Updated README.md

README.md

@@ -9,15 +9,15 @@ It is basically a smart combination of quantile-mapping (or any usual bias-corre
 ### Table1
 Implementation and content of the Table 1 example from the paper. Note the comments in the script.
 
-### GCM-RCM (e.g., MPI-CCLM)
+### GCM_RCM (e.g., MPI_CCLM)
 Example scripts to post-process one of the bias-corrected **RCP8.5** RCM data sets from KSS/NVE used in Klima i Norge 2100.
 (MET Norway specific file locations need to be changed)
 
 1. The data is split into files containing one day of the year each (prepare.sh).
 2. The 3DBC script is applied to reorder the dates following the reference data (seNorge_2018) lag-1 autocorrelation (seperately for pr and tas).
 3. The data is remerged (remerge_data.sh) to the previous file structure.
 
-### RCP45/GCM-RCM
+### RCP45/GCM_RCM
 Same for emission scenario **RCP4.5**
 
 ### 3DBC output