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Journal of Ocean University of China

, Volume 19, Issue 1, pp 151–160 | Cite as

Comparison Between Early and Late 21stC Phytoplankton Biomass and Dimethylsulfide Flux in the Subantarctic Southern Ocean

  • Bo QuEmail author
  • Albert J. Gabric
  • Limei Jiang
  • Chunyue Li
Article
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Abstract

Time-series of chlorophyll-a (CHL), a proxy for phytoplankton biomass, and various satellite-derived climate indicators are compared in a region of the Subantarctic Southern Ocean (40°−60°S, 110°−140°E) for years 2012−2014. CHL reached a minimum in winter (June) and a maximum in late summer (early February). Zonal mean CHL decreased towards the south. Mean sea surface temperature (SST) ranged between 8℃ and 15℃ and peaked in late February. CHL and SST were positively correlated from March to June, negatively correlated from July to September. CHL and wind speed (WIND) were negatively correlated with peak WIND occurred in winter. Wind direction (WIRD) was mostly in the southwest to westerly direction. The Antarctic Oscillation index (AAO) and CHL were negatively correlated (R = −0.58), indicating that as synoptic wind systems move southwards, CHL increases, and conversely when wind systems move northwards, CHL decreases. A genetic algorithm is used to calibrate the biogeochemical DMS model’s key parameters. Under 4 × CO2 (after year 2100) Regional mean SST increases 12%−17%, WIND increases 1.2 m s−1, Cloud Cover increases 4.8% and mixed layer depth (MLD) decreases 48m. The annual CHL increases 6.3%. The annual mean DMS flux increase 25.2%, increases 37% from day 1 to day 280 and decrease 3% from day 288 to day 360. The general increase of DMS flux under 4 × CO2 conditions indicates the Subantarctic regional climate would be affected by changes in the DMS flux, with the potential for a cooling effect in the austral summer and autumn.

Key words

wind speed phytoplankton dimethylsulfide flux climate change subantarctic Southern Ocean 

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Notes

Acknowledgements

We gratefully acknowledge the NASA Ocean Biology Processing Group and Goddard Space Flight Center of SeaWiFS Project Group for providing MODIS CHL data (Aqua, Level 3, 4-km, 8-day, mapped) data, and the NASA Web SeaDAS development group for providing Ocean Colour SeaDAS Software for regional CHL data and image retrieval. Acknowledgement should also go to NOAA NCEP EMC CMB GLOBAL Reyn-SmithOIv2 for providing sea-ice concentration data. We thank the Naval Research Laboratory Remote Sensing Division, the Naval Center for Space Technology, and the National Polar-Orbiting Operational Environmental Satellite System (NPOESS) Integrated Program Office (IPO) for providing the WindSat Polarimetric Radiometer global satellite- based WIND, WIRD, SST, as well as the MATLAB programming for retrieving the regional data. Thanks to Dr. Xiaofan Duan and Dr. Yangyang Li for their AAO and SST data retrieving and calculations. Finally, we gratefully acknowledge the National Natural Science Foundation of China (Nos. 41276097 and 11701298) for providing research funding for this project.

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Copyright information

© Ocean University of China, Science Press and Springer-Verlag GmbH Germany 2020

Authors and Affiliations

  • Bo Qu
    • 1
    Email author
  • Albert J. Gabric
    • 2
  • Limei Jiang
    • 3
  • Chunyue Li
    • 4
  1. 1.School of ScienceNantong UniversityNantongChina
  2. 2.School of Environment and ScienceGriffith UniversityNathanAustralia
  3. 3.Nantong Chong Chuan SchoolNantongChina
  4. 4.Marketing, Thermo Fisher ScientificShanghaiChina

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