@article{fdi:010070918,
  title = {{S}ea surface temperature patterns in the {T}ropical {A}tlantic : principal component analysis and nonlinear principal component analysis},
  author = {{K}enfack, {C}. {S}. and {M}kankam, {F}. {K}. and {A}lory, {G}a{\¨e}l and {P}enhoat, {Y}ves du and {H}ounkonnou, {M}. {N}. and {V}ondou, {D}. {A}. and {N}for, {B}. {G}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he tropical {A}tlantic {O}cean exhibits several modes of interannual variability such as the equatorial (or {A}tlantic {N}ino) mode, and meridional (or {A}tlantic dipole) mode. {N}onlinear principal component analysis ({NLPCA}) is applied on detrended monthly {S}ea {S}urface {T}emperature {A}nomaly ({SSTA}) data from the tropical {A}tlantic {O}cean (30 degrees {W} - 20 degrees {E}, 26 degrees {S} - 22 degrees {N}) for the period 1950 to 2005. {T}he objective is to compare the modes extracted through this statistical analysis to those previously extracted through simpler principal component analysis ({PCA}). {I}t is shown that the first {NLPCA} mode explains 38% of the total {SST} variance compared to 36% by the first {PCA} while the second {NLPCA} mode explains 22% of the total {SST} variance compared to 16% by the second {PCA}. {T}he first two {NLPCA} modes marginally explain more of the total data variance than the first two {PCA} modes. {O}ur analysis confirms results from previous studies and, in addition, shows that the {A}tlantic {E}l {N}ino structure is spatially more stable than the {A}tlantic dipole structure.},
  keywords = {{PCA} ; {NLPCA} ; {SST} ; {T}ropical {O}cean ; {ATLANTIQUE} ; {ZONE} {TROPICALE}},
  booktitle = {},
  journal = {{T}errestrial {A}tmospheric and {O}ceanic {S}ciences},
  volume = {28},
  numero = {3},
  pages = {395--410},
  ISSN = {1017-0839},
  year = {2017},
  DOI = {10.3319/tao.2016.08.29.01},
  URL = {https://www.documentation.ird.fr/hor/fdi:010070918},
}