The distribution and variability of simulated chlorophyll concentration over the tropical Indian Ocean from five CMIP5 models
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Performances of 5 models from the Coupled Model Intercomparison Project Phase 5 (CMIP5) in simulating the chlorophyll concentration over the tropical Indian Ocean are evaluated. Results show that these models are able to capture the dominant spatial distribution of observed chlorophyll concentration and reproduce the maximum chlorophyll concentration over the western part of the Arabian Sea, around the tip of the Indian subcontinent, and in the southeast tropical Indian Ocean. The seasonal evolution of chlorophyll concentration over these regions is also reproduced with significant amplitude diversity among models. All of 5 models is able to simulate the interannual variability of chlorophyll concentration. The maximum interannual variation occurs at the same regions where the maximum climatological chlorophyll concentration is located. Further analysis also reveals that the Indian Ocean Dipole events have great impact on chlorophyll concentration in the tropical Indian Ocean. In the general successful simulation of chlorophyll concentration, most of the CMIP5 models present higher than normal chlorophyll concentration in the eastern equatorial Indian Ocean.
Key wordsIndian Ocean chlorophyll concentration climatology seasonal variability interannual variability
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- Li, G., Lin, Q., and Ni, G., 2012. Vertical patterns of early summer chlorophyll a concentration in the Indian Ocean with special reference to the variation of deep chlorophyll maximum. Journal of Marine Biology, 2012, DOI: 10.1155/2012/801248.Google Scholar
- McClain, C. R., Cleave, M. L., Feldman, G. C., Gregg, W. W., Hooker, S. B., and Kuring, N., 1998. Science quality SeaWiFS data for global biospheric research. Sea Technology, 39: 10–16.Google Scholar
- Saji, N. H., Goswami, B. N., Vinayachandran, P. N., and Yamagata, T., 1999. A dipole mode in the tropical Indian Ocean. Nature, 401: 360–363.Google Scholar
- Sarangi, R. K., Nayak, S., and Panigraphy, R. C., 2008. Monthly variability of chlorophyll and associated physical parameters in the southwest Bay of Bengal water using remote sensing data. Indian Journal of Marine Sciences, 37(3): 256–266.Google Scholar
- Sun, S. W., Lan, J., and Wang, Y., 2010. Variations of SST and thermocline depth in the Tropical Indian Ocean during Indian Ocean Dipole events. Journal of Ocean University of China, 2: 120–127.Google Scholar
- Wang, C., and Wang, X., 2012. El Niño Modoki I and II classifying by different impacts on rainfall in Southern China and typhoon tracks. Journal of Climate, DOI: 10.1175/JCLI-D-12-00107.1.Google Scholar
- Wiggert, J. D., Vialard, J., and Behrenfeld, M. J., 2009. Basin-wide modification of dynamical and biogeochemical processes by the positive phase of the Indian Ocean Dipole during the SeaWiFS era. Indian Ocean Biogeochemical Processes and Ecological Variability, Geophysical Monograph Series 185, Wiggert, J. D. et al., eds., AGU, Washington, D. C., 385–407, DOI: 10.1029/2008GM000776.CrossRefGoogle Scholar