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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Deep-learning Models and Observing System Simulation Experiments of the Indonesian Throughflow

Authors: Wang, Zihao; Wang, Yuan; Xue, Huijie;

Deep-learning Models and Observing System Simulation Experiments of the Indonesian Throughflow

Abstract

L30_zeta_1990 to L30_zeta_2019 are the 30-year SSH generated by the 30-layer PIOM, and L30_IS_vol_1990_2019 is the corresponding transport. L45_zeta_1990 to L45_zeta_2019 represent the 30-year SSH generated by the 45-layer PIOM, and L45_IS_vol_1990_2019 is the corresponding transport. The sequence of the 9 straits in the two transport files is JavaSea, Makassar, Maluku, Halmahera, Lombok, Sumbawa, Ombai, Timor and Torres. Main_Model is the Python code for the main deep learning model in this research.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average