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qgs: A flexible Python framework of reduced-order multiscale climate models

dc.contributor.authorDemaeyer, Jonathan
dc.contributor.authorDe Cruz, Lesley
dc.contributor.authorVannitsem, Stéphane
dc.contributor.editorHarpole, Alice
dc.contributor.editorSmith, Arfon
dc.date2020-12-24
dc.date.accessioned2022-02-16T14:50:43Z
dc.date.available2022-02-16T14:50:43Z
dc.identifier.citationDemaeyer et al., (2020). qgs: A flexible Python framework of reduced-order multiscale climate models. Journal of Open Source Software, 5(56), 2597, https://doi.org/10.21105/joss.02597en_US
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/9792
dc.descriptionqgs is a a Python implementation of a set of idealized reduced-order models representing atmospheric mid-latitude variability. It consists of a two-layer quasi-geostrophic spectral model of the atmosphere on a beta-plane, coupled either to a simple land surface or to a shallow-water ocean. The model’s dynamical fields include the atmospheric and oceanic streamfunction and temperature fields, and the land temperature fielden_US
dc.languageengen_US
dc.publisherThe Open Journalen_US
dc.titleqgs: A flexible Python framework of reduced-order multiscale climate modelsen_US
dc.typeArticleen_US
dc.subject.frascatiEarth and related Environmental sciencesen_US
dc.audienceScientificen_US
dc.audienceEducationalen_US
dc.subject.freePythonen_US
dc.subject.freeJupyter Notebooken_US
dc.subject.freeNumbaen_US
dc.subject.freeMeteorologyen_US
dc.subject.freeClimate variabilityen_US
dc.subject.freeAtmospheric modelen_US
dc.subject.freeOcean-atmosphere modelen_US
dc.relation.projectEUMETNET PP moduleen_US
Orfeo.peerreviewedYesen_US
dc.identifier.doihttps://doi.org/10.21105/joss.02597


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