
Precipitation Science
Measurement, Remote Sensing, Microphysics and Modeling
- 1st Edition - November 11, 2021
- Imprint: Elsevier
- Editor: Silas Michaelides
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 2 9 7 3 - 6
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 2 9 3 7 - 8
Precipitation Science: Measurement, Remote Sensing, Microphysics and Modeling addresses the latest key concerns for researchers in precipitation science, mainly observing, measu… Read more

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addresses the latest key concerns for researchers in precipitation science, mainly observing, measuring, modeling and forecasting. Using case studies and global examples, the book demonstrates how researchers are addressing these issues using state-of-the-art methods and models to improve accuracy and output across the field. In the process, it covers such topics as discrepancies between models and observations, precipitation estimations, error assessment, droplet size distributions, and using data in forecasting and simulations. Other sections cover improved standard approaches, novel approaches, and coverage of a variety of topics such as climatology, data records, and more.
By providing comprehensive coverage of the most up-to-date approaches to understanding, modeling, and predicting precipitation, this book offers researchers in atmospheric science, hydrology and meteorology with a comprehensive resource for improving outcomes and advancing knowledge.
- Provides updated and novel approaches to key issues in precipitation research
- Offers practical knowledge through global examples and case studies
- Includes full-color visuals to enhance comprehension of key concepts
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- List of contributors
- Foreword
- Preface
- Related titles by Silas Michaelides
- References
- Credits
- Part 1: Precipitation Measurement
- Chapter 1. Accuracy assessment and intercomparison of precipitation measurement instruments
- Abstract
- Chaper Outline
- 1.1 Introduction
- 1.2 Precipitation measurement biases
- 1.3 Wind-induced bias of catching gauges
- 1.4 Intercomparison of precipitation measurement instruments
- 1.5 Concluding remarks
- References
- Chapter 2. Application of underwater passive acoustic measurements of ocean sound in precipitation estimation
- Abstract
- Chapter Outlines
- 2.1 Introduction
- 2.2 Passive aquatic listening technology, methods, and data collection
- 2.3 Acoustic data analysis
- 2.4 Acoustic precipitation analysis
- 2.5 Case studies
- 2.6 Concluding remarks
- References
- Chapter 3. Quality control and verification of precipitation observations, estimates, and forecasts
- Abstract
- Chapter Outline
- 3.1 Introduction
- 3.2 Quality control of observations from a rain gauge network
- 3.3 Quality control of weather radar data
- 3.4 Quality control of satellite observations
- 3.5 Quality control of multisource surface precipitation estimates
- 3.6 Methods of evaluating the skill of forecasts
- 3.7 Conclusion
- References
- Chapter 4. Insights on a global Extreme Rainfall Detection System
- Abstract
- Chapter Outline
- 4.1 Introduction
- 4.2 The Extreme Rainfall Detection System: input data
- 4.3 Extreme rainfall detection methodology
- 4.4 Case studies
- 4.5 Conclusion
- Acknowledgments
- References
- Part 2: Precipitation Remote Sensing
- Chapter 5. Evaluation of high-resolution satellite precipitation data over the Mediterranean Region
- Abstract
- Chapter Outline
- 5.1 Introduction
- 5.2 Study area
- 5.3 Data and methodology
- 5.4 Results and discussion
- 5.5 Conclusion
- Acknowledgments
- References
- Chapter 6. Fundamental satellite precipitation data records
- Abstract
- Chapter Outline
- 6.1 Introduction
- 6.2 Satellite precipitation estimates
- 6.3 Satellite observational records
- 6.4 Precipitation climate data records
- 6.5 Key questions
- 6.6 Conclusion
- Acknowledgments
- References
- Chapter 7. The potential of using satellite-related precipitation data sources in arid regions
- Abstract
- Chapter Outline
- 7.1 Arid regions
- 7.2 Challenges of arid regions
- 7.3 The water cycle in arid regions
- 7.4 Storage
- 7.5 Water consumption
- 7.6 Satellite-based precipitation data sources
- 7.7 Performance of satellite-related precipitation estimations in an arid region
- 7.8 Concluding remarks
- Acknowledgments
- References
- Chapter 8. Monitoring precipitation from space: progress, challenges, and opportunities
- Abstract
- Chapter Outline
- 8.1 Introduction
- 8.2 Progress in satellite-based precipitation monitoring
- 8.3 Gaps, challenges, and opportunities
- 8.4 Conclusion
- References
- Chapter 9. Satellite hail detection
- Abstract
- Chapter Outline
- 9.1 Introduction
- 9.2 Physical basis underpinning hail remote sensing
- 9.3 State-of-the-art satellite microwave methods for hail detection
- 9.4 Satellite observations: July 17, 2019 case study
- 9.5 Satellite climatology of hail: status, pitfalls, and ways forward
- 9.6 Conclusion and future perspectives
- Acknowledgments
- References
- Chapter 10. Development of a precipitation-retrieval scheme for cross-track passive microwave sounding instruments
- Abstract
- Chapter Outline
- 10.1 Introduction
- 10.2 Precipitation retrievals
- 10.3 Development of the Precipitation Retrieval and Profiling Scheme
- 10.4 Evaluation and validation
- 10.5 Future directions
- References
- Chapter 11. Evaluation of high-resolution satellite precipitation over the global oceans
- Abstract
- Chapter Outlines
- 11.1 Introduction
- 11.2 Datasets
- 11.3 Evaluation procedure
- 11.4 Discussion of evaluation results
- 11.5 OceanRAIN applications
- 11.6 Conclusion
- References
- Chapter 12. Recent advances and challenges in satellite-based snowfall detection and estimation
- Abstract
- Chapter Outline
- 12.1 Introduction
- 12.2 Spaceborne radars and snowfall
- 12.3 Passive microwave radiometry and snowfall
- 12.4 PMW snowfall retrieval techniques
- 12.5 Ground-based snowfall observations
- 12.6 Conclusion and recommendations
- Acknowledgments
- References
- Chapter 13. Errors and uncertainties associated with quasiglobal satellite precipitation products
- Abstract
- Chapter Outline
- 13.1 Introduction
- 13.2 Sensor errors and uncertainties
- 13.3 Retrieval scheme errors and uncertainties
- 13.4 Product errors and uncertainties
- 13.5 Conclusion
- References
- Chapter 14. Performance assessment of merged multisatellite precipitation datasets over diverse climate and complex topography
- Abstract
- Chapter Outline
- 14.1 Introduction
- 14.2 Data and methodology
- 14.3 Performance assessment of satellite precipitation products across Pakistan
- 14.4 Merged precipitation datasets: advancements and imperfections
- 14.5 Conclusion
- Acknowledgments
- References
- Part 3: Precipitation Microphysics
- Chapter 15. Melting of atmospheric ice particles
- Abstract
- Chapter Outlines
- 15.1 Introduction
- 15.2 Theoretical concept and quantitative description of atmospheric melting
- 15.3 Theory of hail melting in the 1950s
- 15.4 Requirements of laboratory experiments
- 15.5 Laboratory experiments on hailstones, graupel, ice crystals, and snowflakes
- 15.6 Summary and atmospheric implications
- Acknowledgments
- References
- Chapter 16. Variability of raindrop size distribution as characterized by the generalized gamma formulation
- Abstract
- Chapter Outline
- 16.1 Introduction
- 16.2 Generalized gamma distribution for DSDs
- 16.3 Data from the Greeley and Huntsville campaign
- 16.4 The stability of h(x)
- 16.5 Applications of the modal GG-fitted h(x)
- 16.6 Summary and conclusion
- Acknowledgments
- Appendix
- Statistical inference
- Model selection
- SGG performance
- References
- Chapter 17. Rainfall microphysical characterization over the Mediterranean area during the GPM era
- Abstract
- Chapter Outline
- 17.1 Introduction
- 17.2 Data and instrumentation
- 17.3 Preliminary analysis: single- versus dual-frequency DPR comparison
- 17.4 DF- and SF-based rain and DSD parameters comparison at NSL
- 17.5 Validation of microphysical and integral DSD parameters
- 17.6 Conclusion
- References
- Chapter 18. Cloud processes of the main precipitating systems over continental tropical regions
- Abstract
- Chapter Outline
- 18.1 Introduction
- 18.2 Brazil rainfall regimes and the CHUVA experiment overview
- 18.3 The ground-based reference precipitation datasets
- 18.4 Assessments, validation, and characterization of GPM rainfall retrievals
- 18.5 Cloud microphysical properties: results of an hydrometeor classification over the Amazonian region
- 18.6 Cloud properties and associated electrification features over Brazil
- 18.7 Contribution of the aerosol in the process of formation of precipitation
- References
- Chapter 19. “Moisture control” of the precipitation: a probabilistic perspective
- Abstract
- Chapter Outline
- 19.1 Introduction
- 19.2 Data description
- 19.3 Analysis methodology and probability theory
- 19.4 Results
- 19.5 Further discussions
- Acknowledgments
- References
- Part 4: Precipitation Modeling
- Chapter 20. Precipitation in Earth system models: advances and limitations
- Abstract
- Chapter Outline
- 20.1 Relevance of precipitation in climate models
- 20.2 Data sources and basic comparisons
- 20.3 Diurnal to seasonal variabilities
- 20.4 Interannual variability
- 20.5 Extreme events
- 20.6 Role of spatial resolution in climate models
- 20.7 Climate model tuning
- 20.8 Concluding remarks
- Acknowledgments
- References
- Chapter 21. Improvement of quantitative precipitation forecast at the short range through lightning data assimilation
- Abstract
- Chapter Outline
- 21.1 Introduction
- 21.2 Method
- 21.3 The application to two case studies
- 21.4 An application for a whole year
- 21.5 Sensitivity of the assimilation scheme to lower boundary formulation
- 21.6 The impact of forecasting time on the performance
- 21.7 Conclusion
- Acknowledgments
- Appendix A
- References
- Chapter 22. Multiplatform hydrometeorological analysis of a flash flood event
- Abstract
- Chapter Outline
- 22.1 Introduction
- 22.2 Flash flood events in Greece
- 22.3 The integrated hydrometeorological system and remote sensing data
- 22.4 Methodological approach
- 22.5 Results and evaluation
- 22.6 Concluding remarks
- Acknowledgments
- References
- Chapter 23. Radar data assimilation in numerical weather prediction models
- Abstract
- Chapter Outline
- 23.1 Introduction
- 23.2 Radar data assimilation
- 23.3 Conclusion
- References
- Chapter 24. Direct assimilation of radar reflectivity volumes in COSMO–LETKF
- Abstract
- Chapter Outline
- 24.1 Introduction
- 24.2 Numerical weather prediction model and data assimilation system
- 24.3 Open issues on the direct assimilation of radar reflectivity volumes
- 24.4 Impact of assimilating reflectivity volumes
- References
- Chapter 25. Enhancing data assimilation of GPM observations
- Abstract
- Chapter Outline
- 25.1 Introduction
- 25.2 The NICAM-LETKF system
- 25.3 NICAM-LETKF JAXA Research Analysis
- 25.4 Ensemble Forecast Sensitivity to Observations
- 25.5 Model parameter estimation by data assimilation
- 25.6 Summary
- References
- List of abbreviations
- Index
- Edition: 1
- Published: November 11, 2021
- Imprint: Elsevier
- No. of pages: 870
- Language: English
- Paperback ISBN: 9780128229736
- eBook ISBN: 9780128229378
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