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OverviewMulti-Scale Precipitation Variability Over the Tropics: New Insights from Observations and Modelling explores the latest developments in the observation and modelling of tropical precipitation. Researchers will benefit from this detailed analysis of recent advancements in the field. The text first examines recent satellite and RADAR observations and how those breakthroughs enhance our understanding. This is followed by a review of NASA A-train observations as well as extreme events. The editors also look at predicting precipitation variability with a state-of-the-art ensemble forecast system. The text wraps with a discussion of multiscale cloud and precipitation variability with the backdrop of a changing climate. This text will provide researchers with new insights and a deeper understanding of the latest advances in the observation and modelling of tropical precipitation. Full Product DetailsAuthor: Parthasarathi Mukhopadhyay (Indian Institute of Tropical Meteorology (IITM), Pashan, Pune, India) , Boualem Khouider (University of Victoria, Victoria, Canada) , Shoichi Shige (Graduate School of Science, Kyoto University, Kyoto, Japan)Publisher: Elsevier - Health Sciences Division Imprint: Elsevier - Health Sciences Division Weight: 0.450kg ISBN: 9780443140303ISBN 10: 0443140308 Pages: 390 Publication Date: 01 January 2025 Audience: College/higher education , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Forthcoming Availability: Not yet available This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of Contents1. Introduction 2. Multi-scale manifestation of tropical clouds as evidenced from recent satellite observations 3. New insights on tropical clouds and rains from RADAR observations 4. How does the latest RADAR and Satellite observations provide breakthrough in understanding tropical cloud and precipitation? 5. A-train observations to unravel the multiscale nature of tropical clouds 6. Multiscale tropical clouds and extreme events over tropics 7. Translating the new observational insights to improve the tropical cloud variability in climate model 8. Suites of Doppler lidar observations of vertical velocity to infer boundary layer processes on shallow cumulus at the ARM Southern Great Plains Site 9. Breakthrough in tropical Multiscale cloud modeling constrained by observations 10. Simulating tropical multiscale cloud and precipitation variability with a global convection permitting model 11. Predicting the multiscale cloud and precipitation variability with a state-of-the-art ensemble forecast system 12. Multiscale cloud and precipitation variability in the backdrop of changing climateReviewsAuthor InformationDr. Mukhopadhyay did his PhD in Physics from Savitribai Phule Pune University in the year 2005 and has been working in the field of Numerical Weather Prediction (NWP) since last twenty-eight years. He has particularly worked in developing high resolution numerical model and improved cumulus and cloud parameterization. He developed for the first time the superparameterized climate forecast model for improved Indian summer monsoon simulation. He has led the program to develop the highest resolution (12km) global ensemble prediction system for short to medium range weather forecast over India. He has published 81 peer reviewed papers in journals and edited one book published by Springer and published six chapters in edited books. He has guided 7 students for PhD and currently guiding 5 students for PhD. He has guided 14 students for the master’s thesis. Dr. Khouider has a PhD in applied mathematics from the University of Montreal. His research is in atmospheric science and climate modeling. In the last 20 years, he is particularly interested in convectively coupled tropical waves and atmospheric convection. He wrote approximately 100 research articles and book chapters on this topic and a solo author book of 300 pages on “Models for Tropical Climate Dynamics: Waves, Clouds, and Precipitation (Springer 2019). Khouider is one the pioneers in using stochastic models in climate models. He uses Ising-type models to represent features of tropical convection in climate models. The implementation of such models by Khouider and his collaborators as well as by other groups (around the world) has led to break throughs in our ability to represent features of tropical climate variability in coarse resolution climate models. Khouider has trained more than 30 students and 7 post docs. Dr. Shige completed his PhD dissertation in Kyoto University. He has been developing the Spectral Latent Heating (SLH) algorithm for spaceborne precipitation radars in collaboration with Prof. Yukari N. Takayabu in the University of Tokyo. The four-dimensional latent heating data derived from the SLH algorithm has been utilized in various studies. He also has been developing orographic rainfall retrieval for spaceborne microwave radiometers to improve a high-resolution mapped satellite rainfall product, the Global Satellite Mapping of Precipitation (GSMaP), which is utilized widely not only for science but also for applications. He has received the Award of the Meteorological Society of Japan in 2018, which represents the highest award in the Society. He served as a chief editor of the special edition of Journal of the Meteorological Society of Japan on “Global Precipitation Measurement (GPM): 5th Anniversary. Tab Content 6Author Website:Countries AvailableAll regions |