FILE DOCUMENT This document explains the contents of data files uploaded in the repository of the Finnish Meteorological Institute, supporting the study "Incorporation of RCM-simulated spatial details into climate change projections derived from global climate models" by Kimmo Ruosteenoja and Jouni Räisänen, submitted to "Climate Dynamics". The file format of all the data files is "netcdf" (.nc). Large files are compressed using the "gzip" command. temp_change_cmip6_eur_28gcm-mean_1951-2100.nc ============================================= Temperature change relative to the period 1981-2010 under the SSP2-4.5 scenario; 28 CMIP6 GCM mean interpolated onto the 0.125 x 0.125 grid covering Europe and adjacent areas. 30 year running means. The file contains data for Figs. 1a and c and one curve in Fig. 4. Data variable: dt_kesk - temperature change Coordinate variables: lon: longitude lat: latitude z: month (z=1 - January; z=2 - February...) t: year (e.g., t=135 corresponds to the 30-year period around 2085, i.e., 2070-99) tas_change_cordex_eur_rcp45_12rcm-mean_195101-210012.nc ======================================================= Temperature change relative to the period 1981-2010 under the RCP4.5 scenario; mean of 12 EURO-CORDEX RCM runs on the 0.125 x 0.125 grid covering Europe and adjacent areas. 30 year running means. The file contains data for Figs. 1b and d and one curve in Fig. 4. Data variable: dt_kesk - temperature change Coordinate variables: lon: longitude lat: latitude z: month (z=1 - January; z=2 - February...) t: year (e.g., t=135 corresponds to the 30-year period around 2085, i.e., 2070-99) Hybrid temperature projections created with the basic method ============================================================ (A) tas_change_hybrid_basic_mult_eur_5deg_195101-210012.nc (B) tas_change_hybrid_basic_mult_eur_2p5deg_195101-210012.nc (C) tas_change_hybrid_basic_mult_eur_10deg_195101-210012.nc (D) tas_change_hybrid_basic_sum_eur_5deg_195101-210012.nc Temperature changes relative to the period 1981-2010 produced using the basic variant of the hybrid method (section 3.1) using the scaling method (1) (files A-C) and the linearised method (2) (file D). The window width is 5° in files A and D, 2.5° in file B and 10° in file C. Files A and are used in Fig. 2, all files in Fig. 4 and files C and D in Fig. S2. Data variable: dt_kesk - temperature change Coordinate variables: lon: longitude lat: latitude z: month (z=1 - January; z=2 - February...) t: year (e.g., t=135 corresponds to the 30-year period around 2085, i.e., 2070-99) precip_change_cmip6_eur_28gcm-mean_1951-2100.nc =============================================== Precipitation change relative to the period 1981-2010 under the SSP2-4.5 scenario; 28 CMIP6 GCM mean interpolated onto the 0.125 x 0.125 grid covering Europe and adjacent areas. 30 year running means. The file contains data for Figs. S5a. Data variable: dt_kesk_ssp245 - precipitation change (unit mm/s) Coordinate variables: lon: longitude lat: latitude z: month (z=1 - January; z=2 - February...) t: year (e.g., t=135 corresponds to the 30-year period around 2085, i.e., 2070-99) precip_change_hybrid_basic_sum_eur_5deg_195101-210012.nc ======================================================== Precipitation changes relative to the period 1981-2010 produced using the basic variant of the hybrid method (section 3.1) using the linearised method (2). The window width is 5°. The file is used in Fig. 8. Data variable: dt_kesk - precipitation change (unit mm/s) Coordinate variables: lon: longitude lat: latitude z: month (z=1 - January; z=2 - February...) t: year (e.g., t=135 corresponds to the 30-year period around 2085, i.e., 2070-99) Files depicting inter-model agreement on the difference ======================================================= (A) tas_hybrid_mult_more_positive_change_5deg_2085.nc (B) precip_hybrid_sum_more_positive_change_5deg_2085.nc In these files, the variable "dt_more_posit" tells the number of CORDEX RCM runs that produce a more positive GCM-RCM hybrid seasonal mean response compared to the 28-GCM mean. The minimum value of the variable is 0 and maximum 12. File A contains this information for temperature, file B for precipitation. Used in Figs. 7 and 9. Coordinate variables: lon: longitude lat: latitude z: season (z=1 - Dec-Feb; z=2 - Mar-May; z=3; Jun-Aug; z=4 - Sep-Nov) t: only one time step, corresponding to the period 2070-99 tas_change_hybrid_land_sea_resolving_mult_eur_5deg_195101-210012.nc =================================================================== Temperature changes relative to the period 1981-2010 produced using the land-sea resolving variant of the hybrid method (section 3.2). The window width is 5°. The file is used in Fig. 10. Data variable: dt_kesk - temperature change Coordinate variables: lon: longitude lat: latitude z: month (z=1 - January; z=2 - February...) t: year (e.g., t=135 corresponds to the 30-year period around 2085, i.e., 2070-99) land_area_fraction.nc ===================== Proportion of land area in grid cells (%). An average of 5 EURO-CORDEX RCMs (Table 1). Used to create Fig. S1. Data variable: sftlf - proportion of land area (in %) Coordinate variables: lon: longitude lat: latitude Figures 3, 6, 8, 11, S2c-d, S3 and S4 of the article depict difference fields of two variables. These can be produced by utilising 2 or more of the above-described files.