Papers
7
Total Citations
821
H-Index
7
About
Cui Ge is a multidisciplinary researcher whose work spans atmospheric science, aerosol modeling, and, more recently, artificial intelligence applications in smart agriculture. Best known for contributions to understanding aerosol emissions and their climate impacts, Ge has made significant strides in constraining biomass burning aerosol datasets — a notoriously uncertain area of atmospheric research. His landmark 2020 study comparing six global biomass burning emission datasets has accumulated 347 citations, underscoring its foundational role in improving global aerosol modeling accuracy. Equally influential is his 2013 investigation of black carbon aerosol budgets and radiative forcing using HIPPO aircraft observations across the Pacific, which garnered 324 citations and advanced understanding of how black carbon influences Earth's energy balance. Ge has also contributed to regional air quality research, including diurnal aerosol variations over South Korea using multi-platform observations and WRF-Chem modeling, and pioneered ensemble mesoscale modeling of smoke transport across Southeast Asia. His episode simulations of Asian dust storms further reflect a career committed to bridging observational data with sophisticated atmospheric modeling. His expanding interest in AI-driven precision agriculture signals a forward-looking versatility that continues to broaden his scholarly impact.
Research Focus
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