Fig. 4: Analysis of 25 CMIP6 models shows that advancements in physical science processes, critical parameterizations for runoff, and finer resolution improve runoff projections. | npj Climate and Atmospheric Science

Fig. 4: Analysis of 25 CMIP6 models shows that advancements in physical science processes, critical parameterizations for runoff, and finer resolution improve runoff projections.

From: Finer resolutions and targeted process representations in earth system models improve hydrologic projections and hydroclimate impacts

Fig. 4

A The bar chart shows the count of processes (sky blue) and participiation in key MIPs (violet) included in each CMIP6 model. Models are categorized by their spatial resolution, represented by colored dots-blue for 100 km, green for 250 km, and orange for 500 km resolution. The chart highlights that leading models typically incorporate a greater number of processes, participation in key MIPs, and finer spatial resolutions. B The scatter plot highlights model differences in process representation, parameterization strategies, and spatial resolution. Leading models are distinguished by their participation in CMIP6-endorsed MIPs focused on cloud feedback (CFMIP), land use (LUMIP), and land surface snow and soil moisture (LS3MIP), which promoted improvements in relevant physical parameterizations. A star preceding a model’s name denotes its presence in both the CMIP6 and CMIP5 phases. Models are arranged from highest-performing (left) to lowest-performing (right).

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