Overview

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.

Full Product Details

Author:   Haraldur Olafsson (Professor, Reykjavik School of Meteorology, University of Iceland) ,  Jian-Wen Bao (Research Meteorologist, Physical Sciences Laboratory, NOAA) ,  Haraldur Olafsson (Reykjavik School of Meteorology, University of Iceland) ,  Haraldur Olafsson (Reykjavik School of Meteorology, University of Iceland)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Elsevier Science Publishing Co Inc
Weight:   0.760kg
ISBN:  

9780128154915

ISBN 10:   0128154918
Pages:   364
Publication Date:   25 November 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. DYNAMICAL CORES FOR NWP: AN UNCERTAIN LANDSCAPE 2. DYNAMICAL MODEL DISCRETIZETION 3. PROBABILISTIC VIEW OF NUMERICAL WEATHER PREDICTION AND ENSEMBLE PREDICTION 4. PREDICTABILITY 5. MODELING MOIST DYNAMICS ON SUBGRID SCALES 6. ENSEMBLE DATA ASSIMILATION 7. SUBGRID TURBULENCE MIXING 8. UNCERTAINTIES IN THE SURFACE LAYER PHYSICS PARAMETERIZATIONS 9. INTERACTION OF CLOUDS AND RADIATION 10. UNCERTAINTIES IN THE PARAMETERIZATION OF CLOUD MICROPHYSICS: AN ILLUSTRATION OF THE PROBLEM 11. MEOSCALE OROGRAPHIC FLOWS 12. TRACERS AND ATMOSPHERIC RIVERS 13. DYNAMIC IDENTIFICATION AND TRACING OF ERRORS IN NUMERICAL SIMULATIONS OF THE ATMOSPHERE

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Author Information

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.

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