Chiung‐Huei Huang
Science Systems and Applications (United States), National Central University
Papers
2
Total Citations
89
H-Index
2
About
Chiung-Huei Huang is a leading figure in atmospheric remote sensing, whose work has fundamentally advanced the global observation of cloud properties. Her primary research focuses on cloud optical depth—a critical yet poorly observed climate variable—and the development of retrieval algorithms for the Aerosol Robotic Network (AERONET). Huang’s most significant contribution is the pioneering “cloud mode” capability for AERONET, which provides inexpensive, high-accuracy cloud optical depth observations from hundreds of sites worldwide. Her landmark 2010 paper on this method has garnered 87 citations, establishing it as a foundational reference in the field. In subsequent work, Huang has rigorously examined retrieval uncertainties, notably investigating how neglecting the ice phase in cloud composition can bias optical depth measurements. By addressing these systematic errors, her research ensures that the growing AERONET cloud dataset remains reliable for climate model validation. Huang’s efforts are directly enabling scientists to better parameterize cloud processes in climate models, making her work indispensable for improving predictions of Earth’s radiative balance and future climate change.
Research Focus
Key Achievements
Top Papers
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