The summer school was organized by the Dynamical Processes and Predictability Working Group (PDP WG) of THORPEX1. THORPEX is a 10-year international research and development program to accelerate improvements in the accuracy of one-day to two-week high impact weather forecasts for the benefit of society, the economy and the environment. The PDP WG provides the connection between the operational...

Taking advantage of the advent of massively parallel computers, sophisticated solution-adaptive techniques, and recent fundamental advances in basic numerical methods we have developed a high performance, adaptive-scale MHD code capable of resolving many of the critical processes in the Sun–Earth system which range over more than nine orders of magnitude. The development of such models are of i...

A computationally intensive part in a model for numerical weather forecasting solves a set of partial diierential equations. There are several techniques to obtain this solution numerically. In this paper we will discuss the implementation of a numerical weather forecasting model on a massively parallel architecture using two techniques: a nite diierence (gridpoint) method and a spectral method...

A. Pietroniro, V. Fortin, N. Kouwen, C. Neal, R. Turcotte, B. Davison, D. Verseghy, E. D. Soulis, R. Caldwell, N. Evora, and P. Pellerin National Water Research Institute, Environment Canada, Canada Numerical Weather Prediction Research, Meteorological Research Division, Environment Canada, Canada University of Waterloo, Canada Water Survey of Canada, Environment Canada, Canada Centre d’experti...

The data assimilation of stratospheric constituents is reviewed. Several data assimilation methods are introduced, with particular consideration to their application to stratospheric constituent measurements. Differences from meteorological data assimilation are outlined. Historically, two approaches have been used to carry out constituent assimilation. One approach has carried constituent assi...

Wind direction is an angular variable, as opposed to weather quantities such as temperature, quantitative precipitation, or wind speed, which are linear variables. Consequently, traditional model output statistics and ensemble postprocessing methods become ineffective, or do not apply at all. This paper proposes an effective bias correction technique for wind direction forecasts from numerical ...

Visualization is critical to the effective analysis, dissemination and assessment of data generated by numerical weather prediction. In that regard, consider two aspects of our previous work. First is the need to develop appropriate mapping of user goals to the design of pictorial content by considering both the underlying data characteristics and the perception of the visualization (Treinish, ...

Remotely-sensed observations from satellites hold great promise for providing a wealth of hightemporal and spatial resolution data, particularly over the oceans. However, it has been very difficult for numerical weather prediction systems to show consistent, positive forecast improvement attributable to satellite retrievals obtained in the conventional manner. By developing techniques for the d...

The hydroclimate of the Murray-Darling Basin in southeast Australia has been investigated by estimating the Basin’s atmospheric water balance, based on numerical weather prediction (NWP) output. The water balance has been calculated for the period from 2000 to 2004, using archived output from the Australian Bureau of Meteorology’s mesoscale model, the Limited Area Prediction System (LAPS). The ...

As solar thermal and photovoltaic generation begin to have a larger role in electrical generation in California, the California Independent System Operators needs to accommodate their variable nature in its forecasting and dispatching. This project reviews and evaluates current knowledge and models for forecasting solar resources and considers options for improving forecasts through RD&D and ad...