diff --git a/docs/user_guide/examples/tutorial_dt_integrators.ipynb b/docs/user_guide/examples/tutorial_dt_integrators.ipynb
index 828ade76b..d6230ce12 100644
--- a/docs/user_guide/examples/tutorial_dt_integrators.ipynb
+++ b/docs/user_guide/examples/tutorial_dt_integrators.ipynb
@@ -154,7 +154,7 @@
     "\n",
     "$$\n",
     "\\begin{aligned}\n",
-    "\\text{d}t < \\frac{1}{12 * 1.71e-5} = 4.9e3 \\text{ seconds}\n",
+    "\\text{d}t < \\frac{1}{12 * 1.71 * 10^{-5}} = 4.9* 10^{3} \\text{ seconds}\n",
     "\\end{aligned}\n",
     "$$\n",
     "\n",
diff --git a/docs/user_guide/examples/tutorial_interpolation.ipynb b/docs/user_guide/examples/tutorial_interpolation.ipynb
index 82f489c40..b64ed72c7 100644
--- a/docs/user_guide/examples/tutorial_interpolation.ipynb
+++ b/docs/user_guide/examples/tutorial_interpolation.ipynb
@@ -6,9 +6,7 @@
    "metadata": {},
    "source": [
     "# 🖥️ Using `parcels.interpolators`\n",
-    "Parcels comes with a number of different interpolation methods for tracer fields, such as temperature. Here, we will look at a few common `parcels.interpolators` for structured (`X`) grids, and how to configure them in an idealised example. For more guidance on the sampling of such fields, check out the [sampling tutorial](./tutorial_sampling).\n",
-    "\n",
-    "We first import the relevant modules"
+    "Parcels comes with a number of different interpolation methods for fields on structured (`X`) and unstructured (`Ux`) grids. Here, we will look at a few common {py:obj}`parcels.interpolators` for tracer fiedls, and how to configure them in an idealised example. For more guidance on the sampling of such fields, check out the [sampling tutorial](./tutorial_sampling)."
    ]
   },
   {
@@ -24,6 +22,14 @@
     "import parcels"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Interpolators on structured grids\n",
+    "We will first look at interpolation schemes which work on tracer fields defined on {py:obj}`parcels.XGrid` objects."
+   ]
+  },
   {
    "attachments": {},
    "cell_type": "markdown",
@@ -53,7 +59,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "From this dataset we create a `parcels.FieldSet`. Parcels requires an interpolation method to be set for each `parcels.Field`, which we will later adapt to see the effects of the different interpolators. A common interpolator for fields on structured grids is (tri)linear, implemented in `parcels.interpolators.XLinear`."
+    "From this dataset we create a {py:obj}`parcels.FieldSet`. Parcels requires an interpolation method to be set for each {py:obj}`parcels.Field`, which we will later adapt to see the effects of the different interpolators. A common interpolator for fields on structured grids is (tri)linear, implemented in {py:obj}`parcels.interpolators.XLinear`."
    ]
   },
   {
@@ -230,15 +236,11 @@
     "\n",
     "In the special case where a `parcels.Field` is constant in time and space, such as implementing constant diffusion on a spherical mesh, we can use:\n",
     "\n",
-    "5. `interp_method=parcels.interpolators.XConstantField`: return single value of a Constant Field"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "```{note}\n",
-    "TODO: link to reference API with all `parcels.interpolators`\n",
+    "5. `interp_method=parcels.interpolators.XConstantField`: return single value of a Constant Field\n",
+    "\n",
+    "```{admonition} [..] API reference\n",
+    ":class: seealso\n",
+    "All available interpolation methods are listed here: {py:obj}`parcels.interpolators`\n",
     "```"
    ]
   },
@@ -249,14 +251,14 @@
     "### Interpolation at boundaries\n",
     "In some cases, we need to implement specific boundary conditions, for example to prevent particles from \n",
     "getting \"stuck\" near land. [This guide](../examples_v3/documentation_unstuck_Agrid.ipynb) describes \n",
-    "how to implement this in parcels using `parcels.interpolators.XFreeslip` and `parcels.interpolators.XPartialslip`."
+    "how to implement this in parcels using {py:obj}`parcels.interpolators.XFreeslip` and {py:obj}`parcels.interpolators.XPartialslip`."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Interpolation on unstructured grids\n",
+    "## Interpolators on unstructured grids\n",
     "Parcels v4 supports the use of general circulation model output that is defined on unstructured grids. We include basic interpolators to help you get started, including\n",
     "- `UxPiecewiseConstantFace` - this interpolator implements piecewise constant interpolation and is appropriate for data that is registered to the face centers of the unstructured grid\n",
     "- `UxPiecewiseLinearNode` - this interpolator implements barycentric interpolation and is appropriate for data that is registered to the corner vertices of the unstructured grid faces\n",
@@ -280,7 +282,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Next, we create the `Field` and `Fieldset` objects that will be used later in advancing particles. When creating a `Field` or `VectorField` object for unstructured grid data, we attach a `parcels.UxGrid` object and attach an `interp_method` to each object. For data that is defined on face centers, we use the `UxPiecewiseConstantFace` interpolator and for data that is defined on the face vertices, we use the `UxPiecewiseLinearNode` interpolator. In this example, we  will look specifically at interpolating a tracer field that is defined by the same underlying analytical function, but is defined on both faces and vertices as separate fields."
+    "Next, we create the `Field` and `Fieldset` objects that will be used later in advancing particles. When creating a `Field` or `VectorField` object for unstructured grid data, we attach a {py:obj}`parcels.UxGrid` object and attach an `interp_method` to each object. For data that is defined on face centers, we use the `UxPiecewiseConstantFace` interpolator and for data that is defined on the face vertices, we use the `UxPiecewiseLinearNode` interpolator. In this example, we  will look specifically at interpolating a tracer field that is defined by the same underlying analytical function, but is defined on both faces and vertices as separate fields."
    ]
   },
   {
@@ -494,7 +496,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "test-notebooks",
    "language": "python",
    "name": "python3"
   },
@@ -508,7 +510,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.11"
+   "version": "3.13.9"
   }
  },
  "nbformat": 4,