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Dimethylsulfide model calibration in the Barents Sea using a genetic algorithm and neural network

Bo Qu A C , Albert J. Gabric B , Meifang Zeng A and Zhifeng Lu A
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A Science Department, Nantong University, Block 16, 9 Seyuan Road, Nantong, Jiangsu Province, 226019, P. R. China.

B School of Environment, Griffith University, Nathan, Qld 4111, Australia.

C Corresponding author. Email: qubo62@gmail.com

Environmental Chemistry 13(2) 413-424 https://doi.org/10.1071/EN14264
Submitted: 11 December 2014  Accepted: 8 March 2015   Published: 18 August 2015



16 articles found in Crossref database.

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Journal of Ocean University of China. 2022 21(6). p.1565
Modeling contemporary and future dimethylsulfide flux in the eastern China marginal seas
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Contemporary variability in dimethylsulfide flux in the Barents Sea and simulated change under 4×CO2 climate conditions
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Unusual phytoplankton bloom phenology in the northern Greenland Sea during 2010
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Journal of Marine Systems. 2016 164 p.144
Simulating the sea-to-air flux of dimethylsulfide in the eastern China marginal seas
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The relationships among aerosol optical depth, ice, phytoplankton and dimethylsulfide and the implication for future climate in the Greenland Sea
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Acta Oceanologica Sinica. 2018 37(5). p.13
Recent Trends in Satellite-Derived Chlorophyll and Aerosol Optical Depth Together with Simulated Dimethylsulfide in the Eastern China Marginal Seas
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Journal of Ocean University of China. 2022 21(2). p.486

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