A Method for Assimilation of Lagrangian Data

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Lagrangian data assimilation for river hydraulics simulations (2006, unknown): “In oceanography, data assimilation of drifting buoys positions has been experimentally used to improve numerical ocean models, either using Kalman filter [3,14,23] or variational based methods (see [12] for a shallow water model and more recently [21] for a primitive equations circulation model of t”
Sampling the posterior: An approach to non-Gaussian data assimilation (2007, methodology): “009 necessarily fail (see [21,35]) and it will be necessary to use a Bayesian approach, such as the one described here.”
Data assimilation: Mathematical and statistical perspectives (2008, background): “The papers [13, 14] were the first to extend data assimilation to Lagrangian data in a systematic fashion.”
Bayesian inverse problems for functions and applications to fluid mechanics (2009, background): “See also the papers [50, 38, 47, 54] for some representative examples related to the specific applied problems that we will consider later in this paper.”
Inverse problems: A Bayesian perspective (2010, methodology): “The systematic treatment of Lagrangian data assimilation is developed in the sequence of papers by Ide et al. (2002), Kuznetsov et al. (2003), Salman, Kuznetsov, Jones and Ide (2006) and Salman, Ide and Jones (2008) with recent application in Vernieres, Ide and Jones (2010).”