Mention that SST is called tos in the model (#390)

Eric Levine · web-flow · commit 109016a61407 · 2023-05-02T21:40:06.000-06:00
diff --git a/core/xarray/computation-masking.ipynb b/core/xarray/computation-masking.ipynb
@@ -95,7 +95,7 @@
    "source": [
     "## Data Setup\n",
     "\n",
-    "The bulk of the examples in this tutorial make use of a single dataset. This dataset contains monthly sea surface temperature (SST) data, and is obtained from the Community Earth System Model v2 (CESM2). (For this tutorial, however, the dataset will be retrieved from the Pythia example data repository.) The following example illustrates the process of retrieving this Global Climate Model dataset:"
+    "The bulk of the examples in this tutorial make use of a single dataset. This dataset contains monthly sea surface temperature (SST, call 'tos' here) data, and is obtained from the Community Earth System Model v2 (CESM2). (For this tutorial, however, the dataset will be retrieved from the Pythia example data repository.) The following example illustrates the process of retrieving this Global Climate Model dataset:"
    ]
   },
   {

Original file line number	Diff line number	Diff line change
`@@ -95,7 +95,7 @@`
`95`	`95`	`"source": [`
`96`	`96`	`"## Data Setup\n",`
`97`	`97`	`"\n",`
`98`		`- "The bulk of the examples in this tutorial make use of a single dataset. This dataset contains monthly sea surface temperature (SST) data, and is obtained from the Community Earth System Model v2 (CESM2). (For this tutorial, however, the dataset will be retrieved from the Pythia example data repository.) The following example illustrates the process of retrieving this Global Climate Model dataset:"`
	`98`	`+ "The bulk of the examples in this tutorial make use of a single dataset. This dataset contains monthly sea surface temperature (SST, call 'tos' here) data, and is obtained from the Community Earth System Model v2 (CESM2). (For this tutorial, however, the dataset will be retrieved from the Pythia example data repository.) The following example illustrates the process of retrieving this Global Climate Model dataset:"`
`99`	`99`	`]`
`100`	`100`	`},`
`101`	`101`	`{`