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Tytuł artykułu

Chlorophyll distribution by oceanic model and satellite data in the Bay of Bengal and Andaman Sea

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
An oceanic model and satellite data are used to evaluate the seasonal distribution of chlorophyll-a (Chl-a) in the Bay of Bengal (BoB) and Andaman Sea. Satellite data show high Chl-a concentrations because high Chl-a concentrations reduce CO2 and increase O2 at the sea surface, indicating fish abundance in the ocean. Sample collection alone cannot provide an accurate overview of Chl-a concentration over an entire region. The satellite data concerning Chl-a concentration, phytoplankton absorption coefficient, and Sea Surface Temperature (SST) are from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) project and from the Moderate Resolution Imaging Spectroradiometer (MODIS). The oceanic model is created to give the surface circulation as a result. The research finds that the simulation is in agreement with SST, Chl-a concentration, and phytoplankton absorption coefficients obtained from satellites. The conclusion is that the oceanic model can be used to implicitly explain the seasonal distribution of Chl-a in the Bay of Bengal and Andaman sea.
Rocznik
Strony
132--138
Opis fizyczny
Bibliogr. 12 poz., wykr.
Twórcy
autor
  • The Joint Graduate School of Energy and Environment, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand, sakharins@hotmail.com
Bibliografia
  • 1.Acker, J., Berrick, S., Kempler, S., Leptoukh, G., Liu, Z., Rui, H., Teng, W., Shen, S., Zhu, T. & Johnso, J. (2005) A Vital Tool Enabling Rapid and Accurate Climate Data Analysis for Evaluation, Assessment, and Research, November, 2005. U.S. Climate Change Science Program Workshop, Arlington, Virginia, USA.
  • 2.Amante, C. & Eakins, B. W. (2008). 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis (ETOPO1), pp 21, NOAA, National Geophysical Data Center, Colorado, U.S.A.
  • 3.Behrenfeld, M. J. & Falkowski, P. G. (1997). Photosynthetic rates derived from satellite-based chlorophyll concentration, Limnol. Oceanogr., 42, 1-20. .
  • 4.Hooker, S. B., Esaias, W. E., Feldman, G. C., Gregg, W. W. & Maclain, C. R. (1992). An overview of SeaWiFS and Ocean Color. SeaWiFS Technical Report Series, NASA Technical Memorandum, 104566(1), 24.
  • 5.National Aeronautics and Space Administration, NASA, (2007), Goddard Earth Sciences Data and Information Services Center, Giovanni, Retrieved 2007, from http://disc.sci.gsfc.nasa.gov/giovanni/.
  • 6.Locarnini, R. A., Mishonov, A. V., Antonov, J. I., Boyer, T. P., Garcia, H. E. (2005). World Ocean Atlas 2005 (WOA2005), Volume 1: Temperature. S. Levitus, Ed, NOAA Atlas NESDIS 61, 182, U.S. Gov. Printing Office, Washington, D.C.
  • 7.Marghany, M. & Hashim, M. (2010). Utilization of MODIS Satellite Data for Modeling Chlorophyll Concentrations Along Malaysian Coastal Waters. American Journal of Scientific Research 8, 5-11.
  • 8.Pradhan, Y., Lavender, S. J., Hardman-Mountford, N. J. & Aiken, J. (2009). Seasonal and inter-annual variability of chlorophyll-a concentration in the Mauritanian upwelling, Observation of an anomalous event during 1998-1999. Deep-Sea Res. Pt. II, 53, 1548-1559.
  • 9.Suwannathatsa, S., Wongwises, P., Vongvisessomjai, S., Wannawong, W. & Saetae, D. (2012). Phytoplankton tracking by oceanic model and satellite data in the Bay of Bengal and Andaman Sea, April 2012. Bangkok, Thailand: Elsevier B.V.
  • 10.Viterbo, P. & Betts, A.K. (1999). Impact of the ECMWF Reanalysis Soil Water on Forecasts of the July 1993 Mississippi flood. Journal of Geophysical Res., 104, 361-366.
  • 11.Wannawong, W., Humphries, U.W., Wongwises, P., Vongvisessomjai S. & Lueangaram, W. (2010). Numerical Analysis of Wave and Hydrodynamic Models for Energy Balance and Primitive Equations. International Journal of Mathematical and Statistical Sciences, 4, 140-150.
  • 12.Yoon, Y. J., Ceburnis, D., Cavalli, F., Jourdan, O., Putaud, J.P., Facchini, M. C., Decesari, S., Fuzzi, S., Sellegri, K., Jennings, S. G. & O'Dowd, C. D. (2007). Seasonal characteristics of the physicochemical properties of North Atlantic marine atmospheric aerosols, J. Geophys. Res.-Atmos., 112, D04206, DOI:10.1029/2005JD007044 .
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUS8-0029-0047
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