Removal of Content Advisory - April 2024

Advisory to Ensemble Kalman Filter (EnKF) users: As of the beginning of April 2024, all support assets for Ensemble Kalman Filter (EnKF) will be removed from the DTC website. Users should download all reference materials of interest prior to April 2024.

Ensemble Kalman Filter System (EnKF) | Documentation

EnKF User's Guide

  • EnKF version 1.3 User's Guide (Released on 11/06/18) [pdf] [html]

This EnKF system is using the Gridpoint Statistical Interpolation (GSI) (variational) data assimilation system for its observation operator. The corresponding GSI User's Guide can be found at the Community GSI User's Page: GSI Documentation

  • Citation

    Liu, H., M. Hu, G. Ge, D. Stark, H. Shao, K. Newman, and J. Whitaker, 2018: Ensemble Kalman Filter (EnKF) User's Guide Version 1.3. Developmental Testbed Center. Available at https://dtcenter.org/community-code/ensemble-kalman-filter-system-enkf/documentation, 80 pp. 

EnKF References

  • Jeffrey L. Anderson and Nancy Collins, 2007: Scalable Implementations of Ensemble Filter Algorithms for Data Assimilation. J. Atmos. Oceanic Technol., 24, 1452-1463.
  • B. Hunt, E. Kostelich, L. Szunyogh, 2007: Efficient Data Assimilation for Spatiotemporal Chaos: A Local Ensemble Transform Kalman Filter. Physica D, 230, 112-126.
  • Jeffrey S. Whitaker and Thomas M. Hamill, 2002: Ensemble Data Assimilation without Perturbed Observations. Monthly Weather Review, 130, 1913-1924.