diff --git a/docs/source/notebooks/tutorial2.ipynb b/docs/source/notebooks/tutorial2.ipynb
index 56751a09aa6fcc22d1ed60d163753d1051e6493f..e10f786f2245c7334dbb6c081cf26a35d57dbb18 100644
--- a/docs/source/notebooks/tutorial2.ipynb
+++ b/docs/source/notebooks/tutorial2.ipynb
@@ -24,11 +24,11 @@
     "\n",
     "It is necessary to set the path to the prepared WRF input soundings in `config/cfg.py` like this\n",
     "```python\n",
-    "exp.input_profile = '/user/test/data/initial_profiles/wrf/ens/raso.fc.<iens>.wrfprof'\n",
+    "exp.input_profile = '/users/students/lehre/advDA_s2023/data/initial_profiles/raso.fc.<iens>.wrfprof'\n",
     "```\n",
     "where `<iens>` is a placeholder, since there is one file for each member, from `raso.fc.001.wrfprof` to `raso.fc.040.wrfprof`.\n",
     "\n",
-    "Then, we set up the workflows as usual and prepare the input profiles using `prepare_WRFrundir`.\n",
+    "Then, we set up the workflows as usual and prepare the input profiles.\n",
     "```python\n",
     "import datetime as dt\n",
     "from dartwrf.workflows import WorkFlows\n",
@@ -78,13 +78,13 @@
     "\n",
     "1. Prepare initial conditions from a prior forecast:\n",
     "```python\n",
-    "id = w.prepare_IC_from_prior(prior_path_exp, prior_init_time, prior_valid_time, depends_on=id)\n",
+    "w.prepare_IC_from_prior(prior_path_exp, prior_init_time, prior_valid_time)\n",
     "```\n",
     "\n",
     "\n",
     "2. Update the initial conditions from data assimilation:\n",
     "```python\n",
-    "id = w.update_IC_from_DA(time, depends_on=id)\n",
+    "w.update_IC_from_DA(time)\n",
     "```\n",
     "\n",
     "After this, the wrfrst files are updated with assimilation increments from DART output and copied to the WRF's run directories so you can continue to run the forecast ensemble.\n",
@@ -107,7 +107,7 @@
     "timedelta_btw_assim = dt.timedelta(minutes=15)\n",
     "output_restart_interval = timedelta_btw_assim.total_seconds()/60\n",
     "\n",
-    "id = w.run_ENS(begin=time,  # start integration from here\n",
+    "w.run_ENS(begin=time,  # start integration from here\n",
     "               end=time + timedelta_integrate,  # integrate until here\n",
     "               output_restart_interval=output_restart_interval\n",
     "               )\n",