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Seasonal velocity variations over the entire Kuroshio path part I: data analysis and numerical experiments

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Abstract

Herein, seasonal velocity variations from the sea surface to a depth of 1000 m over the entire Kuroshio path are investigated using satellite altimetry and reanalysis datasets. The data analysis results show that velocities in the upper layer (from 0 to approximately 500 m) reach a maximum in July and a minimum in autumn (October to November) or winter (December to February) with different tendencies in each region. However, those in the lower layer (> 500 m depth) show a reversed seasonal variation—reaching a maximum in winter—especially in the continental slope area from the east of Luzon Island to the east of the Ryukyu Islands chain, which is regarded as a route of the deeper Kuroshio flow. Using a realistic general circulation model, we performed numerical experiments to clarify the role of the local wind stress as the driving force in seasonal Kuroshio velocity variations in the upper layer. These experiments revealed that seasonal Kuroshio velocity variations in the upper layer are mainly caused by the local response to wind stress upon the current itself. These numerical results cannot be explained by conventional mechanisms, such as flow–topography interactions or coastal upwelling/downwelling. On the other hand, seasonal Kuroshio velocity variations in the lower layer can be explained by the Sverdrup theory, in which barotropic responses to the wind stress curl over the area west of the Izu–Ogasawara Ridge are responsible.

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Acknowledgements

We express our best gratitude to all anonymous reviewers who have provided useful comments to this paper. This study was supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI Grant Numbers 15H03725, 15H05821, 20H05169, the Natural Science Foundation of China (41920104006 and 41776107), the Scientific Research Fund of the Second Institute of Oceanography, MNR (JZ2001). The Delayed-Time Merged Global Ocean Gridded Absolute Geostrophic Velocities SSALTO/DUACS L4 product used in this study can be downloaded from the Copernicus Marine Environmental Monitoring Service (CMEMS) as the Gridded Sea Level Anomalies and Absolute Dynamic Topography Heights and Currents in the Delayed-Time Two-Sat Series in CMEMS. The 3D assimilation data product (MOVE-WNP) was provided by the Meteorological Research Institute of the Japan Meteorological Agency (JMA/MRI) and is available upon request (Usui et. al. 2013). The MOVE-WNP reanalysis dataset was developed to the Four-dimensional Variational Ocean ReAnalysis for the Western North Pacific (FORA-WNP30), whose Instruction and contact information can be found in http://search.diasjp.net/en/dataset/FORA_WNP30_JAMSTEC_MRI. The wind stress data used for the numerical experiments (for the period from 1950 to 2016) can be obtained from the public server of Asia-Pacific Data-Research Center (APDRC). Instruction for the wind stress data is given in http://apdrc.soest.hawaii.edu/datadoc/ofes/ncep_0.1_global_mmean.php. The outputs from the numerical experiments and the data used for plotting figures in this study are uploaded to the public server of CENTER FOR OPEN SCIENCE (OSF) with the project name ‘Seasonal velocity variations over the entire Kuroshio path’. The figures that are not shown in the manuscript can also be obtained from the data archive of this project. Identifier for this project is https://doi.org/10.17605/OSF.IO/VF3RQ.

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Correspondence to Hirohiko Nakamura.

Appendix

Appendix

1.1 Validation for the subsurface velocity field from the MOVE-WNP reanalysis data

Usui et al. (2013) validated the MOVE-WNP reanalysis data using the repeat hydrographic data on PN sections in the ECS and found good consistency in the interannual Kuroshio volume transport variation between the two datasets. However, the validation of the subsurface velocity field east of the Ryukyu Islands chain from their reanalysis data has not been conducted. Here, we compare the vertical velocity sections east of the Ryukyu Islands chain (Fig. 16) between the MOVE-WNP reanalysis (Fig. 17) and the observed data (Fig. 18). The observational velocity sections shown in Fig. 18 are a copy of Fig. 7 in Ichikawa et al. (2004), who produced those sections by combining data from moored current meters deployed at the positions shown by open circles in each panel and along-track satellite altimetry sea-surface height data (see their paper for the exact method). The MOVE-WNP reanalysis data well reproduced the current core at a depth of approximately around 500 m depth in the Ryukyu Current system. In addition, the MOVE-WNP reanalysis data indicate a year-to-year velocity variation with a maximum in 1999 and a minimum in 2001, which was found in the observational velocity sections (Fig. 18). On the other hand, the seasonal variations shown in Fig. 5 are consistent with the results of a previous study. Figure 19 shows a monthly time series of volume transport averaged over the area east of the Ryukyu Islands chain, reconstructed from Fig. 5b using the MOVE-WNP reanalysis data. The amplitude of seasonal volume transport variation was approximately 11 Sv and the maximum appeared in winter. These features are similar to the results shown by Thoppil et al. (2016, see Fig. 19 in their paper). Therefore, it is considered that the MOVE-WNP reanalysis data are reliable for the seasonal velocity variation analysis not only for the upper layer Kuroshio but also for the lower layer Kuroshio including the Ryukyu Current system.

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Zhang, ZL., Nakamura, H. & Zhu, XH. Seasonal velocity variations over the entire Kuroshio path part I: data analysis and numerical experiments. J Oceanogr 77, 719–744 (2021). https://doi.org/10.1007/s10872-021-00604-7

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