The IPCC AR6 Interactive Atlas (see also the IPCC Atlas chapter) displays future climate change projections for 22 atmospheric and oceanic variables and indices building on a harmonized gridded monthly climate projection dataset computed from global (CMIP5/6) and regional (CORDEX) experiments. The particular ensembles used are described in the IPCC AR6 Atlas Supplementary Material and do not correspond exactly with the CMIP6, CMIP5 and CORDEX datasets available from the CDS. Note that in the case of CORDEX there are only a few differences corresponding to a few CDS simulation updates, since the original CDS dataset was used for the preparation of the IPCC Interactive Atlas (see Diez-Sierra et al. 2022). In the case of CMIP5/6, differences correspond to missing  or additional models and different versions/replicas; note that the CMIP5 dataset corresponds to the frozen version used in AR5 (including no subsequent versions/updates) whereas the CMIP6 dataset corresponds to the versions published before the 31 January 2021 IPCC AR6 cut-off deadline.

The Figures 1-3 below show the particular GCMs (or the GCM-RCM combinations in the case of CORDEX) in rows and their scenario availability (in colours) for the different variables and indices (in columns, with codes described in Table 1) included in the dataset.

CMIP6

Figure 1.  CMIP6 GCMs (in rows) and their scenario availability (in colours) for the different variables and indices (in columns, with codes described in Table 1).

CMIP5

Figure 2  CMIP5 GCMs (in rows) and their scenario availability (in colours) for the different variables and indices (in columns, with codes described in Table 1).

CORDEX

Figure 3. CORDEX GCM-RCM simulations (in rows) and their scenario availability (represented by colours) for the different variables and indices (in columns, with codes described in Table 1). The simulations for each CORDEX domain are separated in blocks as indicated with the label in the right margin (the domain definitions are available at CORDEX: Regional climate projections).

Table 1: Codes used in Figures 1-3 for the variables and indices included in the dataset.

VARIABLES/INDICES (see the dataset overview)

CODE

Monthly mean of daily mean temperature

t

Monthly mean of daily minimum temperature

tn

Monthly mean of daily maximum temperature

tx

Monthly minimum of daily minimum temperature

tnn

Monthly maximum of daily maximum temperature

txx

Monthly count of days with maximum temperature above 35 °C

tx35

Bias adjusted monthly count of days with maximum temperature above 35 °C

tx35ba

Monthly count of days with maximum temperature above 40 °C

tx40

Bias adjusted monthly count of days with maximum temperature above 40 °C

tx40ba

Monthly count of frost days

fd

Heating degree-days

hd

Cooling degree-days

cd

Monthly mean of daily accumulated precipitation

pr

Monthly mean of daily accumulated snowfall precipitation

prsn

Monthly maximum of 1-day accumulated precipitation

rx1day

Monthly maximum of 5-day accumulated precipitation

rx5day

Annual consecutive dry days

cdd

Standardized precipitation index for 6 months cumulation period

spi6

Monthly mean of daily mean wind speed

sfcwind

Monthly mean of sea surface temperature

sst

Monthly mean of acidity (pH) of seawater

ph

Monthly mean of sea-ice area percentage

siconc

This document has been produced in the context of the Copernicus Climate Change Service (C3S).

The activities leading to these results have been contracted by the European Centre for Medium-Range Weather Forecasts, operator of C3S on behalf of the European Union (Delegation Agreement signed on 11/11/2014 and Contribution Agreement signed on 22/07/2021). All information in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular purpose.

The users thereof use the information at their sole risk and liability. For the avoidance of all doubt , the European Commission and the European Centre for Medium - Range Weather Forecasts have no liability in respect of this document, which is merely representing the author's view.