alexa Correlations of Remote Sensing Chlorophyll-a Data and Results of A Numerical Model of the Tropical and South Atlantic Ocean Circulation
ISSN: 2381-8719

Journal of Geology & Geophysics
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Research Article

Correlations of Remote Sensing Chlorophyll-a Data and Results of A Numerical Model of the Tropical and South Atlantic Ocean Circulation

Nair Emmanuela da Silveira Pereira1*, Joseph Harari2 and Ricardo de Camargo3
1MAG – Mar, Ambiente e Geologia, Rio de Janeiro, Brazil
2Oceanographic Institute, University of Sao Paulo, Sao Paulo, Brazil
3Institute of Astronomy, Geophysics and Atmospheric Sciences, University of Sao Paulo, Sao Paulo, Brazil
*Corresponding Author : Nair Emmanuela da Silveira Pereira
MAG – Mar,Ambiente e Geologia, Rio de Janeiro, Brazil
Tel: 55-21-22537406/55-21-982339612
E-mail: [email protected]
Received July 04, 2014; Accepted July 26, 2014; Published July 30, 2014
Citation: da Silveira Pereira NE, Harari J, de Camargo R (2014) A Numerical Model of the Tropical and South Atlantic Ocean Circulation. J Geol Geosci 3:171. doi:10.4172/2329-6755.1000171
Copyright: © 2014 da Silveira Pereira NE, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
 

Abstract

The Tropical and South Atlantic Ocean are characterized by important large scale features that have seasonal character. The interactions between atmospheric and oceanic phenomena compose a complex system where variations in physical parameters affect the distribution of primary production. Previous studies showed that the variability of physical parameters displays high values of cross-correlation with chlorophyll-a, with strong dependence on latitude and variability in the biological response time. This study aims to correlate data of chlorophyll-a from MODIS with the results of a hydrodynamic numerical model, in the period 2003 - 2009. The annual and semi-annual signals are predominant both in MODIS and model data but, even excluding these components, the residual correlations are still high. On the other hand, annual and semi-annual signals have smaller standard deviation than the remaining (residual) frequencies. The cross-correlations between chlorophyll-a and salinity, temperature and surface elevation showed spatial distribution patterns with well-defined latitudinal character, presenting higher modulus of correlation for temperature and salinity, above +0.6 in the polar region and below -0.5 in the tropical area. A general pattern of negative correlations in the regions of low concentration and positive in regions of high concentration was obtained, except the Equator (region of high chlorophyll concentration, which is characterized by a negative correlation for all variables, except the intensity of the currents). The cross-correlations between chlorophyll and physical parameters corroborate the pattern found in the correlations considering lag zero, stressing aspects as the positive correlation with the intensity of the currents in the equatorial region and the negative correlation with the surface elevation inside the South Atlantic Subtropical Gyre (SASG), both presenting immediate response. The analysis of spatial distributions of the cross-covariance of Fourier spectra between chlorophyll and each of the physical variables, in the transect 20°W, showed that temperature and salinity presented the best defined signals, especially in the periods of 3.5, 2.3, 0.7, and 1.7 years, with varying spatial distributions and time lags. These signals are found in the literature, being associated with ENSO phenomena.

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