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Discontinuous Galerkin unsteady discrete adjoint method for real-time efficient tsunami simulations

机译:实时高效海啸模拟的不连续Galerkin非稳态离散伴随方法

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摘要

An unsteady discrete adjoint implementation for a discontinuous Galerkin model solving the shallow water wave equations on the sphere is presented. Its use for tsunami simulations is introduced to reconstruct the initial condition automatically from buoy measurements. Based on this feature, a real-time tsunami model is developed, using several numerical tools such as a high-order discretization, hp-refinement, parallel dynamic load balancing and adjoint-based data assimilation. The model is able to reconstruct the tsunami source and accurately forecast its far-field propagation (e.g. from Japan to Chile, at a distance of about 17000. km) in a computational time 20 times faster than the physical propagation time, to which the data collecting time needs to be added. The work presented constitutes a step towards an efficient nonlinear tsunami warning model. Additional features could be added for more complete realistic forecasts.
机译:提出了一种求解球面浅水波方程的不连续Galerkin模型的非稳态离散伴随实现。介绍了其在海啸模拟中的用途,以根据浮标测量自动重建初始条件。基于此功能,使用多种数值工具(例如高阶离散化,hp细化,并行动态负载平衡和基于伴随的数据同化)开发了实时海啸模型。该模型能够重建海啸源,并以比物理传播时间快20倍的计算时间,准确地预测海啸的远场传播(例如,从日本到智利,相距约17000. km)。需要增加收集时间。提出的工作是朝着有效的非线性海啸预警模型迈出的一步。可以添加其他功能以获得更完整的现实预测。

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