Articles | Volume 10, issue 3
https://doi.org/10.5194/esd-10-555-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-10-555-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Sep 2019
Research article |
| 19 Sep 2019
| 19 Sep 2019
Minimal dynamical systems model of the Northern Hemisphere jet stream via embedding of climate data
Davide Faranda
CORRESPONDING AUTHOR
Laboratoire des Sciences du Climat et de l'Environnement, UMR 8212 CEA-CNRS-UVSQ, Université Paris-Saclay, IPSL, 91191 Gif-sur-Yvette, France
London Mathematical Laboratory, 8 Margravine Gardens, London, W6 8RH, UK
Yuzuru Sato
RIES/Department of Mathematics, Hokkaido University, Kita 20 Nichi 10, Kita-ku, Sapporo 001-0020, Japan
London Mathematical Laboratory, 8 Margravine Gardens, London, W6 8RH, UK
Gabriele Messori
Department of Earth Sciences, Uppsala University, 752 33 Uppsala, Sweden
Department of Meteorology and Bolin Centre for Climate Research, Stockholm University, 106 91 Stockholm, Sweden
Nicholas R. Moloney
Department of Mathematics and Statistics, University of Reading, Reading, RG6 6AX, UK
London Mathematical Laboratory, 8 Margravine Gardens, London, W6 8RH, UK
Pascal Yiou
Laboratoire des Sciences du Climat et de l'Environnement, UMR 8212 CEA-CNRS-UVSQ, Université Paris-Saclay, IPSL, 91191 Gif-sur-Yvette, France
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Cited
16 citations as recorded by crossref.
- Modified Three-Dimensional Jet Indices and Their Application to East Asia H. Li et al. 10.3390/atmos10120776
- A dynamical systems characterization of atmospheric jet regimes G. Messori et al. 10.5194/esd-12-233-2021
- How many modes are needed to predict climate bifurcations? Lessons from an experiment B. Dubrulle et al. 10.5194/npg-29-17-2022
- Atmospheric jet stream variability reflects vegetation activity in Europe G. Messori et al. 10.1016/j.agrformet.2022.109008
- Synergistic effects of El Niño–Southern Oscillation and the Indian Ocean Dipole on Middle Eastern subseasonal precipitation variability and predictability A. Hochman & H. Gildor 10.1002/qj.4903
- Dynamics and predictability of cold spells over the Eastern Mediterranean A. Hochman et al. 10.1007/s00382-020-05465-2
- Sampling Hyperspheres via Extreme Value Theory: Implications for Measuring Attractor Dimensions F. Pons et al. 10.1007/s10955-020-02573-5
- Statistical performance of local attractor dimension estimators in non-Axiom A dynamical systems F. Pons et al. 10.1063/5.0152370
- Decrease of the spatial variability and local dimension of the Euro-Atlantic eddy-driven jet stream with global warming R. Noyelle et al. 10.1007/s00382-023-07022-z
- Technical note: Characterising and comparing different palaeoclimates with dynamical systems theory G. Messori & D. Faranda 10.5194/cp-17-545-2021
- Diagnosing concurrent drivers of weather extremes: application to warm and cold days in North America D. Faranda et al. 10.1007/s00382-019-05106-3
- Extreme value distributions of observation recurrences T. Caby et al. 10.1088/1361-6544/abaff1
- A new view of heat wave dynamics and predictability over the eastern Mediterranean A. Hochman et al. 10.5194/esd-12-133-2021
- El Niño and droughts in Southeast Asia: A stochastic-chaotic modeling approach D. Faranda et al. 10.1103/PhysRevE.111.064209
- The hammam effect or how a warm ocean enhances large scale atmospheric predictability D. Faranda et al. 10.1038/s41467-019-09305-8
- On the Computation of the Extremal Index for Time Series T. Caby et al. 10.1007/s10955-019-02423-z
14 citations as recorded by crossref.
- Modified Three-Dimensional Jet Indices and Their Application to East Asia H. Li et al. 10.3390/atmos10120776
- A dynamical systems characterization of atmospheric jet regimes G. Messori et al. 10.5194/esd-12-233-2021
- How many modes are needed to predict climate bifurcations? Lessons from an experiment B. Dubrulle et al. 10.5194/npg-29-17-2022
- Atmospheric jet stream variability reflects vegetation activity in Europe G. Messori et al. 10.1016/j.agrformet.2022.109008
- Synergistic effects of El Niño–Southern Oscillation and the Indian Ocean Dipole on Middle Eastern subseasonal precipitation variability and predictability A. Hochman & H. Gildor 10.1002/qj.4903
- Dynamics and predictability of cold spells over the Eastern Mediterranean A. Hochman et al. 10.1007/s00382-020-05465-2
- Sampling Hyperspheres via Extreme Value Theory: Implications for Measuring Attractor Dimensions F. Pons et al. 10.1007/s10955-020-02573-5
- Statistical performance of local attractor dimension estimators in non-Axiom A dynamical systems F. Pons et al. 10.1063/5.0152370
- Decrease of the spatial variability and local dimension of the Euro-Atlantic eddy-driven jet stream with global warming R. Noyelle et al. 10.1007/s00382-023-07022-z
- Technical note: Characterising and comparing different palaeoclimates with dynamical systems theory G. Messori & D. Faranda 10.5194/cp-17-545-2021
- Diagnosing concurrent drivers of weather extremes: application to warm and cold days in North America D. Faranda et al. 10.1007/s00382-019-05106-3
- Extreme value distributions of observation recurrences T. Caby et al. 10.1088/1361-6544/abaff1
- A new view of heat wave dynamics and predictability over the eastern Mediterranean A. Hochman et al. 10.5194/esd-12-133-2021
- El Niño and droughts in Southeast Asia: A stochastic-chaotic modeling approach D. Faranda et al. 10.1103/PhysRevE.111.064209
Latest update: 11 Jul 2025
Short summary
We show how the complex dynamics of the jet stream at midlatitude can be described by a simple mathematical model. We match the properties of the model to those obtained by the jet data derived from observations.
We show how the complex dynamics of the jet stream at midlatitude can be described by a simple...
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