Next Article in Journal
Multitemporal Feature-Level Fusion on Hyperspectral and LiDAR Data in the Urban Environment
Next Article in Special Issue
Long-Term Measurements of the Atmospheric Boundary Layer Height in Central Amazonia Using Remote Sensing Instruments
Previous Article in Journal
A Novel Framework for Correcting Satellite-Based Precipitation Products for Watersheds with Discontinuous Observed Data, Case Study in Mekong River Basin
Previous Article in Special Issue
Intercomparison of Planetary Boundary Layer Heights Using Remote Sensing Retrievals and ERA5 Reanalysis over Central Amazonia
 
 
Technical Note
Peer-Review Record

Study of the Cn2 Model through the New Dimensionless Temperature Structure Function near the Sea Surface in the South China Sea

Remote Sens. 2023, 15(3), 631; https://doi.org/10.3390/rs15030631
by Feifei Wang 1,2,3, Kun Zhang 1,3, Gang Sun 1,3, Qing Liu 1,3, Xuebin Li 1,3 and Tao Luo 1,3,*
Reviewer 1:
Reviewer 2:
Remote Sens. 2023, 15(3), 631; https://doi.org/10.3390/rs15030631
Submission received: 30 November 2022 / Revised: 16 January 2023 / Accepted: 18 January 2023 / Published: 20 January 2023

Round 1

Reviewer 1 Report

This paper studied the dimensionless near-sea-surface temperature structure parameter function and proposed a new parameterized model for optic turbulence of the near-sea surface over South China Ocean region. The results derived from the new model is promising. This paper could be published after minor revisions.

1.    The manuscript needs proof reading to meet publishable standard.

2.    Symbols in equations should be introduced just after the first-used place in the paper, such as the T* in equation (3).

3.    In page 2 and page 4, the authors defined the abbreviations of model repeatedly. It is unnecessary.

4.     The description of data process in section 2.3 is not very clear. This section should be reconstructed and a flowchart should be added.

5.    The dimensionless temperature structure function (fT) under very unstable conditions has weak relationship with stability and thus a constant under this situation was used in the new model. Possible reasons for this behavior of fT should be discussed. 

6.    The calculation of correlation coefficient ??? and root mean square error (RMSE) should be descripted more clearly. I guess the author used logarithmic Cn2 in the calculation.

 

7.    The transition time of turbulence cannot be observed in diurnal variations of Cn2 in Figure 4. Some discussions should be added.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

 

The authors presented a new method for calculating the structure parameter of air temperature fluctuations based on the use of new functions depending on the stability parameter. We highly appreciate the results of this study. However, we would like to point out a number of remarks:

 

-The authors used data from measurements of temperature fluctuations made using an sonic anemometer and another instruments. For the purpose of understanding the measurement setup, I encourage the authors to include a photo of how your instruments are placed, including a three-dimensional ultrasonic anemometer (CSAT3), an automatic weather station (WXT536), and a micro-thermometers.

 

-Because you use different measuring instruments, please, give the measurement accuracy of each instrument. Moreover, the weather station has probably low accuracy?

 

-The authors present the results of comparing the calculations of the structure parameter of air temperature fluctuations with other models. The consistency of the results obtained using different models is high. At the same time, we would like to note that the effectiveness of the new model should be tested in clear and slightly cloudy conditions, since different cloudness significantly affects the structure of turbulence. In this regard, we recommend that the authors provide a graph of changes in cloudiness or describe in detail the atmospheric conditions in terms of cloudiness, indicating when your model gives the best results.

-You use the correlation coefficient to characterize the relation berween two quantities and give its values in%. We ask you to write the formulas for the statistical parameters used in the manuscript.

- The advantage of the manuscript is that the structural characteristics do not obey the spectral dependence -2/3 under conditions of stable stratification. In our opinion, it would be useful for the authors to clarify the Richardson numbers at which turbulence degenerates in the surface layer under your atmospheric conditions (under your measurements). We would also recommend discussing in more detail the formation of turbulence under stability conditions and the possibility of estimating the parameter CT2 under conditions when the energy spectra degenerate and the spectrum slope becomes less than -5/3.

-It would also be useful for the authors to consider papers related to the study of optical turbulence in the surface layer of the atmosphere using ultrasonic anemometers:

i)Tunick, A. Statistical analysis of optical turbulence intensity over a 2.33 km propagation path / Optics Express , 2007, 15(7), pp. 3619-3628

ii) Shikhovtsev, A.; Kovadlo, P.; Lukin, V.; Nosov, V.; Kiselev, A.; Kolobov, D.; Kopylov, E.; Shikhovtsev, M.; Avdeev, F. Statistics of the Optical Turbulence from the Micrometeorological Measurements at the Baykal Astrophysical Observatory Site. Atmosphere 2019, 10, 661. https://doi.org/10.3390/atmos10110661

iii) Nosov, V.; Lukin, V.; Nosov, E.; Torgaev, A.; Bogushevich, A. Measurement of Atmospheric Turbulence Characteristics by the Ultrasonic Anemometers and the Calibration Processes. Atmosphere 2019, 10, 460. https://doi.org/10.3390/atmos10080460

iv)de Bode, M.; Hedde, T.; Roubin, P.; Durand, P. Fine-Resolution WRF Simulation of Stably Stratified Flows in Shallow Pre-Alpine Valleys: A Case Study of the KASCADE-2017 Campaign. Atmosphere 2021, 12, 1063. https://doi.org/10.3390/atmos12081063.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Authors made corrections and we agree with these corrections. We recommend the manuscript for publication. 

Author Response

Thank you! 

Back to TopTop