A data assimilation algorithm for predicting rain
暂无分享,去创建一个
[1] S. Cohn,et al. Assessing the Effects of Data Selection with the DAO Physical-Space Statistical Analysis System* , 1998 .
[2] Juanzhen Sun,et al. Use of NWP for Nowcasting Convective Precipitation: Recent Progress and Challenges , 2014 .
[3] G. Evensen,et al. Analysis Scheme in the Ensemble Kalman Filter , 1998 .
[4] Serge Gratton,et al. Preconditioning and globalizing conjugate gradients in dual space for quadratically penalized nonlinear-least squares problems , 2013, Comput. Optim. Appl..
[5] Stephen E. Cohn,et al. The Behavior of Forecast Error Covariances for a Kalman Filter in Two Dimensions , 1991 .
[6] Yvonne Ruckstuhl,et al. Ensemble‐type Kalman filter algorithm conserving mass, total energy and enstrophy , 2017 .
[7] A. Simmons,et al. The ECMWF operational implementation of four‐dimensional variational assimilation. I: Experimental results with simplified physics , 2007 .
[8] Laurent Bertino,et al. Gaussian anamorphosis extension of the DEnKF for combined state parameter estimation: Application to a 1D ocean ecosystem model , 2012 .
[9] Istvan Szunyogh,et al. Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter , 2005, physics/0511236.
[10] Joachim Dahl,et al. Implementation of nonsymmetric interior-point methods for linear optimization over sparse matrix cones , 2010, Math. Program. Comput..
[11] Matthias Sommer,et al. A conservative scheme for the shallow‐water system on a staggered geodesic grid based on a Nambu representation , 2009 .
[12] Serge Gratton,et al. An observation‐space formulation of variational assimilation using a restricted preconditioned conjugate gradient algorithm , 2009 .
[13] Yuefei Zeng,et al. Study of conservation laws with the Local Ensemble Transform Kalman Filter , 2016 .
[14] P. Courtier,et al. The ECMWF implementation of three‐dimensional variational assimilation (3D‐Var). I: Formulation , 1998 .
[15] Martin Verlaan,et al. Conservation of Mass and Preservation of Positivity with Ensemble-Type Kalman Filter Algorithms , 2014 .
[16] G. S. Ketefian,et al. A mass, energy, vorticity, and potential enstrophy conserving lateral fluid-land boundary scheme for the shallow water equations , 2008, J. Comput. Phys..
[17] Jean-Michel Brankart,et al. A truncated Gaussian filter for data assimilation with inequality constraints: Application to the hydrostatic stability condition in ocean models , 2008 .
[18] G. Craig,et al. A simple dynamical model of cumulus convection for data assimilation research , 2014 .
[19] Stephen E. Cohn,et al. An Introduction to Estimation Theory (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice) , 1997 .
[20] M. Hestenes,et al. Methods of conjugate gradients for solving linear systems , 1952 .
[21] George C. Craig,et al. Testing particle filters on simple convective‐scale models. Part 2: A modified shallow‐water model , 2016 .
[22] Michael A. Saunders,et al. Procedures for optimization problems with a mixture of bounds and general linear constraints , 1984, ACM Trans. Math. Softw..
[23] G. Evensen. Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .
[24] Serge Gratton,et al. Range-Space Variants and Inexact Matrix-Vector Products in Krylov Solvers for Linear Systems Arising from Inverse Problems , 2011, SIAM J. Matrix Anal. Appl..
[25] Mark Buehner,et al. A New Environment Canada Regional Ice Analysis System , 2013 .
[26] Nils Gustafsson,et al. Survey of data assimilation methods for convective‐scale numerical weather prediction at operational centres , 2018 .
[27] Geir Evensen,et al. The Ensemble Kalman Filter: theoretical formulation and practical implementation , 2003 .
[28] Laurent Bertino,et al. Application of the Gaussian anamorphosis to assimilation in a 3-D coupled physical-ecosystem model of the North Atlantic with the EnKF: a twin experiment , 2009 .
[29] Zdenek Dostál,et al. Box Constrained Quadratic Programming with Proportioning and Projections , 1997, SIAM J. Optim..
[30] G. Evensen,et al. Sequential Data Assimilation Techniques in Oceanography , 2003 .
[31] Y. Trémolet. Incremental 4D-Var convergence study , 2007 .
[32] Craig H. Bishop,et al. Adaptive sampling with the ensemble transform Kalman filter , 2001 .
[33] A. Arakawa,et al. A Potential Enstrophy and Energy Conserving Scheme for the Shallow Water Equations , 1981 .
[34] Yvonne Ruckstuhl,et al. Parameter and state estimation with ensemble Kalman filter based algorithms for convective‐scale applications , 2018 .
[35] R. Sadourny. The Dynamics of Finite-Difference Models of the Shallow-Water Equations , 1975 .
[36] Chih-Jen Lin,et al. Newton's Method for Large Bound-Constrained Optimization Problems , 1999, SIAM J. Optim..
[37] M. Zupanski. Maximum Likelihood Ensemble Filter: Theoretical Aspects , 2005 .
[38] Nicholas I. M. Gould,et al. Trust Region Methods , 2000, MOS-SIAM Series on Optimization.
[39] Trevor Davies,et al. An Overview of Numerical Methods for the Next Generation U.K. NWP and Climate Model , 1997 .
[40] P. Toint,et al. An iterative working-set method for large-scale nonconvex quadratic programming , 2002 .