Articles | Volume 13, issue 6
https://doi.org/10.5194/npg-13-601-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/npg-13-601-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
03 Nov 2006
Synchronicity in predictive modelling: a new view of data assimilation
G. S. Duane
National Center for Atmospheric Research, PO Box 3000, Boulder, CO 80307, USA
J. J. Tribbia
National Center for Atmospheric Research, PO Box 3000, Boulder, CO 80307, USA
J. B. Weiss
Department of Atmospheric and Oceanic Sciences, UCB 311, University of Colorado, Boulder, CO 80309, USA
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40 citations as recorded by crossref.
- Data assimilation for heterogeneous networks: The consensus set T. Sauer & S. Schiff 10.1103/PhysRevE.79.051909
- Data assimilation by delay‐coordinate nudging D. Pazó et al. 10.1002/qj.2732
- Comment on “A unifying view of synchronization for data assimilation in complex nonlinear networks” [Chaos 27(12), 126802 (2017)] J. Tribbia 10.1063/1.5000522
- The stability of adaptive synchronization of chaotic systems F. Sorrentino et al. 10.1063/1.3279646
- Projected Shadowing-Based Data Assimilation B. de Leeuw et al. 10.1137/17M1141163
- Analysis and computation of continuous data assimilation algorithms for Lorenz 63 system based on nonlinear nudging techniques Y. Du & M. Shiue 10.1016/j.cam.2020.113246
- Effect of discrete time observations on synchronization in Chua model and applications to data assimilation M. Nurujjaman et al. 10.1063/1.4712591
- Synchronicity from Synchronized Chaos G. Duane 10.3390/e17041701
- Generalized synchronization and coherent structures in spatially extended systems L. Basnarkov et al. 10.1016/j.chaos.2013.11.007
- Mathematical foundations of hybrid data assimilation from a synchronization perspective S. Penny 10.1063/1.5001819
- Multi-Model Communication and Data Assimilation for Mitigating Model Error and Improving Forecasts Y. Chen & S. Stechmann 10.1007/s11401-019-0157-1
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- Estimation of communication-delays through adaptive synchronization of chaos F. Sorrentino & P. DeLellis 10.1016/j.chaos.2011.09.004
- Dynamically combining climate models to “supermodel” the tropical Pacific M. Shen et al. 10.1002/2015GL066562
- Synchronization of extended systems from internal coherence G. Duane 10.1103/PhysRevE.80.015202
- Phase synchronization of baroclinic waves in a differentially heated rotating annulus experiment subject to periodic forcing with a variable duty cycle P. Read et al. 10.1063/1.5001817
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- Effects of density-affecting scalar on the onset of chaos in a simplified model of thermal convection: a nonlinear dynamical perspective S. Moon et al. 10.1140/epjp/s13360-020-01047-7
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- A hybrid nudging‐ensemble Kalman filter approach to data assimilation in WRF/DART L. Lei et al. 10.1002/qj.1939
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- An ensemble framework for time delay synchronization F. Pinheiro et al. 10.1002/qj.3204
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- Complete synchronization of chaotic atmospheric models by connecting only a subset of state space P. Hiemstra et al. 10.5194/npg-19-611-2012
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- Data assimilation as a nonlinear dynamical systems problem: Stability and convergence of the prediction-assimilation system A. Carrassi et al. 10.1063/1.2909862
- Mitigating Model Error via a Multimodel Method and Application to Tropical Intraseasonal Oscillations J. Torchinsky & S. Stechmann 10.1137/22M152551X
- An efficient continuous data assimilation algorithm for the Sabra shell model of turbulence N. Chen et al. 10.1063/5.0057421
- Supermodeling in Simulation of Melanoma Progression W. Dzwinel et al. 10.1016/j.procs.2016.05.396
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- On the problem of data assimilation by means of synchronization I. Szendro et al. 10.1029/2009JD012411
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- Identical synchronization, with translation invariance, implies parameter estimation G. Duane et al. 10.1016/j.physleta.2007.06.059
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