A very simple multiple linear regression model of the Earth's climate in Python.
- CO2 concentration in the atmosphere in PPM
- CH4 concentration in the atmosphere in PPB
- SO2 emissions per year in million tonnes
- Aerosols in the atmosphere
- Solar irradiance
- Average global temperature anomaly
- CO2: https://ourworldindata.org/atmospheric-concentrations
- CH4: https://ourworldindata.org/atmospheric-concentrations
- SO2: https://ourworldindata.org/air-pollution-does-it-get-worse-before-it-gets-better
- Aerosols: https://data.giss.nasa.gov/modelforce/strataer/
- Solar irradiance: https://lasp.colorado.edu/lisird/data/historical_tsi/
- Temperature Dataset 1: https://ourworldindata.org/grapher/temperature-anomaly
- Temperature Dataset 2: https://data.giss.nasa.gov/gistemp/graphs_v4/
- Temperature Dataset 3: https://www.ncdc.noaa.gov/cag/global/time-series/globe/land_ocean/ann/1/1880-2021
- Pre-industrial level of CO2: 280 PPM
- Pre-industrial level of Methane: 700 PPB
- GWP of CHP: 25