Evaluating Anthropogenic CO2 Bottom-Up Emission Inventories Using Satellite Observations from GOSAT and OCO-2
, Hao Song 3, Luman Li 1,2, Kaiyuan Guo 1,2, Caihong Ma 1, Liangyun Liu 1 and Zhaocheng Zeng 4,*Round 1
Reviewer 1 Report
Summary
Anthropogenic carbon dioxide (CO2) emissions from bottom-up inventories have always been an important reference data in international carbon trading. This study demonstrates that XCO2 from satellite could be applied to quantify the uncertainty of emission inventories and improve the accuracy in spatially and temporally attributing national/regional totals inventories. In this regard satellite remote sensing applies as a novel datum in land-air carbon cycle. Therefore, the work of this paper is of great significance.
Accurate assessment of carbon inventories is especially challenging task. This works used two methods to analyses applied suitability of four inventories (CHRED, PKU, ODIAC and EDGAR). The structure is logical, the references are clear and the historical background has given credit as is appropriate. The English and logic should be further improved substantially throughout the whole paper. There are too many figures lack appropriate descriptive title and the necessary colorbar. Overall, I think this manuscript can be considered after major revision if the author could adequately address the comments below.
Specific/Detailed Comments
1. As GOSAT (from April 2009 to August 2014) and OCO-2 (from September 2014 to December 2020) were both used in the approach, has the systematic error between the two satellites been considered and dealt with?
2. Whether the input of GRNN have considered the potential effects of geographic information or seasonal signals.
3. Line 205~209, 288~295. When the “XCO2” is used in the text, both“XCO2” and“XCO2” appear at the same time, please unify and check the whole version.
4. Figure 7. There is no corresponding color bar or description in the title to describe the meaning of the color in the picture.
5. Figure 1. The “CO2” should be mentioned in title, otherwise it will be unfriendly to readers at first glance. Why there is no data for Taiwan Province in Figure a? Please explain the specific reasons.
6. Figure 3. Please clarify the meaning of the red plots, blue plots, red line and blue line.
7. All pictures updated with higher resolution pictures.
8. Table.1 Units are missing.
Author Response
Please see the attachment
Author Response File: 
Author Response.pdf
Reviewer 2 Report
Please, see the attached file
Comments for author File: Comments.pdf
Author Response
Please see the attachmentAuthor Response File: 
Author Response.docx
Round 2
Reviewer 1 Report
The author has addressed my comments.
Author Response
Thank you again for your positive comments and constructive suggestions.
