qgs: A flexible Python framework of reduced-order multiscale climate models
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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
2020-12-24Publisher
The Open Journal
Metadata
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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
Type
Article
Peer-Review
Yes
Language
eng