Tytuł artykułu
Autorzy
Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
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.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
132--138
Opis fizyczny
Bibliogr. 12 poz., wykr.
Twórcy
autor
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