Collaborative Research: Enabling Petascale Ensemble-based Data Assimilation for the Numerical Analysis and Prediction of High-Impact Weather

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。该提案解决了高分辨率数值天气预报中最具挑战性的问题，通过吸收可用的最大量天气观测来获得初始化预测集合的最佳状态估计，并解决了只有在千万亿次计算平台上才能实现的问题大小和规模。该项目的重点是非常困难的问题，雷暴的起源，传播和演变。这项投资在更准确和及时的雷暴预报方面的效果可能对危害分析和管理产生潜在的变革性影响。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). This proposal addresses the most challenging problems of very-high-resolution Numerical Weather Prediction, obtaining the optimal state estimations for initializing ensembles of predictions by assimilating the highest volume of weather observations available, and addressing problem sizes and scales that are only attainable on petascale computing platforms. The project is focused on the very hard problem of thunderstorm initiation, propagation and evolution. The effect of this investment in more accurate and timely forecast of thunderstorms can have a potentially transformative impact on hazard analysis and management.