Crack propagation modeling in quasi-brittle materials such as concrete is essential for improving the reliability and load-bearing capacity assessment. Crack propagation explains many failure characteristics of concrete structures using the fracture mechanics approach. This approach could better explain the softening behavior of concrete structures. A great effort has been made in developing nu...

NOVEMBER 2003 AMERICAN METEOROLOGICAL SOCIETY | L ogistical and scientific operations in Antarctica are critically dependent on numerical weather guidance. The extreme, unforgiving environment amplifies the risks stemming from poor forecasts, while the sparse observing network often leaves forecasters heavily reliant on numerical weather prediction (NWP). To the operation of real-time mesoscale...

The use of look-up-tables (LUTs) to represent parameterizations within numerical weather prediction and other atmospheric models is presented. We discuss several approaches as to how the use of LUTs can be optimized in order to retain the physical representation of the parameterization, yet be much more computationally efficient than the parent parameterization from which they are derived. tras...

The need for reliable predictions in environmental modelling is long known. Particularly, the predicted weather and meteorological information about the future atmospheric state is crucial and necessary for almost all other areas of environmental modelling. Additionally, right decisions to prevent damages and save lives could be taken depending on a reliable meteorological prediction process. L...

The long term goal of this research is to explore new numerical methods for the next generation global atmospheric model. The reason for considering new methods is due to the paradigm shift in high performance computing from vector computers to distributed memory machines. To take full advantage of the new architectures the global domain must now be partitioned into subdomains/ elements that ca...

Numerical models have become essential tools in the study and prediction of natural climate variability and anthropogenic climate change. However the skill of such models in simulating the observed climate variability is still severely limited by (1) numerical approximations in the discretization of the hydrodynamical equations and (2) imperfect parameterizations of the myriad of atmospheric an...

The purpose of this paper is to develop a general framework for the prediction of complex multiscale phenomena and to illustrate this framework through comparison to two examples of current interest to the authors. Prediction involves a two step process of inverse prediction to describe the system, given observations of its behavior, and forward prediction, to specify system behavior, given its...