Higher Resolution in an Operational Ensemble Kalman Filter
暂无分享,去创建一个
Seung-Jong Baek | P. L. Houtekamer | Herschel L. Mitchell | Xingxiu Deng | X. Deng | P. Houtekamer | H. Mitchell | N. Gagnon | Seung-Jong Baek | Normand Gagnon | Xingxiu Deng
[1] Roger Daley,et al. The application of Kalman smoother theory to the estimation of 4DVAR error statistics , 1996 .
[2] Niels Bormann,et al. Estimates of spatial and interchannel observation‐error characteristics for current sounder radiances for numerical weather prediction. I: Methods and application to ATOVS data , 2010 .
[3] R. Daley. Atmospheric Data Analysis , 1991 .
[4] G. Evensen,et al. Analysis Scheme in the Ensemble Kalman Filter , 1998 .
[5] Stephen E. Cohn,et al. The Behavior of Forecast Error Covariances for a Kalman Filter in Two Dimensions , 1991 .
[6] S. Planton,et al. A Simple Parameterization of Land Surface Processes for Meteorological Models , 1989 .
[7] Guillem Candille,et al. The Multiensemble Approach: The NAEFS Example , 2009 .
[8] A. Blackadar. The vertical distribution of wind and turbulent exchange in a neutral atmosphere , 1962 .
[9] P. Houtekamer,et al. Ensemble size, balance, and model-error representation in an ensemble Kalman filter , 2002 .
[10] M. Buehner,et al. Atmospheric Data Assimilation with an Ensemble Kalman Filter: Results with Real Observations , 2005 .
[11] G.E. Moore,et al. Cramming More Components Onto Integrated Circuits , 1998, Proceedings of the IEEE.
[12] P. Courtier,et al. The ECMWF implementation of three‐dimensional variational assimilation (3D‐Var). I: Formulation , 1998 .
[13] J. Hansen,et al. Implications of Stochastic and Deterministic Filters as Ensemble-Based Data Assimilation Methods in Varying Regimes of Error Growth , 2004 .
[14] Stéphane Laroche,et al. Impact of Radiosonde Balloon Drift on Numerical Weather Prediction and Verification , 2013 .
[15] Stanley G. Benjamin,et al. Predictions of 2010’s Tropical Cyclones Using the GFS and Ensemble-Based Data Assimilation Methods , 2011 .
[16] Ad Stoffelen,et al. Ambiguity removal and assimilation of scatterometer data , 1997 .
[17] Jean Côté,et al. Staggered Vertical Discretization of the Canadian Environmental Multiscale (GEM) Model Using a Coordinate of the Log-Hydrostatic-Pressure Type , 2014 .
[18] P. L. Houtekamer,et al. A System Simulation Approach to Ensemble Prediction , 1996 .
[19] E. Lorenz. The predictability of a flow which possesses many scales of motion , 1969 .
[20] X. Deng,et al. Model Error Representation in an Operational Ensemble Kalman Filter , 2009 .
[21] 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 .
[22] P. L. Houtekamer,et al. Verification of an Ensemble Prediction System against Observations , 2007 .
[23] Gerhard Wellein,et al. Introduction to High Performance Computing for Scientists and Engineers , 2010, Chapman and Hall / CRC computational science series.
[24] D. Dee. On-line Estimation of Error Covariance Parameters for Atmospheric Data Assimilation , 1995 .
[25] Craig H. Bishop,et al. Ensemble covariances adaptively localized with ECO-RAP. Part 1: tests on simple error models , 2009 .
[26] C. Bishop,et al. Cloud-Resolving Hurricane Initialization and Prediction through Assimilation of Doppler Radar Observations with an Ensemble Kalman Filter , 2009 .
[27] Yannick Trémolet. Incremental 4D-Var convergence study , 2007 .
[28] Luc Fillion,et al. The impact of a digital filter finalization technique in a global data assimilation system , 1995 .
[29] P. Bickel,et al. Obstacles to High-Dimensional Particle Filtering , 2008 .
[30] P. L. Houtekamer,et al. Toward Random Sampling of Model Error in the Canadian Ensemble Prediction System , 2010 .
[31] Vadim Gorin,et al. Estimation of Multivariate Observation-Error Statistics for AMSU-A Data , 2011 .
[32] H. Mitchell,et al. A continuous three‐dimensional model of short‐range forecast error covariances , 1992 .
[33] Dian J. Seidel,et al. Global radiosonde balloon drift statistics , 2011 .
[34] Arlindo da Silva,et al. Data assimilation in the presence of forecast bias , 1998 .
[35] Jing Guo,et al. Construction and application of covariance functions with variable length‐fields , 2006 .
[36] R. McTaggart-Cowan,et al. The Utility of Upper-Boundary Nesting in NWP , 2011 .
[37] Ricardo Todling,et al. The THORPEX Observation Impact Intercomparison Experiment , 2010 .
[38] S. Belair,et al. Medium-Range Quantitative Precipitation Forecasts from Canada's New 33-km Deterministic Global Operational System , 2009 .
[39] Ricardo Todling,et al. Comparing Two Approaches for Assessing Observation Impact , 2013 .
[40] Bin He,et al. Parallel Implementation of an Ensemble Kalman Filter , 2014 .
[41] J. Whitaker,et al. Accounting for the Error due to Unresolved Scales in Ensemble Data Assimilation: A Comparison of Different Approaches , 2005 .
[42] Y. Trémolet. Incremental 4D-Var convergence study , 2007 .
[43] P. Courtier,et al. The ECMWF implementation of three‐dimensional variational assimilation (3D‐Var). II: Structure functions , 1998 .
[44] P. Lacarrére,et al. Parameterization of Orography-Induced Turbulence in a Mesobeta--Scale Model , 1989 .
[45] Norman A. McFarlane,et al. The Effect of Orographically Excited Gravity Wave Drag on the General Circulation of the Lower Stratosphere and Troposphere , 1987 .
[46] Jean-Francois Geleyn. On a Simple, Parameter-Free Partition between Moistening and Precipitation in the Kuo Scheme , 1985 .
[47] H. Hersbach. Decomposition of the Continuous Ranked Probability Score for Ensemble Prediction Systems , 2000 .
[48] Bernard Bilodeau,et al. Development of the 35‐km version of the Canadian regional forecast system , 1997 .
[49] P. L. Houtekamer,et al. Ensemble Kalman filtering , 2005 .
[50] John Derber,et al. The Use of TOVS Cloud-Cleared Radiances in the NCEP SSI Analysis System , 1998 .
[51] 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 .
[52] Michael Ghil,et al. Advanced data assimilation in strongly nonlinear dynamical systems , 1994 .
[53] P. Houtekamer,et al. A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation , 2001 .
[54] Dick Dee,et al. Adaptive bias correction for satellite data in a numerical weather prediction system , 2007 .
[55] G. Evensen. Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .
[56] G. Shutts. A kinetic energy backscatter algorithm for use in ensemble prediction systems , 2005 .
[57] F. Rabier,et al. The potential of high‐density observations for numerical weather prediction: A study with simulated observations , 2003 .
[58] Joseph Tribbia,et al. Crucial Experiments in Climate Science , 2010 .
[59] Anthony Hollingsworth,et al. The statistical structure of short-range forecast errors as determined from radiosonde data , 1986 .
[60] D. Zupanski. A General Weak Constraint Applicable to Operational 4DVAR Data Assimilation Systems , 1997 .