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 a general knowledge of all aspects of uncertainties in the weather prediction models in a single, easy to use reference. Uncertainties in Numerical Weather Prediction illustrates the particular uncertainties in observations and data assimilation, as well as the errors associated with the numerical integration methods. Stochastic methods in parameterisation of subgrid processes are also assessed, as well as 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 wanting to improve the accuracy of weather and climate forecasting, or developing tools to enhance the quality of such forecasts.
- Provides a comprehensive overview of the state of numerical weather prediction at spatial scales, from hundreds of meters, to thousands of kilometers
- Focuses on short-term 1-15 day atmospheric predictions, with some coverage appropriate for longer-term forecasts
- Includes references to climate prediction models to allow applications of these techniques for climate simulations
1. Data assimilation 2. Convection and precipitation 3. Cloud microphysics and aerosols 4. Radiation 5. Turbulent mixing 6. Surface processes 7. Orographic processes 8. Scale interaction and conceptual tools 9. Mathematical tools and methods 10. Solutions of dynamical models 11. Ensemble prediction 12. Post-processing methods
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 the NOAA Earth System Research Laboratory. He has been leading various research projects on the impact of air-sea interaction on tropical storm development. He has also been leading a team effort to evaluate the performance of numerical weather prediction models in air quality simulations and prediction. He was responsible for developing and testing the physics component of the ESRL global model. He is currently leading an effort to develop and improve stochastic physics parameterization schemes in NOAA's Next Generation Global Prediction System