Publications of Peter Jan van Leeuwen

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  1. Aspects of Particle Filtering in high-dimensional spaces. Van Leeuwen, P.J., in: Dynamic Data-Driven Environmental System Sience, LNCS 8964, 251, Springer, doi:10.1007/978-3-319-25138-7, 2015.

  2. Nonlinear Data Assimilation. Van Leeuwen, P.J., Y. Cheng, and S. Reich., Springer, doi:10,1007/978-3-319-18347-3, 2015.

  3. Twin experiments with the Equivalent-Weights Particle Filter and HadCM3. Browne, P.A., and P.J. van Leeuwen, Q.J.Royal.Meteorol. Soc., In Press, 2015.

  4. Comparing hybrid data-assimilation methods on the Lorenz 1963 model with increasing nonlinearity. Goodliff, M., J. Amezqua, and P.J. van Leeuwen, Tellus A, 67, 26928, doi:10.3402/tellusa.v67.26928, 2015.

  5. The effect of the Equivalent-weights particle Filter on model balances in a primitive equation model Ades M., P.J. van Leeuwen Monthly Weather Rev. 143, 581-596, doi:10.1175/MWR-D-14-00050.1, 2015.

  6. The Equivalent-weights Particle Filter in a high-dimensional system Ades M., P.J. van Leeuwen Q.J.Royal.Met.Soc.,141,484-503,doi:10.1002/qj.2370, 2015.

  7. Representation errors and retrievals in linear and nonlinear data assimialtion P.J. van Leeuwen Q.J. Roayl. Meteorol. Soc. doi:10.1002/qj.2464, 2014.

  8. Particle filters for the Geosciences P.J. van Leeuwen in 'Data Assimilation for the Geosciences', Oxford University Press Blue Book Series, 2014.

  9. Cloud banding and winds in intense European cyclones: results from the DIAMET project Vaughan et al. (P.J. van Leeuwen) Bulletin American Meteorol. Soc. ISSN 1520-0477, 2014.

  10. Gaussian anamorphosis in the analysis step of the EnKF: a joint state variable/observation approach Amezqua, J., and P.J. van Leeuwen Tellus A, 66, doi:10.3402/tellusa.v66.23493, 2014.

  11. Observation impact in data assimilation: the effect of non-Gaussian observation error Folwer, A., and P.J. van Leeuwen Tellus A, 65, 20035,, 2013.

  12. A variational approach to retrieve rain rate by combining information from rain gauges, radars, and microwave links Bianchi, B., P.J. van Leeuwen, R.J. Hogan, A. Berne J. Hydrometeorology, 14, 1897-1909, doi:10.1175/JHM-D-12-094.1, 2013.

  13. Nonlinear error dynamics for cycled data assimilation methods Moodey, A.J.F, A.S. Lawless, R.W.E Potthast, and P.J. van Leeuwen Inverse Problems, 29, 025002, doi:10.1088/0266-5611/29/2/025002, 2013.

  14. Reply to: 'A note on "The steadiness of separating meandering currents" ' Van Leeuwen, P.J., and W.P.M. De Ruijter, In Press, J. Physical Oceanogr., 2012.

  15. An exploration of the Equivalent-Weights Particle Filter Ades, M., and P.J. Van Leeuwen, Q. J. Royal Meteorol. Soc., doi:10.1002/qj.1995, 2012.

  16. Efficient fully nonlinear data assimilation for geophysical fluid dynamics Van Leeuwen, P.J. and M. Ades, Online version, Computers and Geosciences,, 2012.

  17. Measures of observation impact in non-Gaussian data assimilation Fowler, A. and P.J. van Leeuwen, Tellus A, 64, 17192, doi:10.3402/tellusa.v64i0.17192, 2012.

  18. Measuring the impact of observations on the predictability of the Kuroshio Extension in a shallow-water model Kramer, W., H.A. Dijkstra, S. Pierini, and P.J. van Leeuwen, J. Phys. Oceanogr., 42, 3-17, doi:10.1175/JPO-D-11-014.1, 2012.

  19. Efficient non-linear Data Assimilation for ocean models of intermediate complexity Van Leeuwen, P.J., IEEE Statistical Signal Processing workshop, Nice, 28-30 June, doi: 10.1109/SSP.2011.5967700, 2011.

  20. Efficient non-linear Data Assimilation in Geophysical Fluid Dynamics Van Leeuwen, P.J., Computers and Fluids, doi:10,1016/j.compfluid.2010.11.011, 2011.

  21. Nonlinear Data Assimilation in geosciences: an extremely efficient particle filter Van Leeuwen, P.J., Q.J.R.Meteorol.Soc., 136, 1991-1996, doi:10,1002/qj699, 2010.

  22. Seasonal and interannual variability in the Mozambique Channel from Moored current observations Ridderinkhof, H., P.M. van der Werf, J.E. Ullgren, H.M. van Aken, P.J. van Leeuwen, and W.P.M. de Ruijter, J. Geophys. Res, 115. C06010, doi:10,1029JC005619, 2010.

  23. Comparison between observations and models of the Mozambique Channel transport: the seasonal cycle and eddy frequencies. Van der Werf, P.J. van Leeuwen, H. Ridderinkhof, and W.P.M. de Ruijter, J. Geophys. Res., 115, CO2002, doi:10.1029/2009JC005633, 2010.

  24. Flux comparison of Eulerian and Lagrangian estimates of Agulhas Leakage: A case study using a numerical model. Van Sebille, E., P.J. van Leeuwen, A. Biastoch, and W.P.M. de Ruijter, Deep-Sea Res. I, 57, 319-327, 2010.

  25. On the fast decay of Agulhas rings. Van Sebille, E., P.J. van Leeuwen, A. Biastoch, and W.P.M. de Ruijter, J. Geophys. Res., 115, C03010, 2010.

  26. Relating Agulhas leakage to the Agulhas Current retroflection location. Van Sebille, E., C.N. Barron, A. Biastoch, P.J. van Leeuwen, F.C. Vossepoel, and W.P.M. de Ruijter, Ocean Sci., 5, 511-521, 2009.

  27. Particle filtering in geophysical systems Van Leeuwen, P.J., Monthly Weather Rev. 137, 4089-4114, 2009.

  28. Lagrangian validation of numerical drifter trajectories using drifting bouys: Application to the Agulhas system Van Sebille, E., P.J. van Leeuwen, A. Biastoch, C.N. Barron, and W.P.M. de Ruijter, Ocean Modelling, 29, 269-276, 2009.

  29. The influnece of bottom topography on the decay of modeled Agulhas rings De Steur, L., and P.J. van Leeuwen, Deep-Sea Res. I 56, 471-494, 2009.

  30. Observation and origin of an interannual salinity anomaly in the Mozambique Channel Van der Werf, P.M., M.W. Schouten, P.J. van Leeuwen, H. Ridderinkhof, and W.P.M. de Ruijter, J. Geophys. Res. 114, C03017, doi:10.1029/2008JC004911, 2009.

  31. On the steadiness of separating meandering currents. Van Leeuwen, P.J., and W.P.M. de Ruijter, J. Phys. Oceanogr., 39, 437-448, 2009.

  32. A weaker Agulhas Current leads to more Agulhas Leakage. Van Sebille, E., A. Biastoch, P.J. van Leeuwen, and W.P.M. de Ruijter, Geophys. Res. Lett. 36, L03601, doi:10.1029/2009GL036614, 2009.

  33. When can we expect extremely high surface temperatures? Sterl, A., C. Severijns, G.J. van Olderborgh. H. Dijkstra, W. Hazeleger, M. van den Broeke, G. Burgers, B. van den Hurk, P.J. van Leeuwen, P. van Veldhoven, Geophys. Res. Lett. 35, L14703, doi:10.1029/2008GL034071, 2008.

  34. Parameter estimation using a particle method: Inferring mixing coefficients from sea-level observations. Vossepoel, F.C., and P.J. Van Leeuwen, Monthly Weather Rev. 135, 1006-1020, 2007.

  35. Fast northward energy transfer in the Atlantic by Agulhas Rings. Van Sebille, E., P.J. Van Leeuwen, J. Phys. Oceanogr. 37, 2305-2315, 2007.

  36. The propagation mechanism of a vortex on the beta plane. Van Leeuwen, P.J., J. Phys. Oceanogr. 37, 2316-2330, 2007.

  37. Flow structure and variability in the subtropical Indian Ocean: Instability of the South Indian Ocean Countercurrent Palastanga, V., P.J. van Leeuwen, M W. Schouten, and W.P.M. de Ruijter J. Geophys. Res. 112, C01001, doi:10.1029/2005JC003395, 2007.

  38. A link between low-frequency mesoscale eddy variability around Madagascar and the large-scale Indian Ocean variability Palastanga, V., P. J. van Leeuwen, and W. P M. de Ruijter J. Geophys. Res., 111, C09029, doi:10.1029/2005JC003081, 2006.

  39. Observations of the inter-ocean exchange around South Africa, De Ruijter, W.P.M., G.-J. Brummer, S.S. Drijfhout, J.R.E. Lutjeharms, F. Peeters, H. Ridderinkhof, H. van Aken, and P.J. van Leeuwen, EOS, 87, pp 97, 99, 101, doi:10.1029/2006EO090002, 2006.

  40. Data assimilation for marine monitoring and prediction: the MERCATOR operational assimilation system and the MERSEA developments. Brasseur, P., P.Bahurel, L. Bertino, F. Birol, J.-M. Brankart, N. Ferry, S. Losa, E. Remy, J. Schroeter, S. Skachko, C.-E. Testut, B. Tranchat, P.J. van Leeuwen, and J. Verron, Q.J.R. meteorolog.Soc. 131, 3561-3582, 2005.

  41. Tracer leakage from modeled Agulhas rings L. de Steur, P.J. van Leeuwen, and S.S. Drijfhout J. Phys. Oceanogr. 34, 1387-1399, 2004.

  42. A variance-minimizing filter for large-scale applications Van Leeuwen, P.J., Monthly Weather Review, 131, 2071-2084, 2003.

  43. A demonstration of ensemble-based assimilation methods with a layered OGCM from the perspective of operational ocean forecasting systems Brusdal,K., J.M. Brankart, G. Halberstadt, G. Evensen, P. Brasseur, P.J. van Leeuwen, E. Dombrowsky, and J. Verron. J. Marine Systems, 40-41, p253-289, 2003.

  44. A parallel data assimilation model for oceanographic observations , Van Hees F., A. van der Steen and P. J. van Leeuwen, Concurrency Computat.: Pract. Exper. 15, 1191-1204, 2003.

  45. Eddies and variability in the Mozambique Channel M.W. Schouten, W.P.M. de Ruijter, P.J. van Leeuwen, and H. Ridderinkhof Deep Sea Res. II, 50, 1987-2003, 2003.

  46. Observations of a young Agulhas ring, Astrid, during MARE in March 2000 Van Aken, H.M., A.K. van Veldhoven, C. Veth, W.P.M> de Ruijter, P.J. van Leeuwen, S.S. Drijfhout, C.P. Wittle, and M. Rouault Deep-Sea Res. II 50, 167-195, 2003.

  47. Modeling the initial fast sea-surface height decay of Agulhas ring 'Astrid' Drijfhout, S.S., C.A. Katsman, L. de Steur, P.C.F. van der Vaart, P.J. van Leeuwen, and C. Veth Deep-Sea Res. II 50, p299-319, 2003.

  48. Nonlinear Ensemble Data Assimilation for the Ocean in 'Recent Developments in data assimilation for atmosphere and ocean' ECMWF Seminar 8-12 September 2003, 265-286, 2003.

  49. Ensemble Kalman Filters, Sequential Importance Resampling, and beyond ECMWF workshop on the role of the upper ocean in medium and extended range forecasting, 13-15 November 2002, 46-56, 2003.

  50. Balanced ocean data assimilation near the equator Burgers,G., Magdalena A. Balmaseda, Femke C. Vossepoel, Geert Jan van Oldenborgh, Peter Jan van Leeuwen. J. Phys. Oceanogr. 32, p2509-2519, 2002.

  51. Upstream control of Agulhas Ring shedding Schouten, M.W., W.P.M. de Ruijter, P.J. van Leeuwen. J. Geophys. Res. 107, doi:10.1029/2001JC000804, 2002.

  52. An oceanic teleconnection between the equatorial and southern Indian Ocean Schouten, M.W., W.P.M. de Ruijter, P.J. van Leeuwen., and H.A. Dijkstra Geophys. Res. Lett. 29, doi:10.1029/2001GL014542, 2002.

  53. Effects of correcting salinity with altimeter measurements in an equatorial Pacific ocean model Vossepoel, F.C., G. Burgers, and P.J. van Leeuwen. J. Geophys. Res. 107, C12, 8001, doi:10.1029/2001JC000816, 2002.

  54. An ensemble smoother with error estimates. Van Leeuwen, P.J., Monthly Weather Rev., 129, 709-728, 2001.

  55. Reply to the commment on: Global OH trend inferred from methylchloroform measurements, Krol M., P.J. van Leeuwen and J. Lelieveld, J. Geophys. Res D, 106, 23159, 2001.

  56. An Ensemble Kalman smoother for nonlinear dynamics. Evensen, G., and P.J. van Leeuwen, Monthly Weather Review 128, p1852-1867, 2000.

  57. Translation, decay and splitting of Agulhas Rings in the southeastern Atlantic Ocean M.W. Schouten, W.P.M. de Ruijter and P.J. van Leeuwen J. Geophys. Res., 105, 21,913-21,925, 2000.

  58. Natal Pulses and the formation of Agulhas Rings P.J. van Leeuwen and W.P.M. de Ruijter J. Geophys. Res. Oceans, 105, 6425-6436, 2000.

  59. The time-mean circulation in the Agulhas region determined with the ensemble smoother, Van Leeuwen, P.J., J. Geophys. Res. 104, 1393-1404, 1999.

  60. Generation and evolution of Natal Pulses: solitary meanders in the Agulhas Current W.P.M. de Ruijter, P.J. van Leeuwen and J.R.E. Lutjeharms J. Phys. Oceanogr. 29, 3043-3055, 1999.

  61. Indian-Atlantic inter-ocean exchange: dynamics, estimation and impact W.P.M. de Ruijter, A. Biastoch, S.S. Drijfhout, J.R.E. Lutjeharms, R.P. Matano, T. Pichevin, P.J. van Leeuwen, W. Weijer J. Geophys. Res. 104, 20885-20910, 1999.

  62. Impact of interbasin exchange on the Atlantic overturning circulation W. Weijer, W.P.M. de Ruijter, H.A. Dijkstra, and P.J. van Leeuwen J. Phys. Oceanogr. 29, 2266-2284, 1999.

  63. Comment on 'Data assimilation using an Ensemble Kalman Filter technique' by P.L. Houtekamer and H.L. Mitchell, Van Leeuwen, P.J., Monthly Weather Rev. 127, 1374-1377, 1999.

  64. Global OH trend inferred from methylchloroform measurements, Krol M., P.J. van Leeuwen and J. Lelieveld, J. Geophys. Res D, 103, 10,697-10,711, 1998.

  65. Seasonal variability in the Agulhas retroflection R.P.Matano, C.G. Simionato, W.P.M. de Ruijter, P.J. van Leeuweni, D. Chelton and T. Strub Geophys. Res. Lett. 25, 4361-4364, 1998.

  66. A new method to improve the mean sea surface topography from altimeter observations R.C.V. Feron, W.P.M. de Ruijter and P.J. van Leeuwen J. Geophys. Res. 103, 1343-1362, 1998.

  67. On the analysis scheme in the Ensemble Kalman Filter, Burgers, G., P.J. van Leeuwen and G. Evensen, Monthly Weather Rev. 126, 1719-1724, 1998.

  68. A monitoring system for the Indian-Atlantic Ocean connection, Van Leeuwen, P.J., Proceedings first international conference on EuroGOOS, ed. Stel et al., Elsevier, Amsterdam, 596-602, 1997.

  69. Data assimilation and inverse methods in terms of a probabilistic formulation, Van Leeuwen, P.J., and G. Evensen, Monthly Weather Rev. 124, 2892-2913, 1996.

  70. Assimilation of Geosat altimeter data for the Agulhas Current using the Ensemble Kalman Filter with a quasi-geostrophic model Evensen E., and P.J. van Leeuwen Monthly Weather Rev. 24, 85-96, 1996.

  71. A new method for the generation of second-order random waves P.J. van Leeuwen and G. Klopman Ocean Engng., 23, 167-192, 1991. also Tech. University Delft Report no. 11-91.

  72. An efficient method for the reproduction for non-linear random waves G. Klopman and P.J. van Leeuwen Proc. 22nd Coastal Engng. Conf., Delft, ASCE. 1990.

  73. Low-frequency wave generation by breaking wind waves PhD thesis Van Leeuwen, P.J. Tech. University Delft, 1992.