We would like to thank Reviewer 1 for the very positive assessment of the manuscript and the helpful suggestions for improvement. Below, we repeat each of the reviewer comments and respond. Our responses begin with the symbol “**” and are shown in italics. All line numbers quoted in our reply refer to the revised version of the manuscript developed in response to the reviewer comments.

The manuscript investigates the possible causes of long-term changes in the coastline in Australia, analysing data of wave climate, storm surges and coastline position over the past few decades. The data oceanographic data mostly stem from simulations with ocean models with data assimilation or forced by observed atmospheric forcing. 

The main conclusion is that, in this part of the world, the changes in the coastlines can be attributed to changes in the wave intensity and direction and possibly also to changes of storm surges, whereas the impact of sea level rise is more questionable, as it does not agree with a general retreat of the coastline over all areas analysed.

Recommendation: I had the impression that this manuscript version has already undergone a previous peer review. However, I see it for the first time, so I am unaware of previous exchanges between the authors and reviewers. 

In general, the manuscript is already in good shape. It is well-written, and the structure is adequate. The analysis is also technically sound. The conclusions are also logically derived from the data analysis.  I have some minor comments that the authors may want to consider, in particular concerning the clarity of the abstract. My recommendation is that the manuscript requires only minor changes.

 **We thank Reviewer 1 for the positive assessment of the quality of the manuscript.

Main point 

1)    The abstract devotes too much space for general comments on climate changes and changes of the wave climate, which actually would fit better in the introduction, but it is rather uninformative in terms of methods, data sets used and results. For instance, the abstract does not mention which type of data has been used and which methods have been applied to derive the conclusions. The study's conclusions are very briefly mentioned - more details would make the abstract much more informative. It does not mention sea-level rise to confirm or rule out it  as a driving force for coastline change. 

**In hindsight, we agree with the reviewer and the abstract has been re-written as follows.

**Numerous studies have demonstrated that significant global changes in wave and storm surge conditions have occurred over recent decades and are expected to continue out to at least 2100. This raises the question as to whether the observed and projected changes in waves and storm surges, will impact coastlines in the future? Previous global-scale analyses of these issues have been inconclusive. This study investigates the south-east coast of Australia over a period of 26 years (1988-2013). Over this period, this area has experienced some of the largest changes in wave climate of any coastal region, globally. The analysis uses high-resolution hindcast data of waves and storm surge, together with satellite observations of shoreline change. All datasets have been previously extensively validated against in situ measurements. The data are analysed to determine trends in each of these quantities over this period. The coastline is partitioned into regions and spatial consistency between trends in each of the quantities investigated. The results show that beaches along this region appear to have responded to the increases in wave energy flux and changes in wave direction. This has enhanced non-equilibrium longshore drift. Long sections of the coastline show small but measurable recession before sediment transported along the coast is intercepted by prominent headlands. The recession is largest where there are strong trends of increasing wave energy flux and/or changes in wave direction, with recession rates of up to 1m/year.

There are also some minor grammatical errors in the abstract, with commas misplaced, as indicated below.

**Corrected in revised abstract.

Minor points

2) ‘storm surges, the question of whether the observed and projected changes in waves and storm surges, will impact coastlines in the future, is important.’

Delete comma after ‘surges’

**Text removed in new version of abstract.

3) ‘At time scales of 2 to 10 years, changes in storminess associated with climate indices (e.g. El Niño) ‘ 

I guess that storminess impacts the coastline independently of whether it is associated with El Niño or not. The sentence is a bit confusingly formulated.

**The point we were trying to make is that, for instance, during an El Niño there may be enhanced storminess, which would result in a sustained impact on the coastline. This is in contrast to more normal periods where storms may impact a coastline but the beaches will then recover in calmer periods. To clarify the point, Lines 32-35 have been re-written as:

**At time scales of  2 to 10 years, changes in storminess associated with climate indices (e.g. El Niño) (Ranasinghe, et al., 2004; Harley, et al., 2011; Barnard, et al., 2015; Vos, et al., 2023) can result in sustained impacts on beach systems.

4) ‘the potential for continued increases in the values of these variables in the future, raises the question as to what impact this may have on sandy coastlines and associated communities’

Delete comma after ‘future’

**Deleted, as suggested, L54.

5) Regional Ocean Modelling System. 

Was observed sea level prescribed as a boundary condition, and if yes, in which way?

**To clarify this point, the following text has been added at L125-128.

**Tidal currents and heights at open boundaries were specified from the TPXO7.2 global model (Egbert & Erofeeva, 2002). TPXO7.2 best fits (in a least squares sense) the Laplace tidal equations and along track averaged data from TOPEX/Poseidon and Jason altimetry data.

6) Bishop-Taylor et al. data

The paragraph indicates the along-shore spatial resolution, but the accuracy of the data (uncertainty range) is also very important to establish changes in the coastline 

**The following text has been added at L138-139 to clarify this point.

** The Mean Absolute Error (MAE) in the trend across these validation points was 0.35 m/year (Bishop-Taylor, et al., 2021).

7) ‘Of course, sea level rise will undoubedly have a major impact in coming years.’

undoubtedly, impact

This assertion might be true, but it appears to be speculative in this study. Actually, the opposite conclusion seems more logical, given that storminess and changes in wave climate have been more important in the past. In which way can sea level rise become more important than the other factors in the future, and why? 

**This is a good point and to avoid unwarranted speculation, the sentence: “Of course, sea level rise will undoubtedly have a major impact in coming years.” Has been deleted at L401.

We would like to thank Reviewer 2 for the very positive assessment of the manuscript and the helpful suggestions for improvement. Below, we repeat each of the reviewer comments and respond. Our responses begin with the symbol “**” and are shown in italics. All line numbers quoted in our reply refer to the revised version of the manuscript developed in response to the reviewer comments.

Review on “The impact of long-term changes in ocean waves and storm surge on coastal shoreline change: A case study of Bass Strait and south-east Australia” by Mandana Ghanavati, Ian R. Young, Ebru Kirezci, and Jin Liu.

The manuscript offers an extensive examination of observed changes in shoreline position within the context of long-term variations in wave climate in south-east Australia. The primary finding is an association between long-term changes in wave climate, specifically in wave energy flux and mean wave direction, and tangible alterations in shoreline position. While the manuscript is generally well-constructed, I have a few comments that could enhance its clarity and depth.

**Thank you for the supportive comments

Abstract: The abstract, though generally clear, requires clarification in certain terms such as "significant global changes," "such changes," and "these issues." Providing more explicit definitions or rephrasing these terms would improve comprehension.

**As noted in the reply to Reviewer 1, the abstract has been re-written to address these issues.

**Numerous studies have demonstrated that significant global changes in wave and storm surge conditions have occurred over recent decades and are expected to continue out to at least 2100. This raises the question as to whether the observed and projected changes in waves and storm surges, will impact coastlines in the future? Previous global-scale analyses of these issues have been inconclusive. This study investigates the south-east coast of Australia over a period of 26 years (1988-2013). Over this period, this area has experienced some of the largest changes in wave climate of any coastal region, globally. The analysis uses high-resolution hindcast data of waves and storm surge, together with satellite observations of shoreline change. All datasets have been previously extensively validated against in situ measurements. The data are analysed to determine trends in each of these quantities over this period. The coastline is partitioned into regions and spatial consistency between trends in each of the quantities investigated. The results show that beaches along this region appear to have responded to the increases in wave energy flux and changes in wave direction. This has enhanced non-equilibrium longshore drift. Long sections of the coastline show small but measurable recession before sediment transported along the coast is intercepted by prominent headlands. The recession is largest where there are strong trends of increasing wave energy flux and/or changes in wave direction, with recession rates of up to 1m/year.

Introduction: It would be better to have a more explicit statement on why previous global-scale analyses were inconclusive and how this study addresses those limitations. This addition would better contextualize the significance of the current research.

**This is an important point and the Introduction has been changed to reflect these points. L57-71 are reproduced below, with L67-71 added to clarify the point made by Reviewer 2.

** Ghanavati, et al. (2023) have investigated this issue at global scale by using long-term modelled wave and storm surge data together with satellite observations of beach recession/pogradation over the last 30 years. They found that, noting the relatively small trends in wave and storm surge conditions over this period, the accuracy of the available data, and other unreleated impacts on shoreline response (e.g. availability of sediment, human impacts), no clear relationship was evident.

The present study extends the Ghanavati, et al (2023) work by examining the south-east coastline of Australia in detail. This is an area where long-term trends in wave conditions are some of the largest in the world, responding to changes in wave climate in the Southern Ocean (Liu, et al., 2022). As a regional area is considered, it is possible to use higher resolution data (both model and satellite) removing uncertainties in the global-scale Ghanavati, et al (2023) study. In addition, the regional-scale study enables an analysis of the role beach compartments play in defining sediment transport. As such, one can investigate changes in longshore drift due to changes in wave climate and the characteristic signature of such non-equilibrium transport with eroding beaches and deposition of sediment behind peninsulas.

Methodology: It would be valuable to understand the approach taken to calculate the shoreline response to waves and storm surges. In particular, the authors mentioned that the shoreline response (L56) has relatively small impact on the global scale. How do the authors justify the same statement for a local scale?  

**As noted in Section 2.3, trend analysis of waves, storm surge and shoreline position are undertaken. The analysis then seeks to determine if there is a qualitative relationship between these quantities. One cannot undertake a simple correlation analysis, as longshore drift can result in some parts of the coast receding, whilst the sediment is deposited in other areas, which will prograde. Therefore, we examine the coastline in segments where the role of individual coastal compartments can be described (Section 3.3). The expanded Introduction (L57-71) now better describes this approach and why it differs from the global analysis.

Sentence Clarity: Consider rephrasing the sentence at L364-366.

**The sentence has been added to the end of the preceding paragraph, to make it clear that it refers to this text and rephrased as (L375-377):

** However, even in a region such as this, where long-term changes in wave energy flux are relatively large, the resulting changes in beach location are only approximately 1.0 m/year or 30m over the study period.

Future Research and Limitations: Add a discussion for future research. Providing further clarification on spatial/temporal limitations and uncertainties would enhance the completeness of the work.

**The following section has been added at L402-420 to discuss possible future work.

** The present analysis provides the first evidence of a causal relationship between long-term climate trends in waves and shoreline change. It does, however, have a number of limitations which should be addressed in future research if a comprehensive understanding of the impacts future projected changes in wave climate may have on our coastlines. These future studies could include:

•    Detailed sediment transport modelling to assess whether the observed changes in wave energy flux and wave direction would be expected to result in non-stationary longshore drift of the magnitude observed in the recorded shoreline position.

•    The extraction of shoreline position from relatively low-resolution satellite images is computationally challenging. The Bishop-Taylor, et al. (2021) dataset represents a significant advance in resolution and accuracy. Further developments in the use of Artificial Intelligence approaches to determining shoreline position are expected to further reduce errors in such data.

•    The present analysis is limited to south-east Australia as there were opportunistic high-resolution datasets of long-term changes in waves, storm-surge and shoreline position available. Dedicated projects modelling specific areas for the purpose of better determining the relationships between changes in these quantities would better quantify the likely impacts of future changes on vulnerable shoreline.

References: References at L460-468 and L475-480. Some items were not mentioned in the manuscript, and there is confusion regarding citations.

**These references are all mentioned in the text:

Liu, J. et al. (2022) – L46

Liu, J. et al. (2023) – L51

Liu, J. et al. (2012) – L109

Meucci et al. (2023) – L57