期刊
FRONTIERS IN MARINE SCIENCE
卷 10, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fmars.2023.1182255
关键词
Indonesian throughflow (ITF); upper layer; lower layer; El Nino-Southern Oscillation (ENSO); Indian Ocean Dipole (IOD); random forest (RF) model
The Indonesian Throughflow (ITF) is a crucial connection between the Pacific Ocean and the Indian Ocean, playing a significant role in global ocean circulation. The variability of ITF transport is influenced by climate modes like Central-Pacific and Eastern-Pacific El Nino, and the Indian Ocean Dipole. However, the relative importance of these climate modes on the ITF has not been well understood.
IntroductionThe Indonesian Throughflow (ITF) connects the Pacific Ocean and the Indian Ocean. It plays an important role in the global ocean circulation system. The interannual variability of ITF transport is largely modulated by climate modes, such as Central-Pacific (CP) and Eastern-Pacific (EP) El Nino and Indian Ocean Dipole (IOD). However, the relative importance of these climate modes importing on the ITF is not well clarified. MethodsDominant roles of the climate modes on ITF in specific periods are quantified by combining a machine learning algorithm of the random forest (RF) model with a variety of reanalysis datasets. ResultsThe results reveal that during the period from 1993 to 2019, the average ITF transport derived from high-resolution reanalysis datasets is -14.97 Sv with an intensification trend of -0.06 Sv year(-1), which mainly occurred in the upper layer. Four periods, which are 1993-2000, 2002-2008, 2009-2012 and 2013-2019, are identified as Nino 3.4, Dipole Mode Index (DMI), no significant dominant index, and DMI dominated, respectively. DiscussionThe corresponding sea surface height differences between the Northwest Tropical Pacific Ocean (NWP) and Southeast Indian Ocean (SEI) in these three periods when exist dominant index are -0.50 cm, 0.99 cm and -3.22 cm, respectively, which are responsible for the dominance of the climate modes. The study provides a new insight to quantify the response of ITF transport to climate drivers.
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