Rainfall

Rainfall

Modeling, Measurement and Applications

1st Edition - January 21, 2022

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  • Editor: Renato Morbidelli
  • eBook ISBN: 9780128225455
  • Paperback ISBN: 9780128225448

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Description

Rainfall: Physical Process, Measurement, Data Analysis and Usage in Hydrological Investigations integrates different rainfall perspectives, from droplet formation and modeling developments to the experimental measurements and their analysis, to application in surface and subsurface hydrological investigations. Each chapter provides an updated representation of the involved subject with relative open problems and includes a case study at the end of the chapter. The book targets postgraduate readers studying meteorology, civil and environmental engineering, geophysics, agronomy and natural science, as well as practitioners working in the fields of hydrology, hydrogeology, agronomy and water resource management.

Key Features

  • Presents comprehensive coverage of rainfall-related topics, from the basic processes involved in the drop formation to data use and modeling
  • Provides real-life examples for practical use in the form of a case study in each chapter

Readership

Atmospheric Scientists and hydrologists. Environmental engineers and climate scientists

Table of Contents

  • Cover Image
  • Title Page
  • Copyright
  • Table of Contents
  • Contributors
  • Preface
  • Chapter 1 Rainfall microphysics
  • Abstract
  • 1.1 Introduction
  • 1.2 The warm rain process
  • 1.3 Cold rain process
  • 1.4 Conclusion
  • Acknowledgments
  • References
  • Chapter 2 Meteorological systems producing rainfall
  • Abstract
  • 2.1 Introduction
  • 2.2 Schematization of frontal systems
  • 2.3 Rainfall fields associated to mid-latitude frontal systems
  • 2.4 Interaction between frontal systems and orographic barriers in the low levels of troposphere
  • 2.5 Study cases
  • 2.6 Conclusions
  • References
  • Chapter 3 Rainfall modeling
  • Abstract
  • 3.1 Introduction
  • 3.2 Simulation of precipitating system dynamics
  • 3.3 Modeling of cloud microphysics
  • 3.4 Convection-permitting modeling: anelastic versus compressible approach
  • 3.5 Prospects for future rainfall modeling
  • Acknowledgements
  • References
  • Chapter 4 Rain gauge measurements
  • Abstract
  • 4.1 Introduction
  • 4.2 Principles and operation of rain gauges
  • 4.3 Accuracy of tipping-bucket and weighing gauges
  • 4.4 Calibration procedures and standardization
  • 4.5 The impact of wind on rainfall measurements
  • 4.6 Rain gauge network design
  • 4.7 Concluding remarks
  • References
  • Chapter 5 Rainfall estimation by weather radar
  • Abstract
  • 5.1 Introduction
  • 5.2 Rainfall microstructure
  • 5.3 Radar principles
  • 5.4 The radar equation
  • 5.5 Errors in radar rainfall estimation and their correction
  • 5.6 Radar – raingauge merging and assessment of radar rainfall uncertainty
  • 5.7 Dual polarization
  • 5.8 Conclusions
  • References
  • Chapter 6 Satellite rainfall estimation
  • Abstract
  • 6.1 Introduction
  • 6.2 Satellites and sensors
  • 6.3 Precipitation retrievals from satellite observations
  • 6.4 Validation of satellite precipitation products
  • 6.5 Case study: hurricane Laura observed by the GPM Core Observatory
  • 6.6 Recent developments and future directions
  • 6.7 Conclusion
  • References
  • Chapter 7 Time resolution of rain gauge data and its hydrological role
  • Abstract
  • 7.1 Introduction
  • 7.2 Rainfall data types
  • 7.3 Rainfall data time-resolution in different geographic areas of the world
  • 7.4 Effect of data time-resolution on the estimate of annual maximum rainfall depths
  • 7.5 Rainfall data time-resolution and its role in the hydrological applications
  • 7.6 Case study: Umbria region in central Italy
  • 7.7 Conclusions
  • References
  • Chapter 8 Mean areal precipitation estimation: methods and issues
  • Abstract
  • 8.1 Introduction
  • 8.2 Mean areal precipitation
  • 8.3 Mean areal precipitation estimation: weighting methods
  • 8.4 Surface generation methods
  • 8.5 Radar and satellite-based methods
  • 8.6 Computationally intensive estimation methods
  • 8.7 Mean areal precipitation estimation: issues
  • 8.8 Evaluation of mean areal precipitation estimation methods
  • 8.9 Recommendations for selection of a mean areal precipitation estimation method
  • 8.10 Conclusions
  • References
  • Chapter 9 Ombrian curves advanced to stochastic modeling of rainfall intensity
  • Abstract
  • 9.1 Introduction
  • 9.2 A stochastic framework for building ombrian models
  • 9.3 Building a theoretically consistent ombrian model
  • 9.4 Model fitting procedure
  • 9.5 Development of an ombrian model for Bologna in Italy
  • 9.6 Discussion and further aspects
  • 9.7 Conclusions
  • References
  • Chapter 10 Areal reduction factor estimate for extreme rainfall events
  • Abstract
  • 10.1 Introduction
  • 10.2 Main dependencies of areal reduction factors
  • 10.3 Different methodologies for estimating areal ­reduction factors
  • 10.4 Comparisons and possibility of transposition of ­different ARFs approaches
  • 10.5 A new ARFs empirical formulation in Umbria, central Italy
  • 10.6 Conclusions
  • References
  • Chapter 11 Analysis of extreme rainfall events under the climatic change
  • Abstract
  • 11.1 Introduction
  • 11.2 Rainfall extremes and their analysis
  • 11.3 Observed changes to rainfall extremes
  • 11.4 Projected changes to rainfall extremes
  • 11.5 Conclusions
  • References
  • Chapter 12 Rainfall regionalization techniques
  • Abstract
  • 12.1 Introduction
  • 12.2 Variables to be regionalized, data preparation, and data scarcity
  • 12.3 Regional methods
  • 12.4 Methods adopted in practice
  • 12.5 Considerations on applicability and evolution of the regional frequency analyses
  • 12.6 Conclusions
  • References
  • Chapter 13 Rainfall and development of floods
  • Abstract
  • 13.1 Introduction
  • 13.2 Formation and separation of the flood hydrograph
  • 13.3 A modeling framework for flood simulation and real-time flood forecasting
  • 13.4 A short description of the implicit functions incorporated in the real-time flood forecasting model framework
  • 13.5 Rainfall-runoff for designing extreme floods
  • 13.6 Conclusions
  • References
  • Chapter 14 Rainfall and infiltration
  • Abstract
  • 14.1 Introduction
  • 14.2 Rainfall-infiltration process
  • 14.3 Point infiltration methods
  • 14.4 Rainfall-infiltration process at field scale
  • 14.5 Case study
  • 14.6 Conclusions
  • 14.7 Recent developments and challenges
  • References
  • Chapter 15 Rainfall and erosion/sediment transport
  • Abstract
  • 15.1 The erosive power of the rainfall
  • 15.2 Raindrop impact on the soil surface
  • 15.3 Overview of soil erosion models
  • 15.4 Conclusions
  • References
  • Chapter 16 Rainfall and landslide initiation
  • Abstract
  • 16.1 Introduction
  • 16.2 Modeling the relationships between rainfall and landslide
  • 16.3 The TRIGRS physically-based model
  • 16.4 Rainfall thresholds for landslide initiation
  • 16.5 Operational prediction and forecasting of rainfall-induced landslides
  • 16.6 Case study: frequentist thresholds for landslide initiation in Italy
  • 16.7 Conclusions
  • References
  • Chapter 17 Rainfall and droughts
  • Abstract
  • 17.1 Introduction
  • 17.2 Drought hydrology and generating processes
  • 17.3 Drought indices
  • 17.4 Case study: drought characterization using SPI, SPEI, and PDSI
  • 17.5 Conclusion
  • References
  • Index

Product details

  • No. of pages: 502
  • Language: English
  • Copyright: © Elsevier 2022
  • Published: January 21, 2022
  • Imprint: Elsevier
  • eBook ISBN: 9780128225455
  • Paperback ISBN: 9780128225448

About the Editor

Renato Morbidelli

Renato Morbidelli is a professor of Hydrology and Hydraulic Constructions at the Dept. of Civil and Environmental Engineering, University of Perugia, Italy. Before this he was an associate professor at the Faculty of Engineering, University of Perugia, Italy. From 2016 he held the national position of Full Professor of Hydrology and Hydraulic Constructions. Morbidelli completed his PHD in 1998. He has been the editor of numerous journals, including an Associate Editor for Journal of Hydrology (Elsevier). His main topics of research include: Real time flood forecasting; semi-distributed rainfall-runoff modelling; rainfall analysis; climatic change analysis; infiltration modeling; spatial variability of soil hydraulic characteristics. He has published numerous papers and chapters.

Affiliations and Expertise

Professor of Hydrology and Hydraulic Constructions, Department of Civil and Environmental Engineering, University of Perugia, Italy

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