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Precipitation Science. Measurement, Remote Sensing, Microphysics and Modeling

  • Book

  • November 2021
  • Elsevier Science and Technology
  • ID: 5342363

Precipitation Science: Measurement, Remote Sensing, Microphysics and Modeling

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.

Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.

Table of Contents

Part 1 Precipitation Measurement 1. Accuracy assessment and intercomparison of precipitation measurement instruments 2. Application of underwater passive acoustic measurements of ocean sound in precipitation estimation 3. Quality control and verification of precipitation observations, estimates, and forecasts 4. Insights on a global Extreme Rainfall Detection System

Part 2 Precipitation Remote Sensing 5. Evaluation of high-resolution satellite precipitation data over the Mediterranean Region 6. Fundamental satellite precipitation data records 7. The potential of using satellite-related precipitation data sources in arid regions 8. Monitoring precipitation from space: progress, challenges, and opportunities 9. Satellite hail detection 10. Development of a precipitation-retrieval scheme for cross-track passive microwave sounding instruments 11. Evaluation of high-resolution satellite precipitation over the global oceans 12. Recent advances and challenges in satellite-based snowfall detection and estimation 13. Errors and uncertainties associated with quasiglobal satellite precipitation products 14. Performance assessment of merged multisatellite precipitation datasets over diverse climate and complex topography

Part 3 Precipitation microphysics 15. Melting of atmospheric ice particles 16. Variability of raindrop size distribution as characterized by the generalized gamma formulation 17. Rainfall microphysical characterization over the Mediterranean area during the GPM era 18. Cloud processes of the main precipitating systems over continental tropical regions

Part 4 Precipitation Modeling 20. Precipitation in Earth system models: advances and limitations 21. Improvement of quantitative precipitation forecast at the short range through lightning data assimilation 22. Multiplatform hydrometeorological analysis of a flash flood event 23. Radar data assimilation in numerical weather prediction models 24. Direct assimilation of radar reflectivity volumes in COSMO?LETKF 25. Enhancing data assimilation of GPM observations

Authors

Silas Michaelides Professor, Climate & Atmosphere Research Center (CARE-C), The Cyprus Institute, Nicosia, Cyprus. Prof Silas Michaelides is a well-respected expert in meteorology and remote sensing with over 40 years of experience. Experienced in teaching, research, and management, his career has included being the Director of the Department of Meteorology of Cyprus, the Permanent Representative of Cyprus to the WMO, EUMETNET and EIG, Associate Editor of the journal Atmospheric Research and member of the Editorial Board of Helyion. He has over 150 publications including more than 100 peer reviewed papers in international journals, 22 book chapters and 30 edited and guest edited books and journals. His areas of interest include Remote Sensing Applications to Meteorology, Dynamic Meteorology, Atmospheric Energetics, Climatology, Weather Radar, Artificial Neural Network applications in Atmospheric Science and Weather Forecasting.