The authors express gratitude to the Editor and the two Reviewers for their valuable comments and suggestions. They have addressed the issues raised in the revised manuscript, which is presented in blue color. The specific responses to the Reviewers' comments are as follows: 1. **Figure 1b**: The standard deviation (SD) of AOD was clarified to mean the standard deviation of AOD, not the Shandong province. 2. **Figure 2**: The annual variations of AOD were explained by combining two data sets: MODIS fire products and NCEP relative humidity and wind speed data. The interannual variation of wind speed in the lower troposphere was found to be significantly correlated with AOD, suggesting that air movements play a key role in AOD variations. 3. **Figures 4 and 5**: The relationship between atmospheric circulation and AOD distribution was discussed, including the vertical velocity and divergence of winds. The influence of temperature on AOD distribution was noted but not quantitatively shown due to data limitations. 4. **Emission Inventory**: The authors acknowledged the suggestion to include emission inventory but noted that current data is not available. They referenced previous studies showing the correlation between PM2.5 concentration and AOD, emphasizing the value of AOD data in characterizing aerosol distributions. 5. **Vertical Structure**: Vertical cross-sections of vertical velocity and divergence of wind were added to illustrate the influence of circulation on AOD, showing that descending flows and wind divergence at different layers are crucial for determining column AOD. These responses aim to enhance the clarity and scientific rigor of the manuscript.The authors express gratitude to the Editor and the two Reviewers for their valuable comments and suggestions. They have addressed the issues raised in the revised manuscript, which is presented in blue color. The specific responses to the Reviewers' comments are as follows: 1. **Figure 1b**: The standard deviation (SD) of AOD was clarified to mean the standard deviation of AOD, not the Shandong province. 2. **Figure 2**: The annual variations of AOD were explained by combining two data sets: MODIS fire products and NCEP relative humidity and wind speed data. The interannual variation of wind speed in the lower troposphere was found to be significantly correlated with AOD, suggesting that air movements play a key role in AOD variations. 3. **Figures 4 and 5**: The relationship between atmospheric circulation and AOD distribution was discussed, including the vertical velocity and divergence of winds. The influence of temperature on AOD distribution was noted but not quantitatively shown due to data limitations. 4. **Emission Inventory**: The authors acknowledged the suggestion to include emission inventory but noted that current data is not available. They referenced previous studies showing the correlation between PM2.5 concentration and AOD, emphasizing the value of AOD data in characterizing aerosol distributions. 5. **Vertical Structure**: Vertical cross-sections of vertical velocity and divergence of wind were added to illustrate the influence of circulation on AOD, showing that descending flows and wind divergence at different layers are crucial for determining column AOD. These responses aim to enhance the clarity and scientific rigor of the manuscript.