Multi-Scale Precipitation Variability Over the Tropics

Dr. 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”.

Foreword
Preface
1. Multi-scale manifestation of tropical precipitation as evidenced from recent satellite observations
2. New insights on tropical clouds and rains from RADAR observations
3. How do the latest RADAR and Satellite observations provide breakthrough in understanding tropical cloud and precipitation variability
4. Multiscale tropical clouds and extreme events over tropics
5. Translating the new observational insights to improve the tropical cloud variability in climate model
6.1 Towards a breakthrough in convection parameterization using multiscale and multicloud modeling constrained by observations - Part 1
6.2 Towards a breakthrough in convection parameterization using multiscale and multicloud modeling constrained by observations. Part II: Implementation in CAM and preliminary results
7. Simulating tropical multiscale cloud and precipitation variability with a global convection permitting model
8. Predicting the multiscale cloud and precipitation variability with a state-of-the-art ensemble forecast system
9. Heavy precipitating mid-tropospheric monsoonal systems in a warming climate