Reduced models of atmospheric low-frequency variability : Parameter estimation and comparative performance

  title={Reduced models of atmospheric low-frequency variability : Parameter estimation and comparative performance},
  author={K. Strounine and S. Kravtsovb and Daria Kondrashova and Michael Ghil},
  • K. Strounine, S. Kravtsovb, +1 author Michael Ghil
  • Published 2008
Low-frequency variability (LFV) of the atmosphere refers to its behavior on time scales of 10–100 days, longer than the life cycle of a mid-latitude cyclone but shorter than a season. This behavior is still poorly understood and hard to predict. The present study compares variousmodel reduction strategies that help in deriving simplified models of LFV. Three distinct strategies are applied here to reduce a fairly realistic, high-dimensional, quasigeostrophic, 3-level (QG3) atmospheric model to… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 112 references

An efficient description of the dynamics of the barotropic flow

F. M. Selten
J. Atmospheric Sci. 52 • 1995
View 11 Excerpts
Highly Influenced

Advanced data assimilation in strongly nonlinear dynamical systems

R. N. Miller, M. Ghil, F. Gauthiez
J. Atmospheric Sci. 51 • 1994
View 18 Excerpts
Highly Influenced

Toward a dynamical understanding of atmospheric weather regimes

J. Marshall, F. Molteni
J. Atmospheric Sci. 50 • 1993
View 6 Excerpts
Highly Influenced

An efficient algorithm for estimating noise covariances in distributed systems

D. P. Dee, S. E. Cohn, A. Dalcher, M. Ghil
IEEE Trans. Automat. Control AC-30 • 1985
View 5 Excerpts
Highly Influenced

A priori tests of a stochastic mode reduction strategy

A. Majdaa, I. Timofeyeva, E. Vanden-Eijndena
View 4 Excerpts
Highly Influenced

A two-layer model with empirical linear corrections and reduced order for studies of internal climate variability

U. Achatz, G. W. Branstator
J. Atmospheric Sci. 56 • 1999
View 5 Excerpts
Highly Influenced

Models for stochastic climate prediction.

Proceedings of the National Academy of Sciences of the United States of America • 1999
View 4 Excerpts
Highly Influenced

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