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Tellus A: Dynamic Meteorology and Oceanography Volume 63, 2011 - Issue 5

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Original Articles

The role of large-scale spatial patterns in the chaotic amplification of perturbations in a Lorenz’96 model

S. HerreraInstituto de Física de Cantabria (IFCA), CSIC-UC, 39005Santander, Spain;Correspondencee-mail: [email protected]

D. Paz óInstituto de Física de Cantabria (IFCA), CSIC-UC, 39005Santander, Spain;

J. Ferná NdezDepartment of Applied Mathematics and Computer Science, Universidad de Cantabria, 39005Santander, Spain

M. A. RodríGuezDepartment of Applied Mathematics and Computer Science, Universidad de Cantabria, 39005Santander, Spain

Pages 978-990 | Received 18 Jan 2011, Accepted 27 Jun 2011, Published online: 15 Dec 2016

Cite this article
https://doi.org/10.1111/j.1600-0870.2011.00545.x

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Articles from other publishers (13)

Sungju Moon & Jong-Jin Baik. (2021) Using the (3N)-dimensional generalized Lorenz systems as a testbed for data assimilation: The ensemble Kalman filter. Monthly Weather Review.
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Suraj Pawar & Omer San. (2021) Data assimilation empowered neural network parametrizations for subgrid processes in geophysical flows. Physical Review Fluids 6:5.
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Hoong C. Yeong, Ryne T. Beeson, N. Sri Namachchivaya & Nicolas Perkowski. (2020) Particle Filters with Nudging in Multiscale Chaotic Systems: With Application to the Lorenz ’96 Atmospheric Model. Journal of Nonlinear Science 30:4, pages 1519-1552.
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Colin Grudzien, Marc Bocquet & Alberto Carrassi. (2020) On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments. Geoscientific Model Development 13:4, pages 1903-1924.
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Mallory Carlu, Francesco Ginelli, Valerio Lucarini & Antonio Politi. (2019) Lyapunov analysis of multiscale dynamics: the slow bundle of the two-scale Lorenz 96 model. Nonlinear Processes in Geophysics 26:2, pages 73-89.
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Brent Giggins & Georg A. Gottwald. (2019) Stochastically perturbed bred vectors in multi‐scale systems. Quarterly Journal of the Royal Meteorological Society 145:719, pages 642-658.
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D. Pazó, A. Carrassi & J. M. López. (2016) Data assimilation by delay-coordinate nudging. Quarterly Journal of the Royal Meteorological Society 142:696, pages 1290-1299.
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Sebastian Schubert & Valerio Lucarini. (2015) Covariant Lyapunov vectors of a quasi‐geostrophic baroclinic model: analysis of instabilities and feedbacks. Quarterly Journal of the Royal Meteorological Society 141:693, pages 3040-3055.
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Hynek Bednář, Aleš Raidl & Jiři Mikšovský. (2015) Initial Error Growth and Predictability of Chaotic Low-dimensional Atmospheric Model. International Journal of Automation and Computing 11:3, pages 256-264.
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Massimo Cencini & Angelo Vulpiani. (2013) Finite size Lyapunov exponent: review on applications. Journal of Physics A: Mathematical and Theoretical 46:25, pages 254019.
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D Pazó, J M López & M A Rodríguez. (2013) On the angle between the first and second Lyapunov vectors in spatio-temporal chaos. Journal of Physics A: Mathematical and Theoretical 46:25, pages 254014.
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Alvaro Pascual, Francisco Valero, Maria Luisa Martín & Carlos García-Legaz. (2013) Spanish Extreme Winds and Their Relationships with Atlantic Large-Scale Atmospheric Patterns. American Journal of Climate Change 02:03, pages 23-35.
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Nishanth Lingala, N. Sri Namachchivaya, Nicolas Perkowski & Hoong C. Yeong. (2012) Particle filtering in high-dimensional chaotic systems. Chaos: An Interdisciplinary Journal of Nonlinear Science 22:4.
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The role of large-scale spatial patterns in the chaotic amplification of perturbations in a Lorenz’96 model

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The role of large-scale spatial patterns in the chaotic amplification of perturbations in a Lorenz’96 model

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