Introduction to the Lecture

Clouds exert a pivotal regulatory influence on the Earth system's weather and climate dynamics. Enhancing the precision of satellite-based cloud identification and retrieval is indispensable for advancing refined cloud detection techniques and the development of other remote sensing products. However, accurately capturing cloud distribution from satellite imagery and delving into microphysical attributes, such as particle size, remains a formidable challenge in environments characterized by high reflectivity due to factors like atmospheric pollution, snow cover, sea glint, and the rapidly changing light conditions during dawn and dusk. In this report, I will elaborate on the methodologies employed to develop cloud identification algorithms tailored for complex scenarios, integrating remote sensing observations with radiation transfer models. Additionally, I will discuss the construction of remote sensing algorithms for estimating cloud phase, cloud optical thickness, cloud particle size distribution, and other pertinent parameters. These investigations contribute to deepening our understanding of clouds in nature and facilitate scientific explorations utilizing satellite-based cloud observations.

Profile of the Speaker

Shang Huazhe, an Assistant Researcher at the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), serves as the leader of a key research and development project for young scientists funded by the Ministry of Science and Technology and has been selected as a member of the Youth Innovation Promotion Association of the CAS. His research focuses on the principles of atmospheric radiation transfer, remote sensing inversion of cloud macro parameters and microphysical parameters, and their applications. In the field of atmospheric remote sensing, he has authored 35 SCI-indexed papers (first or corresponding author for 15 papers), 4 of which are ESI highly cited papers, published in core journals such as Remote Sensing of Environment (RSE) and Atmospheric Chemistry and Physics (ACP). Currently, he holds a position as a young editorial board member of journals including Remote Sensing Technology and Application and Plateau Meteorology. His accomplishments have been recognized with honors such as the Xie Yibing Youth Meteorological Science and Technology Award and the "Future Star" award from the AIR.