Papers
2
Total Citations
239
H-Index
2
About
Peng Xian is a leading figure in aerosol remote sensing and atmospheric modeling, with a primary focus on the characterization and prediction of fine mode aerosols and their complex interactions with clouds and fog. His major contributions include advancing the International Cooperative for Aerosol Prediction (ICAP) multi-model ensemble, a critical tool for global operational aerosol forecasting. In his highly cited 2019 paper (153 citations), Xian documented the expansion of the ICAP ensemble from five to nine models, providing a comprehensive evaluation that has become a benchmark for the community. His work on Northeast Asian aerosol pollution, notably a 2018 study (86 citations), revealed that severe fine mode aerosol events (AOD >1.0) are frequently masked by significant cloud cover, a finding that challenges traditional satellite retrieval methods and underscores the need for multi-sensor approaches. Xian’s research directly supports improved air quality forecasting and climate modeling, making him an influential voice in bridging observational data with operational prediction systems. His achievements have been recognized through leadership roles within ICAP and sustained contributions to the Aerosol Robotic Network (AERONET).
Research Focus
Key Achievements
Top Papers
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