final edits to cloud tutorial

doc/source/example_notebooks/IS2_cloud_data_access.ipynb

@@ -162,7 +162,7 @@
     "user_expressions": []
    },
    "source": [
-    "From any of these methods we can see that `h_li` is a variable for this data product, so we will read that variable in the next step."
+    "From any of these methods we can see that `h_ph` is a variable for this data product, so we will read that variable in the next step."
    ]
   },
   {
@@ -187,7 +187,7 @@
     "\n",
     "Notice that accessing cloud data requires two layers of authentication: 1) authenticating with your Earthdata Login 2) authenticating for cloud access. These both happen behind the scenes, without the need for users to provide any explicit commands.\n",
     "\n",
-    "Icepyx uses earthaccess to generate your s3 data access token, which will be valid for *one* hour. The earthaccess module will also renew the token for you after an hour, but if viewing your token over the course of several hours you may notice the values will change.\n",
+    "Icepyx uses earthaccess to generate your s3 data access token, which will be valid for *one* hour. Icepyx will also renew the token for you after an hour, so if viewing your token over the course of several hours you may notice the values will change.\n",
     "\n",
     "If you do want to see your s3 credentials, you can access them using:"
    ]
@@ -199,7 +199,7 @@
    "outputs": [],
    "source": [
     "# uncommenting the line below will print your temporary aws login credentials\n",
-    "# reg.auth._s3login_credentials"
+    "# reg.s3login_credentials"
    ]
   },
   {
@@ -298,7 +298,7 @@
    },
    "outputs": [],
    "source": [
-    "reader.vars.append(var_list=['h_li'])"
+    "reader.vars.append(var_list=['h_ph'])"
    ]
   },
   {
@@ -337,13 +337,6 @@
     "The slow load speed is a demonstration of the many steps involved in making cloud data actionable - the data supply chain needs optimized source data, efficient low level data readers, and high level libraries which are enabled to use the fastest low level data readers. Not all of these pieces fully developed right now, but the progress being made it exciting and there is lots of room for contribution!"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -354,13 +347,6 @@
     "* notebook by: Jessica Scheick and Rachel Wegener\n",
     "* historic source material: [is2-nsidc-cloud.py](https://gist.github.com/bradlipovsky/80ab6a7aff3d3524b9616a9fc176065e#file-is2-nsidc-cloud-py-L28) by Brad Lipovsky"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {