Precipitation Science : Measurement, Remote Sensing, Microphysics, and Modeling

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.

• 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

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.