1389 / 2024-09-26 14:39:07
Revisit Wyrtki’s theory about the relationship between Indo-Pacific pressure gradient and ITF
Indonesian Throughflow (ITF),Indo-Pacific,Wind-driven circulation
摘要录用
Shijian Hu / Chinese Academy of Sciences;Institute of Oceanology
Linchao Xin / Institute of Ocenology, Chinese Academy of Sciences
Xi Lu / Institute of Oceanology, Chinese Academy of Sciences
In 1987, Klaus Wyrtki proposed that the Indonesian Throughflow is governed by a strong pressure gradient. He examined this hypothesis by comparing the modelled ITF transport and observed sea level difference between Davao in the Philippines and Darwin in Australia. He concluded that ENSO has “little influence on the sea level difference”, but also pointed out that “a determination of” the mechanism of the through flow “will have to await direct measurements”. In this presentation, we will summarize previous studies about the ITF, present the mechanism of ITF’s interannual variability. We have estimated the time series of ITF transport using sea level measurements from satellites and compared it with direct observations. Following Wyrtki’s idea, we used a deep-learning approach with the convolutional neural network (CNN) model to reproduce ITF transport with sea surface height. A test of the training results showed that the CNN model with SSH is able to reproduce approximately 90% of the total variance of ITF transport. A time series of ITF transport, verified by Monitoring the ITF (MITF) and International Nusantara Stratification and Transport (INSTANT) measurements of ITF, was then produced by the model using satellite observations from 1993 to 2021. We further found that the CNN model can make a valid prediction with a lead time of 7 months, implying that the ITF transport can be predicted using the deep-learning approach with SSH data.
重要日期
  • 会议日期

    01月14日

    2025

    01月17日

    2025

  • 09月27日 2024

    初稿截稿日期

  • 12月14日 2024

    注册截止日期

主办单位
State Key Laboratory of Marine Environmental Science, Xiamen University
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