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


  • Oscar Díaz-Barriga Pontificia Universidad Católica del Perú
  • Miguel Nunez-del-Prado Universidad del Pacífico
  • Hugo Alatrista-Salas Universidad del Pacífico


Pattern mining, Information visualization, El Niño phenomenon


El Niño phenomenon starts with an increase in the temperature of the sea surface in the equatorial zone of the Pacific Ocean. This increasing 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 El Niño phenomenon. Our findings 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.


Download data is not yet available.



How to Cite

Díaz-Barriga, O., Nunez-del-Prado, M., & Alatrista-Salas, H. (2019). What do sequential patterns say about the "El Niño" phenomenon?. IEEE Latin America Transactions, 17(8), 1335–1341. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/432

Most read articles by the same author(s)