the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Multi-year observations of near-bed hydrodynamics and suspended sediment at the core of the estuarine turbidity maximum of the Changjiang Estuary: the NP-ChaM campaign
Abstract. A comprehensive multi-year field campaign, the North Passage Channel Measurements (NP-ChaM), was designed and executed to enhance our understanding of the hydro- and sediment dynamics in the North Passage, the primary navigation channel of the Changjiang Estuary, China. The NP-ChaM campaign comprised eight observational sites and spanned 50 days, distributed over four years, including two dry seasons and two wet seasons. A series of tripod systems, equipped with multiple instruments, were deployed on the seabed to monitor near-bed physical processes reliably.
The resulting dataset comprises: (i) fluid motions, encompassing pressure, flow velocity and direction (at the bottom and throughout the entire water column), and wave patterns; (ii) near-bed environmental conditions, including temperature, salinity, and turbidity (at the bottom and across a near-bed 1-meter range); (iii) supplementary meteorological data sourced from credible providers; (iv) preliminary results from post-processing showcasing the practical application of the data, such as lateral flows and turbulent kinetic energy characterizations.
This dataset is especially valuable due to its extensive temporal and spatial coverage, and the high concentrations characterizing many of the observations (from several g/L to tens of g/L). Conducted annually from 2015 to 2018, the NP-ChaM campaign facilitated detailed observations of seasonal variations in environmental conditions and associated physical processes. The eight observational sites, positioned on either side of the deep channel, enables quantifications of channel-shoal exchanges, along-channel flow dynamics and saltwater intrusion. This dataset is suitable for advancing our understanding of along-channel and cross-channel dynamics in a channel-shoal system, and for calibrating numerical models. The dataset has undergone rigorous quality control to ensure reliability and accuracy.
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RC1: 'Comment on essd-2024-400', Anonymous Referee #1, 14 Nov 2024
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The authors of "Multi-year observations of near-bed hydrodynamics and suspended sediment at the core of the estuarine turbidity maximum of the Changjiang Estuary: the NP-ChaM campaign" present a concise description of their data set.
The data set is valuable and I am sure of great interest for the community, not only because of its scope and the physical parameters derived from raw data, but also because of the location and the physical processes, which control mixing, stratification and advection at the study site. The text puts the data set nicely into context and presents initial results, which allow the ready to assess its applicability. The data itself are in a good shape and pretty self-explanatory.
There are a few minor issues, which need to be addressed before publication, see comments below.
One thought I had, if I may … the text (L353) says that the user is “encouraged to contact the authors for more details on the data”. I find this statement controversial. As I understand the mission of ESSD, it is exactly this text here, which should present those details. From my point of view, the only reason for text around data is to enable people to use it - without contacting the authors, at least not to learn only about “details on the data”.
1 Introduction
L51 "tidal pumping mechanisms (Du et al., 2022; Grasso et al., 2018; Jiang et al., 2013)"Not sure about these references. Each paper includes a discussion of tidal pumping, yes, but some of them do not really talk about the mechanisms causing tidal pumping to contribute to transport. These mechanisms (among others) could be tidal trapping (Okubo, 1973) or triggered by along-channel irregularities in cross-sectional area, see papers cited in, e.g., Geyer and Ralston (2011).
Okubo, A. (1973). Effect of shoreline irregularities on streamwise dispersion in estuaries and other embayments. Netherlands Journal of Sea
Research, 6(1–2), 213–224. https://doi.org/10.1016/0077-7579(73)90014-8Geyer, W. R., & Ralston, D. (2011). The dynamics of strongly stratified estuaries. In Treatise on estuarine and coastal science (pp. 37–51). Elsevier. https://doi.org/10.1016/b978-0-12-374711-2.00206-0
L51 "have impacts on" -> have an impact on
L52 "high turbidity will suppress turbulence mixing" more precise ... sediment-induced stratification can suppress turbulent mixing
L53 "locations of ETMs are usually highly turbid with active" well, the abbreviation "ETM" already implies that turbidity is comparatively high, please rephrase
L54 "including reclamation and engineering structures significantly affect turbidity levels and the ETMs"
This is very general ... reclamation probably refers to the loss of intertidal area; what about channel deepening? If you cite that Winterwerp paper, please formulate a bit closer to the actual processes. Otherwise, there are more general texts on the subject, which you can cite.
L66 "within the passage, are still poorly" -> within the passage are still poorly
L77 "The outcomes of this dataset are manifold: ... developing AI-based predictive tools tasked with resolving near-bed high-SSC suspension dynamics"
These outcomes you are talking about, did this already happen, or is this science fiction? If anything has been published (and it has, right?) please include the citations here. If this is ongoing or planned, please make this clear.
2 Area description
L88 "bifurcation orders" what are "bifurcation order"? I guess you are referring to the branch-channel-passage "order"? Please explainL94 "source for the inner shelf" source of what? Freshwater, sediments, nutrients ...
3 Design of the campaign
L117 You might consider to cite Becker et al. (2018), who show how inverse salinity profiles are a side effect of differential advection in presence of sediment-induced density stratificationBecker, M., C. Maushake and C. Winter (2018). "Observations of Mud‐Induced Periodic Stratification in a Hyperturbid Estuary." Geophysical Research Letters 0(0).
L121 "synergistic impacts" sounds nice, what does this mean?
L146 channel-shoal systems ... you might cite Geyer et al. (2020) - which you cite later in the text anyway
Geyer, W. R., D. K. Ralston and J.-L. Chen (2020). "Mechanisms of Exchange Flow in an Estuary With a Narrow, Deep Channel and Wide, Shallow Shoals." Journal of Geophysical Research: Oceans 125(12): e2020JC016092.
4 Methodology
L183 "a high sampling frequency of 16 Hz" 16 Hz is not particularly high for an ADV. 32 Hz would be quite normal, and since some time and in certain conditions 64 Hz is possible, tooIn which coordinate system did you collect the data? How did you rotate velocities from beam over instrument to earth coordinates? Same question for the ADCPs, coordinate system, and rotation? Please describe in the text.
L184 "capturing accurate velocity data" Would you include these data in the data set, if they weren't accurate?
L188"Water elevation, salinity, temperature, and turbidity were measured by the OBS"
I guess you are saying that you determined water level elevation from the pressure sensor, which is contained in the OBS-3A, right? Could you make this clear, otherwise it reads as if you are using a backscatter sensor to measure pressure - see also L260
L214 "ship-installed mud collector"
Please include the OBS-SSC calibration curves in this data publication. Your data set obviously contains SSC as a parameter, which is not measured but derived from optical backscatter
L218 "The ASM was calibrated together with the OBS"
Do you see the vertical stripes in the data (Figure 12)? It seems that there are some systematic errors, which might be a side effect of the strategy you applied to calibrate the ASM. They are not dramatic, though, right? The patterns are still there. However, the ASM consists of a lot of individual OBSs. Please describe how you calibrated all these small OBSs. Note, I'm asking this because you included SSC in the data set. You could choose to include only raw data, provide what you have in terms of calibration data, and leave the calibration to the user. But as long as you choose to provide second order parameters, the way how you arrived there should be clear.
5 Results
L221 "operational interruptions occasionally arose" -> "operation was occasionally interrupted"L238 "Wind data was sourced from the" is that correct? Please check and rephrase
L303 Did you despike the ADV data? For example, using a method in the line of Goring and Nikora (2002)? I believe it is fair to say that this is common practice. Spikes in ADV data can contribute substantially to the variance of the fluctuations, and corrupt the TKE estimate. If not, why was that not required? Please describe this in the text.
Goring, D. G. and V. I. Nikora (2002). "Despiking Acoustic Doppler Velocimeter Data." Journal of Hydraulic Engineering 128(1): 117-126.
L313 The use of PSU as salinity unit is outdated, I suggest to follow www.teos-10.org, especially in a recent publication on data
L353 "encouraged to contact the authors for more details on the data" see above
Citation: https://doi.org/10.5194/essd-2024-400-RC1
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