dice-climate-simulator 0.1.0

Generic DICE simulations: climate module

climate-module

Simulation routines for generic DICE model: climate module

The generic DICE climate module includes:

• python implementation of climate module from Hansel et al. (2020)
• dynamic non-CO2 radiative forcings per SSP scenario

Simulation routines include:

• temperature pathways for given SSP(x) net CO2 emissions (FFI & AFOLU)
• concentration pathways for given SSP(x) net CO2 emissions (FFI & AFOLU)

Install

$ pip install -i https://pypi.org/simple/ dice-climate-simulator

Usage

Usage: dice-climate-simulator -e <emissions> -r <ratio> -f <folder>

Options:
-e, --emissions SSP         SSP scenario
-r, --ratio Z               Non-CO2 to CO2 forcings ratio estimate Z
-f, --folder PATH           PATH to folder with SSP(x) net CO2 emissions pathways
-h, --help                  Print command help

Simulation examples

• generate climate pathways for CO2 emissions in SSP2 scenario

dice-climate-simulator -e SSP2 -r avg -f net-emissions-folder

results saved to climate/scenario SSP2/temperature change (other_rf avg).csv and climate/scenario SSP2/concentration (other_rf avg).csv

• generate climate pathways for emissions pathway from Hansel et al. (2020)

dice-climate-simulator -e hansel2020

results saved to climate/hansel2020/temperature change (other_rf avg).csv and climate/scenario hansel2020/concentration (other_rf avg).csv

References

[1] Hansel, M., Drupp, M., Johansson, D., Nesje, F., Azar, C., Freeman, M., Groom, B., & Sterner, T. (2020). Climate Economics Support for the UN Climate Targets. Nature Climate Change, 10: 781-789.
https://doi.org/10.1038/s41558-020-0833-x

Documentation

• API docs

License

Copyright © 2022 International Institute for Applied Systems Analysis

Licensed under MIT