| Summary: | General Description Data for stabilization and overshoot simulations performed with the model GFDL-ESM2M (Dunne et al., 2012) coupled to AERA (Terhaar et al., 2022). The data are organized under following simulations: AERA3_T15_TYPE2_ENS1_zen : Coupled GFDL-ESM2M to AERA simulation for stabilization at 1.5 °C of global warming AERA3_T20OS15SL_TYPE2_ENS1_zen : Coupled GFDL-ESM2M to AERA simulation for overshoot to 2.0 °C of global warming and return to 1.5 °C. AERA3_T25OS15SL_TYPE2_ENS1: Coupled GFDL-ESM2M to AERA simulation for overshoot to 2.5 °C of global warming and return to 1.5 °C. AERA3_T30OS15SL_TYPE2_ENS1: Coupled GFDL-ESM2M to AERA simulation for overshoot to 3.0 °C of global warming and return to 1.5 °C. First the tar files need to be decompressed: tar –xvzf Overshoot_stabilization.tar.gz Methods Description The GFDL-ESM2M-AREA data was produced by running the Earth System Model GFDL ESM2M (Dunne et al., 2012; 2013) in emissions-driven configuration, coupled to the Adaptive Emission Reduction Approach (AERA; Terhaar et al. 2022). GFDL-ESM2M GFDL ESM2M consists of atmospheric, terrestrial, oceanic and sea ice components. The atmospheric component simulates processes at a dynamical 30-min time step and 3-h radiation time step on a 2 × 2.5° latitude-longitude grid using finite-volume advection. The land model LM3.0 represents hydrological, energy and carbon in vegetation, canopy and multi-layer snow and soil models. The ocean model consists of the Modular Ocean Model version 4p1, which simulates physical ocean processes at a horizontal resolution of 1° (mid-to-high latitudes) to 0.3° (tropics) resolution, with 50 vertical layers AERA The adaptive emission reduction approach (AERA) aims to quantify CO2 forcing equivalent (CO2-fe) emission reductions every five years following the stocktake mechanism implemented in the Paris Agreement (Terhaar et al. 2022.). Every five years, the AERA estimates the necessary emission reductions for a chosen temperature target only based on simulations of the past annual ...
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