From c4410d353c95668798605b6e875a2f755b1612cd Mon Sep 17 00:00:00 2001
From: Michael Langguth <m.langguth@fz-juelich.de>
Date: Fri, 18 Sep 2020 06:23:31 +0000
Subject: [PATCH] Minor correction to README.md

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 5edd7fe1..9b17f201 100644
--- a/README.md
+++ b/README.md
@@ -23,14 +23,14 @@ The following commands will setup a user-specific virtual environment
 either on Juwels, HDF-ML (HPC clusters) or on zam347 for you.
 The script `create_env.sh` automatically detects on which machine it is executed and loads/installs
 all required Python (binary) modules and packages.
-The virtual environment is set up under the subfolder `video_prediction_savp/<dir_name>`.
+The virtual environment is set up under the subfolder `video_prediction_savp/<env_name>`.
 Besides, user-specific runscripts for each step of the workflow may be created,
 e.g. `train_era5_exp1.sh` where `exp1` denotes the default experiment identifier.
 The name of this identifier can be controlled by the optional second argument `<exp_id>`.
 
 ```bash
 cd video_prediction_savp/env_setup
-source create_env.sh <dir_name> <env_name>
+source create_env.sh <env_name> [<exp_id>]
 ```
 
 ### Run workflow the workflow
-- 
GitLab