Improving Hurricane Prediction Through Innovative Global Modeling.

Autor: Baker, Edward K., Joseph, Anito, Mehrotra, Anuj, Trick, Michael A., Sharda, Ramesh, Voß, Stefan, Atlas, Robert, Lin, Shian-Jiann, Shen, Bo-Wen, Reale, Oreste, Yeh, Kao-San
Zdroj: Extending the Horizons: Advances in Computing, Optimization & Decision Technologies; 2007, p1-14, 14p
Abstrakt: Current global and regional models incorporating both in situ and remotely sensed observations have achieved a high degree of skill in forecasting the movement of hurricanes. Nevertheless, significant improvements in the prediction of hurricane landfall and intensification are still needed. To meet these needs, research on new observing systems, data assimilation techniques, and better models is being performed. These include the Hurricane Weather Research and Forecasting regional model development by NOAA, as well as the development of an advanced "seamless" global weather and climate model, as a collaborative project involving both NOAA and NASA. This latter model, when completed, will be used to improve short and extended range forecasts of hurricanes, as well as to determine the relationship between global climate change and long-term variations in hurricane frequency and intensity, more accurately than is possible today. As a starting point for the seamless global weather and climate model, the horizontal resolution of the previously developed finite volume General Circulation Model has been increased to 1/12° (approximately 9 km) in a series of successive steps. This was made possible by advances in both computing and optimization technologies. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index