Bern3D-LPX simulations with the adaptive emission reduction approach (AERA)

DOI

The files provide the model output from Bern3D-LPX forced with the Adaptive Emission Reduction Approach (AERA) that are presented in Terhaar et al. (2022). The AERA allows to develop time series of CO2 forcing equivalent emissions that allow the global warming to converge to a given temperature target. The simulations here include the standard simulations as well as the simulations with (i) variying non-CO2 radiative agent trajectories, (ii) using GWP-100 instead of CO2 forcing equivalent emissions, as well as (iii) various roubstness tests of the AERA. The simulations demonstrate that the AERA works robustly and that it can be used for policy decisions. Each simulations follows the same name structure: The file names follow this structure: AXX_YYYY_Z AXX describes the model configuration, the first number stands for diapycnal mixing (1=1e-4 m2 s-1, 2 =2e-5 m2 s-1, 3=1e-4 m2 s-1), the second for the feedback parameter lambda in Bern3D (1=0.1 W m-2 K-1, 2=-0.3 W m-2 K-1, 3=-0.7 W m-2 K-1). YYYY describes the run and the interannual variability. The first two digits are without a special meaning and just give the run numbers, the standard is ‘11’. The third number is the phasing of the superimposed inter-annual variability (1=0 years, 2=50 years, 3 = 25 years, 4=75 years) and the third says if the variability is added (0) or subtracted (1). Z is the temperature target: 1 is 1.5°C, 2 is 2.0°C and 4 is 1.75°C until 2050 and 1.5°C in 2100. For more information, please read through the associated publication and GitHub repository (https://github.com/Jete90/AERA).

Identifier
DOI https://doi.org/10.17882/90901
Metadata Access http://www.seanoe.org/oai/OAIHandler?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:seanoe.org:90901
Provenance
Creator Terhaar, Jens; Frölicher, Thomas L; Aschwanden, Mathias T; Joos, Fortunat
Publisher SEANOE
Publication Year 2022
Funding Reference info:eu-repo/grantAgreement/EC/H2020/821003/EU//4C
Rights CC-BY-NC
OpenAccess true
Contact SEANOE
Representation
Resource Type Dataset
Discipline Marine Science