Comparison of methods to derive radial wind speed from a continuous-wave coherent lidar Doppler spectrum

Held, Dominique P.; Mann, Jakob

doi:https://doi.org/10.5194/amt-11-6339-2018

Articles | Volume 11, issue 11

https://doi.org/10.5194/amt-11-6339-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-11-6339-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 11

Research article

|

27 Nov 2018

Research article |

| 27 Nov 2018

Comparison of methods to derive radial wind speed from a continuous-wave coherent lidar Doppler spectrum

Dominique P. Held and Jakob Mann

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Final revised paper (published on 27 Nov 2018)
Preprint (discussion started on 13 Aug 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Wind lidar', Anonymous Referee #1, 02 Sep 2018
- AC1: 'Response to review comment #1', Dominique Philipp Held, 09 Oct 2018
RC2: 'Needs more clarity', Anonymous Referee #2, 11 Sep 2018
- AC2: 'Response to review comment #2', Dominique Philipp Held, 09 Oct 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Dominique Philipp Held on behalf of the Authors (12 Oct 2018) Author's response Manuscript

ED: Referee Nomination & Report Request started (20 Oct 2018) by Ad Stoffelen

RR by Anonymous Referee #1 (29 Oct 2018)

RR by Anonymous Referee #2 (02 Nov 2018)

Suggestions for revision or reasons for rejection

The manuscript is much improved: easier to follow, more coherent background and motivation, contextualized results. Some minor comments which still must be addressed before publication:

- The abstract is still confusing in terms of the conclusions. You say
“the maximum method […] performs best at mitigating the volume averaging effect”
“The median method […] resulted in the overall lowest RMSE”
which sound contradictory. Which is better after all? Is RMSE not a measure often use to determine which “performs best”? Can you be more explicit here, i.e.
lidar can be used to obtain either high-frequency point measurements of wind speed, or mean conditions over space and time [I am not sure this is right, I am just giving you an example of what would make your results more clear in the abstract]. Our results indicate that the median method is superior for the former approach, while all three methods (centroid, median and maximum) provide similar results when the focus is on spatiotemporal averages of the wind field. [plus something about the maximum method performing better at mitigating volume averaging?]

- Reword “point-like” — not clear what is meant — spatially precise? as if there was no averaging at all? Can lidars provide point measurements? Please be more explicit.

- There are still typos in the text. Some are marked in the attached pdf.

- Other suggestions to improve the text are marked in the attached pdf.

- Since most people will likely only read the abstract and conclusion, I recommend spending a bit of time on those two sections and making them stand alone -- delivering key motivation, results, and implications so that the take-home messages can be gained from them without reading the rest of the manuscript. Your work will be more citable this way!

Referee Report: PDF

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ED: Publish subject to minor revisions (review by editor) (04 Nov 2018) by Ad Stoffelen

AR by Dominique Philipp Held on behalf of the Authors (09 Nov 2018) Author's response Manuscript

ED: Publish as is (16 Nov 2018) by Ad Stoffelen

AR by Dominique Philipp Held on behalf of the Authors (16 Nov 2018)

Short summary

In this paper we study the effect of different methods to derive the radial wind speed from a lidar Doppler spectrum. Numerical simulations and experimental results both indicate that the median method has slight improvements over the centroid method in terms of turbulent attenuation and also showed the lowest root mean squared error. Thus, when the aim is to reduce the volume averaging effect and obtain time series with a high temporal resolution, we recommend using the median method.