Using FieldSet.from_sgrid_conventions() in tutorials

docs/user_guide/examples/tutorial_diffusion.ipynb

@@ -194,7 +194,6 @@
     "\n",
     "ds = simple_UV_dataset(dims=(1, 1, Ny, 1), mesh=\"flat\")\n",
     "ds[\"lat\"][:] = np.linspace(-0.01, 1.01, Ny)\n",
-    "ds[\"lon\"][:] = np.ones(len(ds.XG))\n",
     "ds[\"Kh_meridional\"] = ([\"YG\", \"XG\"], Kh_meridional[:, None])\n",
     "ds"
    ]

docs/user_guide/examples/tutorial_interpolation.ipynb

@@ -50,7 +50,7 @@
     "ds[\"lat\"][:] = np.linspace(0.0, 1.0, len(ds.YG))\n",
     "ds[\"lon\"][:] = np.linspace(0.0, 1.0, len(ds.XG))\n",
     "dx, dy = 1.0 / len(ds.XG), 1.0 / len(ds.YG)\n",
-    "ds[\"P\"] = ds[\"U\"] + np.random.rand(5, 4) + 0.1\n",
+    "ds[\"P\"] = ds[\"U\"] + np.random.rand(1, 1, 5, 4) + 0.1\n",
     "ds[\"P\"][:, :, 1, 1] = 0\n",
     "ds"
    ]
@@ -59,7 +59,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "From this dataset we create a {py:obj}`parcels.FieldSet` using the {py:meth}`parcels.FieldSet.from_sgrid_conventions` constructor, which automatically sets up the grid and fields according to Parcels' s-grid conventions."
+    "From this dataset we create a {py:obj}`parcels.FieldSet` using the {py:meth}`parcels.FieldSet.from_sgrid_conventions` constructor, which automatically sets up the grid and fields according to Parcels' s-grid conventions.\n",
+    "\n",
+    "The default interpolator for fields on structured A-grid grids is (tri)linear interpolation, implemented in `parcels.interpolators.XLinear`."
    ]
   },
   {
@@ -68,7 +70,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "fieldset = parcels.FieldSet.from_sgrid_conventions(ds, mesh=\"flat\")"
+    "fieldset = parcels.FieldSet.from_sgrid_conventions(ds, mesh=\"flat\")\n",
+    "\n",
+    "assert fieldset.P.interp_method == parcels.interpolators.XLinear"
    ]
   },
   {

docs/user_guide/examples/tutorial_unitconverters.ipynb

@@ -53,20 +53,16 @@
     "ds[\"temperature\"] = ds[\"U\"] + 20  # add temperature field of 20 deg\n",
     "ds[\"U\"].data[:] = 1.0  # set U to 1 m/s\n",
     "ds[\"V\"].data[:] = 1.0  # set V to 1 m/s\n",
-    "ds"
+    "display(ds)\n",
+    "\n",
+    "fieldset = parcels.FieldSet.from_sgrid_conventions(ds, mesh=\"spherical\")"
    ]
   },
   {
    "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "To create a `parcels.FieldSet` object, we use the `parcels.FieldSet.from_sgrid_conventions` constructor. We add the argument `mesh='spherical'` to signal that all longitudes and latitudes are in degrees.\n",
-    "\n",
-    "```{note}\n",
-    "When using a `FieldSet` method for a specific dataset, such as `from_copernicusmarine()`, the grid information is known and parsed by Parcels, so we do not have to add the `mesh` argument.\n",
-    "```\n",
-    "\n",
     "Plotting the `U` field indeed shows a uniform 1 m/s eastward flow.\n"
    ]
   },
@@ -76,8 +72,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "fieldset = parcels.FieldSet.from_sgrid_conventions(ds, mesh=\"spherical\")\n",
-    "\n",
     "plt.pcolormesh(\n",
     "    fieldset.U.grid.lon,\n",
     "    fieldset.U.grid.lat,\n",

src/parcels/_core/utils/sgrid.py

@@ -461,6 +461,18 @@ def _metadata_rename_dims(grid: Grid2DMetadata, dims_dict: dict[str, str]) -> Gr
 def _metadata_rename_dims(grid: Grid3DMetadata, dims_dict: dict[str, str]) -> Grid3DMetadata: ...
 
 
+def _attach_sgrid_metadata(ds, grid: Grid2DMetadata | Grid3DMetadata):
+    """Copies the dataset and attaches the SGRID metadata in 'grid' variable. Modifies 'conventions' attribute."""
+    ds = ds.copy()
+    ds["grid"] = (
+        [],
+        0,
+        grid.to_attrs(),
+    )
+    ds.attrs["Conventions"] = "SGRID"
+    return ds
+
+
 def _metadata_rename_dims(grid, dims_dict):
     """
     Renames dimensions in SGrid metadata.

src/parcels/_datasets/structured/generated.py

@@ -7,6 +7,7 @@
     DimDimPadding,
     Grid2DMetadata,
     Padding,
+    _attach_sgrid_metadata,
 )
 from parcels._core.utils.time import timedelta_to_float
 from parcels._datasets.utils import _attach_sgrid_metadata
@@ -24,7 +25,7 @@ def simple_UV_dataset(dims=(360, 2, 30, 4), maxdepth=1, mesh="spherical"):
             "YG": (["YG"], np.arange(dims[2]), {"axis": "Y", "c_grid_axis_shift": -0.5}),
             "XC": (["XC"], np.arange(dims[3]) + 0.5, {"axis": "X"}),
             "XG": (["XG"], np.arange(dims[3]), {"axis": "X", "c_grid_axis_shift": -0.5}),
-            "lat": (["YG"], np.linspace(-90, 90, dims[2]), {"axis": "Y", "c_grid_axis_shift": 0.5}),
+            "lat": (["YG"], np.linspace(-90, 90, dims[2]), {"axis": "Y", "c_grid_axis_shift": -0.5}),
             "lon": (["XG"], np.linspace(-max_lon, max_lon, dims[3]), {"axis": "X", "c_grid_axis_shift": -0.5}),
         },
     ).pipe(

src/parcels/_datasets/structured/generic.py

@@ -5,6 +5,7 @@
     DimDimPadding,
     Grid2DMetadata,
     Padding,
+    _attach_sgrid_metadata,
 )
 from parcels._core.utils.sgrid import (
     rename_dims as sgrid_rename_dims,