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dc.contributor.authorThomson, SI
dc.contributor.authorVallis, GK
dc.date.accessioned2020-04-01T10:56:37Z
dc.date.issued2019-12-12
dc.description.abstractWe describe the use of Isca for the hierarchical modeling of Solar System planets, with particular attention paid to Earth, Mars, and Jupiter. Isca is a modeling framework for the construction and use of models of planetary atmospheres at varying degrees of complexity, from featureless model planets with an atmosphere forced by a thermal relaxation back to a specified temperature, through aquaplanets with no continents (or no ocean) with a simple radiation scheme, to near-comprehensive models with a multi-band radiation scheme, a convection scheme, and configurable continents and topography By a judicious choice of parameters and parameterization schemes, the model may be configured for fairly arbitrary planets, with stellar radiation input determined by astronomical parameters, taking into account the planet's obliquity and eccentricity In this paper, we describe the construction and use of models at varying levels of complexity for Earth, Mars and Jupiter using the primitive equations and/or the shallow water equations.en_GB
dc.description.sponsorshipLeverhulme Trusten_GB
dc.identifier.citationVol. 10 (12), article 803en_GB
dc.identifier.doi10.3390/ATMOS10120803
dc.identifier.urihttp://hdl.handle.net/10871/120490
dc.language.isoenen_GB
dc.publisherMDPIen_GB
dc.relation.urlhttps://github.com/ExeClim/Iscaen_GB
dc.rights© 2019 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 (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectplanetary atmospheresen_GB
dc.subjectgeneral circulation modelsen_GB
dc.subjectclimate modelsen_GB
dc.subjectmodel hierarchyen_GB
dc.titleHierarchical modeling of solar system planets with Iscaen_GB
dc.typeArticleen_GB
dc.date.available2020-04-01T10:56:37Z
dc.descriptionThis is the final version. Available from MDPI via the DOI in this record. en_GB
dc.descriptionAll of the code necessary to run Isca, including the experiments described in this paper, are available on GitHub at https://github.com/ExeClim/Isca.en_GB
dc.identifier.journalAtmosphereen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-12-02
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-12-02
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-04-01T10:51:16Z
refterms.versionFCDVoR
refterms.dateFOA2020-04-01T10:56:41Z
refterms.panelBen_GB
refterms.depositExceptionpublishedGoldOA


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© 2019 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 (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2019 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 (http://creativecommons.org/licenses/by/4.0/).