Data Assimilation Methods

  1. A Localized Particle Filter for High-Dimensional Nonlinear Systems

    • Author: Jonathan Poterjoy

    • Journal: Monthly Weather Review (2016)

    • DOI: 10.1175/MWR-D-15-0163.1

    • Description: Presents a novel particle filtering approach that maintains non-Gaussian features while scaling efficiently to high-dimensional systems through localization

  2. Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter

    • Authors: Brian R. Hunt, Eric J. Kostelich, Istvan Szunyogh

    • Journal: Physica D: Nonlinear Phenomena (2007)

    • DOI: 10.1016/j.physd.2006.11.008

    • Description: Presents theoretical foundations and practical implementation of LETKF, demonstrating its efficiency for high-dimensional chaotic systems