Uncertainties in Numerical Weather Prediction

Haraldur Olafsson

ISBN 10: 0128154918 / ISBN 13: 9780128154915

Edité par Elsevier Science & Technology Sep 2020, 2020

A propos de cet article

Neuware - 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.

N° de réf. du vendeur 9780128154915

Détails bibliographiques

• Titre: Uncertainties in Numerical Weather Prediction
• Éditeur: Elsevier Science & Technology Sep 2020
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 0128154918
• ISBN à 13 chiffres: 9780128154915
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 235 L x 191 H x 20 P (en millimètres) 235 millimètres de largeur par 191 millimètres de hauteur par 20 millimètres de profondeur
• Poids: 504 grammes

A propos de ce titre

Synopsis

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.

À propos des auteurs

Haraldur Ólafsson is a professor of atmospheric physics at the University of Iceland, leading the Reykjavik School of Meteorology. He is a former professor and the leader of the Bergen School of Meteorology at the University of Bergen in Norway. He has a doctorate from Université Paul Sabatier in France and a Cand. Scient. from the University of Oslo, Norway. Haraldur Olafsson is an expert in mesoscale meteorology and climatology and orographic processes.

Jian-Wen Bao is a research meteorologist at NOAA Physical Sciences Laboratory. He was responsible for developing and testing the physics component of a research global weather prediction model. He is currently participating in a project as a project co-lead to develop an advanced physics suite in NOAA's Unified Forecast System.