Quasi-Geostrophic Spectral model (qgs)
qgs is quasi-geostrophic atmospheric model which is integrally written in Python. The lower boundary condition can be either a surface with orography or a dynamical ocean.
Contents:
- General Information
- Model Description
- Code Description
- User guide
- References
- Examples
- Recovering the result of Reinhold and Pierrehumbert (1982)
- Recovering the result of De Cruz, Demaeyer and Vannitsem (2016)
- Atmospheric model with heat exchange - Li et al. model version (2017)
- Example of DiffEqPy usage
- Example of the tangent linear and adjoint models usage
- Recovering the result of Vannitsem, Solé-Pomies and De Cruz (2019)
- Manual setting of the basis
- Recovering the result of Hamilton et al. (2023)
Indices and tables
About
Part of the code comes from the Python MAOOAM implementation by Maxime Tondeur and Jonathan Demaeyer.
Please cite the code description article if you use (a part of) this software for a publication:
Demaeyer J., De Cruz, L. and Vannitsem, S. , (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.
Please consult the qgs code repository for updates.
qgs is licensed under the MIT license:
The MIT License (MIT)
Copyright (c) 2020-2023 qgs Developers and Contributors
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of this software and associated documentation files (the "Software"), to deal
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