Characteristics of the surface water DMS and pCO(2) distributions and their relationships in the Southern Ocean, southeast Indian Ocean, and northwest Pacific Ocean

• Published in: Global Biogeochemical Cycles
• Main Authors: Zhang, Miming, Marandino, C. A., Chen, Liqi, Sun, Heng, Gao, Zhongyong, Park, Keyhong, Kim, Intae, Yang, Bo, Zhu, Tingting, Yan, Jinpei, Wang, Jianjun
• Format: Article in Journal/Newspaper
• Language: English
• Published: Amer Geophysical Union 2017
• Subjects: Antarctic; Indian; Pacific; Southern Ocean; Antarc*; Sea ice
• Online Access: https://archimer.ifremer.fr/doc/00661/77323/78799.pdf; https://archimer.ifremer.fr/doc/00661/77323/78800.docx; https://archimer.ifremer.fr/doc/00661/77323/78801.xls; https://archimer.ifremer.fr/doc/00661/77323/78802.xls; https://doi.org/10.1002/2017GB005637; https://archimer.ifremer.fr/doc/00661/77323/

Oceanic dimethyl sulfide (DMS) is of interest due to its critical influence on atmospheric sulfur compounds in the marine atmosphere and its hypothesized significant role in global climate. High-resolution shipboard underway measurements of surface seawater DMS and the partial pressure of carbon dioxide (pCO(2)) were conducted in the Atlantic Ocean and Indian Ocean sectors of the Southern Ocean (SO), the southeast Indian Ocean, and the northwest Pacific Ocean from February to April 2014 during the 30th Chinese Antarctic Research Expedition. The SO, particularly in the region south of 58 degrees S, had the highest mean surface seawater DMS concentration of 4.1 +/- 8.3 nM (ranged from 0.1 to 73.2 nM) and lowest mean seawater pCO(2) level of 337 +/- 50 mu atm (ranged from 221 to 411 mu atm) over the entire cruise. Significant variations of surface seawater DMS and pCO(2) in the seasonal ice zone (SIZ) of SO were observed, which are mainly controlled by biological process and sea ice activity. We found a significant negative relationship between DMS and pCO(2) in the SO SIZ using 0.1 degrees resolution, [DMS](seawater) = -0.160 [pCO(2)](seawater) + 61.3 (r(2) = 0.594, n = 924, p < 0.001). We anticipate that the relationship may possibly be utilized to reconstruct the surface seawater DMS climatology in the SO SIZ. Further studies are necessary to improve the universality of this approach.