the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The HTAP_v3.2 emission mosaic: merging regional and global monthly emissions (2000–2020) to support air quality modelling and policies
Diego Guizzardi
Monica Crippa
Tim Butler
Terry Keating
Rosa Wu
Jacek Kaminski
Jeroen Kuenen
Junichi Kurokawa
Satoru Chatani
Tazuko Morikawa
George Pouliot
Jacinthe Racine
Michael D. Moran
Zbigniew Klimont
Patrick M. Manseau
Rabab Mashayekhi
Barron H. Henderson
Steven J. Smith
Rachel Hoesly
Marilena Muntean
Manjola Banja
Edwin Schaaf
Federico Pagani
Jung-Hun Woo
Jinseok Kim
Enrico Pisoni
Junhua Zhang
David Niemi
Mourad Sassi
Annie Duhamel
Tabish Ansari
Kristen Foley
Guannan Geng
Yifei Chen
Qiang Zhang
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- Final revised paper (published on 07 Nov 2025)
- Supplement to the final revised paper
- Preprint (discussion started on 07 Feb 2025)
- Supplement to the preprint
Interactive discussion
Status: closed
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RC1: 'Comment on essd-2024-601', Anonymous Referee #1, 02 Jun 2025
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AC2: 'Reply on RC1', Monica Crippa, 12 Sep 2025
The comment was uploaded in the form of a supplement: https://essd.copernicus.org/preprints/essd-2024-601/essd-2024-601-AC2-supplement.pdf
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AC2: 'Reply on RC1', Monica Crippa, 12 Sep 2025
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RC2: 'Comment on essd-2024-601', Anonymous Referee #2, 24 Jun 2025
General comments:
The Global Air Pollution Mosaic Inventory HTAP_v3.1 proposed in this paper is an up-to-date database of seven regional inventories coordinated and blended, with gaps filled in using the latest version of EDGARv8. The results provide an information support to analyze the status and trends of air pollutants emission. There are still some issues need to be addressed before it can be accepted.
Firstly, it is recommended to highlight the differences in the results of HTAP_v3.1 and HTAP_v3 (The HTAP_v3 emission mosaic: merging regional and global monthly emissions (2000–2018) to support air quality modelling and policies) to further reflecting the advantages of HTAP_v3.1. For example, HTAP_v3.1 has added China's MEIC emission inventory, what is the difference in the results between HTAP_v3.1 and HTAP_v3? Secondly, has the HTAP-v3.1 result been validated and what about the accuracy of it? Thirdly, the time scale for HTAP_v3.1 has been extended from 2018(HTAP_v3) to 2020, but the results section has less analysis for 2020, does the results for those two years reflect the impact of the epidemic? It is necessary to analyze the emission inventory results in 2020 to understand the impact of the COVID-19 pandemic on the emission. Finally, why the results figures for different pollutants are presented in different time scales? For example, Figure 4 shows 2018 emissions for SO2; Figure 5 shows 2000 and 2018 emissions for NOx; Figures 6-8 show 2018 January emissions for different pollutants in different sectors.
In addition, there are some details need to be checked, such as the mismatch of the figure caption and the description in the text (e.g., Figure 6), the inconsistent use of “Fig. X” and “Figure. X”, and the missing units of the results. It is recommended that the authors check and verify the details.
Specific comments:
Abstract:It is important to highlight not only the improved features of HTAP_v3.1, but also the differences in the results between HTAP_v3.1 and HTAP_v3, such as the differences and changes in the results of the old and new databases. What are the emission result differences and changes of these two databases in the same year (e.g., 2018)? Has the HTAP-v3.1 result been validated?
P16 line38-42: “……while they declined to 103Mt as effect of the COID-19 pandemic.” Which year the 103Mt emission is for? What is the base year for comparison?
P17 line5: “……552.3 Mt in 2000 to 533.9 Mt in 2018 (and 515.5 in 2020).” What is the unit of 515.5 here?
P17 line8-11: “Road transport CO emissions halved over the past two decades (54.5%), while the emissions from all other sectors increased.” Why?
P17 line19-23: Global NH3 emissions in 2020 are higher than in 2018, why? Can this result reflect the impact of the epidemic? It can also demonstrate the necessity of analyzing the 2020 emission results.
P17 line24-43: The analysis of particulate emissions is mainly for PM10. I would suggest that PM2.5, BC, and OC emissions could be provided.
P17 line26: “……+56.8.0% for Africa.” Should this be 56.8 % here?
P18 line33 and 43: The expressions “Figs. 5-8” and “Figures 7 and 8” are inconsistent, and it is recommended that abbreviations or full names be used consistently.
P22 line24-26: “The largest variability is found domestic shipping emissions (CO and NMVOC), energy (OC, BC), agricultural crops (PM), road transport (PM, NMVOC) and industry (NH3, NMVOC)”. Here, it is mentioned that OC, BC emissions from energy have the largest variability. But there is no analysis of the OC and BC emission results in the results section.
Citation: https://doi.org/10.5194/essd-2024-601-RC2 -
AC1: 'Reply on RC2', Monica Crippa, 12 Sep 2025
The comment was uploaded in the form of a supplement: https://essd.copernicus.org/preprints/essd-2024-601/essd-2024-601-AC1-supplement.pdf
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AC1: 'Reply on RC2', Monica Crippa, 12 Sep 2025
The manuscript described the data source, methodology, trend analysis, and uncertainty analysis for HTAP_v3.1 emission inventory very clearly. I only have several small suggestions: