Liu, Junjie, Fertig, Elana Judith, Li, Hong, Kalnay, Eugenia, Hunt, Brian R., Kostelich, Eric J., ...
This paper explores the potential of Local Ensemble Transform Kalman Filter (LETKF) by comparing the performance of LETKF with an operational 3D-Var assimilation system, Physical-Space Statistical...
Hunt, Brian R., Kostelich, Eric J., Szunyogh, Istvan
Data assimilation is an iterative approach to the problem of estimating the state of a dynamical system using both current and past observations of the system together with a model for the system's...
A Local Ensemble Kalman Filter for Atmospheric Data Assimilation (2002)
Ott, Edward, Hunt, Brian R., Szunyogh, Istvan, Zimin, Aleksey V., Kostelich, Eric J., Corazza, Matteo, ...
In this paper, we introduce a new, local formulation of the ensemble Kalman Filter approach for atmospheric data assimilation. Our scheme is based on the hypothesis that, when the Earth's surface is...
Optimal Targeting of Chaos (1999)
Erik M. Bollt, Eric J. Kostelich
Standard graph theoretic algorithms are applied to chaotic dynamical systems to identify orbits that are optimal relative to a prespecified cost function. We reduce the targeting problem to the...
The Prediction of Chaotic Time Series: a Variation on the Method of Analogues (1992)
Eric J. Kostelich, Daniel P. Lathrop
This paper describes a procedure for making short term predictions by examining trajectories on a reconstructed attractor that correspond to a dynamical feature of interest, namely, the trajectories...