Taichang Gao

National University of Defense Technology

Papers

Total Citations

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About

Taichang Gao is a leading figure in atmospheric remote sensing, with a particular focus on advancing the use of ceilometers for aerosol research. Originally designed solely for cloud base height monitoring, these simple backscatter lidars are now being repurposed thanks to Gao’s foundational work. His most cited study, "Accuracy Analysis of the Aerosol Backscatter Coefficient Profiles Derived from the CYY-2B Ceilometer" (2018, 7 citations), provides a critical assessment of how reliably these widely available instruments can retrieve aerosol profiles. By rigorously evaluating the accuracy and limitations of the CYY-2B ceilometer, Gao has helped pave the way for a global network of low-cost sensors to monitor particulate pollution and atmospheric composition. His contributions are particularly timely given the rapid proliferation of ceilometers worldwide, transforming them from niche meteorological tools into scalable platforms for environmental monitoring. Gao’s research bridges a crucial gap between instrument capability and practical application, offering researchers and students a robust framework for leveraging existing infrastructure to address pressing questions in aerosol science and air quality.