booktheque

Precipitation modeling and quantitative analysis

Xiaofan Li · 2012

Where to buy

Check today’s price on Amazon. We do not show prices because they change daily.

View on Amazon

Affiliate link. As an Amazon Associate we earn from qualifying purchases.

About the book

The book examines surface rainfall processes through cloud-resolving modeling and quantitative analysis of surface rainfall budget and summarizes modeling and analysis results in recent seven years. The book shows validation of precipitation modeling against observations and derives a set of diagnostic precipitation equations. The book provides detailed discussions of the applications of precipitation equations to the examination of effects of sea surface temperature, vertical wind shear, radiation, and ice clouds on torrential rainfall processes in the tropics and mid-latitudes, and to the studies of sensitivity of precipitation modeling to uncertainty of the initial conditions and to the estimate of precipitation efficiency. The book can be used as a text book for graduate students and will be beneficial to researchers and forecasters for precipitation process studies and operational forecasts. Xiaofan Li is a physical scientist at the Center for Satellite Applications and Research, National Environmental Satellite, Data, and Information Service, National Oceanic and Atmospheric Administration, Camp Springs, Maryland, USA. He has a doctorate in meteorology from the University of Hawaii at Manoa, Honolulu, USA and a master’s degree in meteorology from Nanjing University of Information Science and Technology, Nanjing, China. Shouting Gao is a professor at the Laboratory of Cloud-Precipitation Physics and Severe Storm, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China. He has a doctorate and a master’s degree in meteorology from the Institute of Atmospheric Physics, Beijing, China.

Book details

Year
2012
Language
English
Series
Springer atmospheric sciences
Publisher
Springer Science+Business Media
Editions
4
Pages
240
ISBN
9789400723801

Data source: Wikidata

More by Xiaofan Li