Haoran Sun , Damrongsak Wirasaet , Andrew B. Kennedy , Yuepeng Li , Amirhosein Begmohammadi , Diogo Bolster
{"title":"Subgrid correction of storm surge modeling in orthogonal curvilinear coordinates","authors":"Haoran Sun , Damrongsak Wirasaet , Andrew B. Kennedy , Yuepeng Li , Amirhosein Begmohammadi , Diogo Bolster","doi":"10.1016/j.envsoft.2025.106435","DOIUrl":null,"url":null,"abstract":"<div><div>Ensemble forecasts of storm surge require rapid computations of storm surge models over a fixed cycle, usually with relatively coarse-grid models. This work describes numerical extensions to include subgrid approaches accounting for the bulk effect of high-resolution bathymetry and bottom roughness to increase the accuracy of these coarse-grid setups. In particular, the subgrid corrections are developed in a semi-implicit staggered-grid finite difference formulation for the 2D non-linear Shallow Water Equations expressed in an orthogonal curvilinear coordinate system. This general framework is implemented for the Coastal and Estuarine Storm Tide (CEST) model. Verification and validation using a number of test cases, ranging from an idealized test case with analytical solutions to real-world storm surge problems, are conducted in order to assess the performance of the subgrid features. Comparisons of solution accuracy and speed show the subgrid implementation consistently improves cost versus accuracy performance.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"189 ","pages":"Article 106435"},"PeriodicalIF":4.8000,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Modelling & Software","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1364815225001197","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Ensemble forecasts of storm surge require rapid computations of storm surge models over a fixed cycle, usually with relatively coarse-grid models. This work describes numerical extensions to include subgrid approaches accounting for the bulk effect of high-resolution bathymetry and bottom roughness to increase the accuracy of these coarse-grid setups. In particular, the subgrid corrections are developed in a semi-implicit staggered-grid finite difference formulation for the 2D non-linear Shallow Water Equations expressed in an orthogonal curvilinear coordinate system. This general framework is implemented for the Coastal and Estuarine Storm Tide (CEST) model. Verification and validation using a number of test cases, ranging from an idealized test case with analytical solutions to real-world storm surge problems, are conducted in order to assess the performance of the subgrid features. Comparisons of solution accuracy and speed show the subgrid implementation consistently improves cost versus accuracy performance.
期刊介绍:
Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.