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Detalhes Referência

Tipo
Artigos em Revista

Tipo de Documento
Artigo Completo

Título
Causal dependencies and Shannon entropy budget: Analysis of a reduced‐order atmospheric model

Participantes na publicação
Stéphane Vannitsem (Author)
Carlos A. Pires (Author)
Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749–016, Lisboa, Portugal
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA
Dep. Engenharia Geográfica, Geofísica e Energia
Dep. Engenharia Geográfica, Geofísica e Energia
IDL
IDL
David Docquier (Author)

Resumo
The information entropy budget and the rate of information transfer between variables is studied in the context of a nonlinear reduced-order atmospheric model. The key ingredients of the dynamics are present in this model; namely, the baroclinic instability, the instability related to the presence of an orography, the dissipation related to the surface friction, and the large-scale meridional imbalance of energy. For the parameters chosen, the solutions of this system display a chaotic dynamics reminiscent of the large-scale atmospheric dynamics in the extratropics. The detailed information entropy budget analysis of this system reveals that the linear rotation terms play a minor role in the generation of uncertainties compared with the orography and the surface friction. Additionally, the dominant contribution comes from the nonlinear advection terms, and their decomposition in synergetic (covariability) and single (impact of each single variable on the target one) components reveals that for some variables the covariability dominates the information transfer. The estimation of the rate of information transfer based on time series is also discussed, and an extension of the Liang's approach to nonlinear observables is proposed.

Data de Submissão/Pedido
2024-03-29
Data de Aceitação
2024-06-17
Data de Publicação
2024-07-26

Instituição
Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749–016, Lisboa, Portugal

Suporte
Quarterly Journal of the Royal Meteorological Society

Identificadores da Publicação
ISSN - 0035-9009

Editora
Wiley

Número de Páginas
20

Identificadores do Documento
DOI - https://doi.org/10.1002/qj.4805
URL - http://dx.doi.org/10.1002/qj.4805

Identificadores de Qualidade
SCOPUS Q1 (2023) - 16.8 - Atmospheric Science
SCIMAGO Q1 (2022) - 3.26 - Atmospheric Science
SCIMAGO Q1 (2022) - 3.26 - Atmospheric Science


Exportar referência

APA
Stéphane Vannitsem, Carlos A. Pires, David Docquier, (2024). Causal dependencies and Shannon entropy budget: Analysis of a reduced‐order atmospheric model. Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009. eISSN . http://dx.doi.org/10.1002/qj.4805

IEEE
Stéphane Vannitsem, Carlos A. Pires, David Docquier, "Causal dependencies and Shannon entropy budget: Analysis of a reduced‐order atmospheric model" in Quarterly Journal of the Royal Meteorological Society, 2024. 10.1002/qj.4805

BIBTEX
@article{61751, author = {Stéphane Vannitsem and Carlos A. Pires and David Docquier}, title = {Causal dependencies and Shannon entropy budget: Analysis of a reduced‐order atmospheric model}, journal = {Quarterly Journal of the Royal Meteorological Society}, year = 2024, }