home.md

 ## Introduction
 
-Auto-S2S is the GitLab repository for the ESS Verification Suite, a modular tool for subseasonal to seasonal to decadal forecast verification workflows. It is intended to have a modularized structure, where each module is a separate part of the code that performs a specific task, so that parts of the workflow can be skipped or reordered.
+SUNSET is a modular tool for subseasonal to seasonal to decadal forecast verification workflows. It is intended to have a modularized structure, where each module is a separate part of the code that performs a specific task, so that parts of the workflow can be skipped or reordered.
  
 The datasets, forecast horizon, time period, skill metrics to compute and other parameters are specified by the user in a configuration file, called "recipe".
 
-After definining the recipe, the user can create a script using the functions available in the tool, which use apply the information in the recipe to do the desired computations. You an example script [in the Auto-S2S code Snippets](https://earth.bsc.es/gitlab/es/auto-s2s/-/snippets/111).
+After definining the recipe, the user can create a script using the functions available in the tool, which use apply the information in the recipe to do the desired computations. You an example script [in the SUNSET code Snippets](https://earth.bsc.es/gitlab/es/sunset/-/snippets/111).
 
 - Modules currently available: Loading, Calibration, Anomalies, Skill, Saving, Visualization
 - Modules in development: Downscaling, Scorecards
@@ -76,13 +76,13 @@ Analysis:
 Run:
   Loglevel: INFO # Optional, str: 'DEBUG', 'INFO', 'WARN', 'ERROR' or 'FATAL'. Default 'INFO'.
   Terminal: TRUE # Optional, bool: Whether to display log messages in the terminal. Default 'TRUE'.
-  output_dir: /esarchive/scratch/vagudets/repos/auto-s2s/out-logs/ # Mandatory, str: output directory
-  code_dir: /esarchive/scratch/vagudets/repos/auto-s2s/
+  output_dir: /esarchive/scratch/vagudets/repos/sunset/out-logs/ # Mandatory, str: output directory
+  code_dir: /esarchive/scratch/vagudets/repos/sunset/
 ```
 
 ## List of /esarchive/ datasets
 
-Here is a list of the datasets that can currently be loaded by the tool. To request that an additional dataset be added, please [open an issue](https://earth.bsc.es/gitlab/es/auto-s2s/-/issues).
+Here is a list of the datasets that can currently be loaded by the tool. To request that an additional dataset be added, please [open an issue](https://earth.bsc.es/gitlab/es/sunset/-/issues).
 
 ### Seasonal datasets
 
@@ -138,14 +138,14 @@ Observations:
 
 ## The first steps
 
-In order to run the ESS Verification Suite, you need to load the necessary modules. To do this, you can run the command `source MODULES` in the terminal, from the main folder of the Auto-S2S repository.
+In order to run the ESS Verification Suite, you need to load the necessary modules. To do this, you can run the command `source MODULES` in the terminal, from the main folder of the SUNSET repository.
 
-Before calling the modules in your script or in the R console, you should run the `prepare_outputs()` function as shown in the [example script](https://earth.bsc.es/gitlab/es/auto-s2s/-/snippets/96), which will read your recipe and set up the directory for your outputs.
+Before calling the modules in your script or in the R console, you should run the `prepare_outputs()` function as shown in the [example script](https://earth.bsc.es/gitlab/es/sunset/-/snippets/96), which will read your recipe and set up the directory for your outputs.
 `prepare_outputs()` will perform a check on your recipe to detect potential errors. If you want to disable this check, you may set the argument `disable_checks = TRUE` when calling the function.
 
 If you had a recipe named recipe-wiki.yml that looked like the example in this wiki, this directory might look something like this:
 
-`/esarchive/scratch/vagudets/repos/auto-s2s/out-logs/recipe-wiki_20221025164151`
+`/esarchive/scratch/vagudets/repos/sunset/out-logs/recipe-wiki_20221025164151`
 
 Inside you will find a log file, a copy of your recipe, and your outputs from the Saving and Visualization modules.
 
@@ -278,7 +278,7 @@ If fcst_year is empty:
 
 For example, in our example recipe, the final output directory will be:
 
-`/esarchive/scratch/vagudets/repos/auto-s2s/out-logs/recipe-wiki_20221025164151/outputs/mse_min-monthly_mean/20201101/tas/`
+`/esarchive/scratch/vagudets/repos/sunset/out-logs/recipe-wiki_20221025164151/outputs/mse_min-monthly_mean/20201101/tas/`
 
 The structure of the names of the files is:
 - Skill metrics: `<var>-skill_month<mm>.nc`