Quantifying downstream climate impacts of sea surface temperature patterns in the eastern tropical pacific using clustering

HIGHLIGHTS

• What: The aim of this paper is to apply hierarchical and k-means clustering to identify established off-equatorial and ENSO-related SSTA patterns in the Eastern Pacific from 1950 to 2021 and link those clusters back to their constituent member years. This study explores data from the 2◦ × 2◦ NOAA Extended Reconstructed Sea Surface Temperature (ERSST) Version 5 dataset, available monthly, beginning in January 1854 . In this study, SSTAs are evaluated over three-month periods associated with boreal spring (MAM), summer (JJA), fall (SON), and winter (DJF). To characterize SSTA patterns in the study area, hierarchical . . .
  

   

  

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