The files provide the model output from Bern3D-LPX forced with the Adaptive Emission Reduction Approach (AERA) that are presented in Terhaar et al. (2023). The AERA (Terhaar et al., 2022) allows to develop time series of CO2 forcing equivalent emissions that allow the global warming to converge to a given temperature target. This dataset includes output from all scenarios presented in Terhaar et al. (2023): 'baseline', 'high-CO₂', and 'constant aerosols'.

Globally averaged time-series are provided from 1765 to 2020 and from 2021 to 2300 (for all three scenarios):

- Temperature anomaly (°C)

- CO₂ emissions (Pg C yr^-1)

- CO₂-fe emissions (Pg C yr^-1)

- Atmospheric CO₂ (ppm)

- Ocean carbon uptake (Pg C yr^-1)

- Cumulative ocean carbon uptake (Pg C)

- Surface ocean pH

- Volume of waters (10⁶ km³) with aragonite saturation states below 1, between 1 and 2, between 2 and 3, and above 3 (for the entire ocean and for the first 126 m only). 

The mean of the simulations with ECS=3.2°C and the range across all ECSs are provided for each year (as shown in the Figures in Terhaar et al. (2023)).