| TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic P Sakov, F Counillon, L Bertino, KA Lisæter, PR Oke, A Korablev Ocean Science 8 (4), 633-656, 2012 | 439 | 2012 |
| A deterministic formulation of the ensemble Kalman filter: an alternative to ensemble square root filters P Sakov, PR Oke Tellus A 60 (2), 361-371, 2008 | 391 | 2008 |
| Relation between two common localisation methods for the EnKF P Sakov, L Bertino Computational Geosciences 15 (2), 225-237, 2011 | 236 | 2011 |
| Species identification in deep water using multiple acoustic frequencies RJ Kloser, T Ryan, P Sakov, A Williams, JA Koslow Canadian Journal of Fisheries and Aquatic Sciences 59 (6), 1065-1077, 2002 | 222 | 2002 |
| Implications of the form of the ensemble transformation in the ensemble square root filters P Sakov, PR Oke Monthly Weather Review 136 (3), 1042-1053, 2008 | 218 | 2008 |
| An iterative EnKF for strongly nonlinear systems P Sakov, DS Oliver, L Bertino Monthly Weather Review 140 (6), 1988-2004, 2012 | 217 | 2012 |
| An iterative ensemble Kalman smoother M Bocquet, P Sakov Quarterly Journal of the Royal Meteorological Society 140 (682), 1521-1535, 2014 | 192 | 2014 |
| Asynchronous data assimilation with the EnKF P Sakov, G Evensen, L Bertino Tellus A 62 (1), 24-29, 2010 | 184 | 2010 |
| Impacts of localisation in the EnKF and EnOI: experiments with a small model PR Oke, P Sakov, SP Corney Ocean Dynamics 57 (1), 32-45, 2007 | 180 | 2007 |
| Towards a dynamically balanced eddy-resolving ocean reanalysis: BRAN3 PR Oke, P Sakov, ML Cahill, JR Dunn, R Fiedler, DA Griffin, ... Ocean Modelling 67, 52-70, 2013 | 160 | 2013 |
| Representation error of oceanic observations for data assimilation PR Oke, P Sakov Journal of Atmospheric and Oceanic Technology 25 (6), 1004-1017, 2008 | 137 | 2008 |
| Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013 J Xie, L Bertino, F Counillon, KA Lisæter, P Sakov Ocean Science 13 (1), 123-144, 2017 | 112 | 2017 |
| Combining inflation-free and iterative ensemble Kalman filters for strongly nonlinear systems M Bocquet, P Sakov Nonlinear Processes in Geophysics 19 (3), 383-399, 2012 | 112 | 2012 |
| Joint state and parameter estimation with an iterative ensemble Kalman smoother M Bocquet, P Sakov Nonlinear Processes in Geophysics 20 (5), 803-818, 2013 | 110 | 2013 |
| Gippsland Lakes Environmental Study: assessing options for improving water quality and ecological function IT Webster, JS Parslow, RB Grayson, RP Molloy, J Andrewartha, P Sakov, ... Gippsland Coastal Board, Melbourne, 845-854, 2001 | 66 | 2001 |
| An iterative ensemble Kalman filter in the presence of additive model error P Sakov, JM Haussaire, M Bocquet Quarterly Journal of the Royal Meteorological Society 144 (713), 1297-1309, 2018 | 59 | 2018 |
| Ocean forecasting of mesoscale features can deteriorate by increasing model resolution towards the submesoscale PA Sandery, P Sakov Nature Communications 8, Article number: 1566 (2017), 2017 | 57 | 2017 |
| Objective array design: application to the tropical Indian Ocean P Sakov, PR Oke Journal of Atmospheric and Oceanic Technology 25 (5), 794-807, 2008 | 52 | 2008 |
| Assessing the footprint of a regional ocean observing system PR Oke, P Sakov Journal of Marine Systems 105, 30-51, 2012 | 50 | 2012 |
| Comparison of EnOI and EnKF regional ocean reanalysis systems P Sakov, PA Sandery Ocean Modelling 89, 45-60, 2015 | 48 | 2015 |
Peter OkeCSIROVerified email at csiro.au
