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。这项建议解决了极高分辨率数值天气预报中最具挑战性的问题，通过吸收现有的最高数量的天气观测值，获得用于初始化预报集合的最佳状态估计，并解决只能在PB级计算平台上实现的问题规模和规模。该项目的重点是雷暴的产生、传播和演化这一非常棘手的问题。这项投资对更准确和及时地预报雷暴的影响可能会对危险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.