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. 2021 Apr 20;6:664–677. doi: 10.1016/j.idm.2021.04.002

Table A.1.

The ten simulations used in this study from Regional Climate Models (RCMs) driven by different Coupled Global Climate Models (GCMs). The simulations use the two Representative Concentration Pathways (RCP4.5 and RCP8.5). This South American climate data was obtained from the CORDEX-SAM44 database (CORDEX-SAM44, n.d.). All RCMs use a grid at around 0.44° of horizontal resolution.

Regional Climate Model Driven conditions from Coupled Global Climate Model (CGCM) Institution for CGCMs
RCA4-v3 from the Rossby Centre regional atmospheric model (RCA4; Strandberg et al., 2014) CSIRO-QCCCE-CSIRO-Mk3-6-0 The Commonwealth Scientific and Industrial Research Organisation (CSIRO, Australia) and Queensland Climate Change Centre of Excellence (QCCCE), Australia
CCCma-CanESM2 Canadian Centre for Climate Modelling and Analysis (CCCma), Canada
IPSL-IPSL-CM5A-MR Institut de recherche en sciences de l’environnement (IPSL), France
NCC-NorESM1-M Norwegian Climate Centre (NCC), Norway
ICHEC-EC-EARTH Irish Centre for High-End Computing (ICHEC), Ireland
MPI-M-MPI-ESM-LR Max Planck Institut für Meteorologie (MPI), Germany
NOAA-GFDL-GFDL-ESM2M National Oceanic and Atmospheric Administration (NOAA), United States of America
MIROC-MIROC5 Model for Interdisciplinary Research on Climate (MIROC), Japan
MOHC-HadGEM2-ES Met Office Hadley Centre (MOHC), United Kingdom
REMO2009 from the Climate
Service Centre Germany (GERICS);
Jacob et al. (2012)
MPI-M-MPI-ESM-LR MPI, Germany