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Peer-Review Record

Fog and Low Stratus Obstruction of Wind Lidar Observations in Germany—A Remote Sensing-Based Data Set for Wind Energy Planning

Energies 2020, 13(15), 3859; https://doi.org/10.3390/en13153859
by Benjamin Rösner 1,*, Sebastian Egli 1, Boris Thies 1, Tina Beyer 2, Doron Callies 3, Lukas Pauscher 3 and Jörg Bendix 1
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Energies 2020, 13(15), 3859; https://doi.org/10.3390/en13153859
Submission received: 26 May 2020 / Revised: 20 July 2020 / Accepted: 22 July 2020 / Published: 28 July 2020
(This article belongs to the Section A3: Wind, Wave and Tidal Energy)

Round 1

Reviewer 1 Report

A very interesting analysis on some of the limitations on the use of a wind lidar for climatological measurements of wind speed and direction.

Major comment:

The analysis might be specific for the type of lidar that is applied ( Leosphere WindCube v1 and v2) – which might limit the applicability and generality of the results. The WindCube v1 and v2 lidars are short range lidars with low laser power. There are many lidars (e. g. 100S, 200S and 400S also manufactured by Leosphere) which are much more powerful. The question is how a more powerful laser would perform in cases of fog and low stratus as compared to a v1 lidar. This point needs to be emphasized and discussed. In other words are the results only valid for the  v1 and v2 lidars or are the results also valid for more powerful lidars?

 

Minor comments

  1. Line 79: define the acronym DEM
  2. 2. Very rough resolution along the coast – colors spills into the sea. Improve.
  3. Line 101: Explain and give an impression on how big the height difference is.
  4. Line 105: not clear for me, please clarify how two measurements levels fall in the same bin!
  5. 4: Cloud free is marked in blue and CBA<=100 m in red. This is opposite to the way it is done in  Fig. 5 and Fig. 6. Please be consistent.
  6. I note that in Fig. 4 at a height of 150m the availability of the measurements is about 70%. In Fig. 5 (diurnal  variation), all measurements fall below the 80% threshold, but in Fig. 6 all measurements from march to September (7 months) are above the threshold level. The results in Fig. 6 seems contra-intuitively for me when looking at Fig. 4 and 5 and needs a thorough discussion.
  7. 7. Add availability on the islands in the figure. Here the results are shown for a height of 130m and not 152.5m as in the foregoing figures. Any reason for the change of height – at least it is not explained. I suggest to be consistent and show the results for the same height throughout the manuscript – e. g. 130m.
  8. 9. Add the height in the legend.
  9. 10. It is not clear (explained???) what P8, P13, GWS HM and SWA refers to. Please clarify.
  10. 11. Same as for fig. 10.

Author Response

Major comment:

 

The analysis might be specific for the type of lidar that is applied ( Leosphere WindCube

v1 and v2) – which might limit the applicability and generality of the results. The

WindCube v1 and v2 lidars are short range lidars with low laser power. There are many

lidars (e. g. 100S, 200S and 400S also manufactured by Leosphere) which are much more

powerful. The question is how a more powerful laser would perform in cases of fog and

low stratus as compared to a v1 lidar. This point needs to be emphasized and discussed. In

other words are the results only valid for the v1 and v2 lidars or are the results also valid

for more powerful lidars?

 

Answer:

This is a good point.. The current study is only applicable for the mentioned Leosphere WindCube v1 and v2 Lidars since only data from these models was used in the analysis. A section regarding this point has been added to the manuscript. See manuscript lines 205-210.

 

 

Minor comments:

 

 

Comments

Answers

1.

Line 79: define the acronym DEM

Added definition as suggested see line 79 in manuscript.

2.

2. Very rough resolution along the coast – colors spills into the sea. Improve.

Imrpoved all figures in manuscript as suggested.

3.

Line 101: Explain and give an impression on how big the height difference is.

Added the average height difference to the manuscript. See line 101

4.

Line 105: not clear for me, please clarify how two measurements levels fall in the

same bin!

Added further information about the measurement levels see lines 107-110 in manuscript.

5.

4: Cloud free is marked in blue and CBA<=100 m in red. This is opposite to the

way it is done in Fig. 5 and Fig. 6. Please be consistent.

Good point. Colors in figure 5 and 6 is now adapted to beconsistent with figure 4.

6.

I note that in Fig. 4 at a height of 150m the availability of the measurements is about

70%. In Fig. 5 (diurnal variation), all measurements fall below the 80% threshold,

but in Fig. 6 all measurements from march to September (7 months) are above the

threshold level. The results in Fig. 6 seems contra-intuitively for me when looking

at Fig. 4 and 5 and needs a thorough discussion.

Due to the non associative property of the mean function the total mean can differ from the mean of the groups (month) if the groups have different numbers of items. Therefore it seems that the numbers in figures 4 and 5 don’t match those of figure 6.

7.

7. Add availability on the islands in the figure. Here the results are shown for a

height of 130m and not 152.5m as in the foregoing figures. Any reason for the

change of height – at least it is not explained. I suggest to be consistent and show

the results for the same height throughout the manuscript – e. g. 130m.

The availability on the islands was fixed together with point 2. There actually is no change in height. Based on the threshold definition the maps are valid for heights above 130m a.s.l.. See expanded explanation in the manuscript lines 113-116

8.

9. Add the height in the legend.

Good point. The information was added to the figure captions where missing.

9.

10. It is not clear (explained???) what P8, P13, GWS HM and SWA refers to. Please

clarify.

Further information regarding the weather types and fog patterns were added to the manuscript. See lines 179-182.

10.

11. Same as for fig. 10.

See point 9.

 

Author Response File: Author Response.pdf

Reviewer 2 Report

Please see the attached file for my comments and suggestions.

Comments for author File: Comments.pdf

Author Response

 

 

Comment

Answers

1.

Line 12, suggest to delete “due to availabilities...”.

Removed as suggested.

2.

Line 42, suggest to replace “stronger” with “considerable”.

Here a comparison to the non-fog situations is made. As the decrease of the CNR curve is stronger than in the non-fog situation, we chose the formulation “stronger” - not “considerable”.

3.

Line 46, suggest to replace “advantageous” with “important”.

The word “important” may suggest some kind of necessity. Currently, this information is not available for the optimization of measurement strategies, but the planning process would benefit from this kind of information. From the authors point of view, it is an advantage to have an estimate. Therefore, we suggest to keep the current wording.

4.

Line 47, suggest to add “lidar data” in front of “availability”.

“lidar data” was inserted as suggested

5.

Line 48, replace “spatial impact is” with “spatial and temporal variabilities are”.

The wording was adapted as suggested

6.

Line 53, replace “from data of” with “obtained from”.

“obtained from” was inserted instead of using “of” (line 53).

7.

Line 65-67, move “, which has a temporal...,” between “2014-2017” and “were used”. Yes, it

should be “were” instead of “was”.

The order of the sentence was changed as suggested. Since the sentence refers to a single data set (the MSG data set), we suggest to keep the wording “was” here. (lines 65-67).

8.

Line 79, Again, should be “were”, same for line 80, should be “These data were utilized to...”.

Here also we suggest to keep the word “was” since the DEM is a single data set (lines 79-80).

9.

Line 87, add comma before “were available”.

Added as suggested (line 87).

10.

Line 88, should be “in percentage”.

“percent” is kept since it refers to the unit of the data (line 88).

11.

Line 99, consider to rephrase as “...within one pixel in some complex terrain,...”

“in” was changed to “within” as suggested (line 99).

12.

Line 108, “were not representative...” and remove “was” before “left out”.

Changed “was” to “were” to reflect the plural form of data and removed the second “were” to streamline the sentence (lines 110-111).

13.

Two lines below, what is “intervals” here?

“Intervals” refers to the time period each data point comprises as described in the chapter “Lidar data”. For clarity “(data points”) was inserted (three lines below previous comment).

14.

Line 123-125, this sentence needs to be broken up or rephrased. Here is my suggestion, but the

author probably has better way to do it. It should be “turbines in Germany have been featured a

hub height of...”, and put period after “in the future”. The rest should be a separate sentence.

The sentence was split up as suggested to increase readability (lines 127-129).

15.

Line 125, delete “measurements”.

“CDWL measurements” was removed from the sentence since it should be clear from the context (line 129).

16.

Line 132, should be “are often characterized”

The order of the words in the manuscript is grammatically equivalent to the suggested change. Therefore we suggest to keep the current word order. (line 136).

17.

Line 134-136, this sentence is also confusing. I get what the author is trying to say, but there is sure cleaner way to do it. Also, the author might add some statement why this leads to higher uncertainty of HYFOG.

Further information regarding the impact of the higher uncertainty was added to the manuscript. The higher uncertainty of HYFOG during the summer itself is a fact based on the validation presented in the cited article. From the authors point of view a discussion of the reasons for the higher uncertainty is out of the scope of this manuscript.

18.

Line 146, add comma after “Other factors” and another comma after “periods”. Also, in addition to referring to the reference (16), the author may consider add some statement on why clean air during cloud free condition reduces the lidar data availability.

Commas added as suggested. “low aerosol backscatter” was added as a hint for reduced availability when using lidars (lines 155-156).

19.

Line 151-153, long sentence needs to be rephrased. Delete “half of the year”. Move “on the other hand” to the beginning of the sentence.

“on the other hand” was moved to the beginning as suggested. “(Oct-Mar) was added to clarify “winter half of the year” (lines 161-162).

20.

Line 154, please address more specifically what kind of “special care” is referring to.

“temporal representativity” was added to clarify (line 164).

21.

Line 168, delete “half year” and add commas before “as shown” and after “10 a)” .

Commas added as suggested. For “winter half year” see point 19 (lines 178-179).

22.

Line 171, add comma after “December”.

Comma added as suggested (line 181).

23.

Line 188-191, This is another long sentence that is a little difficult to follow. Try rephrase it.

The sentence was rephrased (lines 203-206).

 

Author Response File: Author Response.pdf

Reviewer 3 Report

The article is interesting. It concerns the estimation of wind parameters for the potential location and construction of wind farms. In recent years, a high growth of this type of investment can be seen in Europe and in the world. The power of wind farms increases every year. The authors conducted the study on the example of Germany - one of the leaders of this type of investment in Europe and in the world. The authors in the article raise the key problem of estimating wind parameters based on available LIDAR measurements. It is more economically profitable and faster than, for example, the construction of meteorological towers, which are expensive (construction and demolition costs) and often require many building permits. Frequently occurring ground fogs, clouds impede the availability of measurement data and even prevent their measurement. The authors present a technology based on machine learning called HYFOG, which allows the calculation of ground fog based on the height of clouds for the whole of Europe, based on data from the Meteosat database. Measurements were made with Leosphere WindCube v1 and v2 CWDL lidars for different heights. The tests were performed in cloudless conditions and with clouds, at different times of the day and year.

The aim of the article was to show that HYFOG can support the prediction of periods with low measurement availability. Data for 2006–17 were analyzed. The article demonstrates on the example of Germany that it is a useful tool for this type of analysis. The result of the analysis is a map of accessibility for the research area.

The method and the designed test method used by the authors are noteworthy. The conclusions were formulated correctly. You can have a slight complaint to the authors of the relatively small number of literature cited. The survey is interesting, the next step may be to check the methodology in other areas where wind farms are located or such investments are planned. The article is at a good technical level. I propose to accept it for publication.

Author Response

Thank you for proposing to accept the manuscript for publication. The authors have updated the list of literature.

Round 2

Reviewer 1 Report

The manuscript is almost ready for acceptance, but the limitations of the results – that are based on observations by WindCube V1 and V2 idars -  and thus in principle only applicable for these lidars, needs to be emphasized already in the beginning of the manuscript – and not at the end of the conclusion as it is now. As the manuscript reads now it easily gives the impression that the results are general – which they are not.

Major comments

1.       I suggest to add already in the abstract on line 6:  add “the applied lidars are WindCube V1 and v2, and the results presented in this study are specific for these lidars.

2.       Line 60: add “carried out with WindCube v1 and V2 lidars

3.       Delete lines 221-222. The reason is that new lidars are being developed, making V1 and v2 obsolete, and in the near future other lidars with different specifications (and software) will be used.

Minor comment

4.       Line 173: delete “less”

 

I managed two download two near identical verasions of the revised manuscript (one version with sentences emphazised). The line numbering in the two manuscripts are slightly different. My review refers to the manusctipt  energies-831143-peer-reviews-v2-pdf.

Author Response

Major comments:

  1. We added the reference to the Windcubes used in this study.
  2. Added as suggested.
  3. Deleted as suggested.

 

Minor comments:

1. Deleted as suggested

Author Response File: Author Response.pdf

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