Global mean temperatures can be
analysed or
downloaded separately.
The data for individual models are provided at their native resolution. They have been remapped to a regular 192x144 longitude/latitude grid to create the
multi-model datasets provided at the top of the table below. These multi-model data have been constructed as follows:
- CMIP6 mean (one member per model): Mean over the 1st member of all models.
- CMIP6 mean: Mean of the ensemble means. For each model, we first compute the mean over its ensemble (ensemble mean). Then we compute the mean over all ensemble means.
- CMIP6 mean over all members: We take all members of all models, then calculate the mean. Note that if all the models had the same number of members, then "CMIP6 mean" would be equal to "CMIP6 mean over all members".
- KNMI 2023 Wet models: Ensemble mean of the WET models from the KNMI23 standard set. One member per model. The models have been categorized as 'dry' or 'wet' on the basis of the change of precipitation in the catchments of Rhine and Meuse.
- KNMI 2023 Dry models: Ensemble mean of the DRY models from the KNMI23 standard set. One member per model.
The individual members of each of the first three CMIP6 means are accessible through these table entries:
- one member per model: members of "CMIP6 mean (one member per model)"
- all models: ensemble mean of each model
- all members: all members available
