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

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    Published (164.0Kb)
    Authors
    Demaeyer, Jonathan
    De Cruz, Lesley
    Vannitsem, Stéphane
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    Discipline
    Earth and related Environmental sciences
    Subject
    Python
    Jupyter Notebook
    Numba
    Meteorology
    Climate variability
    Atmospheric model
    Ocean-atmosphere model
    Audience
    Scientific
    Educational
    Date
    2020-12-24
    Publisher
    The Open Journal
    Metadata
    Show full item record
    Description
    qgs 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 field
    Citation
    Demaeyer 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.02597
    Identifiers
    uri: https://orfeo.belnet.be/handle/internal/9792
    doi: https://doi.org/10.21105/joss.02597
    Type
    Article
    Peer-Review
    Yes
    Language
    eng
    Links
    NewsHelpdeskBELSPO OA Policy

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