This paper studied the patterns of global burned area, burned fraction, fire count, and fire intensity based on selections of remote sensing products. This paper also investigated the 12 fire-prone regions of their variations in fires, emissions, and how meteorological indicators of temperature, precipitation, relative humidity, and soil moisture impacted fires activities.

General comments:

1. My first concern is the statement of the research subject in this paper. This title and the writing of the paper were about wildfires while all the data used for this paper were not specifically just of wildfires. I need the authors to provide the definition of wildfires and evidence to prove the right use of the data (data for other fire types, e.g. prescribed fires, were removed in this analysis). Otherwise, the subject and the corresponding statements need to be changed to fires/biomass burning emissions.
2. I am also questioning the conclusion that wildfire burned area has decreased slowing over the last 20 years (line 17-18, 173). There was large difference of magnitude of the two burned area datasets and sometimes the trend was also different (year 2003-2005). The trend of FireCCI data is more stable than the MCD64 trend. Additionally, what does the data look like for the year 2020 and would it affect the results?
3. I am concerned about the conclusion that “the increase in temperature in the northern hemisphere's middle and high latitude forest regions was primarily responsible for the increase in wildfires and emissions”. This study has only looked at the four types of meteorology data and related them to fires. This conclusion could be misleading.
4. The third paragraph (line 59-70) in the introduction section could be reduced to one sentence and add to the first paragraph. This is one aspect of fire impacts and not a directly interest of this paper. The introduction part also lacks discussions about the current studies like this study, e.g., on global and regional fires and emissions. Some suggested readings:

• Andela, N., Morton, D. C., Giglio, L., Chen, Y., van der Werf, G. R., Kasibhatla, P. S., ... & Randerson, J. T. (2017). A human-driven decline in global burned area. Science, 356(6345), 1356-1362.
• Giglio, L., Randerson, J. T., & Van Der Werf, G. R. (2013). Analysis of daily, monthly, and annual burned area using the fourth‐generation global fire emissions database (GFED4). Journal of Geophysical Research: Biogeosciences, 118(1), 317-328.
• van Wees, D., van der Werf, G. R., Randerson, J. T., Rogers, B. M., Chen, Y., Veraverbeke, S., ... & Morton, D. C. (2022). Global biomass burning fuel consumption and emissions at 500 m spatial resolution based on the Global Fire Emissions Database (GFED). Geoscientific Model Development, 15(22), 8411-8437.

       5.    The methods and analysis of geographical detectors are not clear. How can the geographical detectors explain the percentage of the causes of fires?

Specific comments:

1. Line 21: “summer and autumn as the reasons with the most frequent wildfires worldwide”. Is “reasons” a typo? “seasons”?
2. line 24-26: “absolute amount of CO₂ produced by wildfires is the largest” is obvious according to the emission factors used in the emission models. I would recommend remove this from the abstract.
3. Line 84-85: Why “debatable”? What are the observation inversion data?
4. Line 90: “investigate the causes” is not appropriate.
5. Line 154: Why the month with 80% of the annual average burned area is the fire month?
6. Line 164: I understand that Wang et al. (2010, 2016) provided a detailed explanation of q statistic. I would recommend adding a description of q statistic in this context for better reading experience.
7. Line 171-174: Please add more explanation about the BA results and the difference from the two datasets.
8. Line 255: How the relative changes calculated? Why using this index to investigate the regional differences?
9. 8: how the annual trends were calculated? I didn’t find the "*" in the figure represents that the trend has passed the 95% significance test.
10. Line 481: the link didn’t work for me.
11. Figure S3-6: why only the period of 2001-2009?