Evensen. Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .
[3] V. Chandrasekar,et al. Multiparameter radar and in situ aircraft observation of graupel and hail , 2000, IEEE Trans. Geosci. Remote. Sens..
[4] Mingjing Tong,et al. 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 , 2006 .
[5] G. Chavent. Identification of Distributed Parameter Systems: About the Output Least Square Method, its Implementation, and Identifiability , 1979 .
[6] D. Mitchell. Evolution of Snow-Size Spectra in Cyclonic Storms. Part II: Deviations from the Exponential Form , 1991 .
[7] S. Nakagiri,et al. Identifiability of Spatially-Varying and Constant Parameters in Distributed Systems of Parabolic Type , 1977 .
[8] Conrad L. Ziegler,et al. Retrieval of Thermal and Microphysical Variables in Observed Convective Storms. , 1985 .
[9] B. Ferrier,et al. A Double-Moment Multiple-Phase Four-Class Bulk Ice Scheme. Part I: Description , 1994 .
[10] H. D. Orville,et al. Bulk Parameterization of the Snow Field in a Cloud Model , 1983 .
[11] Roscoe R. Braham. Snow Particle Size Spectra in Lake Effect Snows. , 1990 .
[12] D. Parsons,et al. Size Distributions of Precipitation Particles in Frontal Clouds. , 1979 .
[13] 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 .
[14] Jidong Gao,et al. The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation , 2003 .
[15] Fuqing Zhang,et al. Ensemble-based simultaneous state and parameter estimation in a two-dimensional sea-breeze model , 2006 .
[16] C. Snyder,et al. Assimilation of Simulated Doppler Radar Observations with an Ensemble Kalman Filter , 2003 .
[17] Mingjing Tong,et al. Simultaneous Estimation of Microphysical Parameters and Atmospheric State with Simulated Radar Data and Ensemble Square Root Kalman Filter. Part II: Parameter Estimation Experiments , 2008 .
[18] J. Marshall,et al. THE DISTRIBUTION WITH SIZE OF AGGREGATE SNOWFLAKES , 1958 .
[19] Kenneth S. Gage,et al. Drop-Size Distribution Characteristics in Tropical Mesoscale Convective Systems , 2000 .
[20] J. Whitaker,et al. Ensemble Data Assimilation without Perturbed Observations , 2002 .
[21] Ionel Michael Navon,et al. Practical and theoretical aspects of adjoint parameter estimation and identifiability in meteorology and oceanography , 1998 .
[22] J. Klett,et al. Microphysics of Clouds and Precipitation , 1978, Nature.
[23] S. Yakowitz,et al. Instability in aquifer identification: Theory and case studies , 1980 .
[24] Erik N. Rasmussen,et al. Precipitation Uncertainty Due to Variations in Precipitation Particle Parameters within a Simple Microphysics Scheme , 2004 .
[25] N. A. Crook. Sensitivity of Moist Convection Forced by Boundary Layer Processes to Low-Level Thermodynamic Fields , 1996 .
[26] W. Yeh. Review of Parameter Identification Procedures in Groundwater Hydrology: The Inverse Problem , 1986 .
[27] Evolution of Snow-Size Spectra in Cyclonic Storms. Part I: Snow Growth by Vapor Deposition and Aggregation , 1988 .
[28] K. K. Lo,et al. The Growth of Snow in Winter Storms:. An Airborne Observational Study , 1982 .
[29] Joanne Simpson,et al. A Double-Moment Multiple-Phase Four-Class Bulk Ice Scheme. Part II: Simulations of Convective Storms in Different Large-Scale Environments and Comparisons with other Bulk Parameterizations , 1995 .
[30] G. Evensen,et al. Assimilation of Geosat altimeter data for the Agulhas current using the ensemble Kalman filter with , 1996 .
[31] A. Waldvogel,et al. Raindrop Size Distribution and Sampling Size Errors , 1969 .
[32] William R. Cotton,et al. The Impact of Hail Size on Simulated Supercell Storms , 2004 .
[33] Mingjing Tong,et al. Ensemble kalman filter assimilation of doppler radar data with a compressible nonhydrostatic model : OSS experiments , 2005 .
[34] G. Chavent. Identification of functional parameters in partial differential equations , 1974 .
[35] J. Whitaker,et al. Ensemble Square Root Filters , 2003, Statistical Methods for Climate Scientists.
[36] Jeffrey L. Anderson. An Ensemble Adjustment Kalman Filter for Data Assimilation , 2001 .
[37] J. Gamache,et al. Diagnosis of Cloud Mass and Heat Fluxes from Radar and Synoptic Data , 1980 .
[38] E. Mansell,et al. A Bulk Microphysics Parameterization with Multiple Ice Precipitation Categories , 2005 .
[39] P. Houtekamer,et al. Data Assimilation Using an Ensemble Kalman Filter Technique , 1998 .
[40] Richard E. Passarelli,et al. Theoretical and Observational Study of Snow-Size Spectra and Snowflake Aggregation Efficiencies , 1978 .
[41] A. Waldvogel,et al. The N0 Jump of Raindrop Spectra , 1974 .
[42] Roy Rasmussen,et al. A Statistical and Physical Description of Hydrometeor Distributions in Colorado Snowstorms Using a Video Disdrometer , 2007 .
[43] William R. Cotton,et al. New RAMS cloud microphysics parameterization. Part II: The two-moment scheme , 1997 .
[44] P. Courtier,et al. Variational Assimilation of Meteorological Observations With the Adjoint Vorticity Equation. Ii: Numerical Results , 2007 .
[45] Geir Evensen,et al. The Ensemble Kalman Filter: theoretical formulation and practical implementation , 2003 .
[46] Craig H. Bishop,et al. Adaptive sampling with the ensemble transform Kalman filter , 2001 .
[47] Robert A. Black,et al. Observations of Particle Size and Phase in Tropical Cyclones: Implications for Mesoscale Modeling of Microphysical Processes , 2004 .
[48] D. Short,et al. Evidence from Tropical Raindrop Spectra of the Origin of Rain from Stratiform versus Convective Clouds , 1996 .
[49] Nolan J. Doesken,et al. Density of Freshly Fallen Snow in the Central Rocky Mountains , 2000 .
[50] Chris Snyder,et al. A Comparison between the 4DVAR and the Ensemble Kalman Filter Techniques for Radar Data Assimilation , 2005 .
[51] P. Courtier,et al. Variational Assimilation of Meteorological Observations With the Adjoint Vorticity Equation. I: Theory , 2007 .
[52] M. Murakami,et al. Numerical Modeling of Dynamical and Microphysical Evolution of an Isolated Convective Cloud , 1990 .
[53] William W.-G. Yeh,et al. Coupled inverse problems in groundwater modeling: 2. Identifiability and experimental design , 1990 .
[54] Louis J. Wicker,et al. Wind and Temperature Retrievals in the 17 May 1981 Arcadia, Oklahoma, Supercell: Ensemble Kalman Filter Experiments , 2004 .
[55] Mingjing Tong. Ensemble Kalman filter assimilation of Doppler radar data for the initialization and prediction of convective storms. , 2006 .
[56] Jean-Pierre Pinty,et al. A comprehensive two‐moment warm microphysical bulk scheme. I: Description and tests , 2000 .
[57] Juanzhen Sun,et al. Impacts of Initial Estimate and Observation Availability on Convective-Scale Data Assimilation with an Ensemble Kalman Filter , 2004 .
[58] Joanne Simpson,et al. Comparison of Ice-Phase Microphysical Parameterization Schemes Using Numerical Simulations of Tropical Convection , 1991 .
[59] H. D. Orville,et al. Radar Reflectivity Factor Calculations in Numerical Cloud Models Using Bulk Parameterization of Precipitation , 1975 .
[60] Stephen J. Lord. Observing System Simulation Experiments for NPOESS , 2001 .
[61] F. L. Dimet,et al. Variational algorithms for analysis and assimilation of meteorological observations: theoretical aspects , 1986 .
[62] S. Rutledge,et al. The Mesoscale and Microscale Structure and Organization of Clouds and Precipitation in Midlatitude Cyclones. VIII: A Model for the “Seeder-Feeder” Process in Warm-Frontal Rainbands , 1983 .
[63] 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 .
[64] G. Evensen,et al. Analysis Scheme in the Ensemble Kalman Filter , 1998 .
[65] M. Yau,et al. A Multimoment Bulk Microphysics Parameterization. Part II: A Proposed Three-Moment Closure and Scheme Description , 2005 .