Hurricanes in the Gulf of Mexico and the Caribbean Sea and their relationship with sunspots

Rojo-Garibaldi, Berenice; Salas‐de‐León, David Alberto; Sánchez, Norma Leticia; Monreal‐Gómez, María Adela

doi:10.1016/j.jastp.2016.08.007

Cited by 8 publications

(8 citation statements)

References 37 publications

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“…This was done in order to avoid counting more than one specific hurricane reported in different places within a short period time; to do this, we followed the proposed method by Rojo-Garibaldi et al (2016). …”

Section: Data Set Descriptionmentioning

confidence: 99%

“…According to Rojo-Garibaldi et al (2016), the series of hurricanes which had spectral analyzes carried out presented strong periodicities that correspond to sunspots, which are believed to have caused the periodic behavior mentioned above. According to Zeng et al (1990), the spectral power analysis is often used to distinguish a chaotic or quasi-periodic behavior of periodic structures and to identify different periods embedded in a chaotic signal.…”

Section: Data Reduction and Proceduresmentioning

confidence: 99%

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Nonlinear analysis of the occurrence of hurricanes in the Gulf of Mexico and the Caribbean Sea

Rojo-Garibaldi

Salas‐de‐León

Monreal‐Gómez

et al. 2018

Nonlin. Processes Geophys.

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Abstract. Hurricanes are complex systems that carry large amounts of energy. Their impact often produces natural disasters involving the loss of human lives and materials, such as infrastructure, valued at billions of US dollars. However, not everything about hurricanes is negative, as hurricanes are the main source of rainwater for the regions where they develop. This study shows a nonlinear analysis of the time series of the occurrence of hurricanes in the Gulf of Mexico and the Caribbean Sea obtained from 1749 to 2012. The construction of the hurricane time series was carried out based on the hurricane database of the North Atlantic basin hurricane database (HURDAT) and the published historical information. The hurricane time series provides a unique historical record on information about ocean-atmosphere interactions. The Lyapunov exponent indicated that the system presented chaotic dynamics, and the spectral analysis and nonlinear analyses of the time series of the hurricanes showed chaotic edge behavior. One possible explanation for this chaotic edge is the individual chaotic behavior of hurricanes, either by category or individually regardless of their category and their behavior on a regular basis.

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Section: Data Set Descriptionmentioning

confidence: 99%

Section: Data Reduction and Proceduresmentioning

confidence: 99%

Nonlinear analysis of the occurrence of hurricanes in the Gulf of Mexico and the Caribbean Sea

Rojo-Garibaldi

Salas‐de‐León

Monreal‐Gómez

et al. 2018

Nonlin. Processes Geophys.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Historical hurricanes were included only if they were reported in two or more databases and met both of the following criteria: the reported hurricanes that touched land and those that remained in the ocean; on the other hand, the followed hurricanes were studied considering their average duration and their maximum time (9 and 19 days, respectively). This was done in order to avoid counting more than one specific hurricane reported in different places within a short period time; to do this, we followed the proposed method by Rojo-Garibaldi et al (2016).…”

Section: Data Set Descriptionmentioning

confidence: 99%

“…Our results were not easy to interpret because the series presented certain periodic characteristics in an oscillatory fashion and simultaneously showed chaotic behavior. According to Rojo-Garibaldi et al (2016), the series of hurricanes which had spectral analyzes carried out presented strong periodicities that correspond to sunspots, which are believed to have caused the periodic behavior mentioned above. According to Zeng et al (1990), the spectral power analysis is often used to distinguish a chaotic or quasi-periodic behavior of periodic structures and to identify different periods embedded in a chaotic signal.…”

Section: Data Reduction and Proceduresmentioning

confidence: 99%

Answers to comments of referee 2

Salas‐de‐León¹

2018

Preprint

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Answers to comments of referee 2Concerning the manuscript itself, I am not a native English speaker, but in my opinion the English needs some revision. The Results section is difficult to follow. The amount of information is huge and sometimes it seems that parameters are calculated without rhyme or reason An apology for the English version of the manuscript, the manuscript was reviewed by an American English speaker. Once the modifications suggested by the reviewers C1

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“…Only historical hurricanes that were reported in two or more databases were considered valid; on the other hand, the hurricane trajectory was followed to avoid counting, more than, once a specific hurricane that was reported in different places within a very short time. This was done in order to avoid overcounting the number of hurricanes; to do this, we follow the proposed method by Rojo-Garibaldi et al (2016).…”

Section: Data Set Descriptionmentioning

confidence: 99%

Nonlinear analysis of the occurrence of hurricanes in the Gulf of Mexico and the Caribbean Sea

Rojo-Garibaldi¹,

Salas‐de‐León²,

Monreal‐Gómez³

et al. 2017

Preprint

Self Cite

View full text Add to dashboard Cite

Abstract. Hurricanes are complex systems that carry large amounts of energy. Their impact produces, the majority of the time, natural disasters involving the loss of human lives and of materials and infrastructure in billions of US dollars. However, not everything is negative, as hurricanes are the main source of rainwater for the regions where they develop. In this study, we perform a nonlinear analysis of the time series obtained from 1749 to 2012 of the occurrence of hurricanes in the Gulf of Mexico and the Caribbean Sea. The construction of the hurricane time series was carried out based on the hurricane database of The North Atlantic-basin Hurricane Database (HURDAT), and the published historical information. The Lyapunov exponent indicated that the system presented chaotic dynamics, and the time-series’ spectral analysis along with the nonlinear analysis of the hurricanes time series showed chaotic edge behavior. One possible explanation for this edge is the individual chaotic behavior of hurricanes, either by category or individually, regardless of their category, and their behavior on a regular basis.

show abstract

Hurricanes in the Gulf of Mexico and the Caribbean Sea and their relationship with sunspots

Cited by 8 publications

References 37 publications

Nonlinear analysis of the occurrence of hurricanes in the Gulf of Mexico and the Caribbean Sea

Nonlinear analysis of the occurrence of hurricanes in the Gulf of Mexico and the Caribbean Sea

Answers to comments of referee 2

Nonlinear analysis of the occurrence of hurricanes in the Gulf of Mexico and the Caribbean Sea

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