Remote Sensing of Aerosols and Water-Leaving Radiance from Chinese FY-3/MERSI Based on a Simultaneous Method
, Ling Wang 1, Chenqian Tang 3, Na Xu 1, Xianqiang He 2, Shuai Yin 3, Zhihua Zhang 4 and Lin Chen 1
Round 1
Reviewer 1 Report
Comments and Suggestions for AuthorsThis manuscript presents an algorithm of SIRAW for the remote sensing of aerosols and water-leaving (Lw) radiance from Chinese FY-3/MERSI observation. The algorithm is sophisticatedly designed by simultaneously retrieving atmospheric and ocean properties via the Bayesian optimal estimation theory combining a neural network radiative transfer solver. In addition, a vicarious calibration scheme is developed to improve the Lw retrieval accuracy for FY3/MERSI. The manuscript is well-written and the methods presented in this study are novel and of considerable interest to the community. I suggest acceptance of this manuscript, some minor comments are suggested for the authors,
1: The format of cited references throughout the whole manuscript should be unified and carefully follow the demands of the journal.
2: The bold or vector parameters in formulas and their appearance in the manuscript should be unified, such as y shown in L181 and Eq. 4.
3: Please provide the explanation of Tm in Eq. 8.
4: It is confused about the definition of WLR, nLw, and Rrs, please clarify the difference between these parameters or make a unification.
5: Table 3, VisNIR should be modified as ‘visible and near-infrared’.
Author Response
Thank you very much for taking the time to review this manuscript. Your suggestions for revision have inspired me a lot. Your revision suggestions have a great guiding role in improving the quality of my article. We have revised all your comments and suggestions one by one. Please find the detailed responses in the attachment.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
Comments and Suggestions for AuthorsThe manuscript titled “Remote sensing of aerosols and water-leaving- radiance from Chinese FY-3/MERSI based on a simultaneous method”, by Zhang et al., proposes a new retrieval method for FY-3/MERSI-II data using a machine-learning solver to speed up the procedure. Comparison with VIIRS data is performed with good results and a recalibration of some channels described. The manuscript is well-written and the results are relevant. There are some details that deserve better explanation and some typos. More details about this and other concerns have been highlighted in the attached document, also a throughout revision of the text is required, as there are several typos and hard to understand sentences. My recommendation is minor revision.
Comments for author File: Comments.pdf
There are some typos and sentences that deserve correction. They have been highlighted in the attached document
Author Response
Thank you very much for taking the time to review this manuscript. Your suggestions for revision have inspired me a lot. Your revision suggestions have a great guiding role in improving the quality of my article. We have revised all your comments and suggestions one by one. Please find the detailed responses in the attachment.
Author Response File: Author Response.pdf
Reviewer 3 Report
Comments and Suggestions for AuthorsMy comments are in the attached Word document.
Comments for author File: Comments.pdf
The authors did a great job with clearly presenting their work, as far as the quality of the English language is concerned. There are minor edits needed though.
Author Response
Thank you very much for taking the time to review this manuscript. Your suggestions for revision have inspired me a lot. Please find the detailed responses in the attachment.
Author Response File: Author Response.pdf
Round 2
Reviewer 3 Report
Comments and Suggestions for AuthorsThanks for addressing my concerns. Even though I feel more work can be done for comparisons, I believe you have made valid points, and that this paper is worthy of publication.
Comments on the Quality of English LanguageI believe the editor should be able to find the minor issues.
