Figure number: 3.43 From the IPCC Working Group I Contribution to the Sixth Assessment Report: Chapter 3
Centred pattern correlations between models and observations for the annual mean climatology over the period 1980–1999. Results are shown for individual CMIP3 (cyan), CMIP5 (blue) and CMIP6 (red) models (one ensemble member from each model is used) as short lines, along with the corresponding ensemble averages (long lines). Correlations are shown between the models and the primary reference observational data set (from left to right: ERA5, GPCP-SG, CERES-EBAF, CERES-EBAF, CERES-EBAF, CERES-EBAF, JRA-55, ESACCI-SST, ERA5, ERA5, ERA5, ERA5, ERA5, ERA5, AIRS, ERA5). In addition, the correlation between the primary reference and additional observational data sets (from left to right: NCEP, GHCN, -, -, -, -, ERA5, HadISST, NCEP, NCEP, NCEP, NCEP, NCEP, NCEP, ERA5, NCEP) are shown (solid grey circles) if available. To ensure a fair comparison across a range of model resolutions, the pattern correlations are computed after regridding all datasets to a resolution of 4º in longitude and 5º in latitude.
- Bock, L.: DLR, Germany; lisa.bock@dlr.de
- Eyring, V.: DLR., Germany
- Morgenstern, O.: NIWA, New Zealand
Bock, L., Lauer, A., Schlund, M., Barreiro, M., Bellouin, N., Jones, C., Predoi, V., Meehl, G., Roberts, M., and Eyring, V.: Quantifying progress across different CMIP phases with the ESMValTool, Journal of Geophysical Research: Atmospheres, 125, e2019JD032321. https://doi.org/10.1029/2019JD032321
- ESMValTool-AR6-OriginalCode-FinalFigures: ar6_chapter_3
- ESMValCore-AR6-OriginalCode-FinalFigures: fix_cmip6_models_newcore
Recipe used:
Diagnostics used:
- recipe_ipccwg1ar6ch3_fig_3_43_YYYYMMDD_HHMMSS/plots/fig_3_43/cor_collect/patterncor.pdf
- ESMValTool environment file: IPCC_environments/ar6_newcore_lisa_conda_environment.yml
- pip file: IPCC_environments/ar6_newcore_lisa_pip_environment.txt
Machine used: Mistral