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.
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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44 citations as recorded by crossref.
- Data assimilation for heterogeneous networks: The consensus set T. Sauer & S. Schiff https://doi.org/10.1103/PhysRevE.79.051909
- Data assimilation by delay‐coordinate nudging D. Pazó et al. https://doi.org/10.1002/qj.2732
- Model and observation‐error covariance matrix information in the physical nudging equations G. Conti et al. https://doi.org/10.1002/qj.4979
- Comment on “A unifying view of synchronization for data assimilation in complex nonlinear networks” [Chaos 27(12), 126802 (2017)] J. Tribbia https://doi.org/10.1063/1.5000522
- Implementation and validation of a supermodeling framework into Community Earth System Model version 2.1.5 W. Chapman et al. https://doi.org/10.5194/gmd-18-5451-2025
- The stability of adaptive synchronization of chaotic systems F. Sorrentino et al. https://doi.org/10.1063/1.3279646
- Projected Shadowing-Based Data Assimilation B. de Leeuw et al. https://doi.org/10.1137/17M1141163
- Analysis and computation of continuous data assimilation algorithms for Lorenz 63 system based on nonlinear nudging techniques Y. Du & M. Shiue https://doi.org/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. https://doi.org/10.1063/1.4712591
- Synchronicity from Synchronized Chaos G. Duane https://doi.org/10.3390/e17041701
- Generalized synchronization and coherent structures in spatially extended systems L. Basnarkov et al. https://doi.org/10.1016/j.chaos.2013.11.007
- Mathematical foundations of hybrid data assimilation from a synchronization perspective S. Penny https://doi.org/10.1063/1.5001819
- Multi-Model Communication and Data Assimilation for Mitigating Model Error and Improving Forecasts Y. Chen & S. Stechmann https://doi.org/10.1007/s11401-019-0157-1
- A pilot variational coupled reanalysis based on the CESAM climate model A. Köhl et al. https://doi.org/10.1002/qj.70092
- A multi-model ensemble method that combines imperfect models through learning L. van den Berge et al. https://doi.org/10.5194/esd-2-161-2011
- A concept of a prognostic system for personalized anti-tumor therapy based on supermodeling W. Dzwinel et al. https://doi.org/10.1016/j.procs.2017.05.013
- Exponential stability for a forecast-assimilation process with unstable dynamics D. Crisan et al. https://doi.org/10.1063/5.0241166
- Towards model-based control of Parkinson's disease S. Schiff https://doi.org/10.1098/rsta.2010.0050
- Estimation of communication-delays through adaptive synchronization of chaos F. Sorrentino & P. DeLellis https://doi.org/10.1016/j.chaos.2011.09.004
- Dynamically combining climate models to “supermodel” the tropical Pacific M. Shen et al. https://doi.org/10.1002/2015GL066562
- Synchronization of extended systems from internal coherence G. Duane https://doi.org/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. https://doi.org/10.1063/1.5001817
- Route to hyperchaos in a system of coupled oscillators with multistability N. McCullen & P. Moresco https://doi.org/10.1103/PhysRevE.83.046212
- “FORCE” learning in recurrent neural networks as data assimilation G. Duane https://doi.org/10.1063/1.4990730
- Analysis of parameter mismatches in the master stability function for network synchronization F. Sorrentino & M. Porfiri https://doi.org/10.1209/0295-5075/93/50002
- 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. https://doi.org/10.1140/epjp/s13360-020-01047-7
- A Framework for Interpreting Regularized State Estimation N. Sugiura et al. https://doi.org/10.1175/MWR-D-12-00231.1
- Efficient nonlinear data assimilation using synchronization in a particle filter F. Pinheiro et al. https://doi.org/10.1002/qj.3576
- Simulating climate with a synchronization-based supermodel F. Selten et al. https://doi.org/10.1063/1.4990721
- Synchronizing spatio-temporal chaos with imperfect models: A stochastic surface growth picture D. Pazó et al. https://doi.org/10.1063/1.4898385
- A hybrid nudging‐ensemble Kalman filter approach to data assimilation in WRF/DART L. Lei et al. https://doi.org/10.1002/qj.1939
- Attractor learning in synchronized chaotic systems in the presence of unresolved scales W. Wiegerinck & F. Selten https://doi.org/10.1063/1.4990660
- An ensemble framework for time delay synchronization F. Pinheiro et al. https://doi.org/10.1002/qj.3204
- Assimilation of ocean sea-surface height observations of mesoscale eddies J. Weiss & I. Grooms https://doi.org/10.1063/1.4986088
- Complete synchronization of chaotic atmospheric models by connecting only a subset of state space P. Hiemstra et al. https://doi.org/10.5194/npg-19-611-2012
- Introduction to focus issue: Synchronization in large networks and continuous media—data, models, and supermodels G. Duane et al. https://doi.org/10.1063/1.5018728
- Data assimilation as a nonlinear dynamical systems problem: Stability and convergence of the prediction-assimilation system A. Carrassi et al. https://doi.org/10.1063/1.2909862
- Mitigating Model Error via a Multimodel Method and Application to Tropical Intraseasonal Oscillations J. Torchinsky & S. Stechmann https://doi.org/10.1137/22M152551X
- An efficient continuous data assimilation algorithm for the Sabra shell model of turbulence N. Chen et al. https://doi.org/10.1063/5.0057421
- Supermodeling in Simulation of Melanoma Progression W. Dzwinel et al. https://doi.org/10.1016/j.procs.2016.05.396
- Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al. https://doi.org/10.1002/wcc.535
- On the problem of data assimilation by means of synchronization I. Szendro et al. https://doi.org/10.1029/2009JD012411
- Asymptotic behavior of the forecast–assimilation process with unstable dynamics D. Crisan & M. Ghil https://doi.org/10.1063/5.0105590
- Identical synchronization, with translation invariance, implies parameter estimation G. Duane et al. https://doi.org/10.1016/j.physleta.2007.06.059
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