Responses to the interactive comment on “Measuring dynamic wake characteristics with nacelle mounted LiDAR systems” by Inga Reinwardt et al., manuscript number: wes-2019-89 Responses to the referee:

Specify the objectives of the paper clearly, not only the campaign. What do we learn by reading the paper? I would suggest removing lines 4 5 as no discussion on the optimization procedure is done in the paper itself. Response: Line 4-5 were removed. Introduction L 13: Engineering models like the Frandsen model are intended to calculate mainly the wake deficit and shape and not the wake induced turbulence. It should be clearly stated. Response: As far as we know, the Frandsen model is commonly used in the industry to calculate the wake induced turbulence and is also recommended in the IEC guideline. What kind of model do you mean here? L 24: What is meant by 2D wind field here? The lidar can measure 1D (LOS direction only) and 3D in terms of space (have the pulsed technology with range gates). Please clarify. Response: The text passage was rephrased to: “Especially, the so-called scanning LiDAR systems offer great potential for detailed wake analysis. These LiDARs are capable of scanning a three-dimensional wind field, so that the line of sight (LOS) wind speed can be measured subsequently at different positions in the wake, thus enabling the detection of the wake meandering as well as the shape of the wind speed deficit in the MFR. ” At the end of the introduction a paragraph should be added stating clearly the objectives of the paper. A small reference on the content and structure of the following sections could also make the work easier to follow. Response: A clear outline of the objectives was added and a small overview of the structure of the following sections was given: “Thus, a detailed comparison of the predicted degradation of the wind speed deficit between the DWM model and the measurement results is possible. Furthermore, the collected LiDAR measurements are used to recalibrate the DWM model, so that the wake degradation can be modeled more precisely. As a consequence, the calculation of the loads as well as the energy yield of the wind farm can be improved. The remaining document is arranged as follows: in Section 2, the investigated wind farm and the installed measurement equipment are described in detail. Afterwards, in Section 3, an explanation of the data processing and filtering of the measurement results is given. Sections 4, 5, and 6 focus on the description of the theoretical background and a hands-on implementation of the DWM model is introduced. Based on the outlined measurement results, a recalibration of the defined degradation of the wind speed deficit in the DWM model is proposed in Section 6. A summary of the measurement results can be found in Section 7 and a comparison to the original DWM model as well as the recalibrated version is presented in Section 8. Eventually, all findings are concluded in Section 9. ” Wind farm L 67-68: As I understand load measurements are not used in the study, what is the relevance of mentioning the load sensors here Response: The load measurements should be used in a subsequent publication and should be used to further verify the recalibration of the DWM model. A hint to future objectives is