Update README.md

README.md

 # S2S AI Challenge Template
 
 This is a template repository with running examples how to join and contribute to
-the s2s-ai-challenge.
+the `s2s-ai-challenge`.
 
 You were likely referred here from the [public website](https://s2s-ai-challenge.github.io/).
 
+The competition starts in June, so examples are still work in progress
+and joining the competition not possible until then.
+
 Find an overview of [repositories and websites](https://renkulab.io/gitlab/aaron.spring/s2s-ai-challenge/-/wikis/Flow-of-information:-Where-do-I-find-what%3F)
 
 ## Introduction
@@ -23,7 +26,11 @@ Fork this template renku project from https://renkulab.io/projects/aaron.spring/
 
 <img src="docs/screenshots/fork_renku.png" width="300">
 
-### 2. Make the project private
+Name your fork `s2s-ai-challenge-$TEAMNAME`.
+
+### 2. Fill our [registration form](https://docs.google.com/forms/d/1KEnATjaLOtV-o4N8PLinPXYnpba7egKsCCH_efriCb4).
+
+### 3. Make the project private
 
 Now check out the gitlab repository by clicking on "View in gitlab".
 Under "Settings" - "General" - "Visibility" you can set your project private.
@@ -32,10 +39,10 @@ Under "Settings" - "General" - "Visibility" you can set your project private.
 
 Now other people cannot steal your idea/code.
 
-### 3. Add the `scorer` user to your repo with Reporter permissions
+### 4. Add the `scorer` user to your repo with Reporter permissions
 The scorer is not yet ready, but will follow this [verification notebook](https://renkulab.io/gitlab/aaron.spring/s2s-ai-competition-bootstrap/-/blob/master/notebooks/verification_RPSS.ipynb).
 
-### 4. Add a gitlab variable with key `COMPETITION` and name `S2S-AI`
+### 5. Add a gitlab variable with key `COMPETITION` and name `S2S-AI`
 In the gitlab repository, under "Settings" -> "CI/CD" -> "Variables", add the
 `COMPETITION` key with value `S2S-AI`, so the `scorer` bot knows where to search
 for submissions.
@@ -45,7 +52,7 @@ for submissions.
 
 ## Contribute
 
-### 5. Start jupyter
+### 6. Start jupyter
 The simplest way to contribute is right from the Renku platform - 
 just click on the `Environments` tab in your renku project and start a new session.
 This will start an interactive environment right in your browser.
@@ -58,15 +65,15 @@ To work with the project anywhere outside the Renku platform,
 click the `Settings` tab where you will find the
 git repo URLs - use `git` to clone the project on whichever machine you want.
 
-### 6. Train your Machine Learning model
-using training data from https://github.com/ecmwf-lab/climetlab-s2s-ai-challenge or renku datasets
+### 7. Train your Machine Learning model
+using training data via [climetlab](https://github.com/ecmwf-lab/climetlab-s2s-ai-challenge) or renku datasets
 
-### 7. Let the Machine Learning model perform subseasonal 2020 predictions
+### 8. Let the Machine Learning model perform subseasonal 2020 predictions
 and save them as `netcdf` files.
 The submissions have to placed in the `submissions` folder with filename `submission_your_choice.nc`,
 see [example](https://renkulab.io/gitlab/aaron.spring/s2s-ai-competition-bootstrap/-/blob/master/submissions/submission_rb_prediction_2020.nc).
 
-### 8. `git commit` training pipeline and netcdf submission
+### 9. `git commit` training pipeline and netcdf submission
 For later verification of the organizers, reproducibility and scoring of submissions,
 the training notebook/pipeline and submission file ML_prediction.nc with `git lfs`.
 After commiting, `git tag submission-method_name-number`
@@ -78,7 +85,7 @@ git tag "submission-my_method-0.0.1" # if this is to be checked by scorer
 git push --tags
 ```
 
-### 9. RPSS scoring by `scorer` bot
+### 10. RPSS scoring by `scorer` bot
 The `scorer` will fetch your tagged submissions, score them with RPSS against recalibrated ECMWF real-time forecasts.
 Your score will be added to the leaderboard at https://s2s-ai-challenge.github.io/#leaderboard