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Abstract
In this study, a parallel extension of the Coastal and Estuarine Storm Tide (CEST) model is developed and applied to simulate the storm surge tide at South Florida induced by hurricane Irma occurred in 2017. An improvement is also made to the existing advection algorithm in CEST. This is achieved through the introduction of high-order, monotone Semi-Lagrangian advection. Distributed memory parallelization is developed via the Message Passing Interface (MPI) library. The parallel CEST model can therefore be run efficiently on machines ranging from multicore laptops to massively High Performance Computing (HPC) system. The principle advantage of being able to run the CEST model on multiple cores is that relatively low run-time is possible for real world storm surge simulations on grids with high resolution, especially in the locality where the hurricane makes landfall. The computational time is critical for storm surge model forecast to finish simulations in 30 min, and results are available to users before the arrival of the next advisory. In this study, simulation of hurricane Irma induced storm surge was approximately 22 min for 4 day simulation, with the results validated by field measurements. Further efficiency analysis reveals that the parallel CEST model can achieve linear speedup when the number of processors is not very large.
Highlights
The Coastal and Estuarine Storm Tide (CEST) numerical model was developed at the International Hurricane Research Center (IHRC), based at Florida International University (FIU) in Miami, around a decade ago
In this paper we present a modified version of the CEST model that includes an improved advection algorithm and a simple parallelization via the message passing interface (MPI) library
This paper describes the parallelization of the IHRC–CEST model using the Message Passing Interface (MPI) library
Summary
The Coastal and Estuarine Storm Tide (CEST) numerical model was developed at the International Hurricane Research Center (IHRC), based at Florida International University (FIU) in Miami, around a decade ago. The CEST model has both 2D and 3D variants, in this paper we are concerned with the 2D version that is based on the depth– averaged, primitive variable, non–linear shallow water (NLSW) equations expressed on orthogonal curvilinear coordinates. These governing equations are solved via an algorithm that is based on the semi–implicit finite–difference (FD) approach (Casulli, 1990). The CEST model allows for forcing by winds, atmospheric pressure and astronomical tides, and is capable of simulating storm tides as well as the wind–driven circulation at estuaries and coasts. As described in Zhang et al (2008) the CEST model incorporates a novel wetting–drying algorithm that is based on an accumulated water volume approach for dry cells
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