Ensemble-based Kalman filters in strongly nonlinear dynamics
暂无分享,去创建一个
[1] G. Evensen. Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .
[2] P. Houtekamer,et al. Data Assimilation Using an Ensemble Kalman Filter Technique , 1998 .
[3] S. Julier,et al. Which Is Better, an Ensemble of Positive–Negative Pairs or a Centered Spherical Simplex Ensemble? , 2004 .
[4] Jeffrey L. Anderson. An Ensemble Adjustment Kalman Filter for Data Assimilation , 2001 .
[5] Michael Ghil,et al. Advanced data assimilation in strongly nonlinear dynamical systems , 1994 .
[6] L. A. Bauer. Inauguration of the magnetic survey of the North Pacific Ocean , 1905 .
[7] J. Whitaker,et al. Ensemble Data Assimilation without Perturbed Observations , 2002 .
[8] Jeffrey L. Anderson,et al. A Monte Carlo Implementation of the Nonlinear Filtering Problem to Produce Ensemble Assimilations and Forecasts , 1999 .
[9] Craig H. Bishop,et al. Adaptive sampling with the ensemble transform Kalman filter , 2001 .
[10] E. Lorenz. Deterministic nonperiodic flow , 1963 .
[11] Cma Training,et al. Predictability of Weather and Climate , 2011 .
[12] M. Verlaan,et al. Nonlinearity in Data Assimilation Applications: A Practical Method for Analysis , 2001 .
[13] J. Whitaker,et al. Ensemble Square Root Filters , 2003, Statistical Methods for Climate Scientists.
[14] Geir Evensen,et al. The Ensemble Kalman Filter: theoretical formulation and practical implementation , 2003 .
[15] Thomas M. Hamill,et al. Predictability of Weather and Climate: Ensemble-based atmospheric data assimilation , 2006 .