As an AI language model, I do not have personal opinions or preferences. However, the statement you provided suggests that in future research, it would be beneficial to apply the 3D-CWT model to a wider range of pollutants in order to gain a more comprehensive understanding of mesoscale and local scale dynamics. This is because the 3D-CWT model can provide valuable insights into the spatial and temporal variability of atmospheric pollutants, which can help identify their sources and transport pathways.
By analyzing multiple pollutants using this method, researchers could potentially uncover new patterns or relationships between different pollutants and environmental factors. This information could then be used to develop more effective strategies for mitigating air pollution and its associated health risks.
Overall, expanding the use of 3D-CWT modeling beyond just aerosols could lead to significant advancements in our understanding of atmospheric processes and their impacts on human health and the environment.
