Comparison of Hybrid Four-Dimensional Data Assimilation Methods with and without the Tangent Linear and Adjoint Models for Predicting the Life Cycle of Hurricane Karl (2010)
暂无分享,去创建一个
[1] M. Zupanski. Maximum Likelihood Ensemble Filter: Theoretical Aspects , 2005 .
[2] Fuqing Zhang,et al. Factors Affecting the Predictability of Hurricane Humberto (2007) , 2010 .
[3] Mark Buehner,et al. Implementation of Deterministic Weather Forecasting Systems Based on Ensemble–Variational Data Assimilation at Environment Canada. Part I: The Global System , 2015 .
[4] Jonathan Poterjoy,et al. Systematic Comparison of Four-Dimensional Data Assimilation Methods With and Without the Tangent Linear Model Using Hybrid Background Error Covariance: E4DVar versus 4DEnVar , 2015 .
[5] 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 .
[6] Fuqing Zhang,et al. A Probabilistic Analysis of the Dynamics and Predictability of Tropical Cyclogenesis , 2008 .
[7] E. Mlawer,et al. Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave , 1997 .
[8] Christopher A. Davis,et al. The Role of “Vortical” Hot Towers in the Formation of Tropical Cyclone Diana (1984) , 2004 .
[9] G. Evensen,et al. An ensemble Kalman smoother for nonlinear dynamics , 2000 .
[10] Craig H. Bishop,et al. Adaptive Ensemble Covariance Localization in Ensemble 4D-VAR State Estimation , 2011 .
[11] A. Simmons,et al. The ECMWF operational implementation of four‐dimensional variational assimilation. I: Experimental results with simplified physics , 2007 .
[12] Fuqing Zhang,et al. Predictability and Genesis of Hurricane Karl (2010) Examined through the EnKF Assimilation of Field Observations Collected during PREDICT , 2014 .
[13] Jonathan Poterjoy,et al. Intercomparison and Coupling of Ensemble and Four-Dimensional Variational Data Assimilation Methods for the Analysis and Forecasting of Hurricane Karl (2010) , 2014 .
[14] G. Evensen. Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .
[15] 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 .
[16] A. Lorenc,et al. Operational implementation of a hybrid ensemble/4D‐Var global data assimilation system at the Met Office , 2013 .
[17] Shannon T. Brown,et al. NASA's Genesis and Rapid Intensification Processes (GRIP) Field Experiment , 2012 .
[18] S. Barnes,et al. A Technique for Maximizing Details in Numerical Weather Map Analysis , 1964 .
[19] Juanzhen Sun,et al. Impacts of Initial Estimate and Observation Availability on Convective-Scale Data Assimilation with an Ensemble Kalman Filter , 2004 .
[20] Zhuo Wang,et al. A First Look at the Structure of the Wave Pouch during the 2009 PREDICT–GRIP Dry Runs over the Atlantic , 2012 .
[21] Q. Xiao,et al. An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part I: Technical Formulation and Preliminary Test , 2008 .
[22] J. Dudhia,et al. A Revised Approach to Ice Microphysical Processes for the Bulk Parameterization of Clouds and Precipitation , 2004 .
[23] 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 .
[24] Andrew C. Lorenc,et al. Modelling of error covariances by 4D‐Var data assimilation , 2003 .
[25] 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 .
[26] M. Montgomery,et al. A Theory for the Vertical Alignment of a Quasigeostrophic Vortex , 2002 .
[27] M. Buehner. Ensemble‐derived stationary and flow‐dependent background‐error covariances: Evaluation in a quasi‐operational NWP setting , 2005 .
[28] Fuqing Zhang,et al. Coupling ensemble Kalman filter with four-dimensional variational data assimilation , 2009 .
[29] John Derber,et al. The National Meteorological Center's spectral-statistical interpolation analysis system , 1992 .
[30] Xiang-Yu Huang,et al. Development of the Upgraded Tangent Linear and Adjoint of the Weather Research and Forecasting (WRF) Model , 2013 .
[31] Kayo Ide,et al. An OSSE-Based Evaluation of Hybrid Variational-Ensemble Data Assimilation for the NCEP GFS. Part II: 4DEnVar and Hybrid Variants , 2015 .
[32] Xuguang Wang,et al. GSI-Based Four-Dimensional Ensemble–Variational (4DEnsVar) Data Assimilation: Formulation and Single-Resolution Experiments with Real Data for NCEP Global Forecast System , 2014 .
[33] E. Kalnay,et al. Four-dimensional ensemble Kalman filtering , 2004 .
[34] Andrew C. Lorenc,et al. The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var , 2003 .
[35] P. Courtier,et al. A strategy for operational implementation of 4D‐Var, using an incremental approach , 1994 .
[36] Craig H. Bishop,et al. Comparison of Hybrid Ensemble/4DVar and 4DVar within the NAVDAS-AR Data Assimilation Framework , 2013 .
[37] Jonathan Poterjoy,et al. Development of an Efficient Regional Four-Dimensional Variational Data Assimilation System for WRF , 2014 .
[38] Song‐You Hong,et al. Improvement of the K-profile Model for the Planetary Boundary Layer based on Large Eddy Simulation Data , 2003 .
[39] David D. Parrish,et al. GSI 3DVar-Based Ensemble-Variational Hybrid Data Assimilation for NCEP Global Forecast System: Single-Resolution Experiments , 2013 .
[40] D. Nolan,et al. The effect of vertical shear orientation on tropical cyclogenesis , 2012 .
[41] D. Nolan. What is the trigger for tropical cyclogenesis , 2006 .
[42] Nils Gustafsson,et al. Four-dimensional ensemble variational (4D-En-Var) data assimilation for the HIgh Resolution Limited Area Model (HIRLAM) , 2014 .
[43] R. Torn,et al. The Role of Vortex and Environment Errors in Genesis Forecasts of Hurricanes Danielle and Karl (2010) , 2013 .
[44] Chris Snyder,et al. A Hybrid ETKF-3DVAR Data Assimilation Scheme for the WRF Model. Part I: Observing System Simulation Experiment , 2008 .
[45] Jimy Dudhia,et al. Four-Dimensional Variational Data Assimilation for WRF : Formulation and Preliminary Results , 2009 .
[46] Qingnong Xiao,et al. An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part III: Antarctic Applications with Advanced Research WRF Using Real Data , 2013 .
[47] Yong-Run Guo,et al. The Weather Research and Forecasting Model's Community Variational/Ensemble Data Assimilation System: WRFDA , 2012 .
[48] Neill E. Bowler,et al. Comparison of Hybrid-4DEnVar and Hybrid-4DVar Data Assimilation Methods for Global NWP , 2015 .
[49] Ryan D. Torn,et al. The Pre-Depression Investigation of Cloud-Systems in the Tropics (PREDICT) Experiment: Scientific Basis, New Analysis Tools, and Some First Results , 2012 .
[50] Daniel P. Stern,et al. Predictability and Dynamics of a Nonintensifying Tropical Storm: Erika (2009) , 2013 .
[51] J. Dudhia. Numerical Study of Convection Observed during the Winter Monsoon Experiment Using a Mesoscale Two-Dimensional Model , 1989 .
[52] 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 .
[53] 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 .
[54] Craig H. Bishop,et al. Hidden Error Variance Theory. Part I: Exposition and Analytic Model , 2013 .
[55] Fuqing Zhang,et al. E4DVar: Coupling an Ensemble Kalman Filter with Four-Dimensional Variational Data Assimilation in a Limited-Area Weather Prediction Model , 2012 .
[56] Y. Honda,et al. A pre‐operational variational data assimilation system for a non‐hydrostatic model at the Japan Meteorological Agency: formulation and preliminary results , 2005 .
[57] Fuqing Zhang,et al. Effects of Vertical Wind Shear on the Predictability of Tropical Cyclones , 2013 .