Generic DICE simulations: climate module
Project description
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 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
License
Copyright © 2022 International Institute for Applied Systems Analysis
Licensed under MIT
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