TY - JOUR
T1 - What do sequential patterns say about the "el Niño" phenomenon?
AU - Díaz-Barriga, Oscar
AU - Nunez-Del-Prado, Miguel
AU - Alatrista-Salas, Hugo
N1 - Publisher Copyright:
© 2003-2012 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - 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.
AB - 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.
KW - Data mining
KW - El Niño phenomenon
KW - Pattern visualization
KW - Sequential pattern mining
UR - http://www.scopus.com/inward/record.url?scp=85076945828&partnerID=8YFLogxK
U2 - 10.1109/TLA.2019.8932343
DO - 10.1109/TLA.2019.8932343
M3 - Article
AN - SCOPUS:85076945828
SN - 1548-0992
VL - 17
SP - 1335
EP - 1341
JO - IEEE Latin America Transactions
JF - IEEE Latin America Transactions
IS - 8
M1 - 8932343
ER -