Retrieval of aerosol optical/microphysical parameters of FY-4A geostationary satellite based on Transformer

In this paper, we examined the inter-model differences among five Earth System Models in simulating the impact of aerosols on plant productivity. All models showed that the impact of human-made aerosols on global plant productivity was negative, but with the divergence in the amount of reduction. We found that the divergence was mostly caused by the parameterization of model in simulating canopy photosynthesis, which determines how strongly plants react to changes in climatic factors.

Atmospheric models struggle to accurately map suspended particles at different altitudes. We developed an artificial intelligence tool using multiple data sources to correct these errors, generating precise three-dimensional maps. This approach successfully reduces biases across Asia and North America. Beyond simply correcting data, our tool helps scientists pinpoint physical flaws in existing models, directly guiding improvements for future climate and air quality research.