MPIOS_Data_Local monsoon drives seasonal transition of equilibrium states in the Mindanao-New Guinea Confluence

Published: 7 October 2024| Version 3 | DOI: 10.17632/nfd74v2n4s.3
Contributor:
Yuxuan Li

Description

The high-resolution ocean model: the Modeling Pacific and Indian Ocean System (MPIOS) output data for paper "Local monsoon drives seasonal transition of equilibrium states in the Mindanao-New Guinea Confluence", which has been submitted to Journal of Geophysical Research: Oceans These data can fully reproduce the figures in the paper. Due to the large place storage requirements of model data, the complete model data can be accessed by contacting the corresponding author.

Files

Steps to reproduce

The basic.mat contain the longitude, latitude, water depth, and mask information of the MPIOS, and can be used to reproduce Fig. 1d and Fig 4a. The MPIOS_vertica-integrated .mat cen be used to reproduce Fig. 2 and Fig.5 The MPIOS_seasonal_cycle.mat can be used to reproduce Fig.4b and 4c. The MPIOS_exp_penetrating_choking.mat comprise of zonal mean sea surface height and relative vorticity modeled by contro run and Exp.1-4, which are performed in Fig.7. The MPIOS_exp_eddy-shedding.mat can reproduce Fig.12, which is the similar with Fig.7. The Difference .mat is used for Fig.9 The MPIOS_exp_tranports .mat contains the ratio of Mindanao Current and New Guinea Coastal Current/Undercurrent in the designed wind sensitivity experiments, for Fig.8c. The MPIOS_flux.mat includes the transports of Makassar ITF, the leakage and the retroflection, which can reproduce Fig.10 The MPIOS_eddy_shedding_case.mat can be used to reproduce Fig.11. Other not-mentioned Figures can be reproduced by public datasets refered to the Acknowledgement of the paper.

Institutions

Chinese Academy of Sciences

Categories

Oceanography, Oceanographic Modeling

Funding

Strategic Priority Research Program of the Chinese Academy of Sciences

Nos. XDB42000000

National Natural Science Foundation of China

No. 42090044

Laoshan Laboratory Science and Technology Innovation Project

Nos. LSKJ202202504 and LSKJ2022020103

National Natural Science Foundation of China

Nos. 92158202

Licence