Articles | Volume 19, issue 17
https://doi.org/10.5194/amt-19-5633-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Dust radiative effects and impact on energy production over the Mediterranean Basin
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- Final revised paper (published on 07 Sep 2026)
- Supplement to the final revised paper
- Preprint (discussion started on 27 May 2026)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
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RC1: 'Comment on egusphere-2026-2775', Anonymous Referee #1, 11 Jun 2026
- AC1: 'Reply on RC1', Dimitra Kouklaki, 29 Jul 2026
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RC2: 'Comment on egusphere-2026-2775', Anonymous Referee #2, 26 Jun 2026
- AC2: 'Reply on RC2', Dimitra Kouklaki, 29 Jul 2026
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AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Dimitra Kouklaki on behalf of the Authors (29 Jul 2026)
Author's response
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ED: Publish as is (17 Aug 2026) by Lionel Doppler
AR by Dimitra Kouklaki on behalf of the Authors (21 Aug 2026)
Author's response
Manuscript
I found the manuscript interesting and generally well written. In particular, the Introduction provides a clear and informative overview of the scientific background and motivation of the study. I recommend a number of clarifications and minor revisions that would improve the manuscript's clarity, reproducibility, and overall presentation prior to publication.
MAJOR COMMENTS:
- Please include a clear definition of the reported losses, preferably inlcuding the corresponding equation. The reference used to compute the percentage losses should be explicitly stated. Some related definitions appear later in the manuscript (Line 375), but this concept should be introduced earlier and described in greater detail.
- A map showing the geographical distribution of the considered sites would help the reader better understand the study area and the analysis presented in Section 2.
- Methodology: a description of the broadband radiation measurements is missing. Please provide information on the measurement sites, instruments/sensors, measured variables, quality-control procedures, and any other relevant details.
- How is GTI obtained from SSR? Please clarify the procedure used for this conversion, as this step can introduce significant uncertainties. If this calculation is performed internally within GSEE, please state so and briefly describe the methodology in the Section 2.
-The description of the GSEE implementation is not sufficiently detailed. Please specify explicitly which irradiance components (GHI, DHI, DNI and/or plane-of-array irradiance) were provided as inputs to GSEE for each simulation setup (measurements, libRadtran and METAL-WRF), and clarify whether the transposition to the PV plane was performed internally by GSEE. Also include some details in the PV generation model.
- Figure 4: please clarify what is meant by "solar energy loss". Does it refer to tilted irradiance, PV energy production, or another quantity? Also indicate the reference used for the normalization and percentage calculations.
- Please include the optimum fixed tilt angle used at each site.
- Please provide more details on the clear-sky selection procedure.
MINOR COMMENTS:
- L35 - Please clarify that the sensitivity analysis is performed under clear skies conditions
- Fig.1. the figure is difficult to interpret. Is the color coding important for the analysis? If so, please clarify its meaning and improve readability.
- There is a missmatch between figure numbering and the figure references in the text. (e.g. Figures 5, 6 an 7). Please check figure numbering throughout the manuscript. Also, use a consistent format when referring to figures. For example Fig. X
- Ssec 3.3 Please refer to figures in order of appearance. For example, Fig. 11 appears referenced before Fig. 9.
- L260: fixed tilt: which angle?
- Fig. 9 and Fig. 11: please indicate which days are considered clear-sky cases.
- In the sensitivity analysis, please specify the wavelength associated with the reported AOD values.
- Fig. 11 and Fig. 1comparing outputs from a clear sky radiative transfer model (libRadtran in this case) with measurements affected by cloudiness is difficult to interpret and does not provide a meaningful assessment of model performance.
- conclusions: consider removing "Under cloudy conditions, the comparisons lead to greater differences and an overall overestimation in the case of libRadtran", as this result is expected when comparing clear-sky simulations with cloudy-sky observations.
SUGGESTIONS:
- Consider including a glossary of the main acronyms and variables used throughout the manuscript.
- L120: is there any estimate of the annual energy losses associated with dust events over the study region? Although outside the main scope of this work, such information could help place the reported event-scale impacts into a broader context.
- Since completely clear days are relatively scarce, the authors could consider using clear-sky periods selected from different days (even when a full day is not entirely cloudless) through the application of a clear-sky detection algorithm. This could potentially increase the amount of data available for the final analysis.