Multi-scale precipitation variability over the Tropics : new insights from observations and modelling /

Multi-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.

Bibliographic Details
Corporate Author:	ScienceDirect (Online service)
Other Authors:	Mukhopadhyay, Parthasarathi, 1966- (Editor)
Format:	eBook
Language:	English
Published:	Amsterdam ; Cambridge, MA : Elsevier, [2025]
Subjects:	Precipitation variability > Tropics. Precipitation (Meteorology) > Tropics. Précipitations (Météorologie) > Variabilité > Régions tropicales. Précipitations (Météorologie) > Régions tropicales. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Intro
Multi-Scale Precipitation Variability Over the Tropics: New Insights from Observations and Modelling
Copyright
Dedication
Contents
Contributors
Foreword
Preface
Chapter 1: Multi-scale manifestation of tropical precipitation as evidenced from recent satellite observations
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
Acknowledgments
References
Chapter 2: New insights on tropical clouds and rains from RADAR observations
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
1. Introduction
1.1. Vertical velocity measurements from satellites
1.1.1. Estimating buoyancy and entrainment from space
1.1.2. Entrainment rate estimation with buoyancy consideration
1.2. Estimation of vertical velocity from ground-based observations
1.2.1. A theoretical background behind the aliasing of the MRR Doppler spectrum
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
1. Introduction
2. Data and methodology
3. Results.
3.1. Observed features over Indian region
4. Conclusion
5. Data and materials availability
Acknowledgments
References
Chapter 5: Translating the new observational insights to improve the tropical cloud variability in climate model
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
Acknowledgments
References
Chapter 6.1: Toward a breakthrough in convection parameterization using multiscale and multicloud modeling constrained by ...
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
Acknowledgments
References
Chapter 6.2: Toward a breakthrough in convection parameterization using multiscale and multicloud modeling constrained by ...
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
Acknowledgments
References
Chapter 7: Simulating tropical multiscale cloud and precipitation variability with a global convection-permitting model
Acknowledgments
References
Chapter 8: Predicting the multiscale cloud and precipitation variability with a state-of-the-art ensemble forecast system
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
Credits
References
Chapter 9: Heavy precipitating mid-tropospheric monsoonal systems in a warming climate
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
Acknowledgments
References
Index.