Repository: OceanParcels/Parcels (language: python)

Issue:
from_croco() enhancement; correct conversion from z to sigma grid
In Parcels v3.1.0, we implemented support for CROCO sigma grids. We assumed that the conversion from the depth-coordinate (z) to the terrain-following coordinate (sigma) was simply `sigma(t, y, x) = z(t, y, x) / H(y, x)`, where `H` is the local seafloor depth. 

However, following the discussion in https://github.com/OceanParcels/Parcels/discussions/1752, we now realise that this conversion is a bit more complex, and requires not only the free-surface field (`eta`), but also a a critical depth controlling the stretching `depth_c` , and a dimensionless vertical coordinate stretching function `C[zi]` as a function of vertical grid

See http://cfconventions.org/cf-conventions/cf-conventions.html#_ocean_s_coordinate_generic_form_1 for detailed information about this conversion

It would be good to implement this conversion under the hood in Parcels too, so that the mapping between `sigma` and `z` is more in line with CROCO numerics


Discussion / hints:

Fix patch:
diff --git a/docs/examples/tutorial_croco_3D.ipynb b/docs/examples/tutorial_croco_3D.ipynb
index 7194025da..df621724e 100644
--- a/docs/examples/tutorial_croco_3D.ipynb
+++ b/docs/examples/tutorial_croco_3D.ipynb
@@ -76,19 +76,9 @@
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/x0/1qxj679n55zcybylvdsb4bxh0000gq/T/ipykernel_99569/3687013997.py:12: FieldSetWarning: Note that it is unclear which vertical velocity ('w' or 'omega') to use in 3D croco fields.\n",
-      "See https://docs.oceanparcels.org/en/latest/examples/tutorial_croco_3D.html for more information\n",
-      "  fieldset = parcels.FieldSet.from_croco(\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "variables = {\"U\": \"u\", \"V\": \"v\", \"W\": \"w\", \"H\": \"h\"}\n",
+    "variables = {\"U\": \"u\", \"V\": \"v\", \"W\": \"w\", \"H\": \"h\", \"Zeta\": \"zeta\", \"Cs_w\": \"Cs_w\"}\n",
     "\n",
     "lon_rho = \"x_rho\"  # Note, this would be \"lon_rho\" for a dataset on a spherical grid\n",
     "lat_rho = \"y_rho\"  # Note ,this would be \"lat_rho\" for a dataset on a spherical grid\n",
@@ -98,11 +88,16 @@
     "    \"V\": {\"lon\": lon_rho, \"lat\": lat_rho, \"depth\": \"s_w\", \"time\": \"time\"},\n",
     "    \"W\": {\"lon\": lon_rho, \"lat\": lat_rho, \"depth\": \"s_w\", \"time\": \"time\"},\n",
     "    \"H\": {\"lon\": lon_rho, \"lat\": lat_rho},\n",
+    "    \"Zeta\": {\"lon\": lon_rho, \"lat\": lat_rho, \"time\": \"time\"},\n",
+    "    \"Cs_w\": {\"depth\": \"s_w\"},\n",
     "}\n",
     "fieldset = parcels.FieldSet.from_croco(\n",
     "    file,\n",
     "    variables,\n",
     "    dimensions,\n",
+    "    hc=xr.open_dataset(\n",
+    "        file\n",
+    "    ).hc.values,  # Note this stretching parameter is needed for the vertical grid\n",
     "    allow_time_extrapolation=True,  # Note, this is only needed for this specific example dataset, that has only one snapshot\n",
     "    mesh=\"flat\",  # Note, this is only needed for this specific example dataset, that has been created on a 'flat' mesh (i.e. in km instead of in degrees)\n",
     ")"
@@ -125,7 +120,7 @@
      "output_type": "stream",
      "text": [
       "INFO: Output files are stored in croco_particles3D.zarr.\n",
-      "100%|██████████| 50000.0/50000.0 [00:00<00:00, 79485.48it/s]\n"
+      "100%|██████████| 50000.0/50000.0 [00:00<00:00, 131009.03it/s]\n"
      ]
     }
    ],
@@ -174,7 +169,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 600x400 with 1 Axes>"
       ]
@@ -224,12 +219,12 @@
      "output_type": "stream",
      "text": [
       "INFO: Output files are stored in croco_particles_noW.zarr.\n",
-      "100%|██████████| 50000.0/50000.0 [00:00<00:00, 82825.22it/s]\n"
+      "100%|██████████| 50000.0/50000.0 [00:00<00:00, 132723.16it/s]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 600x400 with 1 Axes>"
       ]
@@ -286,7 +281,21 @@
    "source": [
     "When using `FieldSet.from_croco()`, Parcels knows that depth needs to be converted to sigma-coordinates, before doing any interpolation. This is done under the hood, using code for interpolation (in this case a `T` Field) like\n",
     "```python\n",
-    "sigma = particle.depth / fieldset.H[time, particle.depth, particle.lat, particle.lon]\n",
+    "# First calculate local sigma level of the particle, by linearly interpolating the scaling function that maps sigma to depth (using local ocean depth H, sea-surface Zeta and stretching parameters Cs_w and hc). See also https://croco-ocean.gitlabpages.inria.fr/croco_doc/model/model.grid.html#vertical-grid-parameters\n",
+    "h = fieldset.H[time, 0, particle.lat, particle.lon]\n",
+    "zeta = fieldset.H[time, 0, particle.lat, particle.lon]\n",
+    "sigma_levels = fieldset.U.grid.depth\n",
+    "z0 = fieldset.hc * sigma_levels + (h - fieldset.hc) * fieldset.Cs_w\n",
+    "zvec = z0 + zeta * (1 + (z0 / h))\n",
+    "zinds = zvec <= z\n",
+    "if z >= zvec[-1]:\n",
+    "    zi = len(zvec) - 2\n",
+    "else:\n",
+    "    zi = zinds.argmin() - 1 if z >= zvec[0] else 0\n",
+    "\n",
+    "sigma = sigma_levels[zi] + (z - zvec[zi]) * (sigma_levels[zi + 1] - sigma_levels[zi]) / (zvec[zi + 1] - zvec[zi])\n",
+    "\n",
+    "# Now interpolate the field to the sigma level\n",
     "temp = fieldset.T[time, sigma, particle.lat, particle.lon]\n",
     "```"
    ]
@@ -295,14 +304,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "For the `AdvectionRK4_3D` kernel, Parcels will replace the kernel with `AdvectionRK4_3D_CROCO`, which works slightly different from the normal 3D advection kernel because it converts the vertical velocity in sigma-units.\n",
+    "For the `AdvectionRK4_3D` kernel, Parcels will replace the kernel with `AdvectionRK4_3D_CROCO`, which works slightly different from the normal 3D advection kernel because it converts the vertical velocity in sigma-units. The conversion from depth to sigma is done at every time step, using the code shows above.\n",
     "\n",
     "In particular, the following algorithm is used (note that the RK4 version is slightly more complex than this Euler-Forward version, but the idea is identical)\n",
     "\n",
     "```python\n",
-    "# calculate local sigma level of particle, by scaling depth by local ocean depth H\n",
-    "sigma = particle.depth / fieldset.H[time, particle.depth, particle.lat, particle.lon]\n",
-    "\n",
     "(u, v, w) = fieldset.UVW[time, particle.depth, particle.lat, particle.lon, particle]  \n",
     "\n",
     "# scaling the w with the sigma level of the particle\n",
diff --git a/parcels/compilation/codegenerator.py b/parcels/compilation/codegenerator.py
index f4bc55867..669758c83 100644
--- a/parcels/compilation/codegenerator.py
+++ b/parcels/compilation/codegenerator.py
@@ -425,10 +425,13 @@ def __init__(self, fieldset=None, ptype=JITParticle):
         self.fieldset = fieldset
         self.ptype = ptype
         self.field_args = collections.OrderedDict()
-        if isinstance(fieldset.U, Field) and fieldset.U.gridindexingtype == "croco" and hasattr(fieldset, "H"):
-            self.field_args["H"] = fieldset.H  # CROCO requires H field
         self.vector_field_args = collections.OrderedDict()
         self.const_args = collections.OrderedDict()
+        if isinstance(fieldset.U, Field) and fieldset.U.gridindexingtype == "croco" and hasattr(fieldset, "H"):
+            self.field_args["H"] = fieldset.H  # CROCO requires H field
+            self.field_args["Zeta"] = fieldset.Zeta  # CROCO requires Zeta field
+            self.field_args["Cs_w"] = fieldset.Cs_w  # CROCO requires CS_w field
+            self.const_args["hc"] = fieldset.hc  # CROCO requires hc constant
 
     def generate(self, py_ast, funcvars: list[str]):
         # Replace occurrences of intrinsic objects in Python AST
@@ -825,16 +828,18 @@ def visit_FieldEvalNode(self, node):
         self.visit(node.field)
         self.visit(node.args)
         args = self._check_FieldSamplingArguments(node.args.ccode)
-        statements_croco = []
-        if "croco" in node.field.obj.gridindexingtype and node.field.obj.name != "H":
-            statements_croco.append(
-                c.Assign(
-                    "parcels_interp_state",
-                    f"temporal_interpolation({args[3]}, {args[2]}, 0, time, H, &particles->xi[pnum*ngrid], &particles->yi[pnum*ngrid], &particles->zi[pnum*ngrid], &particles->ti[pnum*ngrid], &{node.var}, LINEAR, {node.field.obj.gridindexingtype.upper()})",
-                )
-            )
-            statements_croco.append(c.Statement(f"{node.var} = {args[1]}/{node.var}"))
+        if "croco" in node.field.obj.gridindexingtype and node.field.obj.name != "H" and node.field.obj.name != "Zeta":
+            # Get Cs_w values directly from fieldset (since they are 1D in vertical only)
+            Cs_w = [float(self.fieldset.Cs_w.data[0][zi][0][0]) for zi in range(self.fieldset.Cs_w.data.shape[1])]
+            statements_croco = [
+                c.Statement(f"float cs_w[] = {*Cs_w, }".replace("(", "{").replace(")", "}")),
+                c.Statement(
+                    f"{node.var} = croco_from_z_to_sigma(U, H, Zeta, {args[3]}, {args[2]}, {args[1]}, time, &particles->xi[pnum*ngrid], &particles->yi[pnum*ngrid], &particles->zi[pnum*ngrid], &particles->ti[pnum*ngrid], hc, &cs_w)"
+                ),
+            ]
             args = (args[0], node.var, args[2], args[3])
+        else:
+            statements_croco = []
         ccode_eval = node.field.obj._ccode_eval(node.var, *args)
         stmts = [
             c.Assign("parcels_interp_state", ccode_eval),
@@ -852,16 +857,18 @@ def visit_VectorFieldEvalNode(self, node):
         self.visit(node.field)
         self.visit(node.args)
         args = self._check_FieldSamplingArguments(node.args.ccode)
-        statements_croco = []
         if "3DSigma" in node.field.obj.vector_type:
-            statements_croco.append(
-                c.Assign(
-                    "parcels_interp_state",
-                    f"temporal_interpolation({args[3]}, {args[2]}, 0, time, H, &particles->xi[pnum*ngrid], &particles->yi[pnum*ngrid], &particles->zi[pnum*ngrid], &particles->ti[pnum*ngrid], &{node.var}, LINEAR, {node.field.obj.U.gridindexingtype.upper()})",
-                )
-            )
-            statements_croco.append(c.Statement(f"{node.var4} = {args[1]}/{node.var}"))
+            # Get Cs_w values directly from fieldset (since they are 1D in vertical only)
+            Cs_w = [float(self.fieldset.Cs_w.data[0][zi][0][0]) for zi in range(self.fieldset.Cs_w.data.shape[1])]
+            statements_croco = [
+                c.Statement(f"float cs_w[] = {*Cs_w, }".replace("(", "{").replace(")", "}")),
+                c.Statement(
+                    f"{node.var4} = croco_from_z_to_sigma(U, H, Zeta, {args[3]}, {args[2]}, {args[1]}, time, &particles->xi[pnum*ngrid], &particles->yi[pnum*ngrid], &particles->zi[pnum*ngrid], &particles->ti[pnum*ngrid], hc, &cs_w)"
+                ),
+            ]
             args = (args[0], node.var4, args[2], args[3])
+        else:
+            statements_croco = []
         ccode_eval = node.field.obj._ccode_eval(
             node.var, node.var2, node.var3, node.field.obj.U, node.field.obj.V, node.field.obj.W, *args
         )
diff --git a/parcels/field.py b/parcels/field.py
index 0871f8595..159c7c299 100644
--- a/parcels/field.py
+++ b/parcels/field.py
@@ -76,6 +76,26 @@ def _deal_with_errors(error, key, vector_type: VectorType):
         return 0
 
 
+def _croco_from_z_to_sigma_scipy(fieldset, time, z, y, x, particle):
+    """Calculate local sigma level of the particle, by linearly interpolating the
+    scaling function that maps sigma to depth (using local ocean depth H,
+    sea-surface Zeta and stretching parameters Cs_w and hc).
+    See also https://croco-ocean.gitlabpages.inria.fr/croco_doc/model/model.grid.html#vertical-grid-parameters
+    """
+    h = fieldset.H.eval(time, 0, y, x, particle=particle, applyConversion=False)
+    zeta = fieldset.Zeta.eval(time, 0, y, x, particle=particle, applyConversion=False)
+    sigma_levels = fieldset.U.grid.depth
+    z0 = fieldset.hc * sigma_levels + (h - fieldset.hc) * fieldset.Cs_w.data[0, :, 0, 0]
+    zvec = z0 + zeta * (1 + (z0 / h))
+    zinds = zvec <= z
+    if z >= zvec[-1]:
+        zi = len(zvec) - 2
+    else:
+        zi = zinds.argmin() - 1 if z >= zvec[0] else 0
+
+    return sigma_levels[zi] + (z - zvec[zi]) * (sigma_levels[zi + 1] - sigma_levels[zi]) / (zvec[zi + 1] - zvec[zi])
+
+
 class Field:
     """Class that encapsulates access to field data.
 
@@ -617,18 +637,23 @@ def from_netcdf(
 
         _grid_fb_class = NetcdfFileBuffer
 
-        with _grid_fb_class(
-            lonlat_filename,
-            dimensions,
-            indices,
-            netcdf_engine,
-            gridindexingtype=gridindexingtype,
-        ) as filebuffer:
-            lon, lat = filebuffer.lonlat
-            indices = filebuffer.indices
-            # Check if parcels_mesh has been explicitly set in file
-            if "parcels_mesh" in filebuffer.dataset.attrs:
-                mesh = filebuffer.dataset.attrs["parcels_mesh"]
+        if "lon" in dimensions and "lat" in dimensions:
+            with _grid_fb_class(
+                lonlat_filename,
+                dimensions,
+                indices,
+                netcdf_engine,
+                gridindexingtype=gridindexingtype,
+            ) as filebuffer:
+                lon, lat = filebuffer.lonlat
+                indices = filebuffer.indices
+                # Check if parcels_mesh has been explicitly set in file
+                if "parcels_mesh" in filebuffer.dataset.attrs:
+                    mesh = filebuffer.dataset.attrs["parcels_mesh"]
+        else:
+            lon = 0
+            lat = 0
+            mesh = "flat"
 
         if "depth" in dimensions:
             with _grid_fb_class(
@@ -1537,8 +1562,8 @@ def eval(self, time, z, y, x, particle=None, applyConversion=True):
         """
         (ti, periods) = self._time_index(time)
         time -= periods * (self.grid.time_full[-1] - self.grid.time_full[0])
-        if self.gridindexingtype == "croco" and self is not self.fieldset.H:
-            z = z / self.fieldset.H.eval(time, 0, y, x, particle=particle, applyConversion=False)
+        if self.gridindexingtype == "croco" and self not in [self.fieldset.H, self.fieldset.Zeta]:
+            z = _croco_from_z_to_sigma_scipy(self.fieldset, time, z, y, x, particle=particle)
         if ti < self.grid.tdim - 1 and time > self.grid.time[ti]:
             f0 = self._spatial_interpolation(ti, z, y, x, time, particle=particle)
             f1 = self._spatial_interpolation(ti + 1, z, y, x, time, particle=particle)
@@ -2250,7 +2275,7 @@ def spatial_c_grid_interpolation3D(self, ti, z, y, x, time, particle=None, apply
             (u, v, w) = self.spatial_c_grid_interpolation3D_full(ti, z, y, x, time, particle=particle)
         else:
             if self.gridindexingtype == "croco":
-                z = z / self.fieldset.H.eval(time, 0, y, x, particle=particle, applyConversion=False)
+                z = _croco_from_z_to_sigma_scipy(self.fieldset, time, z, y, x, particle=particle)
             (u, v) = self.spatial_c_grid_interpolation2D(ti, z, y, x, time, particle=particle)
             w = self.W.eval(time, z, y, x, particle=particle, applyConversion=False)
             if applyConversion:
diff --git a/parcels/fieldfilebuffer.py b/parcels/fieldfilebuffer.py
index 0a42f6f00..294bc7d19 100644
--- a/parcels/fieldfilebuffer.py
+++ b/parcels/fieldfilebuffer.py
@@ -188,7 +188,10 @@ def _check_extend_depth(self, data, di):
         )
 
     def _apply_indices(self, data, ti):
-        if len(data.shape) == 2:
+        if len(data.shape) == 1:
+            if self.indices["depth"] is not None:
+                data = data[self.indices["depth"]]
+        elif len(data.shape) == 2:
             if self.nolonlatindices:
                 pass
             else:
diff --git a/parcels/fieldset.py b/parcels/fieldset.py
index 9a7fd39da..5fa6b13c5 100644
--- a/parcels/fieldset.py
+++ b/parcels/fieldset.py
@@ -713,6 +713,7 @@ def from_croco(
         filenames,
         variables,
         dimensions,
+        hc: float | None = None,
         indices=None,
         mesh="spherical",
         allow_time_extrapolation=None,
@@ -723,11 +724,14 @@ def from_croco(
     ):
         """Initialises FieldSet object from NetCDF files of CROCO fields.
         All parameters and keywords are exactly the same as for FieldSet.from_nemo(), except that
-        the vertical coordinate is scaled by the bathymetry (``h``) field from CROCO, in order to
-        account for the sigma-grid. The horizontal interpolation uses the MITgcm grid indexing
-        as described in FieldSet.from_mitgcm().
+        in order to scale the vertical coordinate in CROCO, the following fields are required:
+        the bathymetry (``h``), the sea-surface height (``zeta``), the S-coordinate stretching curves
+        at W-points (``Cs_w``), and the stretching parameter (``hc``).
+        The horizontal interpolation uses the MITgcm grid indexing as described in FieldSet.from_mitgcm().
 
-        The sigma grid scaling means that FieldSet.from_croco() requires a variable ``H: h`` to work.
+        In 3D, when there is a ``depth`` dimension, the sigma grid scaling means that FieldSet.from_croco()
+        requires variables ``H: h`` and ``Zeta: zeta``, ``Cs_w: Cs_w``, as well as the stretching parameter ``hc``
+        (as an extra input) parameter to work.
 
         See `the CROCO 3D tutorial <../examples/tutorial_croco_3D.ipynb>`__ for more infomation.
         """
@@ -739,14 +743,23 @@ def from_croco(
             )
 
         dimsU = dimensions["U"] if "U" in dimensions else dimensions
-        if "depth" in dimsU:
-            warnings.warn(
-                "Note that it is unclear which vertical velocity ('w' or 'omega') to use in 3D CROCO fields.\nSee https://docs.oceanparcels.org/en/latest/examples/tutorial_croco_3D.html for more information",
-                FieldSetWarning,
-                stacklevel=2,
-            )
+        croco3D = True if "depth" in dimsU else False
+
+        if croco3D:
+            if "W" in variables and variables["W"] == "omega":
+                warnings.warn(
+                    "Note that Parcels expects 'w' for vertical velicites in 3D CROCO fields.\nSee https://docs.oceanparcels.org/en/latest/examples/tutorial_croco_3D.html for more information",
+                    FieldSetWarning,
+                    stacklevel=2,
+                )
             if "H" not in variables:
-                raise ValueError("FieldSet.from_croco() requires a field 'H' for the bathymetry")
+                raise ValueError("FieldSet.from_croco() requires a bathymetry field 'H' for 3D CROCO fields")
+            if "Zeta" not in variables:
+                raise ValueError("FieldSet.from_croco() requires a free-surface field 'Zeta' for 3D CROCO fields")
+            if "Cs_w" not in variables:
+                raise ValueError(
+                    "FieldSet.from_croco() requires the S-coordinate stretching curves at W-points 'Cs_w' for 3D CROCO fields"
+                )
 
         interp_method = {}
         for v in variables:
@@ -776,6 +789,10 @@ def from_croco(
             gridindexingtype="croco",
             **kwargs,
         )
+        if croco3D:
+            if hc is None:
+                raise ValueError("FieldSet.from_croco() requires the hc parameter for 3D CROCO fields")
+            fieldset.add_constant("hc", hc)
         return fieldset
 
     @classmethod
diff --git a/parcels/include/parcels.h b/parcels/include/parcels.h
index 645cf90fc..91a41e6fe 100644
--- a/parcels/include/parcels.h
+++ b/parcels/include/parcels.h
@@ -1242,6 +1242,33 @@ static inline StatusCode temporal_interpolationUVW(type_coord x, type_coord y, t
   return SUCCESS;
 }
 
+
+static inline double croco_from_z_to_sigma(CField *U, CField *H, CField *Zeta,
+                                           type_coord x, type_coord y, type_coord z, double time,
+                                           int *xi, int *yi, int *zi, int *ti, double hc, float *cs_w)
+{
+  float local_h, local_zeta, z0;
+  int status, zii;
+  CStructuredGrid *grid = U->grid->grid;
+  float *sigma_levels = grid->depth;
+  int zdim = grid->zdim;
+  float zvec[zdim];
+  status = temporal_interpolation(x, y, 0, time, H, xi, yi, zi, ti, &local_h, LINEAR, CROCO); CHECKSTATUS(status);
+  status = temporal_interpolation(x, y, 0, time, Zeta, xi, yi, zi, ti, &local_zeta, LINEAR, CROCO); CHECKSTATUS(status);
+  for (zii = 0; zii < zdim; zii++)  {
+    z0 = hc*sigma_levels[zii] + (local_h - hc) *cs_w[zii];
+    zvec[zii] = z0 + local_zeta * (1 + z0 / local_h);
+  }
+  if (z >= zvec[zdim-1])
+    zii = zdim - 2;
+  else
+    for (zii = 0; zii < zdim-1; zii++)
+      if ((z >= zvec[zii])  && (z < zvec[zii+1]))
+        break;
+
+  return sigma_levels[zii] + (z - zvec[zii]) * (sigma_levels[zii + 1] - sigma_levels[zii]) / (zvec[zii + 1] - zvec[zii]);
+}
+
 #ifdef __cplusplus
 }
 #endif


Test patch:
diff --git a/tests/test_advection.py b/tests/test_advection.py
index 269e41767..c9e441734 100644
--- a/tests/test_advection.py
+++ b/tests/test_advection.py
@@ -195,6 +195,47 @@ def test_advection_RK45(lon, lat, mode, rk45_tol):
     print(fieldset.RK45_tol)
 
 
+def test_conversion_3DCROCO():
+    """Test of the (SciPy) version of the conversion from depth to sigma in CROCO
+
+    Values below are retrieved using xroms and hardcoded in the method (to avoid dependency on xroms):
+    ```py
+    x, y = 10, 20
+    s_xroms = ds.s_w.values
+    z_xroms = ds.z_w.isel(time=0).isel(eta_rho=y).isel(xi_rho=x).values
+    lat, lon = ds.y_rho.values[y, x], ds.x_rho.values[y, x]
+    ```
+    """
+    fieldset = FieldSet.from_modulefile(TEST_DATA / "fieldset_CROCO3D.py")
+
+    lat, lon = 78000.0, 38000.0
+    s_xroms = np.array([-1.0, -0.9, -0.8, -0.7, -0.6, -0.5, -0.4, -0.3, -0.2, -0.1, 0.0], dtype=np.float32)
+    z_xroms = np.array(
+        [
+            -1.26000000e02,
+            -1.10585846e02,
+            -9.60985413e01,
+            -8.24131317e01,
+            -6.94126511e01,
+            -5.69870148e01,
+            -4.50318756e01,
+            -3.34476166e01,
+            -2.21383114e01,
+            -1.10107975e01,
+            2.62768921e-02,
+        ],
+        dtype=np.float32,
+    )
+
+    sigma = np.zeros_like(z_xroms)
+    from parcels.field import _croco_from_z_to_sigma_scipy
+
+    for zi, z in enumerate(z_xroms):
+        sigma[zi] = _croco_from_z_to_sigma_scipy(fieldset, 0, z, lat, lon, None)
+
+    assert np.allclose(sigma, s_xroms, atol=1e-3)
+
+
 @pytest.mark.parametrize("mode", ["scipy", "jit"])
 def test_advection_3DCROCO(mode):
     fieldset = FieldSet.from_modulefile(TEST_DATA / "fieldset_CROCO3D.py")
diff --git a/tests/test_data/fieldset_CROCO3D.py b/tests/test_data/fieldset_CROCO3D.py
index c892b16f5..68592e0ea 100644
--- a/tests/test_data/fieldset_CROCO3D.py
+++ b/tests/test_data/fieldset_CROCO3D.py
@@ -1,5 +1,7 @@
 import os
 
+import xarray as xr
+
 import parcels
 
 
@@ -7,12 +9,14 @@ def create_fieldset(indices=None):
     example_dataset_folder = parcels.download_example_dataset("CROCOidealized_data")
     file = os.path.join(example_dataset_folder, "CROCO_idealized.nc")
 
-    variables = {"U": "u", "V": "v", "W": "w", "H": "h"}
+    variables = {"U": "u", "V": "v", "W": "w", "H": "h", "Zeta": "zeta", "Cs_w": "Cs_w"}
     dimensions = {
         "U": {"lon": "x_rho", "lat": "y_rho", "depth": "s_w", "time": "time"},
         "V": {"lon": "x_rho", "lat": "y_rho", "depth": "s_w", "time": "time"},
         "W": {"lon": "x_rho", "lat": "y_rho", "depth": "s_w", "time": "time"},
         "H": {"lon": "x_rho", "lat": "y_rho"},
+        "Zeta": {"lon": "x_rho", "lat": "y_rho", "time": "time"},
+        "Cs_w": {"depth": "s_w"},
     }
     fieldset = parcels.FieldSet.from_croco(
         file,
@@ -21,6 +25,7 @@ def create_fieldset(indices=None):
         allow_time_extrapolation=True,
         mesh="flat",
         indices=indices,
+        hc=xr.open_dataset(file).hc.values,
     )
 
     return fieldset