Uncertainties in Numerical Weather Prediction (Paperback)

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.

General

Imprint:	Elsevier Science Publishing Co Inc
Country of origin:	United States
Release date:	November 2020
First published:	2021
Editors:	Haraldur Olafsson • Jian-Wen Bao
Dimensions:	235 x 191 x 23mm (L x W x T)
Format:	Paperback
Pages:	364
ISBN-13:	978-0-12-815491-5
Categories:	Books > Science & Mathematics > Physics > Applied physics & special topics > Atmospheric physics Books > Earth & environment > Earth sciences > Meteorology > General Books > Computing & IT > Computer software packages > Other software packages > Enterprise software > General Promotions
LSN:	0-12-815491-8
Barcode:	9780128154915

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