Intercomparison of Variational Data Assimilation and the Ensemble Kalman Filter for Global Deterministic NWP. Part I: Description and Single-Observation Experiments
暂无分享,去创建一个
[1] A.H. Haddad,et al. Applied optimal estimation , 1976, Proceedings of the IEEE.
[2] John Derber,et al. The National Meteorological Center's spectral-statistical interpolation analysis system , 1992 .
[3] P. Courtier,et al. A strategy for operational implementation of 4D‐Var, using an incremental approach , 1994 .
[4] Luc Fillion,et al. The impact of a digital filter finalization technique in a global data assimilation system , 1995 .
[5] A. Staniforth,et al. The Operational CMC–MRB Global Environmental Multiscale (GEM) Model. Part II: Results , 1998 .
[6] A. Staniforth,et al. The Operational CMC–MRB Global Environmental Multiscale (GEM) Model. Part I: Design Considerations and Formulation , 1998 .
[7] 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 .
[8] T. Hamill,et al. A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme , 2000 .
[9] P. Houtekamer,et al. A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation , 2001 .
[10] J. Whitaker,et al. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter , 2001 .
[11] J. Yorke,et al. Four-dimensional ensemble Kalman filtering , 2004 .
[12] Andrew C. Lorenc,et al. Modelling of error covariances by 4D‐Var data assimilation , 2003 .
[13] Andrew C. Lorenc,et al. The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var , 2003 .
[14] E. Kalnay,et al. Four-dimensional ensemble Kalman filtering , 2004 .
[15] M. Buehner,et al. Impact of the GEM model simplified physics on extratropical singular vectors , 2004 .
[16] P. L. Houtekamer,et al. Ensemble Kalman filtering , 2005 .
[17] M. Buehner. Ensemble‐derived stationary and flow‐dependent background‐error covariances: Evaluation in a quasi‐operational NWP setting , 2005 .
[18] M. Buehner,et al. Atmospheric Data Assimilation with an Ensemble Kalman Filter: Results with Real Observations , 2005 .
[19] E. Kalnay,et al. C ○ 2007 The Authors , 2006 .
[20] A. Simmons,et al. The ECMWF operational implementation of four‐dimensional variational assimilation. I: Experimental results with simplified physics , 2007 .
[21] A. Lorenc,et al. The Met Office global four‐dimensional variational data assimilation scheme , 2007 .
[22] Monique Tanguay,et al. Extension of 3DVAR to 4DVAR: Implementation of 4DVAR at the Meteorological Service of Canada , 2007 .
[23] Xiangjun Tian,et al. An ensemble-based explicit four-dimensional variational assimilation method , 2008 .
[24] Istvan Szunyogh,et al. A local ensemble transform Kalman filter data assimilation system for the NCEP global model , 2008 .
[25] Q. Xiao,et al. An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part I: Technical Formulation and Preliminary Test , 2008 .
[26] Thomas M. Hamill,et al. Ensemble Data Assimilation with the NCEP Global Forecast System , 2008 .
[27] 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 .
[28] X. Deng,et al. Model Error Representation in an Operational Ensemble Kalman Filter , 2009 .
[29] Jean-Noël Thépaut,et al. A Comparison of Variational and Ensemble-Based Data Assimilation Systems for Reanalysis of Sparse Observations , 2009 .
[30] S. Belair,et al. Medium-Range Quantitative Precipitation Forecasts from Canada's New 33-km Deterministic Global Operational System , 2009 .
[31] E. Kalnay,et al. Comparison of Local Ensemble Transform Kalman Filter, 3DVAR, and 4DVAR in a Quasigeostrophic Model , 2009 .
[32] Daniel Hodyss,et al. Ensemble covariances adaptively localized with ECO-RAP. Part 2: a strategy for the atmosphere , 2009 .
[33] Robert Sharman,et al. Convection-Permitting Simulations of the Environment Supporting Widespread Turbulence within the Upper-Level Outflow of a Mesoscale Convective System , 2009 .
[34] P. L. Houtekamer,et al. Ensemble Kalman Filter Configurations and Their Performance with the Logistic Map , 2009 .
[35] 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 .
[36] Craig H. Bishop,et al. Vertical Covariance Localization for Satellite Radiances in Ensemble Kalman Filters , 2010 .