Precipitation Modeling and Quantitative Analysis
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 agai
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Springer Atmospheric Sciences
For further volumes: http://www.springer.com/series/10176
Xiaofan Li • Shouting Gao
Precipitation Modeling and Quantitative Analysis
Xiaofan Li NOAA/NESDIS/Center for Satellite Applications and Research 5200 Auth Road, Camp Springs, MD 20746 USA [email protected]
Shouting Gao Laboratory of Cloud-Precipitation Physics and Severe Storms Institute of Atmospheric Physics Chinese Academy of Sciences Chaoyang District, Beijing 100029 China [email protected]
ISBN 978-94-007-2380-1 e-ISBN 978-94-007-2381-8 DOI 10.1007/978-94-007-2381-8 Springer Dordrecht Heidelberg London New York Library of Congress Control Number: 2011941660 © Springer Science+Business Media B.V. 2012 No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
To my wife Qin for her encouragement and support Xiaofan Li To my wife Rongyu for her patience and support Shouting Gao
Foreword
Precipitation is interlinked with atmospheric dynamics and thermodynamics through the latent heat released during phase changes of water, and the heat absorbed during the evaporation of precipitation. The nonlinear relationships involved with precipitation processes coupled to atmospheric dynamics are major sources of uncertainty for all prediction models. Floods caused by torrential rainfall, along with weather hazards, cause enormous economic loss and affect livelihood around the world. Understanding precipitation processes and how these interact with dynamics is a vital step towards improving the skill of prediction models. This will help day-today planning by individuals, longer-term decision making by institutions and governments, and foster an improved relationship between science and society. Improving our knowledge of precipitation processes requires the formulation of quantitative relationships between microphysics, clouds, water vapor, latent heating and dynamics. During the past 7 years, along with their research groups, Professor Shouting Gao of the Institute of Atmospheric Physics in Beijing, China and Dr.Xiaofan Li of NOAA’s National Environmental Satellite, Data, and Information Service (NESDIS) have made considerable progress with precipitation modeling. In number of publications they have derived diagnostic equations involving clouds, water vapor and energy. They applied these equations to enhance our understanding how water, atmospheric dynamics, cloud processes interact in precipitation systems. This well-written book by Dr. Xiaofan Li and Professor Shouting Gao updates and reviews precipitation modeling and quantitative analysis through the effects of physical proces
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