diff --git a/docs/notebooks/usage.ipynb b/docs/notebooks/usage.ipynb
index 02c8ab5c7..343aebcfc 100644
--- a/docs/notebooks/usage.ipynb
+++ b/docs/notebooks/usage.ipynb
@@ -172,7 +172,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Xclim also allows to call indicators using datasets and variable names."
+    "Some indicators also expose time-selection arguments as `**indexer` keywords. This allows to run the indice on a subset of the time coordinates, for example only on a specific season, month, or between two dates in every year. It relies on the [select_time](../indices.rst#xclim.indices.generic.select_time) function. Some indicators will simply select the time period and run the calculations, while others will smartly perform the selection at the right time, when the order of operation makes a difference. All will pass the `indexer` kwargs to the missing value handling ensuring that the missing values _outside_ the valid time period are **not** considered.\n",
+    "\n",
+    "The next example computes the annual sum of growing degree days over 10 °C, but only considering days from the 1st of April to the 30th of September."
    ]
   },
   {
@@ -183,23 +185,16 @@
    "source": [
     "with xclim.set_options(cf_compliance=\"log\"):\n",
     "    gdd = xclim.atmos.growing_degree_days(\n",
-    "        tas=\"air\", thresh=\"10.0 degC\", freq=\"MS\", ds=daily_ds\n",
+    "        tas=daily_ds.air, thresh=\"10 degC\", freq=\"YS\", date_bounds=(\"04-01\", \"09-30\")\n",
     "    )\n",
-    "\n",
-    "    # variable names default to xclim names, so we can even do this:\n",
-    "    renamed_daily_ds = daily_ds.rename(air=\"tas\")\n",
-    "    gdd = xclim.atmos.growing_degree_days(\n",
-    "        thresh=\"10.0 degC\", freq=\"MS\", ds=renamed_daily_ds\n",
-    "    )"
+    "gdd"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Finally, some indicators also expose time-selection arguments as `**indexer` keywords. This allows to run the indice on a subset of the time coordinates, for example only on a specific season, month, or between two dates in every year. It relies on the [select_time](../indices.rst#xclim.indices.generic.select_time) function. Some indicators will simply select the time period and run the calculations, while others will smartly perform the selection at the right time, when the order of operation makes a difference. All will pass the `indexer` kwargs to the missing value handling ensuring that the missing values _outside_ the valid time period are **not** considered.\n",
-    "\n",
-    "The next example computes the annual sum of growing degree days over 10 °C, but only considering days from the 1st of April to the 30th of September."
+    "Finally, xclim also allows to call indicators using datasets and variable names."
    ]
   },
   {
@@ -210,9 +205,14 @@
    "source": [
     "with xclim.set_options(cf_compliance=\"log\"):\n",
     "    gdd = xclim.atmos.growing_degree_days(\n",
-    "        tas=daily_ds.air, thresh=\"10 degC\", freq=\"YS\", date_bounds=(\"04-01\", \"09-30\")\n",
+    "        tas=\"air\", thresh=\"10.0 degC\", freq=\"MS\", ds=daily_ds\n",
     "    )\n",
-    "gdd"
+    "\n",
+    "    # variable names default to xclim names, so we can even do this:\n",
+    "    renamed_daily_ds = daily_ds.rename(air=\"tas\")\n",
+    "    gdd = xclim.atmos.growing_degree_days(\n",
+    "        thresh=\"10.0 degC\", freq=\"MS\", ds=renamed_daily_ds\n",
+    "    )"
    ]
   },
   {
@@ -303,7 +303,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.6"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,