Articles | Volume 16, issue 16
https://doi.org/10.5194/gmd-16-4853-2023
https://doi.org/10.5194/gmd-16-4853-2023
Model experiment description paper
 | 
28 Aug 2023
Model experiment description paper |  | 28 Aug 2023

ModE-Sim – a medium-sized atmospheric general circulation model (AGCM) ensemble to study climate variability during the modern era (1420 to 2009)

Ralf Hand, Eric Samakinwa, Laura Lipfert, and Stefan Brönnimann

Data sets

ModE-Sim - A medium size AGCM ensemble to study climate variability during the modern era (1420 to 2009): Set 1420-1 Ralf Hand, Stefan Brönnimann, Eric Samakinwa, and Laura Lipfert https://doi.org/10.26050/WDCC/ModE-Sim_s14201

ModE-Sim - A medium size AGCM ensemble to study climate variability during the modern era (1420 to 2009): Set 1420-2 Ralf Hand, Stefan Brönnimann, Eric Samakinwa, and Laura Lipfert https://doi.org/10.26050/WDCC/ModE-Sim_s14202

ModE-Sim - A medium size AGCM ensemble to study climate variability during the modern era (1420 to 2009): Set 1420-3 Ralf Hand, Stefan Brönnimann, Eric Samakinwa, and Laura Lipfert https://doi.org/10.26050/WDCC/ModE-Sim_s14203

ModE-Sim - A medium size AGCM ensemble to study climate variability during the modern era (1420 to 2009): Set 1850-1 Ralf Hand, Stefan Brönnimann, Eric Samakinwa, and Laura Lipfert https://doi.org/10.26050/WDCC/ModE-Sim_s18501

ModE-Sim - A medium size AGCM ensemble to study climate variability during the modern era (1420 to 2009): Set 1850-2 Ralf Hand, Stefan Brönnimann, Eric Samakinwa, and Laura Lipfert https://doi.org/10.26050/WDCC/ModE-Sim_s18502

Model code and software

shamakson/ModE-Sim-RA_volc_forcing: Genera- tion of perturbed volcanic forcing using EVA Eric Samakinwa https://doi.org/10.5281/zenodo.7669569

Download
Short summary
ModE-Sim is an ensemble of simulations with an atmosphere model. It uses observed sea surface temperatures, sea ice conditions, and volcanic aerosols for 1420 to 2009 as model input while accounting for uncertainties in these conditions. This generates several representations of the possible climate given these preconditions. Such a setup can be useful to understand the mechanisms that contribute to climate variability. This paper describes the setup of ModE-Sim and evaluates its performance.