Fix typos

.typos.toml

@@ -11,6 +11,7 @@ ba = "ba"
 
 # Don't correct some other abbreviations
 FOT = "FOT"
+LinearNDInterpolator = "LinearNDInterpolator"
 
 # Don't check the following files
 [files]

cookbooks/convection-box/tutorial-onset-of-convection/notebooks/tutorial_appendix.ipynb

@@ -7,7 +7,7 @@
    "source": [
     "## Appendix. Historical Note\n",
     "\n",
-    "This notebook was orginally developed for ASPECT v1.5.0 in 2017.\n",
+    "This notebook was originally developed for ASPECT v1.5.0 in 2017.\n",
     "\n",
     "The original results for the Nusselt-Rayleigh relationship is shown below. \n",
     "\n",

cookbooks/convection-box/tutorial-onset-of-convection/notebooks/tutorial_credit.ipynb

@@ -8,10 +8,10 @@
     "\n",
     "Many researchers have contributed a large amount of time and effort to developing ASPECT for the community.  Help them in their careers by citing ASPECT. \n",
     "\n",
-    "You can give credit and support reproducibilty by citing:\n",
+    "You can give credit and support reproducibility by citing:\n",
     "* the version of the code used,\n",
     "* where the code can be found, and\n",
-    "* repository where you have depostied yur input and output files.  \n",
+    "* repository where you have deposited your input and output files.  \n",
     "\n",
     "For the latest citation and attribution information, go to:\n",
     "> https://aspect.geodynamics.org/citing.html?src=www&ver=release\n",

cookbooks/convection-box/tutorial-onset-of-convection/notebooks/tutorial_default.ipynb

@@ -32,7 +32,7 @@
     "\n",
     "<div align=\"right\">\n",
     "    \n",
-    "#### >>>>> **NEXT**: [4.4 Reproduciblity and Credit](tutorial_credit.ipynb)\n",
+    "#### >>>>> **NEXT**: [4.4 Reproducibility and Credit](tutorial_credit.ipynb)\n",
     "</div>"
    ]
   },

cookbooks/convection-box/tutorial-onset-of-convection/notebooks/tutorial_prm.ipynb

@@ -23,7 +23,7 @@
     "#### subsection Initial temperature model\n",
     "ASPECT has built in initial condition models to specify the temperature initial conditions and framework for users to implement custom initial condition models.\n",
     "\n",
-    "Function lets us specify the intial temperature as a mathematical formula, with user defined constants.\n",
+    "Function lets us specify the initial temperature as a mathematical formula, with user defined constants.\n",
     "\n",
     "In the example here, a sinusoidal perturbation of a linear temperature profile is specified.\n",
     "\n",
@@ -63,7 +63,7 @@
     "Initial global refinement specifies the \"grid spacing\".\n",
     "\n",
     "In the example here: \n",
-    "* Intial global refinement was set to 4 corresponding to a 16x16 grid. Setting refinement to 3 corresponds to an 8x8 grid; Setting refinement to 16 correspond to a 32x32 grid.  \n",
+    "* Initial global refinement was set to 4 corresponding to a 16x16 grid. Setting refinement to 3 corresponds to an 8x8 grid; Setting refinement to 16 correspond to a 32x32 grid.  \n",
     "* Adaptive mesh refinement is turned off.\n",
     "\n",
     "#### subsection Postprocess\n",

cookbooks/convection-box/tutorial-onset-of-convection/notebooks/tutorial_running.ipynb

@@ -10,7 +10,7 @@
     "\n",
     "### 2.1 I/O\n",
     "\n",
-    "ASPECT takes as input parameter files (\\*.prm) that completely describes your simulation. The parameter files determines the discretization, intial conditions, boundary conditions, material model, etc. See [Parameter Documentation](https://aspect-documentation.readthedocs.io/en/latest/parameters/index.html) in the manual for the complete list of run-time input parameters.\n",
+    "ASPECT takes as input parameter files (\\*.prm) that completely describes your simulation. The parameter files determines the discretization, initial conditions, boundary conditions, material model, etc. See [Parameter Documentation](https://aspect-documentation.readthedocs.io/en/latest/parameters/index.html) in the manual for the complete list of run-time input parameters.\n",
     "      \n",
     "Example .prm files can be found in the cookbooks/ and benchmarks/ directory of the ASPECT distribution.\n",
     "If you are running this from ASPECT Jupyter Notebooks on geodynamics.org, then ASPECT example models and data are located in directories defined in the environment variables `$ASPECT_DIR` and `$ASPECT_SOURCE_DIR`.\n",
@@ -87,7 +87,7 @@
    "source": [
     "### 2.3 Executing ASPECT\n",
     "\n",
-    "Run ASPECT by calling the code specifing the input parameter file.  \n",
+    "Run ASPECT by calling the code specifying the input parameter file.  \n",
     "\n",
     "Always make sure your paths are correct relative to your current working directory.\n",
     "\n",
@@ -145,7 +145,7 @@
     "\n",
     "> **Step 2:**  Start a new terminal window : New > Terminal\n",
     "\n",
-    "> **Step 3:**  In your terminal window, create a compressed tarball of the directory, where 'output.tar.gz' is your target file and 'ouput' is your input folder.\n",
+    "> **Step 3:**  In your terminal window, create a compressed tarball of the directory, where 'output.tar.gz' is your target file and 'output' is your input folder.\n",
     "\n",
     ">          cd tutorial-Jupyter/\n",
     ">          tar zcfv output-convection-box.tar.gz output-convection-box\n",
@@ -156,7 +156,7 @@
     "\n",
     "### 2.5 Plotting Statistics\n",
     "\n",
-    "If you have downloaded the output files, use your favorite method to plot simulation time vs. heat flux through the top boundary.  This is columns 2 and 20 in the outout file 'statistics'.  \n",
+    "If you have downloaded the output files, use your favorite method to plot simulation time vs. heat flux through the top boundary.  This is columns 2 and 20 in the output file 'statistics'.  \n",
     "\n",
     "OR\n",
     "\n",
@@ -228,7 +228,7 @@
     "\n",
     "    http://www.paraview.org/\n",
     "    \n",
-    "ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of petascale size as well as on laptops for smaller data. It supports visualization tools such as isosurfaces, slices, streamlines, volume rendering, and othe complex visualization techniques.\n",
+    "ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of petascale size as well as on laptops for smaller data. It supports visualization tools such as isosurfaces, slices, streamlines, volume rendering, and other complex visualization techniques.\n",
     "\n",
     "ParaView is not supported in Jupyter notebooks and must be launched from your desktop. Please see separate tutorial to learn how to use Paraview.\n",
     "\n",
@@ -260,12 +260,12 @@
     ">**Step 4:** Visualize the <em>T</em> field. \n",
     ">> **Tip:** In the Properties panel, change from <em>Solid Color</em> to <em>T</em>.\n",
     "\n",
-    ">**Step 4:** Visulize how <em>T</em> changes through time.\n",
+    ">**Step 4:** Visualize how <em>T</em> changes through time.\n",
     "\n",
     ">> **Tip:** Select the play button on the toolbar. \n",
     "\n",
     "\n",
-    "> **Exercise:** Try switiching paramenters, playing with color scales, and switching to other views!"
+    "> **Exercise:** Try switching parameters, playing with color scales, and switching to other views!"
    ]
   },
   {