What do sequential patterns say about the "el Niño" phenomenon?

Oscar Díaz-Barriga; Miguel Nunez-Del-Prado; Hugo Alatrista-Salas

doi:10.1109/TLA.2019.8932343

What do sequential patterns say about the "el Niño" phenomenon?

Oscar Díaz-Barriga, Miguel Nunez-Del-Prado, Hugo Alatrista-Salas

Universidad del Pacífico

Producción científica: Contribución a una revista › Artículo de revista › revisión exhaustiva

Resumen

El Niño phenomenon starts with an increase in the temperature of the sea surface in the equatorial zone of the Pacific Ocean. This increase is characterized by the arrival of a superficial mass of warm waters into the sea, which generates anomalous climate changes on land. These unusual events can be floods, droughts, intense rains, which endanger the urban population and infrastructure of cities. To be able to launch early warnings of possible catastrophic events in populated areas, it is necessary to know how and within how long the change in sea temperature impacts on continental characteristics. The present work describes a computational process based on techniques of extraction and visualization of sequential patterns to capture temporal variations of the variables describing the El Niño phenomenon. Results show the existence of correlations between the sea surface temperature and the flow of the rivers of the coast. These correlations can be used as monitoring tools for early warning releases.

Idioma original	Inglés
Número de artículo	8932343
Páginas (desde-hasta)	1335-1341
Número de páginas	7
Publicación	IEEE Latin America Transactions
Volumen	17
N.º	8
DOI	https://doi.org/10.1109/TLA.2019.8932343
Estado	Publicada - 1 ago. 2019

Nota bibliográfica

Funding Information:
Posteriormente, Kalra et al. [5] utilizaron Support Vector Machines (SVM) con el objetivo de mejorar los pronósticos de caudales en las cuencas de los ríos Gunnison y San Juan. Para ello se usa la información de los índices oceánicos-atmosféricos promedio anuales que consisten en: la Oscilación Decadal del Pacífico (ODP), la Oscilación del Atlántico Norte (OAN), la Oscilación Multidecadal del Atlántico (OMA), El Niño - Oscilación del Sur (ENSO) y la temperatura de la superficie del mar (TSM) para la región de Hondo en el período de 1906-2006.

Publisher Copyright:
© 2003-2012 IEEE.

Palabras clave

Data mining
El Niño phenomenon
Pattern visualization
Sequential pattern mining

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@article{6e3c9e2e2c224ae58906249b98feca8f,

title = "What do sequential patterns say about the {"}el Ni{\~n}o{"} phenomenon?",

abstract = "El Ni{\~n}o phenomenon starts with an increase in the temperature of the sea surface in the equatorial zone of the Pacific Ocean. This increase is characterized by the arrival of a superficial mass of warm waters into the sea, which generates anomalous climate changes on land. These unusual events can be floods, droughts, intense rains, which endanger the urban population and infrastructure of cities. To be able to launch early warnings of possible catastrophic events in populated areas, it is necessary to know how and within how long the change in sea temperature impacts on continental characteristics. The present work describes a computational process based on techniques of extraction and visualization of sequential patterns to capture temporal variations of the variables describing the El Ni{\~n}o phenomenon. Results show the existence of correlations between the sea surface temperature and the flow of the rivers of the coast. These correlations can be used as monitoring tools for early warning releases.",

keywords = "Data mining, El Ni{\~n}o phenomenon, Pattern visualization, Sequential pattern mining, Data mining, El Ni{\~n}o phenomenon, Pattern visualization, Sequential pattern mining",

author = "Oscar D{\'i}az-Barriga and Miguel Nunez-Del-Prado and Hugo Alatrista-Salas",

note = "Funding Information: Posteriormente, Kalra et al. [5] utilizaron Support Vector Machines (SVM) con el objetivo de mejorar los pron{\'o}sticos de caudales en las cuencas de los r{\'i}os Gunnison y San Juan. Para ello se usa la informaci{\'o}n de los {\'i}ndices oce{\'a}nicos-atmosf{\'e}ricos promedio anuales que consisten en: la Oscilaci{\'o}n Decadal del Pac{\'i}fico (ODP), la Oscilaci{\'o}n del Atl{\'a}ntico Norte (OAN), la Oscilaci{\'o}n Multidecadal del Atl{\'a}ntico (OMA), El Ni{\~n}o - Oscilaci{\'o}n del Sur (ENSO) y la temperatura de la superficie del mar (TSM) para la regi{\'o}n de Hondo en el per{\'i}odo de 1906-2006. Publisher Copyright: {\textcopyright} 2003-2012 IEEE.",

year = "2019",

month = aug,

day = "1",

doi = "10.1109/TLA.2019.8932343",

language = "English",

volume = "17",