Ensemble‐type Kalman filter algorithm conserving mass, total energy and enstrophy
暂无分享,去创建一个
Yvonne Ruckstuhl | Martin Verlaan | Yuefei Zeng | Tijana Janjić | M. Verlaan | T. Janjić | Y. Zeng | Y. Ruckstuhl | Yuefei Zeng
[1] G. Evensen. Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .
[2] Craig H. Bishop,et al. Ensemble covariances adaptively localized with ECO‐RAP. Part 2: a strategy for the atmosphere , 2009 .
[3] Peter Lynch,et al. Initialization of the HIRLAM Model Using a Digital Filter , 1992 .
[4] 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 .
[5] Zavisa Janjic,et al. Nonlinear Advection Schemes and Energy Cascade on Semi-Staggered Grids , 1984 .
[6] P. Houtekamer,et al. Data Assimilation Using an Ensemble Kalman Filter Technique , 1998 .
[7] Georg A. Gottwald,et al. Controlling balance in an ensemble Kalman filter , 2014 .
[8] J. Kepert. Covariance localisation and balance in an Ensemble Kalman Filter , 2009 .
[9] B. Sonnerup,et al. Vortex laws and field line invariants in polytropic field-aligned MHD flow , 1994 .
[10] Jeffrey L. Anderson. An Ensemble Adjustment Kalman Filter for Data Assimilation , 2001 .
[11] D. Blackwell. An analog of the minimax theorem for vector payoffs. , 1956 .
[12] Dean S. Oliver,et al. The Ensemble Kalman Filter for Continuous Updating of Reservoir Simulation Models , 2006 .
[13] E. Wood,et al. Data Assimilation for Estimating the Terrestrial Water Budget Using a Constrained Ensemble Kalman Filter , 2006 .
[14] Dean S. Oliver,et al. Data Assimilation Using the Constrained Ensemble Kalman Filter , 2011 .
[15] R. Sadourny. The Dynamics of Finite-Difference Models of the Shallow-Water Equations , 1975 .
[16] Hartwig Deneke,et al. Initial phase of the Hans-Ertel Centre for Weather Research - A virtual centre at the interface of basic and applied weather and climate research , 2014 .
[17] Istvan Szunyogh,et al. Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter , 2005, physics/0511236.
[18] Georg A. Gottwald,et al. Controlling Overestimation of Error Covariance in Ensemble Kalman Filters with Sparse Observations: A Variance-Limiting Kalman Filter , 2011, 1108.5801.
[19] Clemens Simmer,et al. HErZ: The German Hans-Ertel Centre for Weather Research , 2016 .
[20] M. Bell,et al. Reducing ocean model imbalances in the equatorial region caused by data assimilation , 2017 .
[21] E. Kalnay,et al. Balance and Ensemble Kalman Filter Localization Techniques , 2011 .
[22] Neill E. Bowler,et al. Inflation and localization tests in the development of an ensemble of 4D‐ensemble variational assimilations , 2017 .
[23] Paul T. Boggs,et al. Sequential Quadratic Programming , 1995, Acta Numerica.
[24] Yuefei Zeng,et al. Study of conservation laws with the Local Ensemble Transform Kalman Filter , 2016 .
[25] Ivan Markovsky,et al. Structured low-rank approximation and its applications , 2008, Autom..
[26] Craig H. Bishop,et al. Adaptive sampling with the ensemble transform Kalman filter , 2001 .
[27] Lawrence L. Takacs,et al. Data Assimilation Using Incremental Analysis Updates , 1996 .
[28] Martin Verlaan,et al. Conservation of Mass and Preservation of Positivity with Ensemble-Type Kalman Filter Algorithms , 2014 .
[29] J. Whitaker,et al. Ensemble Data Assimilation without Perturbed Observations , 2002 .
[30] L. Armijo. Minimization of functions having Lipschitz continuous first partial derivatives. , 1966 .
[31] Richard Asselin,et al. Frequency Filter for Time Integrations , 1972 .
[32] Jorge Nocedal,et al. On the limited memory BFGS method for large scale optimization , 1989, Math. Program..
[33] M. Buehner. Ensemble‐derived stationary and flow‐dependent background‐error covariances: Evaluation in a quasi‐operational NWP setting , 2005 .