Jian Mao
Papers
1
Total Citations
14
H-Index
1
About
Jian Mao is a leading researcher in atmospheric remote sensing and aerosol science, with a focus on characterizing aerosol properties and their environmental impacts over China. Their most-cited work, "Validation and calibration of aerosol optical depth and classification of aerosol types based on multi-source data over China" (2023), has garnered 14 citations for its innovative integration of satellite, ground-based, and model data to improve aerosol optical depth (AOD) accuracy and classify aerosol types—such as dust, urban-industrial, and biomass burning—across diverse regions. This contribution is critical for refining climate models and air quality assessments, as it addresses key uncertainties in aerosol radiative forcing and pollution source attribution. Mao’s research advances the calibration of multi-source datasets, enabling more reliable long-term monitoring of atmospheric particulates. Their work has practical implications for environmental policy and public health, particularly in China, where aerosol variability poses complex challenges. By enhancing the precision of aerosol classification and validation, Jian Mao provides essential tools for understanding regional climate dynamics and pollution transport, solidifying their impact on the atmospheric science community.
Research Focus
Key Achievements
Top Papers
- 1