摘要
采用ECMWF的ORAS4盐度资料(1999—2009年)来研究阿拉伯海暖池区(ASMWP)混合层盐度的年际变化.基于ORAS4盐度的季节循环特征与观测资料高度一致,发现了ASMWP混合层盐度变化的异常高(低)盐度时期,即在2003、2005年的7—10月混合层盐度异常偏大,而2002年2—4月则有明显减弱.进一步研究发现,混合层盐度的强度和持续时间与ENSO和IOD有一定的关系,ASMWP混合层盐度异常在IOD负位向和ENSO负位相的时候偏高,反之亦然.最后,通过盐度收支分析发现,水平输运是导致ASMWP混合层盐度异常年际变化的主要因子.
Salinity data from the Ocean Reanalysis System(ORAS4)that implemented by the European Centre for Medium-Range Weather Forecasts(ECMWF),have been used to study the interannual variability of mixed layer salinity in the Arabian Sea mini warm pool(ASMWP)during the period of 1999-2009.Apart from the broad agreement with previous studies on the seasonal salinity observations,we investigated several abnormal interannual high(low)salinity episodes in the mixed layer of the ASMWP.This study concludes the anomalous salinity growth in the mixed layer during July-October in the years of 2003 and 2005 and declining in February-April of 2002 for the study period(1999-2009).Furthermore,the analysis showed that the intensity of the mixed layer salinity and the duration of the ASMWP high salinity period increased when negative Indian Ocean Dipole(nIOD)coincides with the La Nina.Apart from that,the mixed layer salinity budget analysis revealed the dominant role of horizontal advection for the interannual mixed layer salinity changes in the ASMWP.
作者
A.U.MARASINGHE
张玉红
王东晓
Tilak P.D.GAMAGE
黎大宁
姚景龙
A.U.MARASINGHE;ZHANG Yuhong;WANG Dongxiao;Tilak P D GAMAGE;LI Daning;YAO Jinglong(State Key Laboratory of Tropical Oceanography,South China Sea Institute of Oceanology, Chinese Academy of Sciences,Guangzhou 510301,China;Faculty of Fisheries and Marine Sciences&Technology,University of Ruhuna,Matara 81000,Sri Lanka)
出处
《南京信息工程大学学报(自然科学版)》
CAS
2018年第3期299-310,共12页
Journal of Nanjing University of Information Science & Technology(Natural Science Edition)
基金
funded by International Partnership Program of Chinese Academy of Sciences with grant no. 131551KYSB20160002~~
关键词
阿拉伯海暖池区
年际变化
混合层
盐度收支
气候模态指数
Arabian Sea mini warm pool
interannual variability
mixed layer
salinity budget
climate mode indices