We thank the refree for the review of this manuscript and provides the comments and annotations that good for the improvement of this manuscript. We have revised the whole manuscript according to the comments and annotations, and the special responses are as follows:

1) We thank the refree points out the discrepancy of sea surface waves observed by Buoy 1 and Buoy 4 in the period from June 14 to June 20 and on July 26, which we ignored before. After carefully checked air-sea processes during the two periods, we find it may due to tropical cyclones Hagibis which generated near the moored array near June 14 and tropical cyclone Matmo which may influenced the moored array near July 22 and then influenced local sea surface wave fields afterwards, we have added a sentence “However, B4 showed more drastic variation of peak period than B1 with different mean wave direction and wave spread during 14 to 20 July and near 26 July, which may due to the influence of tropical cyclones Habibis and Matmo.” to explain it in Section 3.3 in the revised manuscript. We have also added the information of Hagibis and Matmo in Figure 1.

2) We thank the refree for the suggestions including the abstract, main text and discuccsion, which is valuable for the improvement of this manuscript. The revisions are as follows:

For the abstract, it has been rewritten and include these sentences for major results and potential applications: “The data reveals air-sea interactions and oceanic processes in the upper and bottom ocean, it reveals the transition of air-sea interface and ocean conditions from summer to winter monsoon along with the effects of six tropical cyclones on the moored array, the multiscale processes such as air-sea fluxes, tides, internal waves and low-frequency flows were also recorded. The data is valuable and has multiple potential applications, including the analysis of the phenomena and mechanisms of air-sea interactions and ocean dynamics, as well as validation and improvement of local numerical model simulations, data reanalysis and assimilations.”.

For the main text, the texts are revised according to the annotated PDF. Figure 5 and 6 were redrawn to add unit on colorbar, Figure 7 is redrawn to leave letter (a, b, c..) of the sub panels and move the title of graph to Y label.

For the discussion, we add following sentences in the last paragraph of the conclusion section (Section 5) to give a discussion and conclusive interpretation of the air-sea surface and seawater dynamics in the area: “The tropical cyclones increased sea surface wind speed, enhanced sea surface wave height and near-surface ocean currents, cooled sea surface water and air temperature, induced near-inertial waves as well as near-bottom currents. The moored array also experienced a transition from the summer to winter monsoons, with prevailing nearly south wind (approximately 200°) and wave (approximately 180°) with sea surface significant wave height <2 m and peak period <10 s from late July to mid-August, then shifted to nearly northeast wind (approximately 20°‒80°) and east wave (approximately 90°) with sea surface significant wave height >3 m and peak period <10 s after October. In addition, ocean data may have recorded multiscale air-sea interactions and ocean processes, such as air-sea heat and momentum fluxes, ocean tides, internal waves, seasonal variations in temperature, salinity, and flows, as well as background processes, such as mesoscale eddies and local circulations. The data has already been used for the analysis of the air-sea and ocean variations on the moored array (Quan et al., 2022; He et al., 2024), validation of ocean (Zhang et al., 2016; Liu et al., 2020; Lu et al., 2023) and air-sea coupled (Wu et al., 2020; Lim Kam Sian et al., 2020; Liu et al., 2024) model simulation, check the parameterization of air-sea surface flux (Zhang et al., 2020; Liu et al., 2024), investigate the mechanisms and theory of ocean response to tropical cyclones (Hong et al., 2022; Zhang 2023). The dataset has the potential for further studies in these fields, while may also be used for other fields such as data reanalysis and assimilations.”

References:

Liu, F., Zhang, H., Ming, J., Zheng, J., Tian, D., and Chen, D.: Importance of Precipitation on the Upper Ocean Salinity Response to Typhoon Kalmaegi (2014), Water, 12, 614, doi:10.3390/w12020614, 2020.

Liu F, Toumi R, Zhang H, Chen D. Impact of Precipitation on Ocean Responses during Tropical Cyclone. Journal of Physical Oceanography, 2024, 54(3): 895–909. doi:10.1175/jpo-d-23-0138.1, 2024.

Lu, X., Dong, C., Xu, Z., Yang, J., Zhang, H., Wang, D., and Chen, D.: Effects of numerical model's horizontal resolution on the vertical transport of near-inertial energy, Deep-Sea Res. II, 207, 105223, doi:10.1016/j.dsr2.2022.105223, 2023.

Quan, Q., Liu, Z., Yang, Y., Cai, Z., Zhang, H., and Liu, X.: Characterization of intraseasonal fluctuations in the abyssal South China Sea: An insight into the energy pathway, Prog. Oceanogr., 206, 102829, doi:10.1016/j.pocean.2022.102829, 2022.

He, Y., Lin, X., Han, G., Liu, Y., and Zhang, H.: The different dynamic influences of Typhoon Kalmaegi on two pre-existing anticyclonic ocean eddies, Ocean Sci., 20, 621–637, doi:10.5194/os-20-621-2024, 2024.

Hong, W., Zhou, L., Xie, X., Zhang, H., and Liang, C.: Modified parameterization for near-inertial waves, Acta Oceanol. Sin., 41, 41-53, doi:10.1007/s13131-022-2012-6, 2022.

Zhang, H.: Modulation of Upper Ocean Vertical Temperature Structure and Heat Content by a Fast-Moving Tropical Cyclone, J. Phys. Oceanogr., 53, 493–508, doi:10.1175/JPO-D-22-0132.1, 2023.

Zhang, H., Chen, D., Zhou, L., Liu, X., Ding, T., and Zhou, B.: Upper ocean response to typhoon Kalmaegi (2014), J. Geophys. Res. Oceans, 121, 6520–6535, doi:10.1002/2016jc012064, 2016.

Zhang, H., Liu, X., Wu, R., Chen, D., Zhang, D., Shang, X., Wang, Y., Song, X., Jin, W., Yu, L., Qi, Y., Tian, D., and Zhang, W.: Sea surface current response patterns to tropical cyclones, Journal of Marine Systems, 208, 103345, doi:10.1016/j.jmarsys.2020.103345, 2020.

Attached zip file includes the revised figure 5-7 according to your comments and the comments of refree 2.

We thank the refree for the careful review and comments, which are beneficial for the improvement of this manuscript. We have revised the whole manuscript according to the comments, the special responses are as follows:

(1) The writing of this whole manuscript is revised, with the revisions as follows:

 The abstract is rewritten, especially the following sentences are revised to include the main results and potential applications: “The dataset captures … and ocean dynamics” are revised to “The data reveals air-sea interactions and oceanic processes in the upper and bottom ocean, especially the transition of air-sea interface and ocean conditions from summer to winter monsoon along with the effects of six tropical cyclones on the moored array. The multiscale processes such as air-sea fluxes, tides, internal waves and low-frequency flows were also recorded. The data is valuable and has multiple potential applications, including analysis of the phenomena and mechanisms of air-sea interactions and ocean dynamics, as well as validation and improvement of numerical model simulations, data reanalysis and assimilations.”

The main body of the manuscript has been revised based on the refree’s comments. Especially, the links between text and figures are improved by adding the words such as ‘(Fig. 1a)’ to ‘(Fig. 10j)’ to indicate which figure or subfigure the sentences refer to. The time when the tropical cyclones (TCs) were closet to the moored stations were added in Figure 4 to 10 with dashed lines and name of the TCs, for the reader to better view the influence of TCs and following the text. The explanation of deployment, maintenance and recovery of the moored stations are added in chapter 2.1. The dataset description chapter (chapter 2.2) is enriched to give more details of the observation instruments and the data. Other minor revisions are done based on the refree’s comments.

The conclusion chapter is rewritten, the details of the observation and instruments have been moved and merged into dataset description chapter (chapter 2.2). The conclusion chapter is enriched to explain that the dataset captures the influence of 6 tropical cyclones and the transition of summer monsoon to winter monsoon during 2014-2015. A paragraph is also added to explain the potential applications of the dataset. We think that the dataset can be used for the study of multiscale air-sea interaction and oceanic processes, such as phenomenon and mechanism studies, numerical simulations and data reanalysis or assimilations.

(2) All the figures and tables in the manuscript are replotted or modified, with the revision as follows:

Information of tropical cyclone (TC) Hagibis and Matmo are add in Figure 1a, as the two TCs may also influenced the moored array during observation.

The information of observation time range in table 1 is revised according to the voyage records for the deployment and recovery of the moored stations. The anchor weight, tether length and the estimated depth of ADCPs on the moorings are added in Figure 1b and Figure 3. The information of bin sizes of ADCPs are added in Table 2. The horizontal movement of buoy 3 near its initial position is also added in Figure 3.

Figures 4-10 are replotted with the time range during the deployment and recovery of the stations. That is to say, the data before deployment and after recovery are not shown in figures now. The data are simply quality controlled with the missing data or unreasonable data removed in Figures 4-10. Furthermore, the time when the TCs closest to the moored stations are added with dashed lines and TC names for the readers easier to see the influence of the TCs.

Reanalysis data from ECMWF Reanalysis v5 (ERA5, https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5) are added in Figure 4 (green lines) to check the performance of the two meteorological observation systems.

Figure 5b is redrawn with the interpolation of currents corrected, while time variation of the depth of the two ADCPs on mooring 2 is also added (black line).

(3) For the sketch of background circulation in the South China Sea, we plot Figure R1 for the map with circulation arrows and geographic features, which is drawn according the Figure 1 in Cai et al., (2020), which represent the upper, middle and bottom background circulation in the South China Sea. However, as study of background circulations in are not the goal of this manuscript, we may not put it into the main body of this manuscript.

(4) Attached zip file contains the revised figures 1-10 and figure R1.

Reference:

Cai, Z., Gan, J., Liu, Z., Hui, C. R., and Li, J.: Progress on the formation dynamics of the layered circulation in the South China Sea, Prog. Oceanogr, 181, 102246, doi:10.1016/j.pocean.2019.102246, 2020.

Thank you for the comments. The text of the whole manuscript is revised and the figures are redrawn in the revised manuscript, the response to particular comments are as follows:

The abstract is rewritten, especially the following sentences are revised to include the main results and potential applications: “The dataset captures … and ocean dynamics” are revised to “The data reveals air-sea interactions and oceanic processes in the upper and bottom ocean, especially the transition of air-sea interface and ocean conditions from summer to winter monsoon along with the effects of six tropical cyclones on the moored array. The multiscale processes such as air-sea fluxes, tides, internal waves and low-frequency flows were also recorded. The data is valuable and has multiple potential applications, including analysis of the phenomena and mechanisms of air-sea interactions and ocean dynamics, as well as validation and improvement of numerical model simulations, data reanalysis and assimilations.”

For the discussion, following sentences are added to explain the potential applications of the dataset: “In addition, ocean data may have recorded multiscale air-sea interactions and ocean processes, such as air-sea heat and momentum fluxes, ocean tides, internal waves, seasonal variations in temperature, salinity, and flows, as well as background processes, such as mesoscale eddies and local circulations. The data has already been used for the analysis of the air-sea and ocean variations on the moored array (Quan et al., 2022; He et al., 2024), validation of ocean (Zhang et al., 2016; Liu et al., 2020; Lu et al., 2023) and air-sea coupled (Wu et al., 2020; Lim Kam Sian et al., 2020; Liu et al., 2024) model simulation, check the parameterization of air-sea surface flux (Zhang et al., 2020; Liu et al., 2024), investigate the mechanisms and theory of ocean response to tropical cyclones (Hong et al., 2022; Zhang 2023). The dataset has the potential for further studies in these fields, while may also be used for other fields such as data reanalysis and assimilations.”

For the improvement of the link between text and figures the link between text and figures are improved in the whole manuscript by adding the words such as ‘(Fig. 1a)’ to ‘(Fig. 10j)’ to indicate which figure or subfigure the sentences refer to. The time when the tropical cyclones (TCs) were closet to the moored stations were added in Figure 4 to 10 which dashed lines and name of the TCs, for the reader to better view the influence of TCs and following the text.