Observation thinning in data assimilation computations

EURO Journal on Computational Optimization - Tập 3 Số 1 - Trang 31-51 - 2015
Serge Gratton1,2, M. Monserrat Rincon-Camacho1, Ehouarn Simon2, Philippe L. Toint3
1CERFACS, 42, Avenue Gaspard Coriolis, 31057 , Toulouse, France.
2Université de Toulouse, INP, IRIT, 2, rue Camichel, 31000 , Toulouse, France.
3Namur Center for Complex Systems, University of Namur, 61, rue de Bruxelles, 5000 , Namur, Belgium.

Tóm tắt

Từ khóa


Tài liệu tham khảo

Arioli, 2004, A stopping criterion for the conjugate gradient algorithm in a finite element method framework, Numer Math, 97, 1, 10.1007/s00211-003-0500-y

Bishop CH, Etherton BJ, Majumdar SJ (2001) Adaptive sampling with the ensemble transform Kalman filter. Part i: theoretical aspects. Mon Weather Rev 129:420–436

Brandt A (1973) Multi-level adaptive technique (MLAT) for fast numerical solution to boundary value problems. In: Proceedings of the third international conference on numerical methods in fluid mechanics. Springer, New York, pp 82–89

Cardinali, 2004, Influence-matrix diagnostic of a data assimilation system, Q J R Meteorol Soc, 130, 2767, 10.1256/qj.03.205

Courtier, 1997, Dual formulation of four-dimensional variational assimilation, Q J R Meteorol Soc, 123, 2449, 10.1002/qj.49712354414

Courtier, 1994, A strategy for operational implementation of 4D-Var, using an incremental approach, Q J R Meteorol Soc, 120, 1367, 10.1002/qj.49712051912

Daescu, 2004, Adaptive observations in the context of 4D-Var data assimilation, Meteorol Atmos Phys, 85, 205, 10.1007/s00703-003-0011-5

Dörfler W (1996) A convergent adaptive algorithm for Poisson’s equation. SIAM J Numer Anal 33(3): 1106–1124

El Akkroui, 2008, Intercomparison of the primal and dual formulations of variational data assimilation, Q J R Meteorol Soc, 134, 1015, 10.1002/qj.257

Golub, 1996

Gratton, 2009, An observation-space formulation of variational assimilation using a restricted preconditioned conjugates gradient algorithm, Q J R Meteorol Soc, 135, 1573, 10.1002/qj.477

Gratton S, Gürol S, Toint PL (2013) Preconditioning and globalizing conjugate gradients in dual space for quadratically penalized nonlinear-least squares problems. Comput Optim Appl 54:1–25

Gratton S, Lawless AS, Nichols NK (2007) Approximate Gauss–Newton methods for nonlinear least squares problems. SIAM J Optim 18(1):106–132

Hestenes, 1952, Methods of conjugate gradients for solving linear systems, J Natl Bur Stand, 49, 409, 10.6028/jres.049.044

Karimi A, Paul MR (2009) Extensive chaos in the Lorenz-96 model. arXiv:0906.3496

Logg, 2012, automated solution of differential equations by the finite element method, Lect Notes Comput Sci Eng, 84, 1

Lorenz, 1998, Optimal sites for supplementary weather observations: simulation with a small model, J Atmos Sci, 55, 399, 10.1175/1520-0469(1998)055<0399:OSFSWO>2.0.CO;2

McCormick S (1984) Fast adaptive composite grid (FAC) methods: theory for the variational case. In: Defect correction methods. Springer, New York, pp 115–121

Morin, 2000, Data oscillation and convergence of adaptive fem, SIAM J Numer Anal, 38, 466, 10.1137/S0036142999360044

Nocedal J, Wright SJ (1999) Theory of constrained optimization. In: Numerical optimization. Springer, New York, pp 314–357

Rincon-Camacho MM (2011) Adaptive methods for total variation based image restoration. Ph.D. thesis, University of Graz