Results > CMIP mean state and variability > Mean Climate
Mean state results from the PCMDI Metrics Package (PMP) are used to produce “quick-look” summary diagrams for the CMIP multi-model ensemble. The focus is on the “Historical” (coupled) and “AMIP” (atmospheric only) simulations which are well-suited for comparing with observations. We update these summaries regularly as new simulations are contributed to CMIP6, quality-control and presentation are improved, and observational datasets are updated. We provide two methods to interactively explore these quick-look results, one as absolute errors and another as relative errors:
Interactive Parallel Coordinate Plot
Interactive Parallel Coordinate Plots (IPCPs) are used to dynamically visualize the mean climate statistics generated with the PMP. In an IPCP, each vertical axis represents a different scalar measure gauging some aspect of model fidelity. The results displayed in the IPCP are absolute error measures, i.e., they are not normalized as in the portrait plots (below). Under the default configuration, results from each model are displayed as symbols. To facilitate comparison of a subset of models, the user can highlight individual models by selecting a symbol on the plot or from the legend. A common application is to select two versions of the same (or different) model to enable their performance differences to be contrasted against the backdrop of results from the multi-model ensemble (symbols). The current release allows the user to display CMIP5 and CMIP6 results as for different statistics and regions.
Interactive Portrait Plot
- Interactive Portrait Plots (IPP) show results that are normalized by the median RMS error across all models (rows), as described in Gleckler et al. (2008). This normalization enables a common color scale to be used for all statistics and highlights the relative strengths and weakness of different models. With this normalization an error of -0.5 indicates a model’s error is 50% smaller than the typical (median) error across all models, whereas an error of 0.5 is an error 50% larger than the typical error in the multi-model ensemble. This diagram can be used to navigate to additional results. Hovering your mouse over a square or triangle will reveal the diagnostic plot from which the metrics were generated. . After hovering on either type of plot, the user can click to get a full sized image.
NOTE: Supported browsers are Chrome, Firefox, Safari, and Microsoft Edge. Microsoft Internet Explorer is no longer supported.
- CMIP6 historical simulations
- CMIP5 historical simulations
- CMIP6 AMIP simulations
- Additional decompositions for CMIP6 Historical
Reference Observational Datasets
Gleckler, P. J., K. E. Taylor, and C. Doutriaux, 2008: Performance metrics for model evaluation. J. Geophys. Res., 113, D06104, doi: 10.1029/2007JD008972.
Taylor, K. E., 2001: Summarizing multiple aspects of model performance in a single diagram. J. Geophys. Res., 106, 7183–7192, doi: 10.1029/2000JD900719.