Support for CROCO 3D velocities

docs/documentation/index.rst

@@ -22,6 +22,7 @@ Parcels has several documentation and tutorial Jupyter notebooks and scripts whi
    ../examples/documentation_indexing.ipynb
    ../examples/tutorial_nemo_curvilinear.ipynb
    ../examples/tutorial_nemo_3D.ipynb
+   ../examples/tutorial_croco_3D.ipynb
    ../examples/tutorial_NestedFields.ipynb
    ../examples/tutorial_timevaryingdepthdimensions.ipynb
    ../examples/tutorial_periodic_boundaries.ipynb

parcels/_typing.py

@@ -35,7 +35,7 @@ class ParcelsAST(ast.AST):
 )  # corresponds with `interp_method` (which can also be dict mapping field names to method)
 PathLike = str | os.PathLike
 Mesh = Literal["spherical", "flat"]  # corresponds with `mesh`
-VectorType = Literal["3D", "2D"] | None  # corresponds with `vector_type`
+VectorType = Literal["3D", "3DSigma", "2D"] | None  # corresponds with `vector_type`
 ChunkMode = Literal["auto", "specific", "failsafe"]  # corresponds with `chunk_mode`
 GridIndexingType = Literal["pop", "mom5", "mitgcm", "nemo"]  # corresponds with `gridindexingtype`
 UpdateStatus = Literal["not_updated", "first_updated", "updated"]  # corresponds with `_update_status`

parcels/application_kernels/advection.py

@@ -4,7 +4,14 @@
 
 from parcels.tools.statuscodes import StatusCode
 
-__all__ = ["AdvectionRK4", "AdvectionEE", "AdvectionRK45", "AdvectionRK4_3D", "AdvectionAnalytical"]
+__all__ = [
+    "AdvectionRK4",
+    "AdvectionEE",
+    "AdvectionRK45",
+    "AdvectionRK4_3D",
+    "AdvectionAnalytical",
+    "AdvectionRK4_3D_CROCO",
+]
 
 
 def AdvectionRK4(particle, fieldset, time):
@@ -40,6 +47,51 @@
     particle_ddepth += (w1 + 2 * w2 + 2 * w3 + w4) / 6 * particle.dt  # noqa
 
 
+def AdvectionRK4_3D_CROCO(particle, fieldset, time):
+    """Advection of particles using fourth-order Runge-Kutta integration including vertical velocity.
+    This kernel assumes the vertical velocity is the 'w' field from CROCO output and works on sigma-layers.
+    """
+    sig_dep = particle.depth / fieldset.H[time, 0, particle.lat, particle.lon]
+
+    (u1, v1, w1) = fieldset.UVW[time, particle.depth, particle.lat, particle.lon, particle]
+    w1 *= sig_dep / fieldset.H[time, 0, particle.lat, particle.lon]
+    lon1 = particle.lon + u1 * 0.5 * particle.dt
+    lat1 = particle.lat + v1 * 0.5 * particle.dt
+    sig_dep1 = sig_dep + w1 * 0.5 * particle.dt
+    dep1 = sig_dep1 * fieldset.H[time, 0, lat1, lon1]
+
+    (u2, v2, w2) = fieldset.UVW[time + 0.5 * particle.dt, dep1, lat1, lon1, particle]
+    w2 *= sig_dep1 / fieldset.H[time, 0, lat1, lon1]
+    lon2 = particle.lon + u2 * 0.5 * particle.dt
+    lat2 = particle.lat + v2 * 0.5 * particle.dt
+    sig_dep2 = sig_dep + w2 * 0.5 * particle.dt
+    dep2 = sig_dep2 * fieldset.H[time, 0, lat2, lon2]
+
+    (u3, v3, w3) = fieldset.UVW[time + 0.5 * particle.dt, dep2, lat2, lon2, particle]
+    w3 *= sig_dep2 / fieldset.H[time, 0, lat2, lon2]
+    lon3 = particle.lon + u3 * particle.dt
+    lat3 = particle.lat + v3 * particle.dt
+    sig_dep3 = sig_dep + w3 * particle.dt
+    dep3 = sig_dep3 * fieldset.H[time, 0, lat3, lon3]
+
+    (u4, v4, w4) = fieldset.UVW[time + particle.dt, dep3, lat3, lon3, particle]
+    w4 *= sig_dep3 / fieldset.H[time, 0, lat3, lon3]
+    lon4 = particle.lon + u4 * particle.dt
+    lat4 = particle.lat + v4 * particle.dt
+    sig_dep4 = sig_dep + w4 * particle.dt
+    dep4 = sig_dep4 * fieldset.H[time, 0, lat4, lon4]
+
+    particle_dlon += (u1 + 2 * u2 + 2 * u3 + u4) / 6 * particle.dt  # noqa
+    particle_dlat += (v1 + 2 * v2 + 2 * v3 + v4) / 6 * particle.dt  # noqa
+    particle_ddepth += (  # noqa
+        (dep1 - particle.depth) * 2
+        + 2 * (dep2 - particle.depth) * 2
+        + 2 * (dep3 - particle.depth)
+        + dep4
+        - particle.depth
+    ) / 6
+
+
 def AdvectionEE(particle, fieldset, time):
     """Advection of particles using Explicit Euler (aka Euler Forward) integration."""
     (u1, v1) = fieldset.UV[particle]

parcels/compilation/codegenerator.py

@@ -80,12 +80,13 @@
 
 
 class VectorFieldEvalNode(IntrinsicNode):
-    def __init__(self, field, args, var, var2, var3, convert=True):
+    def __init__(self, field, args, var, var2, var3, var4, convert=True):
         self.field = field
         self.args = args
         self.var = var  # the variable in which the interpolated field is written
         self.var2 = var2  # second variable for UV interpolation
         self.var3 = var3  # third variable for UVW interpolation
+        self.var4 = var4  # extra variable for sigma-scaling for croco
         self.convert = convert  # whether to convert the result (like field.applyConversion)
 
 
@@ -107,12 +108,13 @@
 
 
 class NestedVectorFieldEvalNode(IntrinsicNode):
-    def __init__(self, fields, args, var, var2, var3):
+    def __init__(self, fields, args, var, var2, var3, var4):
         self.fields = fields
         self.args = args
         self.var = var  # the variable in which the interpolated field is written
         self.var2 = var2  # second variable for UV interpolation
         self.var3 = var3  # third variable for UVW interpolation
+        self.var4 = var4  # extra variable for sigma-scaling for croco
 
 
 class GridNode(IntrinsicNode):
@@ -285,9 +287,10 @@
         elif isinstance(node.value, VectorFieldNode):
             tmp = self.get_tmp()
             tmp2 = self.get_tmp()
-            tmp3 = self.get_tmp() if node.value.obj.vector_type == "3D" else None
+            tmp3 = self.get_tmp() if "3D" in node.value.obj.vector_type else None
+            tmp4 = self.get_tmp() if "3DSigma" in node.value.obj.vector_type else None
             # Insert placeholder node for field eval ...
-            self.stmt_stack += [VectorFieldEvalNode(node.value, node.slice, tmp, tmp2, tmp3)]
+            self.stmt_stack += [VectorFieldEvalNode(node.value, node.slice, tmp, tmp2, tmp3, tmp4)]
             # .. and return the name of the temporary that will be populated
             if tmp3:
                 return ast.Tuple([ast.Name(id=tmp), ast.Name(id=tmp2), ast.Name(id=tmp3)], ast.Load())
@@ -300,8 +303,9 @@
         elif isinstance(node.value, NestedVectorFieldNode):
             tmp = self.get_tmp()
             tmp2 = self.get_tmp()
-            tmp3 = self.get_tmp() if list.__getitem__(node.value.obj, 0).vector_type == "3D" else None
-            self.stmt_stack += [NestedVectorFieldEvalNode(node.value, node.slice, tmp, tmp2, tmp3)]
+            tmp3 = self.get_tmp() if "3D" in list.__getitem__(node.value.obj, 0).vector_type else None
+            tmp4 = self.get_tmp() if "3DSigma" in list.__getitem__(node.value.obj, 0).vector_type else None
+            self.stmt_stack += [NestedVectorFieldEvalNode(node.value, node.slice, tmp, tmp2, tmp3, tmp4)]
             if tmp3:
                 return ast.Tuple([ast.Name(id=tmp), ast.Name(id=tmp2), ast.Name(id=tmp3)], ast.Load())
             else:
@@ -371,7 +375,8 @@
             # get a temporary value to assign result to
             tmp1 = self.get_tmp()
             tmp2 = self.get_tmp()
-            tmp3 = self.get_tmp() if node.func.field.obj.vector_type == "3D" else None
+            tmp3 = self.get_tmp() if "3D" in node.func.field.obj.vector_type else None
+            tmp4 = self.get_tmp() if "3DSigma" in node.func.field.obj.vector_type else None
             # whether to convert
             convert = True
             if "applyConversion" in node.keywords:
@@ -382,7 +387,7 @@
             # convert args to Index(Tuple(*args))
             args = ast.Index(value=ast.Tuple(node.args, ast.Load()))
 
-            self.stmt_stack += [VectorFieldEvalNode(node.func.field, args, tmp1, tmp2, tmp3, convert)]
+            self.stmt_stack += [VectorFieldEvalNode(node.func.field, args, tmp1, tmp2, tmp3, tmp4, convert)]
             if tmp3:
                 return ast.Tuple([ast.Name(id=tmp1), ast.Name(id=tmp2), ast.Name(id=tmp3)], ast.Load())
             else:
@@ -421,6 +426,8 @@
         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()
 
@@ -456,7 +463,7 @@
         for kvar in self.kernel_vars + self.array_vars:
             if kvar in funcvars:
                 funcvars.remove(kvar)
-        self.ccode.body.insert(0, c.Value("int", "parcels_interp_state"))
+        self.ccode.body.insert(0, c.Statement("int parcels_interp_state = 0"))
         if len(funcvars) > 0:
             for f in funcvars:
                 self.ccode.body.insert(0, c.Statement(f"type_coord {f} = 0"))
@@ -819,6 +826,16 @@
         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":  # TODO needs to be sigma
+            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}"))
+            args = (args[0], node.var, args[2], args[3])
         ccode_eval = node.field.obj._ccode_eval(node.var, *args)
         stmts = [
             c.Assign("parcels_interp_state", ccode_eval),
@@ -830,12 +847,22 @@
             conv_stat = c.Statement(f"{node.var} *= {ccode_conv}")
             stmts += [conv_stat]
 
-        node.ccode = c.Block(stmts + [c.Statement("CHECKSTATUS_KERNELLOOP(parcels_interp_state)")])
+        node.ccode = c.Block(statements_croco + stmts + [c.Statement("CHECKSTATUS_KERNELLOOP(parcels_interp_state)")])
 
     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}"))
+            args = (args[0], node.var4, args[2], args[3])
         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
         )
@@ -845,12 +872,13 @@
             statements = [c.Statement(f"{node.var} *= {ccode_conv1}"), c.Statement(f"{node.var2} *= {ccode_conv2}")]
         else:
             statements = []
-        if node.convert and node.field.obj.vector_type == "3D":
+        if node.convert and "3D" in node.field.obj.vector_type:
             ccode_conv3 = node.field.obj.W._ccode_convert(*args)
             statements.append(c.Statement(f"{node.var3} *= {ccode_conv3}"))
         conv_stat = c.Block(statements)
         node.ccode = c.Block(
             [
+                c.Block(statements_croco),
                 c.Assign("parcels_interp_state", ccode_eval),
                 c.Assign("particles->state[pnum]", "max(particles->state[pnum], parcels_interp_state)"),
                 conv_stat,
@@ -891,7 +919,7 @@
                 statements = [c.Statement(f"{node.var} *= {ccode_conv1}"), c.Statement(f"{node.var2} *= {ccode_conv2}")]
             else:
                 statements = []
-            if fld.vector_type == "3D":
+            if "3D" in fld.vector_type:
                 ccode_conv3 = fld.W._ccode_convert(*args)
                 statements.append(c.Statement(f"{node.var3} *= {ccode_conv3}"))
             cstat += [