From: Predicting future global temperature and greenhouse gas emissions via LSTM model
Model | Prediction at 2100 | Methods/Software | Reference | |
---|---|---|---|---|
Temp rise (oC) | CO2 level (ppm) | |||
Geophysical Fluid Dynamics Laboratory (GFDL) | 3.3 | 671 | Python | Delworth et al., 2006) |
Max Planck Institute for Meteorology(MPI-M) | 3 | 704 | OASIS CYLC (Python-based) | Baehr et al., 2015) |
Hadley Centre | 3.7 | 690 | Hadley Centre special software | Pope et al., 2007) |
National Center for Atmospheric Research Parallel Climate Model (NCAR PCM) | 2.3 | 708 | EOL public software packages | Washington et al., 2000) |
National Center for Atmospheric Research Climate System Mode (NCAR CSM) | 2.2 | 711 | EOL public software packages | Boville et al., 2001) |
Canadian Centre for Climate Modelling and Analysis (CCCma) | 4 | 710 | ArcGIS 10.5 FClimDex (R-based) | Salzen et al., 2013) |
Australia’s Commonwealth Scientific and Industrial Research Organization (CSIRO) | 3.8 | 712 | CSIRO special software | Gordon, et al., 2002) |
Center for Climate Research Studies (CCSR) National Institute for Environmental Studies (NIES) (CCSR/NIES) | 4.7 | 713 | Statgraphics 19 | Dairaku et al., 2003) |