Multi-Scale Precipitation Variability Over the Tropics
New Insights from Observations and Modelling
- 1st Edition - January 6, 2025
- Editors: Parthasarathi Mukhopadhyay, Boualem Khouider, Shoichi Shige
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 4 0 3 0 - 3
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 4 0 3 1 - 0
Multi-Scale Precipitation Variability Over the Tropics: New Insights from Observations and Modelling explores the latest developments in the observation and modelling of tropical… Read more
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Request a sales quoteMulti-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.
- Examines the new paradigm in understanding and modeling tropical meteorology
- Analyzes recent discoveries in multiscale cloud and precipitation that will provide new insights about tropical cloud and precipitation physics and dynamics
- Provides an innovative approach to representing tropical clouds in numerical models that will help readers understand the latest breakthroughs in the representation of tropical clouds in numerical models
Research scientists, meteorologists, environmental scientists, hydrologist, data scientists Students, researchers, and professionals in meteorology
- Multi-Scale Precipitation Variability Over the Tropics
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Contributors
- Foreword
- Preface
- Chapter 1 Multi-scale manifestation of tropical precipitation as evidenced from recent satellite observations
- Abstract
- Keywords
- Acknowledgments
- 1 Introduction
- 1.1 Tropical precipitation and TRMM precipitation radar
- 2 Space-time variations in tropical rainfall
- 3 Distribution of precipitation over the ISM domain and role of topography
- 3.1 Western Ghats and adjoining Arabian sea
- 3.2 Bay of Bengal and Arakan Yoma coast
- 3.3 Foothills of Himalayas
- 4 Size-specific rain occurrences
- 5 Diurnal variation
- 6 Intraseasonal variability of ISM
- 7 Summary
- References
- Chapter 2 New insights on tropical clouds and rains from RADAR observations
- Abstract
- Keywords
- 1 Convective organization
- 2 Vertical structure of clouds
- 3 Hydrometeor composition
- 4 Extreme weather events
- 5 Cloud-climate feedbacks
- 6 Insight related to mesoscale convective system
- References
- Chapter 3 Exploring the tropics: Advancing cloud and precipitation studies with combined RADAR and satellite observations
- Abstract
- Keywords
- 1 Introduction
- 1.1 Vertical velocity measurements from satellites
- 1.2 Estimation of vertical velocity from ground-based observations
- 1.3 Change in rainfall estimation and associated parameters after incorporation of ground-based DSD in the GFS model
- 2 Conclusions
- References
- Chapter 4 Relationship between extreme rainfall events and cloud optical properties over tropics
- Abstract
- Keywords
- Acknowledgments
- 1 Introduction
- 2 Data and methodology
- 3 Results
- 3.1 Observed features over Indian region
- 4 Conclusion
- 5 Data and materials availability
- References
- Chapter 5 Translating the new observational insights to improve the tropical cloud variability in climate model
- Abstract
- Keywords
- Acknowledgments
- 1 Introduction
- 2 Summary of convection schemes used in climate models
- 2.1 Validity of CQE
- 2.2 Other approaches of convection parameterization
- 3 Challenges in climate models regarding convection
- 3.1 Double-ITCZ biases
- 3.2 Too few too bright clouds
- 3.3 SST biases
- 3.4 Excessive convective rainfall
- 3.5 Too frequent drizzle
- 4 Data-driven approach for improving tropical variability
- 5 Conclusions
- References
- Chapter 6.1 Toward a breakthrough in convection parameterization using multiscale and multicloud modeling constrained by observations—Part I: Motivation and model development
- Abstract
- Keywords
- Acknowledgments
- 1 Introduction
- 2 The SMCM in CFS: A review of some impactful results
- 2.1 Overview of main results
- 2.2 Key take-home remarks
- 3 Stochasticization of the ZM parametrization using the SMCM
- 3.1 Bulk mass flux model revisited
- 3.2 The stochastic plume model
- 3.3 The stochastic multicloud model
- 3.4 The stochastic bulk mass flux model
- 3.5 Entrainment and detrainment calculation
- 3.6 Efficient calculation of the integrals
- 3.7 Entrainment function
- 3.8 Inverting Eq. (29) without the mid-point approximation
- 3.9 Setting the cloud top distribution
- 4 Parameter estimation: Constraining the SMCM to observations
- 5 Conclusion
- References
- Chapter 6.2 Toward a breakthrough in convection parameterization using multiscale and multicloud modeling constrained by observations—Part II: Implementation in CAM and preliminary results
- Abstract
- Keywords
- Acknowledgments
- 1 Introduction
- 2 Numerical experiments and validation data
- 3 Climatology
- 4 Climate variability and wave propagation
- 5 Convective versus large-scale precipitation and precipitation frequency distributions
- 6 Implication on the local Hadley circulation
- 7 Concluding remarks and further perspectives: Breaking the quasi-equilibrium paradigm
- 8 Outlook: Breaking the quasi-equilibrium deadlock
- References
- Chapter 7 Simulating tropical multiscale cloud and precipitation variability with a global convection-permitting model
- Abstract
- Keywords
- Acknowledgments
- References
- Chapter 8 Predicting the multiscale cloud and precipitation variability with a state-of-the-art ensemble forecast system
- Abstract
- Keywords
- Credits
- 1 Introduction
- 2 The ECMWF ensemble prediction system
- 3 A visible view on clouds
- 4 Climatology observed and forecast
- 4.1 Outgoing longwave radiation
- 4.2 Precipitation
- 5 Tropical predictability and probabilistic skill
- 6 Tropical waves and the Madden-Julian oscillation
- 6.1 Raw OLR
- 6.2 Wave-filtered OLR
- 7 Discussion and outlook
- References
- Chapter 9 Heavy precipitating mid-tropospheric monsoonal systems in a warming climate
- Abstract
- Keywords
- Acknowledgments
- 1 Introduction
- 2 Data and methods
- 2.1 Datasets and models
- 2.2 Identification of mid-tropospheric circulation events
- 3 Results and discussion
- 3.1 Trends in organized convection, rainfall, and large-scale conditions
- 3.2 Temporal variations in mid-tropospheric circulation systems over Western India
- 3.3 Response of South Asian monsoon mean conditions to global warming
- 3.4 Response of sub-seasonal variations in vorticity and convection to global warming
- 4 Summary and discussions
- References
- Index
- No. of pages: 390
- Language: English
- Edition: 1
- Published: January 6, 2025
- Imprint: Elsevier
- Paperback ISBN: 9780443140303
- eBook ISBN: 9780443140310
PM
Parthasarathi Mukhopadhyay
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.
Affiliations and expertise
Indian Institute of Tropical Meteorology (IITM), Pashan, Pune, IndiaBK
Boualem Khouider
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.
Affiliations and expertise
University of Victoria, Victoria, CanadaSS
Shoichi Shige
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”.
Affiliations and expertise
Graduate School of Science, Kyoto University, Kyoto, Japan