Reponses of Land Surface Albedo to Global Vegetation Greening: An Analysis Using GLASS Data

Round 1

Reviewer 1 Report

In the manuscript entitled ‘Reponses of land surface albedo to global vegetation greening: an analysis using GLASS data’， the authors employed GLASS data and a vegetation-induced LSA change model to analyze the relationship between LSA and global vegetation greening.

(1) in lines 131-132, could the authors explain more about the soil backgrounds? How did the soil backgrounds calculate?

(2) in figure 4, the scatter plot between LSA and FPAR at the pixel scale in southeastern China and Siberia, I did not find more information about the scatter plot, how did the authors select this scatter? What are the distribution and characteristics of these scatter plots?

(3) from the methods, the LSA, and FPAR were calculated from LAI dataset, more important is that the authors indicated and conclude that LSA response to global vegetation greening which effectively explained by the albedo difference between vegetation and soil background. I cannot find the accuracy analysis and the correlation analysis between LSA and vegetation greening.

 

(4) the large scale of this paper is interesting, however, much literature shows that the relationship between surface albedo and precipitation, EVI, soil moisture and air temperature has similar spatial distribution. The authors need to discuss this issue.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The paper seems to have some merits for publication but needs to address some issues detailed as follows

-For the most part, the content of the document relies too heavily on information from publications

-Provide a summary (table) of modeling studies on the methodology in the introduction. This summary will provide valuable information on the topic to modelers and scientists working in related fields.

-The methodology is not clear enough. The authors should provide a flowchart describing the modeling methodology, i.e. how to build the model.

-Process description is essential that yielding the data

-Conclusion. Indicate one or two limitations of the proposed model. For example, what factors are not taken into account? How would uncertainties affect the model in real world situations, etc.?

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The reviewer checked the revised version of the manuscript. It has been developed. As such, I am recommending it for publication.