@article{PAR00029745,
  title = {{T}he diverse impacts of {E}l {N}ino and {L}a {N}ina events over the {S}outh {P}acific and in {F}rench {P}olynesia},
  author = {{P}agli, {B}astien and {I}zumo, {T}akeshi and {C}ravatte, {S}ophie and {H}opuare, {M}. and {M}artinoni-{L}apierre, {S}. and {L}aurent, {V}. and {M}enk{\`e}s, {C}hristophe and {M}onselesan, {D}. and {A}uffray, {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{E}l {N}iño-{S}outhern {O}scillation ({ENSO}) is the primary driver of global climate interannual variability, with {E}l {N}iño and {L}a {N}iña events disrupting atmospheric and oceanic conditions worldwide. {T}hese events form an '{ENSO} continuum,' from central {P}acific to eastern {P}acific events, each leading to different impacts. {U}nderstanding the diversity of these impacts is crucial for the vast but understudied south-central {P}acific and {F}rench {P}olynesia ({FP}). {H}ere, we use a multivariate cluster classification approach on relative sea surface temperature ({RSST}), precipitation, and zonal wind, combined with an atmospheric model ensemble forced by observed sea surface temperature ({SST}). {W}e show that {ENSO} intensity and spatial pattern diversity are the main drivers of {FP} interannual climate variability. {W}ith opposite {SST}/air temperature anomalies between northeastern and southwestern {FP}, {FP} has a pivotal position. {P}recipitation anomalies are highly dependent on {ENSO} strength and spatial pattern and are primarily driven by anomalous convergence of large-scale climatological moisture. {N}otably, the extreme eastern {P}acific {E}l {N}iño events of 1982/83 and 1997/98 caused severe precipitation in northeastern {FP}, while the strong mixed (central-eastern {P}acific) 2015/16 {E}l {N}iño had a different {S}outh {P}acific convergence zone position and more moderate precipitation over northeastern {FP}. {T}he 2010/11 and 2021/22 multiyear {L}a {N}iña events form their own cluster and stand out with significant drying over the south-central {P}acific. {W}e also use these clustering results to evaluate and discuss the effectiveness of existing indices in describing {ENSO} impacts over {FP}.},
  keywords = {{T}ropics {ENSO} {I}n situ atmospheric observations ; {S}atellite observations ; {POLYNESIE} {FRANCAISE} ; {PACIFIQUE} {SUD}},
  booktitle = {},
  journal = {{J}ournal of {C}limate},
  volume = {38},
  numero = {12},
  pages = {2681--2701},
  ISSN = {0894-8755},
  year = {2025},
  DOI = {10.1175/jcli-d-24-0408.1},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00029745},
}