Uncertainties in Numerical Weather Prediction

Uncertainties in Numerical Weather Prediction Haraldur Olafsso, Jian-Wen Bao
Uncertainties in Numerical Weather Prediction is a comprehensive work on the most current understandings of uncertainties and predictability in numerical simulations of the atmosphere. It provides general knowledge on all aspects of uncertainties in the weather prediction models in a single, easy to use reference. The book illustrates particular uncertainties in observations and data assimilation, as well as the errors associated with numerical integration methods. Stochastic methods in parameterization of subgrid processes are also assessed, as are uncertainties associated with surface-atmosphere exchange, orographic flows and processes in the atmospheric boundary layer. Through a better understanding of the uncertainties to watch for, readers will be able to produce more precise and accurate forecasts. This is an essential work for anyone who wants to improve the accuracy of weather and climate forecasting and interested parties developing tools to enhance the quality of such forecasts. Categories:
Computers – Applications & Software
Year:
2020
Publisher:
Elsevier
Language:
english
Pages:
364 / 353
ISBN 10:
0128154918
ISBN 13:
9780128154915
File:
40.52 MB