The manuscript is well-written and the structure is logical. The results are well described. The manuscript may be published after some minor revisions. My comments are as follows:

1. Clearer and higher resolution images are more important for reader understanding

2. Can you consider adding more model evaluation indicators?

3. Show some comparison results with recent studies.

Wes-204-69

Flow acceleration statistics: a new paradigm for wind-driven loads, towards probabilistic turbine design

Mark Kelly

Dear authors,

This paper dealt with the flow acceleration focusing on offshore wind. By employing low pass filtering on the measured data, the characteristics of the influential turbulence related to wind turbine time scale were carefully examined. The manuscript was well written based on rigid data analyses, but this reviewer has following comments.

1) Research objective needs to be clarified in more clear way. Research gap and motivation were unclear because of the structure in abstract and introduction.

2) For determination method of the wind acceleration in Section2, the author examined appropriate ways for the calculation by comparing the methods discretizing the wind speed numerically and based on power spectral density. However, Eq. (1) is not precisely correct because F[ds/dt] = (2pif)F[s], but not (spif)^2S_ss. Please explain why the inverse Fourier transform of the power spectral density corresponds to the wind speed acceleration.

3) In Section 2.1 and Figure 2, the authors showed the effect of the filter on the max and top percentiles; however, the decrease of the values by increasing the cut-off filter time scale is very natural consequences. This reviewer could not follow the physical meaning to show these results as the preliminary demonstration.

4) As for Figure 4, the top 1-10 values are explained, but they are unclear in Figure 4. From the cumulative density in the vertical axis, it is unclear which values correspond to certain percentiles.

5) Figure 6 and 7 are very interesting to see the relationship between the acceleration and statistics. The results are clearly presented to clarify the linear relationship between the acceleration and standard deviation. This reviewer recommends adding the physical