amatos: Parallel adaptive mesh generator for atmospheric and oceanic simulation
The grid generator amatos has been developed for adaptive modeling of ocean and atmosphere circulation. It features adaptive control of planar, spherical, and volume grids with triangular or tetrahedral elements refined by bisection. The user interface (GRID API), a Fortran 90 module, shields the ap...
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Veröffentlicht in: | Ocean modelling (Oxford) 2005, Vol.10 (1), p.171-183 |
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container_title | Ocean modelling (Oxford) |
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creator | Behrens, Jörn Rakowsky, Natalja Hiller, Wolfgang Handorf, Dörthe Läuter, Matthias Päpke, Jürgen Dethloff, Klaus |
description | The grid generator
amatos has been developed for adaptive modeling of ocean and atmosphere circulation. It features adaptive control of planar, spherical, and volume grids with triangular or tetrahedral elements refined by bisection. The user interface (GRID API), a Fortran 90 module, shields the application programmer from the technical aspects of mesh adaptation like
amatos’ hierarchical data structure, the OpenMP parallelization, and the effective calculation of a domain decomposition by a space filling curve (SFC) approach.
This article presents the basic structure and features of
amatos, the powerful SFC ordering and decomposition of data, and two example applications, namely the modeling of tracer advection in the polar vortex and the development of the adaptive finite element atmosphere model PLASMA (parallel large scale model of the atmosphere). |
doi_str_mv | 10.1016/j.ocemod.2004.06.003 |
format | Article |
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amatos has been developed for adaptive modeling of ocean and atmosphere circulation. It features adaptive control of planar, spherical, and volume grids with triangular or tetrahedral elements refined by bisection. The user interface (GRID API), a Fortran 90 module, shields the application programmer from the technical aspects of mesh adaptation like
amatos’ hierarchical data structure, the OpenMP parallelization, and the effective calculation of a domain decomposition by a space filling curve (SFC) approach.
This article presents the basic structure and features of
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amatos’ hierarchical data structure, the OpenMP parallelization, and the effective calculation of a domain decomposition by a space filling curve (SFC) approach.
This article presents the basic structure and features of
amatos, the powerful SFC ordering and decomposition of data, and two example applications, namely the modeling of tracer advection in the polar vortex and the development of the adaptive finite element atmosphere model PLASMA (parallel large scale model of the atmosphere).</description><subject>Finite elements</subject><subject>Grid generation</subject><subject>Marine</subject><subject>Ocean and atmosphere modeling</subject><subject>Parallelization</subject><issn>1463-5003</issn><issn>1463-5011</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNp9kD9PwzAQxS0EEqXwDRgysSXYsWMnDEio4p9UqQwwW1f7Ql0lcbDTSnx7XBUxMpzuDe-90_0IuWa0YJTJ223hDfbeFiWloqCyoJSfkBkTkucVZez0T1N-Ti5i3FLKFOPVjKygh8nHu-wNAnQddhlYGCe3x6zHuMk-ccCQHCFr08DU-zhuMDiTwWCzdBaGpKPrdx1Mzg-X5KyFLuLV756Tj6fH98VLvlw9vy4elrnhXE25aivLuFVNLagQTYsN1gbl2qqyrmrJWxR2rRpaqRJYhVIA1FyVVcuM4jU2fE5ujr1j8F87jJPuXTTYdTCg30XNFC9lWbNkFEejCT7GgK0eg-shfGtG9YGe3uojPX2gp6nUiVKK3R9jmJ7YOww6GoeDQesCmklb7_4v-AE8B3qo</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Behrens, Jörn</creator><creator>Rakowsky, Natalja</creator><creator>Hiller, Wolfgang</creator><creator>Handorf, Dörthe</creator><creator>Läuter, Matthias</creator><creator>Päpke, Jürgen</creator><creator>Dethloff, Klaus</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>2005</creationdate><title>amatos: Parallel adaptive mesh generator for atmospheric and oceanic simulation</title><author>Behrens, Jörn ; Rakowsky, Natalja ; Hiller, Wolfgang ; Handorf, Dörthe ; Läuter, Matthias ; Päpke, Jürgen ; Dethloff, Klaus</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-7f5d13d79840449fe9e8ce6bd7285863fe4db790572a15e64aa83725f1c738e93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Finite elements</topic><topic>Grid generation</topic><topic>Marine</topic><topic>Ocean and atmosphere modeling</topic><topic>Parallelization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Behrens, Jörn</creatorcontrib><creatorcontrib>Rakowsky, Natalja</creatorcontrib><creatorcontrib>Hiller, Wolfgang</creatorcontrib><creatorcontrib>Handorf, Dörthe</creatorcontrib><creatorcontrib>Läuter, Matthias</creatorcontrib><creatorcontrib>Päpke, Jürgen</creatorcontrib><creatorcontrib>Dethloff, Klaus</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Ocean modelling (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Behrens, Jörn</au><au>Rakowsky, Natalja</au><au>Hiller, Wolfgang</au><au>Handorf, Dörthe</au><au>Läuter, Matthias</au><au>Päpke, Jürgen</au><au>Dethloff, Klaus</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>amatos: Parallel adaptive mesh generator for atmospheric and oceanic simulation</atitle><jtitle>Ocean modelling (Oxford)</jtitle><date>2005</date><risdate>2005</risdate><volume>10</volume><issue>1</issue><spage>171</spage><epage>183</epage><pages>171-183</pages><issn>1463-5003</issn><eissn>1463-5011</eissn><abstract>The grid generator
amatos has been developed for adaptive modeling of ocean and atmosphere circulation. It features adaptive control of planar, spherical, and volume grids with triangular or tetrahedral elements refined by bisection. The user interface (GRID API), a Fortran 90 module, shields the application programmer from the technical aspects of mesh adaptation like
amatos’ hierarchical data structure, the OpenMP parallelization, and the effective calculation of a domain decomposition by a space filling curve (SFC) approach.
This article presents the basic structure and features of
amatos, the powerful SFC ordering and decomposition of data, and two example applications, namely the modeling of tracer advection in the polar vortex and the development of the adaptive finite element atmosphere model PLASMA (parallel large scale model of the atmosphere).</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.ocemod.2004.06.003</doi><tpages>13</tpages></addata></record> |
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subjects | Finite elements Grid generation Marine Ocean and atmosphere modeling Parallelization |
title | amatos: Parallel adaptive mesh generator for atmospheric and oceanic simulation |
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