Changing tutorial name to Manipulating Field data

And added short description

Author: erikvansebille

docs/user_guide/examples/explanation_kernelloop.md

@@ -43,7 +43,7 @@ Besides having commutable Kernels, the main advantage of this implementation is
 Below is a simple example of some particles at the surface of the ocean. We create an idealised zonal wind flow that will "push" a particle that is already affected by the surface currents. The Kernel loop ensures that these two forces act at the same time and location.
 
 ```{note}
-Advecting particles by a combination of flow fields can be done with two separate kernels, as is shown below. However, it can also be done by summing the fields directly using `xarray` operations - provided the fields are defined on the same grid and have compatible dimensions. See the [summing fields tutorial](tutorial_summingfields.ipynb) for an example of that approach.
+Advecting particles by a combination of flow fields can be done with two separate kernels, as is shown below. However, it can also be done by summing the fields directly using `xarray` operations - provided the fields are defined on the same grid and have compatible dimensions. See the [manipulating field data tutorial](tutorial_manipulating_field_data.ipynb) for an example of that approach.
 ```
 
 ```{code-cell}

docs/user_guide/examples/tutorial_manipulating_field_data.ipynb

@@ -5,14 +5,23 @@
    "id": "0",
    "metadata": {},
    "source": [
-    "# 🖥️ Summing Fields"
+    "# 🖥️ Manipulating Field data"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "1",
    "metadata": {},
    "source": [
+    "Because Parcels `Field` objects are built on top of `xarray` DataArrays, you can leverage the powerful data manipulation capabilities of `xarray` to preprocess or modify your field data before using it in particle simulations. This tutorial provides some examples of how to leverage that power."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2",
+   "metadata": {},
+   "source": [
+    "## Summing Fields\n",
     "In some applications, you may want to sum multiple fields together to create a combined effect on particle movement. For example, you might want to combine ocean currents with wind-driven surface drift. This tutorial demonstrates how to sum multiple fields in Parcels and visualize the resulting particle trajectories.\n",
     "\n",
     "We base this tutorial on the example provided in the [Parcels Kernel loop explanation](explanation_kernelloop.md). There, we combined two kernels to simulate the joint effect of currents and winds.\n",
@@ -25,7 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2",
+   "id": "3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -62,7 +71,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3",
+   "id": "4",
    "metadata": {},
    "source": [
     "Now here comes the trick: we can simply sum the fields together using `xarray` operations"
@@ -71,7 +80,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4",
+   "id": "5",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -82,7 +91,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5",
+   "id": "6",
    "metadata": {},
    "source": [
     "```{note}\n",
@@ -92,7 +101,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6",
+   "id": "7",
    "metadata": {},
    "source": [
     "We can then run the same simulation as in the [Kernel loop explanation tutorial](explanation_kernelloop.md), but now using the combined fields. We only need the default advection kernel now, since the effects of both currents and winds are already included in the summed fields."
@@ -101,7 +110,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7",
+   "id": "8",
    "metadata": {
     "tags": [
      "hide-output"
@@ -135,7 +144,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8",
+   "id": "9",
    "metadata": {},
    "source": [
     "We can then plot the trajectories, and confirm that they particles move the same as in the [Kernel loop explanation tutorial](explanation_kernelloop.md), where we combined the effects of currents and winds using two separate kernels."
@@ -144,7 +153,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9",
+   "id": "10",
    "metadata": {},
    "outputs": [],
    "source": [