Search

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

In this book, the authors present current research in the study of the prediction, formation and environmental impact of precipitation. Topics discussed in this compilation include the precipitation of anions in aqueous systems; inter-decadal trend turnings of climate modes and dynamic/thermodynamic structures associated with a series of winter precipitation events over China; stochastic modeling and simulation of daily precipitation for weather generation; anion intercalation during Mg-Al LDH precipitation and main water-soluble ions in precipitation of the central Mediterranean region.

Rainfall is often considered as the source of the hydrological cycle. Being able to forecast rainfall accurately has immense practical benefits. In this book, experts from around the world share their knowledge and highlight challenges on rainfall forecasting. Topics discussed include statistical downscaling for short term quantitative precipitation forecasting; empirical approaches in long-term rainfall forecasting; the challenge of warm-season convective precipitation forecasting; the precipitation field in southern Italy; prediction of tropical cyclone rainfall potential in Taiwan mountainous areas, and real time flood control using quantitative precipitation forecast and ensemble approach.

This book focuses specifically on bin and bulk parameterizations for the prediction of cloud and precipitation at various scales - the cloud scale, mesoscale, synoptic scale, and the global climate scale. It provides a background to the fundamental principles of parameterization physics, including processes involved in the production of clouds, ice particles, liquid water, snow aggregate, graupel and hail. It presents full derivations of the parameterizations, allowing readers to build parameterization packages, with varying levels of complexity based on information in the book. Architectures for a range of dynamical models are given, in which parameterizations form a significant tool for investigating large non-linear numerical systems. Model codes are available online at www.cambridge.org/9780521883382. Written for researchers and advanced students of cloud and precipitation microphysics, this book is also a valuable reference for all atmospheric scientists involved in models of numerical weather prediction.

Water cycling and the future availability of fresh water resources are immense societal concerns that impact all nations on Earth as it affects virtually every environmental issue. Precipitation is also a fundamental component of the weather/climate system for it regulates the global energy and radiation balance through coupling to clouds, water vapor, global winds and atmospheric transport. Accurate and comprehensive information on precipitation is essential for understanding the global water/energy cycle and for a wide range of research and applications with practical benefits to society. However, rainfall is difficult to measure because precipitation systems tend to be random in character and also evolve and dissipate very rapidly. It is not uncommon to see a wide range of rain amounts over a small area; and in any given area, the amount of rain can vary significantly over a short time span. These factors together make precipitation difficult to quantify, yet measurements at such local scales are needed for many hydrometeorological applications such as flood and landslide forecasting. Historical, multi-decadal measurements of precipitation from surface-based rain gauges are available over continents, but oceans remained largely unobserved prior to the beginning of the satellite era. Early visible and infrared satellites provided information on cloud tops and their horizontal extent; however, wide-band microwave frequencies proved extremely useful for probing into the precipitating liquid and ice layers of clouds.