Interannual variability of dimethylsulfide in the Yellow Sea -- Journal of Oceanology and Limnology,2022,40(2):551-562

	Cite this paper:
	Sijia WANG, Qun SUN, Siyu LI, Jiawei SHEN, Qian LIU, Liang ZHAO. Interannual variability of dimethylsulfide in the Yellow Sea[J]. Journal of Oceanology and Limnology, 2022, 40(2): 551-562

Interannual variability of dimethylsulfide in the Yellow Sea

Sijia WANG¹, Qun SUN¹, Siyu LI¹, Jiawei SHEN², Qian LIU¹, Liang ZHAO¹

1 College of Marine and Environmental Sciences, Tianjin University of Science and Technology, TEDA, Tianjin 300222, China;
2 School of Marine Science and Technology, Tianjin University, Tianjin 300072, China

Abstract:

The 22-year (1998-2019) surface seawater dimethylsulfide (DMS) concentrations in the Yellow Sea (YS) were hindcasted based on satellite sea surface temperature (SST) and chlorophyllα (Chlα) data using α generalized additive mixed model (GAMM). A continuous monthly dataset of DMS concentration in the YS was obtained after using the data interpolation empirical orthogonal function (DINEOF) to reconstruct missing information in the dataset. Then, the interannual DMS variability in the YS was analyzed. The results indicated that the monthly climatological DMS concentration in the YS was 3.61 nmol/L. DMS concentrations in the spring and summer were significantly higher than those in the autumn and winter. DMS concentrations were highest in coastal YS waters and lowest primarily in offshore YS waters. Interannual DMS variability between 1998 and 2019 was subdivided into two inverse phases:with the exception of the central YS, DMS increased before the turning point and decreased after. The turning point in interannual DMS variation was earlier in the inshore YS as compared to the central YS. Spectrum analysis identified some significant patterns of interannual variation in the DMS anomaly in the YS. Chl α appeared to be the main factor influencing interannual trends in DMS in the YS. Interannual DMS variability was under the joint control of Chl α and SST. However, short-term interannual DMS variation (2-3 years) was primarily related to SST, while longer term interannual DMS variation (6-8 years) was significantly correlated with Chl α and SST.

Key words: interannual variability|dimethylsulfide|hindcasting|generalized additive mixed modelling|Yellow Sea

Received: 2020-12-24 Revised:

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Articles by Qun SUN

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Articles by Liang ZHAO

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