Pinhua Xie
Papers
1
Total Citations
35
H-Index
1
About
Pinhua Xie is a leading atmospheric scientist whose research focuses on the remote sensing of trace gases and aerosols using multi-axis differential optical absorption spectroscopy (MAX-DOAS). His major contributions lie in advancing methods to classify clouds and aerosols, which are critical for improving the accuracy of air quality monitoring and climate modeling. In his highly cited 2015 study, Xie developed a robust cloud classification scheme for MAX-DOAS observations in Wuxi, China, demonstrating how to distinguish clear skies, clouds, and aerosols over a 2.5-year period. This work, which has garnered 35 citations, provides a vital framework for correcting trace gas retrievals and validating satellite data. By comparing his results with independent datasets, Xie showed the reliability of his approach, directly impacting how researchers interpret atmospheric composition in polluted urban environments. His achievements include pioneering the integration of cloud screening into operational MAX-DOAS networks, a key step toward more precise assessments of air pollution and its radiative effects. Xie’s research continues to shape the field, offering practical tools for environmental monitoring and climate science.
Research Focus
Key Achievements
Top Papers
- 1