Highlights
- Pro
-
-
-
-
-
MIMOSA Public
Mathematical Integrated Model for Optimised and Stylised Assessment
-
Equity principles, mitigation and climate impacts: balancing welfare and costs
Jupyter Notebook GNU General Public License v3.0 UpdatedFeb 26, 2025 -
-
-
-
starter-gunicorn Public
Forked from cyclic-software/starter-gunicornCyclic Python gunicorn starter
Python GNU General Public License v3.0 UpdatedSep 25, 2023 -
-
-
-
Code for the figures of the paper Costs of avoiding net negative emissions, ERL, van der Wijst et al 2021
Python GNU General Public License v3.0 UpdatedJun 1, 2021 -
COACCH-Damage-functions Public
Calculates the damage function coefficients for the COACCH project
Python UpdatedApr 1, 2021 -
DamagesAndCarbonPrice Public
Calculates the path of the optimal carbon price using a basic macro-economic module and a number of existing damage functions
-
pyomo Public
Forked from Pyomo/pyomoAn object-oriented algebraic modeling language in Python for structured optimization problems.
Python Other UpdatedFeb 1, 2021 -
Hotelling Public
Calculates the optimal carbon price trajectory under various assumptions.
Jupyter Notebook UpdatedNov 23, 2020 -
Dash-scenario-analysis Public
Using Dash and Plotly perform various analyses on a database of scenario runs.
Python UpdatedJul 6, 2020 -
nfactor-decomp Public
N-factor decomposition code implementing the Sun (1998) method
Python UpdatedFeb 17, 2020 -
variancedecomposition-IAM Public
Calculates the contribution to the variance of input parameters in a simple Integrated Assessment Model
-
optimalcarbontax Public
Calculates the optimal carbon tax in a stylised climate policy setting, under various assumptions and scenarios. Uses OpenCL to calculate on the GPU.


