Additional file 1 of Comparison of regional characteristics of land precipitation climatology projected by an MRI-AGCM multi-cumulus scheme and multi-SST ensemble with CMIP5 multi-model ensemble projections

Additional file 1: Table S1. CMIP5 models used in this study. (Retrieved from https://cmip.llnl.gov/cmip5/availability.html on May 23, 2019). Figure S1. As in Fig. 4 but for (a) JJA mean precipitation and (b) DJF mean precipitation. Figure S2. As in Fig. 5 but for (a) JJA mean precipitation and (b) DJF mean precipitation (%). Figure S3. As in Fig. 6 but for the AMIP-type simulations instead of the CMIP5 simulations. Black number corresponds to the number in the list of models at the bottom. Gray number denotes the rank in Fig. 6 only for the model of which the name coincides with that in Table S1. Figure S4. As in Fig. 7 but for JJA mean precipitation (% K–1). White in (a–d) and hatching in (e–j) indicate the grid cells where the models simulate no precipitation in the present-day climate. Figure S5. As in Fig. 7 but for DJF mean precipitation (% K–1). White in (a–d) and hatching in (e–j) indicate the grid cells where the models simulate no precipitation in the present-day climate. Figure S6. As in Fig. 8 but for (a) JJA mean precipitation and (b) DJF mean precipitation. Hatching indicates the grid cells where the models simulate no precipitation in the present-day climate. Figure S7. As in Fig. 9 but for (a) JJA mean precipitation and (b) DJF mean precipitation (% K–1). Figure S8. Future change anomaly for each of 12 HF ensemble members from their mean. (a) Future change of geopotential height at 500 hPa and (b) that of sea level pressure. Members on each row are the member with the same SST-change pattern for the future climate simulation. Members on each column are the member with the same cumulus convection scheme. The anomaly is normalized by the annual variation of individual variables in the present-day climate. Crosshatching (Hatching) indicates the 99% (90%) confidence level. Figure S9. Standard deviation in future changes of sea level pressure using three clusters of the CMIP5 AOGCMs and all of them, which were created to obtain future change patterns of sea surface temperature and sea ice for the MRI-AGCM3.2 simulations by Mizuta et al. (2014). The deviation is normalized by the annual variation in the present-day climate averaged over the CMIP5 models in each cluster. (see text for details).