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Interannual variability of dimethylsulfide in the Yellow Sea

Journal of Oceanology and Limnology 2022年第2期40卷 551-562页

作者： Sijia WANG Qun SUN Siyu LI Jiawei SHEN Qian LIU Liang ZHAO College of Marine and Environmental Sciences Tianjin University of Science and TechnologyTEDATianjin 300222China School of Marine Science and Technology Tianjin UniversityTianjin 300072China

The 22-year(1998-2019)surface seawater dimethylsulfi de(DMS)concentrations in the Yellow Sea(YS)were hindcasted based on satellite sea surface temperature(SST)and chlorophyll-a(Chl-a)data using a 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 ***,the interannual DMS variability in the YS was *** results indicated that the monthly climatological DMS concentration in the YS was 3.61 nmol/*** concentrations in the spring and summer were signifi cantly higher than those in the autumn and *** concentrations were highest in coastal YS waters and lowest primarily in off shore YS *** 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 *** turning point in interannual DMS variation was earlier in the inshore YS as compared to the central *** analysis identifi ed some signifi cant patterns of interannual variation in the DMS anomaly in the *** a appeared to be the main factor infl uencing interannual trends in DMS in the *** DMS variability was under the joint control of Chl a and ***,short-term interannual DMS variation(2-3 years)was primarily related to SST,while longer term interannual DMS variation(6-8 years)was signifi cantly correlated with Chl a and SST.

关键词： interannual variability dimethylsulfi de hindcasting generalized additive mixed modelling Yellow Sea

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