Articles | Volume 14, issue 6
https://doi.org/10.5194/esd-14-1125-2023
© Author(s) 2023. 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-14-1125-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Nov 2023
Research article |
| 10 Nov 2023
| 10 Nov 2023
Nonlinear time series analysis of coastal temperatures and El Niño–Southern Oscillation events in the eastern South Pacific
Berenice Rojo-Garibaldi
CORRESPONDING AUTHOR
Instituto de Ciencias Físicas, Universidad Nacional Autónoma de México, Av. Universidad s/n, Col. Chamilpa, Cuernavaca, Morelos, 62210, Mexico
Manuel Contreras-López
Facultad de Ingeniería y Centro de Estudios Avanzados, Universidad de Playa Ancha, Playa Ancha 850, Valparaíso, Chile
Simone Giannerini
Dipartimento di Scienze Statistiche “Paolo Fortunati”, Università di Bologna, Via delle Belle Arti 41, Bologna, 40126, Italy
David Alberto Salas-de-León
Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Av. Universidad 3000, Col. Copilco, México, 04510, Mexico
Verónica Vázquez-Guerra
Posgrado de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Av. Universidad 3000, Col. Copilco, México, 04510, Mexico
Julyan H. E. Cartwright
CORRESPONDING AUTHOR
Instituto Andaluz de Ciencias de la Tierra, CSIC–Universidad de Granada,Armilla, Granada, 18100, Spain
Instituto Carlos I de Física Teórica y Computacional, Universidad de Granada, Armilla, 18071, Spain
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Hurricanes are complex systems that carry large amounts of energy. Its impact produces, most of the time, natural disasters involving the loss of human lives and of materials and infrastructure that is accounted for in billions of US dollars. Not everything is negative as hurricanes are the main source of rainwater for the regions where they develop. In this study we make a nonlinear analysis of the time series obtained from 1749 to 2012 of the hurricane occurrence in the Gulf of Mexico.
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Hurricanes are complex systems that carry large amounts of energy. Its impact produces, most of the time, natural disasters involving the loss of human lives and of materials and infrastructure that is accounted for in billions of US dollars. Not everything is negative as hurricanes are the main source of rainwater for the regions where they develop. In this study we make a nonlinear analysis of the time series obtained from 1749 to 2012 of the hurricane occurrence in the Gulf of Mexico.
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Weather persistence on sub-seasonal to seasonal timescales: a methodological review
Alexandre Tuel and Olivia Martius
Earth Syst. Dynam., 14, 955–987, https://doi.org/10.5194/esd-14-955-2023, https://doi.org/10.5194/esd-14-955-2023, 2023
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Weather persistence on sub-seasonal to seasonal timescales has been a topic of research since the early days of meteorology. Stationary or recurrent behavior are common features of weather dynamics and are strongly related to fundamental physical processes, weather predictability and surface weather impacts. In this review, we propose a typology for the broad concepts related to persistence and discuss various methods that have been used to characterize persistence in weather data.
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Short summary
Our study focuses on Chile, which is affected by the prevailing ocean currents, upwellings and El Niño; these generate the weather in Chile. That is why we conducted a study on the dynamics of this system using spectral and nonlinear analysis techniques. We obtained periodicities related to internal and external forcing; we find that the dynamics is not chaotic but nonlinear. Finally, the northern part presents a strong correlation between ONI and LLE due to regional characteristics.
Our study focuses on Chile, which is affected by the prevailing ocean currents, upwellings and...
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