Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/103819
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.contributorResearch Institute for Land and Space-
dc.contributorOtto Poon Charitable Foundation Smart Cities Research Institute-
dc.creatorLu, Fen_US
dc.creatorZhang, Fen_US
dc.creatorWang, Ten_US
dc.creatorTian, Gen_US
dc.creatorWu, Fen_US
dc.date.accessioned2024-01-10T02:38:54Z-
dc.date.available2024-01-10T02:38:54Z-
dc.identifier.issn2073-4433en_US
dc.identifier.urihttp://hdl.handle.net/10397/103819-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Lu, F., Zhang, F., Wang, T., Tian, G., & Wu, F. (2022). High-Order Semi-Lagrangian Schemes for the Transport Equation on Icosahedron Spherical Grids. Atmosphere, 13(11), 1807 is available at https://doi.org/10.3390/atmos13111807.en_US
dc.subjectTransport equationen_US
dc.subjectSemi-Lagrangian methoden_US
dc.subjectIcosahedron sphereen_US
dc.subjectRunge-Kutta methodsen_US
dc.subjectRadial basis functionen_US
dc.titleHigh-order semi-lagrangian schemes for the transport equation on icosahedron spherical gridsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume13en_US
dc.identifier.issue11en_US
dc.identifier.doi10.3390/atmos13111807en_US
dcterms.abstractThe transport process is an important part of the research of fluid dynamics, especially when it comes to tracer advection in the atmosphere or ocean dynamics. In this paper, a series of high-order semi-Lagrangian methods for the transport process on the sphere are considered. The methods are formulated entirely in three-dimensional Cartesian coordinates, thus avoiding any apparent artificial singularities associated with surface-based coordinate systems. The underlying idea of the semi-Lagrangian method is to find the value of the field/tracer at the departure point through interpolating the values of its surrounding grid points to the departure point. The implementation of the semi-Lagrangian method is divided into the following two main procedures: finding the departure point by integrating the characteristic equation backward and then interpolate on the departure point. In the first procedure, three methods are utilized to solve the characteristic equation for the locations of departure points, including the commonly used midpoint-rule method and two explicit high-order Runge-Kutta (RK) methods. In the second one, for interpolation, four new methods are presented, including (1) linear interpolation; (2) polynomial fitting based on the least square method; (3) global radial basis function stencils (RBFs), and (4) local RBFs. For the latter two interpolation methods, we find that it is crucial to select an optimal value for the shape parameter of the basis function. A Gauss hill advection case is used to compare and contrast the methods in terms of their accuracy, and conservation properties. In addition, the proposed method is applied to standard test cases, which include solid body rotation, shear deformation of twin slotted cylinders, and the evolution of a moving vortex. It demonstrates that the proposed method could simulate all test cases with reasonable accuracy and efficiency.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAtmosphere, Nov. 2022, v. 13, no. 11, 1807en_US
dcterms.isPartOfAtmosphereen_US
dcterms.issued2022-11-
dc.identifier.isiWOS:000894323900001-
dc.identifier.scopus2-s2.0-85146113663-
dc.identifier.artn1807en_US
dc.description.validate202401 bcvc-
dc.description.oaVersion of Recorden_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Jiangsu Province 333 projecten_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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