Papers
4
Total Citations
101
H-Index
4
About
Jianbing Jin is a leading researcher in atmospheric aerosol dynamics and satellite data assimilation, with a focus on improving dust emission modeling and air quality forecasting. His work centers on integrating geostationary satellite observations—particularly from Himawari-8—with numerical models to better capture the spatial and temporal variability of East Asian dust storms, a region prone to extreme events. Jin’s major contributions include pioneering the use of the Ångström exponent (AE) to optimize aerosol optical depth (AOD) assimilation, addressing the critical mismatch between simulated particle mass concentrations and satellite-derived AODs. His 2019 study on dust emission inversion during the May 2017 extreme dust event, which has garnered 52 citations, demonstrated the power of high-temporal-resolution satellite data for monitoring short-lived, large-scale dust outbreaks. More recently, his 2023 work on how aerosol size influences AOD assimilation (40 citations) has advanced the field by leveraging AE to refine model corrections. Jin’s research has also tackled record-breaking events, such as the March 2021 dust storm, using lagged AE observations to improve emission estimates. His innovative methods are vital for enhancing dust storm prediction and understanding aerosol-climate interactions.
Research Focus
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