Parallelization of a next generation large/local-scale flood model and its application to now-casting

在本项目的框架下，开展了洪水模型和实时洪水预报系统并行化的基础研究。首先，淀川河分布式径流/洪水淹没（DRR/FI）模型的开发。淀川DRR/FI模型的分辨率为250米（427乘以565=241255个节点）。CPU时间约为5分30秒。即使使用最快的商用CPU Intel Xeon，也可以在研究开始时进行1小时的模拟。然而，这个CPU时间减少到1分30秒。通过Intel Xeon的14核Open MP线程并行化。之后，通过与SPIRE（创新研究战略计划）的合作，淀川DRR/FI模型被转移到K超级计算机上，然后CPU时间被缩短到几十秒。同时，开发了以1 km JMA再分析雷达雨量为输入的淀川真实的实时洪水预报系统原型。

The basic research regarding the parallelization of a flood model and real-time flood forecasting system has been carried out in the framework of this project. First, a Yodogawa river distributed rainfall-runoff/flood-inundation (DRR/FI) model is developed. The resolution of the Yodogawa DRR/FI model is 250m (427 times 565=241255 nodes). The CPU time was around 5 min and 30 sec. for 1 hour simulation in the beginning of the research even if a fastest commercial CPU Intel Xeon is used. However, this CPU time is reduced down to 1 min. and 30 sec. by the Open MP thread parallelization with 14 cores of the Intel Xeon. Afterwards, through the cooperation with the SPIRE (Strategic Programs for Innovative Research), the Yodogawa DRR/FI model is transferred to the K supercomputer, then the CPU time is reduced down to several tens of seconds. On the same time, a prototype of the Yodogawa real time flood forecasting system with the input of 1km JMA reanalysis radar rainfall is developed.