Articles | Volume 21, issue 5
https://doi.org/10.5194/os-21-1891-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Effect of nonlinear tide–surge interaction in the Pearl River Estuary during Typhoon Nida (2016)
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- Final revised paper (published on 03 Sep 2025)
- Preprint (discussion started on 03 Jul 2024)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on egusphere-2024-1940', Anonymous Referee #1, 12 Aug 2024
- AC1: 'Reply on RC1', Linxu Huang, 10 Sep 2024
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RC2: 'Comment on egusphere-2024-1940', Anonymous Referee #2, 16 Aug 2024
- AC2: 'Reply on RC2', Linxu Huang, 13 Sep 2024
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Linxu Huang on behalf of the Authors (20 Sep 2024)
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ED: Referee Nomination & Report Request started (15 Oct 2024) by Joanna Staneva
RR by Anonymous Referee #1 (01 Nov 2024)
RR by Anonymous Referee #3 (17 Jan 2025)
ED: Reconsider after major revisions (13 Feb 2025) by Joanna Staneva
AR by Linxu Huang on behalf of the Authors (17 Mar 2025)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (02 Apr 2025) by Joanna Staneva
RR by Anonymous Referee #1 (14 Apr 2025)
ED: Publish subject to technical corrections (15 May 2025) by Joanna Staneva
AR by Linxu Huang on behalf of the Authors (19 May 2025)
Manuscript
Title: Effect of nonlinear tide-surge interaction in the Pearl River Estuary during Typhoon Nida (2016)
Author(s): Linxu Huang et al.
MS No.: egusphere-2024-1940
The authors investigated a storm tide in the Pearl River Estuary during Thyphon Nida. They are interested in tide-surge interaction and evaluated the influence of some terms.
First, the investigation is done in a very complex and shallow area. In this paper these two issues are not discussed complete. It should be discussed first. I think it is very important for the tide-surge interaction elevation. The authors show results in the last results chapter.
The speed of the typhon’s movement could also be investigated with this model, i.e. a slow-moving Nida. I miss also wind speed and wind direction.
They mentioned, that the typhon occurred during spring tide. Could the spring tide get higher, and the resulting total water level could be higher?
I did not quite understand why the focus was only on the contributions from tide surge interaction.
In the paper, I was sometimes confused about terminology. My impression was, that the terminology storm surge included tides or not (line 20-21). My suggestion would be:
Total water level during this event = storm tide (ζT ) = tide (ζT) plus (atmospheric) surge (ζS) plus tide-surge interaction elevation (ζI)
ζTS = ζT + ζS + ζI
residual level, ζR, the ‘residual’ = storm tide minus tide = (atmospheric) surge plus tide-surge interaction elevation
ζR = ζTS − ζT = ζS + ζI
Well, I saw in other papers they used your terminology, but I still think this one is better.
Sometimes the authors changed the name of the variable in the paper. Please standardize the terms in the text and in the figures.
I think with my above suggestions the abstract should be rewrite.
Line:
21 I think in this case you mean with the above definition storm tide
36-39 Is this still so?
59-66 In all cases the bathymetry and the local environment should be considered.
67-68 This connection is not clear to me.
77 I would say that good forecasting is needed to make forward-looking decision for coastal protection.
80-81 How big is the difference between neap and spring tide at the Guangzhou gauge?
98-111 The description of the Typhoon could be more detailed. Was the Typhoon a fast or slow-moving typhoon? I miss also wind speed and wind direction.
105 -106 This sentence belongs in the introduction.
108 Figure 1a TD, TS, STS, TY?
Figure1c: The scale of the bathymetry is relatively smooth. Especially, the scale the bathymetry of the estuary could be better. Why do you have -10m ?
158-162 How many model days does the model need to work?
163-165 Is this important for the model setting?
166-169 To make this sentence clearer, you should delete the explanation of ‘practical storm surge elevation’ and explain it in the next sentence. You should change the total water elevation ζT+S to ζTS
175-212 Actually, these are results.
184 Please, use the same y-axis for all stations, so from 0 to 5m
185 Is this really the modeled astronomical tide or the modelled total water level?
188-193 I am wondering that you compare observed water levels (including weather) with astronomical tides (without weather). The low water is not so good simulated. Why?
202-205 How do you define negative surge levels in this area? Please specify it clearer in the figure 3. I have not understood this comment.
207: The legends could be larger
211 Table 1: What do you compare “tide plus pure storm surge” or the simulated total water level with the observations? Is there a difference between tide and storm surge or do mean the period of data?
212 A table with the results for the three gauges and the five stations/points would be nice.
215 The information, that the typhoon occurred during spring tide should be included in the motivation.
218 You should change storm surge to “total water level” or “storm tide”
221 … as shown in Fig 1c… refers to the points 1-5 and not to the interaction.
221 “Notably, the water depth at points P1, P2, and P3 exceeds 10 m, while the water depth at points P4 and P5 is less than 10 m.” This information belongs in 2.4. Model setting. P1 to P3 look like a fairway channel. Are there changes if the points are 1 km away from the channel?
224 You write about “nonlinear residuals levels” and in the figure 4b.,., the title is “nonlinear elevation” . Perhaps it is easier to use the term ‘tide-surge interaction elevation’ for both.
227 Why is the decrease significant?
238 nonlinear residuals (ζNon) = nonlinear residual level (ζI)
242 maximum negative value = minmum?
246 & 250 negative maxima = minimum?
214-281 I am wondering that the bathymetry, the wind direction and the wind speed are not included in the result chapter. I think they are very important for the calculation of the tide-surge interaction elevation. Due to the shallow bathymetry and the tides, there is an overestimation and underestimation of the surge. You can already see this in Figure 4. I miss also the regional aspects, e.g. whether the P4 or P5 are upwind or downwind of the wind direction. Also, it would be easier to understand the steps, if there some vertical lines in the time series marking the date of the 2D-images on the left side in Figure 4. The same y-axis could also help to compare the results (in all figures)
How do you define significant?
238 & 169 Is nonlinear residuals (ζNon) = nonlinear residual level (ζI) ?
278 Table 2 and Table 3
It would be nice to have the absolute maximum water levels.
In table 2, for each point 1 to 5 you have calculated the contribution to the total high water.
The sum of tide and practical tide = 100% = total high water.
In the right column, we see the overestimation of surge, because
Surge + Nonlinear effect = practical surge.
From Figure 4 the total water level was lower than 2m at each point. The nonlinear effect is lower than 2m times 15 %= 0.3m. What do I learn for the forecast of storm tides?
280 For what do I need table 3? What do I learn?
At least 75 % of the total water level is from the tide. Is table 3 important for the coastal protection?
318 Table 6, I am wondering what is the basis of the calculation. How do you calculate 193.17 % practical surge for P1
282-514. The authors did a lot of investigations, but for me it is not clear for what. How can you improve the prediction of water levels with your investigations. Haven’t such studies been carried out for other coasts and estuaries?
For me it would be more interesting to know how high the contribution to the total water level is and what influence the bathymetry has. It is described, but very briefly and more as a by-product.
What is new and help to improve the forecast models?