Assessing the predictability of meteorological variables via spatial correlations using echo state networks

Shihori Koyama, Daisuke Inoue, Hiroaki Yoshida, Kazuyuki Aihara, Gouhei Tanaka

Open source

DOI: 10.1063/5.0324305
Published: 2026-08-01
Container: Chaos: An Interdisciplinary Journal of Nonlinear Science
Publisher: AIP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1063/5.0324305,
  title = {Assessing the predictability of meteorological variables via spatial correlations using echo state networks},
  author = {Shihori Koyama and Daisuke Inoue and Hiroaki Yoshida and Kazuyuki Aihara and Gouhei Tanaka},
  year = {2026},
  journal = {Chaos: An Interdisciplinary Journal of Nonlinear Science},
  doi = {10.1063/5.0324305},
  url = {https://doi.org/10.1063/5.0324305}
}

RIS

TY  - JOUR
TI  - Assessing the predictability of meteorological variables via spatial correlations using echo state networks
AU  - Shihori Koyama
AU  - Daisuke Inoue
AU  - Hiroaki Yoshida
AU  - Kazuyuki Aihara
AU  - Gouhei Tanaka
PY  - 2026
JO  - Chaos: An Interdisciplinary Journal of Nonlinear Science
DO  - 10.1063/5.0324305
UR  - https://doi.org/10.1063/5.0324305
ER  -

APA

Koyama, S., Inoue, D., Yoshida, H., Aihara, K., & Tanaka, G. (2026). Assessing the predictability of meteorological variables via spatial correlations using echo state networks. Chaos: An Interdisciplinary Journal of Nonlinear Science. https://doi.org/10.1063/5.0324305

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crossref · retrieved 2026-09-26T13:44:26.053Z