Uncertainties in Numerical Weather Prediction

Uncertainties in Numerical Weather Prediction is a comprehensive work that provides general knowledge on all aspects of uncertainties in weather prediction models, including observations, data assimilation, numerical integration methods, stochastic methods, and surface-atmosphere exchange. It helps readers produce more precise and accurate forecasts and is essential for anyone interested in improving the accuracy of weather and climate forecasting.

Format: Paperback / softback
Length: 364 pages
Publication date: 25 November 2020
Publisher: Elsevier Science Publishing Co Inc

Uncertainties in Numerical Weather Prediction is a comprehensive and up-to-date resource that delves into the intricate realm of uncertainties and predictability in numerical simulations of the atmosphere. It offers a comprehensive overview of all aspects of uncertainties in weather prediction models, making it an invaluable reference for practitioners and researchers alike. The book provides a systematic approach to understanding the sources and characteristics of uncertainties, encompassing observations, data assimilation, numerical integration methods, parameterization of subgrid processes, surface-atmosphere exchange, orographic flows, and atmospheric boundary layer processes. By gaining a deeper understanding of these uncertainties, readers can enhance their ability to produce more precise and accurate weather forecasts. This book is particularly relevant for individuals and organizations involved in weather and climate forecasting, as well as those developing tools to improve the quality of such forecasts. Its comprehensive coverage and insightful analysis make it an essential resource for advancing our understanding of atmospheric dynamics and improving weather prediction capabilities.

Weight: 758g
Dimension: 191 x 234 x 23 (mm)
ISBN-13: 9780128154915