A new method for directly measuring atmospheric turbulence parameters based on coherent Doppler wind LiDAR is proposed in the preprint manuscript. The spatiotemporal distribution map of the power-law exponent of the inertial subrange is published, which indicates the heterogeneity of atmospheric turbulence at different altitudes, and also indicates that the power-law exponent at high altitudes does not fully comply with the −5/3 power law. the detection results under clear sky turbulence and cloudy weather are compared. The detection results were compared under clear and cloudy weather, respectively. I was very interested in this method and the results of the detection, but when I carefully reviewed the manuscript, I found that some issues needed to be resolved before they could be published in the journal. Therefore, my opinion is that major modifications are needed, and the specific suggestions can be found in the supplement.

The manuscript presents a method to directly determine two atmospheric turbulence parameters – turbulent kinetic energy (TKE) and power component – using measurements from a coherent Doppler wind lidar. Due to my expertise remit, I am unable to justify the novelty of the proposed approach; however, as an experienced academic writer in urban climate, I do find there is room for improvement in this manuscript before potential publication.

Specifically, could the authors please address the following concerns/questions:

- Clarify the term "atmospheric turbulence parameters" early on. There are numerous ATPs; for clarity in this work's context, use "power component" in the title and elaborate on this in the introduction.

- Figure 1 is not a topographic map - provide more convincing evidence to represent local terrain features.

- Table 1: Verify the units of sample frequency and temporal resolution of wind profile data.

- Section 3.1 lacks essential details about how these parameters were derived from measurements:

   - The turbulence power spectrum S

   - Turbulent kinetic energy κ

- In section 3.2, when comparing power spectra, justify why measurement heights for wind lidar differ from those used with anemometers.

- For figure 2, employ a scatter plot to enhance clarity.

- Line 191: "2022 January 1" - Choose an appropriate date format in English.

- Line 210: Clarify what is meant by "due to a lack of light."

- Figures 3 and 7:

   - Specify the temporal resolution of results displayed.

   - For panels d, e, and f, narrow down the y-axis range to highlight result variations more effectively.

- Figures 4, 6, and 8: State which instrument was used for taking measurements in each caption clearly.

- Figure 11:

   - Include both: a) number of data points b) linear regression analysis between two methodologies

   - Omit “kinetic energy” from axis labels.

   - Standardise plotting ranges on both x and y axes for consistency.

- In your conclusion section discuss any limitations in the developed approach.