Pymagicc

Pymagicc is a Python wrapper around the reduced complexity climate model MAGICC6. It wraps the CC-BY-NC-SA licensed MAGICC6 binary. Pymagicc itself is AGPL licensed.

MAGICC (Model for the Assessment of Greenhouse Gas Induced Climate Change) is widely used in the assessment of future emissions pathways in climate policy analyses, e.g. in the Fifth Assessment Report of the Intergovernmental Panel on Climate Change or to model the physical aspects of climate change in Integrated Assessment Models (IAMs).

Pymagicc makes the MAGICC model easily installable and usable from Python and allows for the easy modification of all MAGICC model parameters and emissions scenarios directly from Python. In climate research it can, for example, be used in the analysis of mitigation scenarios, in Integrated Assessment Models, complex climate model emulation, and uncertainty analyses, as well as in climate science education and communication.

See www.magicc.org and Meinshausen et al. 2011 for further information.

_images/example-plot.png

License

The compiled MAGICC binary by Tom Wigley, Sarah Raper, and Malte Meinshausen included in this package is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.

See also the MAGICC website and Wiki for further information.

The pymagicc wrapper itself is released under a BSD-3 license. For details, see LICENSE.

Citation

If you make any use of MAGICC, its license requires citing of:

M. Meinshausen, S. C. B. Raper and T. M. L. Wigley (2011). “Emulating coupled atmosphere-ocean and carbon cycle models with a simpler model, MAGICC6: Part I “Model Description and Calibration.” Atmospheric Chemistry and Physics 11: 1417-1456. https://doi.org/10.5194/acp-11-1417-2011

If you use Pymagicc in your research, please additionally cite

R. Gieseke, S. N. Willner and M. Mengel, (2018). Pymagicc: A Python wrapper for the simple climate model MAGICC. Journal of Open Source Software, 3(22), 516, https://doi.org/10.21105/joss.00516

For proper reproducibility please reference the version of Pymagicc used. In Python it can be printed with

import pymagicc
print(pymagicc.__version__)

Pymagicc releases are archived at Zenodo and the version used should also be cited. See https://doi.org/10.5281/zenodo.1111815.