Objective Classification of Sea Surface Temperature Evolution diversity of ENSO Cycle

El Niño-Southern Oscillation (ENSO) is the most prominent interannual climate mode over the tropical Pacific, which is characterized by a periodic and phase-locked evolution of sea surface temperature anomalies (SSTA).From the perspective of ENSO cycle, this study objectively classified the SSTA evolution of ENSO from 1961 to 2021 into two results using K-means clustering method (KMA): 3 or 5 types of ENSO cycle.When it is classified into 3 types, the basic characteristics of ENSO cycle are warm-developing, warm-decaying, and cold-persistence.When it is classified into 5 types, the discrepancies of intensity and zonal distribution of the development and decay processes between super-strong and normal events are highlighted.To further explain these discrepancies, this study employed a KMA considering the Principal Component Analysis (Empirical Orthogonal Function).Based on the two EOF leading modes which reflects the zonal symmetric and asymmetric development modes, the zonally symmetric and asymmetric development processes of the ENSO cycle are divided.Combined with the KMA clustering analysis, it is further found that zonally asymmetric development mode together with the zonally consistent development mode jointly lead to the zonal asymmetric development speed of ENSO cycle.Reconstruction of the zonally homogeneous and asymmetric evolution modes of ENSO reveals that wind and thermocline thickness anomalies may be key factors controlling the zonal asymmetric evolution of SSTA.This study objectively classified different types of ENSO evolution, providing reference for climate dynamics and impacts of ENSO diversity.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-12-01
DOI
https://doi.org/10.7522/j.issn.1000-0534.2024.00026
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Objective Classification of Sea Surface Temperature Evolution diversity of ENSO Cycle

1 citations
SHILAP Revista de lepidopterología
Climate variability and models
0.28
article

Objective Classification of Sea Surface Temperature Evolution diversity of ENSO Cycle

article en
1 citations

Abstract

El Niño-Southern Oscillation (ENSO) is the most prominent interannual climate mode over the tropical Pacific, which is characterized by a periodic and phase-locked evolution of sea surface temperature anomalies (SSTA).From the perspective of ENSO cycle, this study objectively classified the SSTA evolution of ENSO from 1961 to 2021 into two results using K-means clustering method (KMA): 3 or 5 types of ENSO cycle.When it is classified into 3 types, the basic characteristics of ENSO cycle are warm-developing, warm-decaying, and cold-persistence.When it is classified into 5 types, the discrepancies of intensity and zonal distribution of the development and decay processes between super-strong and normal events are highlighted.To further explain these discrepancies, this study employed a KMA considering the Principal Component Analysis (Empirical Orthogonal Function).Based on the two EOF leading modes which reflects the zonal symmetric and asymmetric development modes, the zonally symmetric and asymmetric development processes of the ENSO cycle are divided.Combined with the KMA clustering analysis, it is further found that zonally asymmetric development mode together with the zonally consistent development mode jointly lead to the zonal asymmetric development speed of ENSO cycle.Reconstruction of the zonally homogeneous and asymmetric evolution modes of ENSO reveals that wind and thermocline thickness anomalies may be key factors controlling the zonal asymmetric evolution of SSTA.This study objectively classified different types of ENSO evolution, providing reference for climate dynamics and impacts of ENSO diversity.

SHILAP Revista de lepidopterología
Nanjing University of Information Science and Technology (CN), Ministry of Education (BD)
Climate action
Openalex Percentile: Top 38%
Climate variability and models
0.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Objective Classification of Sea Surface Temperature Evolution diversity of ENSO Cycle · SHILAP Revista de lepidopterología (2024) | TGRS Research Map | TGRS