Sentence examples for operational prediction from inspiring English sources

A procedure designed for the operational prediction of storm surge in northern Adriatic Sea is presented.

To the best of our knowledge, the only operational prediction model that incorporates the physical mechanism of SEPs was developed by Aran et al. (2006), who predicted the SEP intensity profile from numerical simulations of interplanetary shock propagation and energetic particle transport.

The operational prediction of ocean currents is necessary for carrying out a variety of activities such as shipping and towing as well as search and rescue, tracking pollutants and oil spill, monitoring coastal water quality, forecasting power output from current energy farms, and, issuing warnings to fishermen and to organizers of sports and swimming events.

Until this time, and until a better understanding of the dynamics of marine systems is attained, data assimilation in coupled physical-biological models will be likely to be used more for model improvement and parameter estimation than for operational prediction.

The heat outlook is set for release in 2016, and heavy rain and high wind forecasts will be added after that, said Jon Gottschalck, acting chief of the center's operational predictions branch.

We describe how the FACE-IT workflows engine can be used to couple many simulation/prediction models, leveraging high-performance cloud computing resources to enable fast full system modeling and produce operational predictions about the impact of pollutants spilled out from both natural and anthropic sources in mussels farming high density areas.

AM: The operational weather prediction system is an IBM massively parallel supercomputer in the Washington DC area, at the National Weather Service's National Center for Environmental Prediction.

This is particularly so in a unified modeling environment in which the same dynamical core is used for both operational weather prediction and long term climate simulations.

The set up of a complete operational hydrometeorlogical prediction chain will require coupling of meteorological, hydrological, and hydraulics models and data assimilation algorithms.

While it wasn't the first surprise storm for forecasters — nor would it be the last — these surprises are far less frequent thanks to hard-won advances in meteorology that were indisputably stimulated by the storm, and the development of operational weather prediction models and strategies that came after it.

The skill of hydrologic models, such as those used in operational flood prediction, is currently restricted by the availability of flow gauges and by the quality of the streamflow data used for calibration.