Development of NAVDAS-AR: non-linear formulation and outer loop tests
By: Thomas Rosmond and Liang Xu
References
-
Bennett
, A. E. Inverse Modeling of the Ocean and Atmosphere . Cambridge University Press, Cambridge, 234 pp. -
Bennett
, A. Eand McIntosh, P. C.. Open ocean modeling as an inverse problem: tidal theory. J. Phys. Oceanography, 1004– 1018. -
Bennett
, A. E, and Thorbum, M. A.. The generalized inverse of a nonlinear quasigeostrophic ocean circulation model. J. Phys. Oceanography, 213– 230. -
Chua
, B. S.and Bennett, A. E. An inverse ocean modeling system. Ocean Modeling, 137– 165. -
Cohn
, S., da Silva, A., Guo, J., Sienkiewicz, M.and Lamich, D.. Assessing the effects of data selection with the DA0 physical-space Statistical Analysis System.. 126, 2913– 2926. -
Courtier
, P.. Dual formulation of four-dimensional data assimila-tion. Q. J. R. MeteoroL Soc. 123, 2449– 2461. -
Courtier
, P., Thepaut, J. N.and Hollingsworth, A.. A strategy for op-erational implementation of 4D-VAR, using an incremental appraoch. Q. J. R. MeteoroL Soc. 120, 1367– 1387. -
Coutier
, P., Andersson, E., Heckley, W., Pailleux, J., Vasiljevic, D.and co-authors.. The ECMWF implementation of three dimensional assimilation (3DVAR). Part 1: formulation. Q. J. R. Meteorol. Soc. 124, 1783– 1807. -
Daley
, R.and Barker, E.. The NAVDAS Source Book. NRL/PJ/7530-01-441. Naval Research Laboratory. 163 pp. -
Daley
, R.and Barker, E.. 129, 869– 883. -
Derber
, J., Wu, H. W., Zupanski, M., Parrish, D., Purser, J.and co-authors. 1996. Variational assimilation at NCEP. Proceedings of the workshop on the non-linear aspects of data assimilation, 9– 11. -
Golub
, G. H.and Van Loan, C. E. Matrix Computations, 3rd Edi-tion . Johns Hopkins University Press, Baltimore, MD, 694 pp. -
Hogan
, T.and Rosmond, T.. The description of the Navy Opera-tional Global Atmospheric Prediction System’spectral forecast model.. 119, 1786– 1815. -
Rabier
, E, Thepaut, J. N.and Courtier, P.. Extended assimilation and forecast experiments with a four-dimensional variational assimi-lation system. Q. J. R. MeteoroL Soc. 124, 1861– 1887. -
Rabier
, E, Javinen, H., Klinker, E., Mahfouf, J., A. 2000. The ECMWF implementation of four-dimensional variational assimilation. I: experimental results with simplified physics. Q. J. R. MeteoroL Soc. 126, 1143-117 0. -
Veerse
, Eand Thepaut, J. N.. Multiple-truncation incremental ap-proach for four-dimensional variational data assimilation. Q. J. R. MeteoroL Soc. 124, 1880– 1908. -
Xu
, L.and Daley, R.. Towards a true four-dimensional data assim-ilation algorithm: application of a cycling representer algorithm to a simple transport problem. Tellus, 109– 128. -
Xu
, L.and Daley, R.. Data assimilation with a barotropically un-stable shallow water system using representer algorithms. Tellus, 125– 137. -
Xu
, L.and Rosmond, T.. Formulation of the NRL Atmospheric Variational Data Assimilation System - Accelerated Representer (NAVDAS-AR). NRL/MR/7532-04-36. Naval Research Laboratory, 28 pp. -
Xu
, L., Rosmond, T.and Daley, R.. Development of NAVDAS-AR. Formulation and initial tests of the linear problem. Tellus, 546– 559.
DOI: https://doi.org/10.1111/j.1600-0870.2006.00148.x | Journal eISSN: 3035-9554
Language: English
Page range: 45 - 58
Submitted on: Oct 15, 2004
Accepted on: Mar 31, 2005
Published on: Jan 1, 2006
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
© 2006 Thomas Rosmond, Liang Xu, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.