Filters: Author is Pavel Sakov [Clear All Filters]
TOPAZ4: an ocean sea ice data assimilation system for the North Atlantic and Arctic. Ocean Science [Internet]. 2012;8:29. Available from: http://www.ocean-sci.net/8/633/2012/os-8-633-2012.html.
An Iterative EnKF for Strongly Nonlinear Systems. Monthly Weather Review. 2012;140(6):1988 - 2004..
Relation between two common localisation methods for the EnKF. Computational Geosciences [Internet]. 2011;15:12. Available from: http://www.springerlink.com/content/11v56ll1586v344u/.
Asynchronous data assimilation with the EnKF. Tellus A [Internet]. 2010;62A. Available from: http://onlinelibrary.wiley.com/doi/10.1111/j.1600-0870.2009.00417.x/abstract.
Modelling the physical oceanography of the D'Entrecasteaux Channel and the Huon Estuary, south-eastern Tasmania. Marine and Freshwater Research. 2010;61..
Pilot assimilation of glider data with TOPAZ.; 2009 p. ..
Application of a hybrid EnKF-OI to ocean forecasting. Ocean Science [Internet]. 2009;5. Available from: www.ocean-sci.net/5/389/2009/.
Comment on Ensemble Kalman filter with the unscented transform. Physica D: Nonlinear Phenomena. 2009;238..
A comparison of shelf observation platforms for assimilation in an eddy-resolving ocean mode. Dynamics of Atmospheres and Oceans. 2009;48..
Implications of the form of the ensemble transformations in the ensemble square root ﬁlters. Monthly Weather Review. 2008;136..
Objective array design: application to the tropical Indian Ocean. Journal of Atmos. Ocean. Tech. 2008;25..
Representation error of oceanic observations for data assimilation. Journal of Atmos. Ocean. Tech. 2008;25..