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Sea Surface Temperature Patterns in Tropical Atlantic: Principal Component Analysis and Nonlinear Principal Component Analysis : Volume 1, Issue 1 (21/03/2014)

By Kenfack, S. C.

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Book Id: WPLBN0004020091
Format Type: PDF Article :
File Size: Pages 33
Reproduction Date: 2015

Title: Sea Surface Temperature Patterns in Tropical Atlantic: Principal Component Analysis and Nonlinear Principal Component Analysis : Volume 1, Issue 1 (21/03/2014)  
Author: Kenfack, S. C.
Volume: Vol. 1, Issue 1
Language: English
Subject: Science, Nonlinear, Processes
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Hounkonnou, N. M., Bawe, G. N., Kenfack, S. C., Vondou, D. A., Alory, G., Mkankam, K. F., & Penhoat, Y. D. (2014). Sea Surface Temperature Patterns in Tropical Atlantic: Principal Component Analysis and Nonlinear Principal Component Analysis : Volume 1, Issue 1 (21/03/2014). Retrieved from

Description: International Chair in Mathematical Physics and Applications, University of Abomey-Calavi, Cotonou, Benin. Principal Component Analysis (PCA) is one of the popular statistical methods for feature extraction. The neural network model has been performed on the PCA to obtain nonlinear principal component analysis (NLPCA), which allows the extraction of nonlinear features in the dataset missed by the PCA. NLPCA is applied to the monthly Sea Surface Temperature (SST) data from the eastern tropical Atlantic Ocean (29° W–21° E, 25° S–7° N) for the period 1982–2005. The focus is on the differences between SST inter-annual variability patterns; either extracted through traditional PCA or the NLPCA methods.The first mode of NLPCA explains 45.5% of the total variance of SST anomaly compared to 42% explained by the first PCA. Results from previous studies that detected the Atlantic cold tongue (ACT) as the main mode are confirmed. It is observed that the maximum signal in the Gulf of Guinea (GOG) is located along coastal Angola. In agreement with composite analysis, NLPCA exhibits two types of ACT, referred to as weak and strong Atlantic cold tongues. These two events are not totally symmetrical. NLPCA thus explains the results given by both PCA and composite analysis. A particular area observed along the northern boundary between 13 and 5° W vanishes in the strong ACT case and reaches maximum extension to the west in the weak ACT case. It is also observed that the original SST data correlates well with NLPCA and PCA, but with a stronger correlation on ACT area for NLPCA and southwest in the case of PCA.

Sea surface temperature patterns in Tropical Atlantic: principal component analysis and nonlinear principal component analysis

Hagos, S. M. and Cook, K. H.: Development of a coupled regional model and its application to the study of interactions between the West African monsoon and the eastern tropical Atlantic ocean, J. Climate, 18, 4993–5010, 2008.; Hastenrath, S. and Lamb, P. J.: Climatic Atlas of the Tropical Atlantic and Eastern Pacific Oceans, The University of Wisconsin Press, Madison, 112 pp., 1977.; Hastie, T. and Stuetzle, W.: Principal curves, J. Am. Stat. Assoc., 84, 502–516, 1989.; Hecht-Nielsen, R.: Replicator neural networks for universal optimal source coding, Science, 269, 1860–1863, 1995.; Hirst, A. C. and Hastenrath, S.: Atmosphere-ocean mechanisms of climate anomalies in the Angola-tropical Atlantic sector, J. Phys. Oceanogr., 13, 1146–1157, 1983.; Houghton, R. W.: Seasonal variations of the subsurface thermal structure in the Gulf of Guinea, J. Phys. Oceanogr., 13, 2070–2081, 1983.; Hsieh, W. W.: Non linear principal component analysis by neural networks, Tellus, 53, 599–615, 2001.; Hsieh, W. W.: nonlinear multivariate and time series analysis by neural network methods, Rev. Geophys., 42, RG1003, doi:10.1029/2002RG000112, 2004.; Hsieh, W. W.: Nonlinear principal component analysis of noisy data, Neural Networks, 20, 434–443, 2007.; Kramer, M. A.: Non-linear principal component analysis using auto associative neural networks, AIChE J., 37, 233–243, 1991.; Lamb, P. J.: Largescale tropical atlantic surface circulation patterns associated with sub-saharan weather anomalies, Tellus, 30, 240–251, 1977.; Lamb, P. J.: Large-scale tropical Atlantic surface circulation patterns associated with sub-Saharan weather anomalies, Tellus, 30, 240–251,1978.; Lamb, P. J. and Peppler, R. A.: Further case studies of tropical atlantic surface atmospheric and oceanic patterns associated with sub-saharan drought, J. Climate, 5, 472–488, 1992.; Latif, M. and Grötzner, A.: The equatorial Atlantic oscillation and its response to ENSO, Clim. Dynam., 16, 213–218, 2000.; Li, T. and Philander, S. G. H.: On the seasonal cycle of the equatorial Atlantic Ocean, J. Climate, 10, 813–817, 1997.; Li, S., Hsieh, W. W., and Wu, A.:Hybrid coupled modeling of the tropical Pacific using neural networks, J. Geophys. Res., 110, C09024, doi:10.1029/2004JC002595, 2005.; Malthouse, E. C.: Limitations of nonlinear pca as performed with generic neural networks, IEEE T. Neural Networ., 9, 165–173, 1998.; Merle, J., Fieux, M., and Hisard, P.: Annual signal and interannual anomalies of sea surface temperature in the eastern equatorial Atlantic Ocean, Deep-Sea Res., 26, 77–101, 1980.; Messager, C., Gallee, H., and Brasseur, O.: Precipitation sensitivity to regional SST in a regional climate simulation during the West African monsoon for two dry years, Clim. Dynam., 22, 249–266, 2004.; Monahan, A. H.: Nonlinear principal component analysis: Tropical Indo-Pacific sea surface temperature and sea level pressure, J. Climate, 14, 219–233, 2001.; Monahan, A. H., Fyfe, J. C., and Pandolfo, L.: The vertical structure of wintertime climate regimes of the northern hemisphere extratropical atmosphere, J. Climate, 16, 2005–2021, 2003.; Nicholson, S. E. and Dezfuli, A. K.: The Relationship of Rainfall Variability in Western Equatorial Africa to the Tropical Oceans and Atmospheric Circulation. Part I: The Boreal Spring, J. Climate, 26, 45–65, 2013.; Nnamchi, H. C. and Jianping, L.: Influence of the South Atlantic Ocean Dipole on West African Summer Precipitation, J. Climate, 24, 1184–1197, 2011.; Odekunle, T. O. and Eludoyin, A. O.: Sea surface temperature patterns in the Gulf of Guinea: their implications for the spatio-temporal variability of precipitation in West Africa, Int. J. Climatol. 28, 1507–1517, 2008.; Okumura, Y. and Xie, S. P.: Interaction of the Atlantic equatorial Cold Tongue and the African Monsoon, J. Climate, 17, 3589–3602, 2004.; Palmer, T. N.: The influe


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