首页> 外文会议>International Conference on Domain Decomposition Methods >Domain Decomposition in Shallow Lake Modelling for Operational Forecasting of Flooding
【24h】

Domain Decomposition in Shallow Lake Modelling for Operational Forecasting of Flooding

机译:浅水湖浅湖模型中的域分解

获取原文

摘要

We studied how to run efficiently shallow-water models of an operational system for prediction of flooding at the borders of the major Dutch lakes. Aim is to combine the shallow-water models with short-to-medium weather ensemble forecasts to enlarge the time horizon. This asks for a balance between low computational times per ensemble member and the efficient use of the available resources on current hardware. Here, the essential ingredient is the domain decomposition technique in the applied shallow-water solver.
机译:我们研究了如何运行有效的浅水模型的运营系统,以便在大荷兰湖泊边界预测洪水。目的是将浅水模型与短到媒体的天气合奏预测结合起来,以扩大时间范围。这要求每个集合成员的低计算时间与当前硬件上的可用资源的有效使用之间的平衡。这里,基本成分是应用浅水求解器中的域分解技术。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号