Improved variational methods in statistical data assimilation

  title={Improved variational methods in statistical data assimilation},
  author={Jingxin Ye and Nirag Kadakia and Paul Rozdeba and Henry D. I. Abarbanel and J. C. Quinn},
Data assimilation transfers information from an observed system to a physically based model system with state variables x(t). The observations are typically noisy, the model has errors, and the initial state x(t0) is uncertain: the data assimilation is statistical. One can ask about expected values of functions 〈G(X)〉 on the path X={x(t0), . . .,x(tm)} of the model state through the observation window tn={t0, . . ., tm}. The conditional (on the measurements) probability distribution P(X)= exp… CONTINUE READING
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Predicting the Future: Completing Models of Observed Complex

  • H. D. Abarbanel
  • 2013
Highly Influential
3 Excerpts

Data Assimilation: The Ensemble Kalman Filter

  • G. Evensen
  • 2009
Highly Influential
10 Excerpts

4D-Var and the butterfly effect: statistical four-dimensional data assimilation for a wide range of scales, Q

  • A. C. Lorenc, T. Payne
  • J. Roy. Meteorol. Soc.,
  • 2007
Highly Influential
5 Excerpts

Variational Assimilation of Meteorological Observations With the Adjoint Vorticity Equation, I: Theory, Q

  • O. Talagrand, P. Courtier
  • J. Roy. Meteorol. Soc.,
  • 1987
Highly Influential
8 Excerpts

Accurate state and parameter estimation in nonlinear systems with sparse observations

  • D. Rey, M. Eldridge, M. Kostuk, H. D. Abarbanel, J. SchumannBischoff, U. Parlitz
  • Phys. Lett. A,
  • 2014
1 Excerpt

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