Merge pull request #55 from andrewdelman/v4r4_tut_updates

V4r4 tut updates

Author: andrewdelman

Tutorials_as_Jupyter_Notebooks/ECCO_v4_Example_MHT.ipynb

@@ -403,7 +403,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "This compares favorable with *Global surface area of Earth's Oceans : approx 3.60 x $10^8$ $km^2$* from https://hypertextbook.com/facts/1997/EricCheng.shtml\n",
+    "This compares favorably with approx 3.60 x 10$^8$ km$^2$ from https://hypertextbook.com/facts/1997/EricCheng.shtml\n",
     "\n",
     "##### Multiplication of DataArrays\n",
     "You probably noticed that the multiplication of grid cell area with the land mask was done element by element.  One useful feature of `DataArrays` is that their dimensions are automatically lined up when doing binary operations.  Also, because *rA* and *ocean_mask* are both `DataArrays`, their inner product and their sums are also `DataArrays`.  \n",
@@ -574,11 +574,11 @@
     "\n",
     "Mean dynamic topography is calculated as follows,\n",
     "\n",
-    "$MDT(i) = \\frac{\\sum_{t} SSH(i,t) - SSH_{\\text{global mean}}(t)}{nt} $\n",
+    "$$ MDT(i) = \\frac{\\sum_{t} SSH(i,t) - SSH_{\\text{global mean}}(t)}{nt} $$\n",
     "\n",
     "Where $nt$ is the number of time records. \n",
     "\n",
-    "For *MDT* we presere the spatial dimensions. Summation and averaging are over the time dimensions (axis 0)."
+    "For *MDT* we preserve the spatial dimensions. Summation and averaging are over the time dimensions (axis 0)."
    ]
   },
   {
@@ -777,7 +777,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now set all $SSH$ values that are 'nan' to zero because the polynominal fitting\n",
+    "Now set all SSH values that are 'nan' to zero because the polynominal fitting\n",
     "routine can't handle nans,"
    ]
   },
@@ -1368,7 +1368,7 @@
    "cell_type": "code",
    "execution_count": 37,
    "metadata": {
-    "scrolled": true
+    "scrolled": false
    },
    "outputs": [
     {
@@ -1608,7 +1608,7 @@
    "cell_type": "code",
    "execution_count": 44,
    "metadata": {
-    "scrolled": true
+    "scrolled": false
    },
    "outputs": [
     {