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Tellus A: Dynamic Meteorology and Oceanography Volume 59, 2007 - Issue 3
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Original Articles

An efficient method for recovering Lyapunov vectors from singular vectors

Christopher L. WolfeCollege of Oceanic and Atmospheric Sciences, Oregon State University, 104 COAS Admin. Bldg., Corvallis,OR97331-5503,USACorrespondence[email protected]
&
Roger M. SamelsonCollege of Oceanic and Atmospheric Sciences, Oregon State University, 104 COAS Admin. Bldg., Corvallis,OR97331-5503,USA
Pages 355-366 | Received 24 May 2006, Accepted 02 Feb 2007, Published online: 15 Dec 2016

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Marc Bocquet & Alberto Carrassi. (2017) Four-dimensional ensemble variational data assimilation and the unstable subspace. Tellus A: Dynamic Meteorology and Oceanography 69:1.
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S. Herrera, D. Paz ó, J. Ferná Ndez & M. A. RodríGuez. (2011) The role of large-scale spatial patterns in the chaotic amplification of perturbations in a Lorenz’96 model. Tellus A: Dynamic Meteorology and Oceanography 63:5, pages 978-990.
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Gene-Hua Crystalng, Dennis Mclaughlin, Dara Entekhabi & Adel Ahanin. (2011) The role of model dynamics in ensemble Kalman filter performance for chaotic systems. Tellus A: Dynamic Meteorology and Oceanography 63:5, pages 958-977.
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Diego Pazó, Miguel A. Rodríguez & Juan M. López,. (2010) Spatio-temporal evolution of perturbations in ensembles initialized by bred, Lyapunov and singular vectors. Tellus A: Dynamic Meteorology and Oceanography 62:1, pages 10-23.
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