Petascale computing can help with the steepest of advanced computational tasks, like weather system simulation, quantum chemistry and even simulating the activity of organic brains at low levels, for instance.
The computational simulation for weather, seasonal, climate, and environment forecast of ever-increasing range of geophysical phenomena contributes enormously to understand and predict the complex processes in the Earth system, with close relation between the sophistication of prediction models and the availability of computational power [1].
This is the sense in which computational models of the weather simulate the weather.
He envisioned a weather-forecasting center with some 64,000 meteorologists, all working simultaneously to have the computational speed to make accurate weather forecasts in real time.
Lagouvardos et al. [24] and Kotroni et al [25] explored the used of ensemble weather forecasting in computational grid to run different weather models, using the South Eastern Europe Grid eInfrastructure for regional eScience (SEE-GRID-SCI, http://www.see-grid-sci.eu) project.
More complex models join numerical weather models or computational fluid dynamics models with a wildfire component which allow the feedback effects between the fire and the atmosphere to be estimated.
The concept uses a computational physically-based building model and weather forecasts to predict future heating or cooling requirement.
The goal of this effort is to combine the strengths of Numerical Weather Prediction (NWP) with Computational Fluid Dynamics (CFD) to produce locale-specific flow patterns that could be used for micrositing wind power plants.
Many grid projects exist today; many of these are designed to serve the needs of scientific projects requiring huge computational resources, e.g., bioinformatics, climate and weather modeling, and the famous Search for Extra-terrestrial Intelligence (SETI) analysis project.
The proposed model is used to simulate and analyze the dynamic behaviors of the entire collector field for recirculation mode direct steam generation parabolic troughs under different weather conditions, without excessive computational costs.
