Book cover of "Tomographic Reconstruction of Atmospheric Water Vapor Field and Its Potential Applications"
Atmospheric water vapor is critically important in meteorology and many other areas. Water vapor arguably lies at the heart of all key terrestrial atmospheric processes. It plays a significant role in studies such as weather forecasting, hydrology, climate change, atmosphere science, to name a few. It can significantly degrade the accuracy of GNSS-based (Global Navigation Satellite System) positioning and navigation.
However accurate observation and modeling of atmospheric water vapor have long been a challenge in the meteorological and other communities. Recently one book titled “Tomographic Reconstruction of Atmospheric Water Vapor Field and Its Potential Applications” has been published by the Press of Central South University. The publication of this book represents a climax of the decade-long research work that has been conducted at Dr. George Liu’s Micro-Laboratory of Atmospheric Research and Geomatics Engineering (Micro-LARGE) at the Department of Land Surveying & Geo-Informatics (LSGI), the Hong Kong Polytechnic University (PolyU).
In addition to the introduction of fundamentals of Global Navigation Satellite System (GNSS) meteorology as well as various atmospheric water vapor models and observation techniques, this book has presented many advanced algorithms to reconstruct three-dimensional (3D) distribution of atmospheric water vapor accurately. The applications of the 3D tomographic modeling results in studies of severe weather events, atmospheric river, and GNSS Precise Point Positioning have also been demonstrated.
This 203-page book was coauthored by Dr. Biyan Chen, a former PhD graduate at the Micro-LARGE Lab, Dr. George Liu, Prof. Wujiao Dai, and Prof. Lixin Wu. Dr. Chen currently is working as an associate professor at the Central South University, the same institution as Profs. Dai and Wu. Dr. Chen was the first one at the Hong Kong Polytechnic University (PolyU) to receive the “Zhu Kezhen” Prize awarded by the Hong Kong Meteorological Society in 2017.
