Sea surface temperature patterns in the Tropical Atlantic: Principal component analysis and nonlinear principal component analysis
The tropical Atlantic Ocean exhibits several modes of interannual variability such as the equatorial (or Atlantic Niño) mode, and meridional (or Atlantic dipole) mode. Nonlinear principal component analysis (NLPCA) is applied on detrended monthly Sea Surface Temperature Anomaly (SSTA) data from the...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2017-01-01
|
| Series: | Terrestrial, Atmospheric and Oceanic Sciences |
| Online Access: |
http://tao.cgu.org.tw/media/k2/attachments/v283p395.pdf
|
| _version_ | 1811302359044718592 |
|---|---|
| author | S. C. Kenfack K. F. Mkankam G. Alory Y. du Penhoat N. M. Hounkonnou D. A. Vondou G. B. Nfor |
| author_facet | S. C. Kenfack K. F. Mkankam G. Alory Y. du Penhoat N. M. Hounkonnou D. A. Vondou G. B. Nfor |
| author_sort | S. C. Kenfack |
| collection | DOAJ |
| description | The tropical Atlantic Ocean exhibits several modes of interannual variability such as the equatorial (or Atlantic Niño) mode, and meridional (or Atlantic dipole) mode. Nonlinear principal component analysis (NLPCA) is applied on detrended monthly Sea Surface Temperature Anomaly (SSTA) data from the tropical Atlantic Ocean (30°W - 20°E, 26°S - 22°N) for the period 1950 to 2005. The objective is to compare the modes extracted through this statistical analysis to those previously extracted through simpler principal component analysis (PCA). It 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. The first two NLPCA modes marginally explain more of the total data variance than the first two PCA modes. Our analysis confirms results from previous studies and, in addition, shows that the Atlantic El Niño structure is spatially more stable than the Atlantic dipole structure. |
| first_indexed | 2024-04-13T07:26:39Z |
| format | Article |
| id | doaj.art-2bc2fa86848a41eead38ead65c19494a |
| institution | Directory Open Access Journal |
| issn | 1017-0839 2311-7680 |
| language | English |
| last_indexed | 2024-04-13T07:26:39Z |
| publishDate | 2017-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Terrestrial, Atmospheric and Oceanic Sciences |
| spelling | doaj.art-2bc2fa86848a41eead38ead65c19494a2022-12-22T02:56:28ZengSpringerTerrestrial, Atmospheric and Oceanic Sciences1017-08392311-76802017-01-0128339510.3319/TAO.2016.08.29.01Sea surface temperature patterns in the Tropical Atlantic: Principal component analysis and nonlinear principal component analysisS. C. KenfackK. F. MkankamG. AloryY. du PenhoatN. M. HounkonnouD. A. VondouG. B. NforThe tropical Atlantic Ocean exhibits several modes of interannual variability such as the equatorial (or Atlantic Niño) mode, and meridional (or Atlantic dipole) mode. Nonlinear principal component analysis (NLPCA) is applied on detrended monthly Sea Surface Temperature Anomaly (SSTA) data from the tropical Atlantic Ocean (30°W - 20°E, 26°S - 22°N) for the period 1950 to 2005. The objective is to compare the modes extracted through this statistical analysis to those previously extracted through simpler principal component analysis (PCA). It 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. The first two NLPCA modes marginally explain more of the total data variance than the first two PCA modes. Our analysis confirms results from previous studies and, in addition, shows that the Atlantic El Niño structure is spatially more stable than the Atlantic dipole structure. http://tao.cgu.org.tw/media/k2/attachments/v283p395.pdf |
| spellingShingle | S. C. Kenfack K. F. Mkankam G. Alory Y. du Penhoat N. M. Hounkonnou D. A. Vondou G. B. Nfor Sea surface temperature patterns in the Tropical Atlantic: Principal component analysis and nonlinear principal component analysis Terrestrial, Atmospheric and Oceanic Sciences |
| title | Sea surface temperature patterns in the Tropical Atlantic: Principal component analysis and nonlinear principal component analysis |
| title_full | Sea surface temperature patterns in the Tropical Atlantic: Principal component analysis and nonlinear principal component analysis |
| title_fullStr | Sea surface temperature patterns in the Tropical Atlantic: Principal component analysis and nonlinear principal component analysis |
| title_full_unstemmed | Sea surface temperature patterns in the Tropical Atlantic: Principal component analysis and nonlinear principal component analysis |
| title_short | Sea surface temperature patterns in the Tropical Atlantic: Principal component analysis and nonlinear principal component analysis |
| title_sort | sea surface temperature patterns in the tropical atlantic principal component analysis and nonlinear principal component analysis |
| url |
http://tao.cgu.org.tw/media/k2/attachments/v283p395.pdf
|
| work_keys_str_mv | AT sckenfack seasurfacetemperaturepatternsinthetropicalatlanticprincipalcomponentanalysisandnonlinearprincipalcomponentanalysis AT kfmkankam seasurfacetemperaturepatternsinthetropicalatlanticprincipalcomponentanalysisandnonlinearprincipalcomponentanalysis AT galory seasurfacetemperaturepatternsinthetropicalatlanticprincipalcomponentanalysisandnonlinearprincipalcomponentanalysis AT ydupenhoat seasurfacetemperaturepatternsinthetropicalatlanticprincipalcomponentanalysisandnonlinearprincipalcomponentanalysis AT nmhounkonnou seasurfacetemperaturepatternsinthetropicalatlanticprincipalcomponentanalysisandnonlinearprincipalcomponentanalysis AT davondou seasurfacetemperaturepatternsinthetropicalatlanticprincipalcomponentanalysisandnonlinearprincipalcomponentanalysis AT gbnfor seasurfacetemperaturepatternsinthetropicalatlanticprincipalcomponentanalysisandnonlinearprincipalcomponentanalysis |