examplefield.py

from .cfdmimplementation import implementation
from .functions import CF

_implementation = implementation()

# The number of example fields
_n_example_fields = 12


def example_field(n, _implementation=_implementation):
    """Return an example field construct.

    .. versionadded:: (cfdm) 1.8.0

    .. seealso:: `cfdm.example_fields`, `cfdm.example_domain`

    :Parameters:

        n: `int`
            Select the example field construct to return, one of:

            ======  ==================================================
            *n*     Field construct description
            ======  ==================================================
            ``0``   Cell method and dimension coordinate metadata
                    constructs.

            ``1``   Cell method, dimension coordinate, auxiliary
                    coordinate, cell measure, coordinate reference,
                    domain ancillary and field ancillary metadata
                    constructs.

            ``2``   A monthly time series at each latitude-longitude
                    location.

            ``3``   Discrete sampling geometry (DSG) "timeSeries"
                    features.

            ``4``   Discrete sampling geometry (DSG)
                    "timeSeriesProfile" features.

            ``5``   A 12 hourly time series at each latitude-longitude
                    location.

            ``6``   Polygon geometry coordinate cells with interior
                    ring variables.

            ``7``   Rotated pole dimension coordinate constructs and
                    2-d latitude and longitude auxiliary coordinate
                    constructs.

            ``8``   A UGRID mesh topology of face cells.

            ``9``   A UGRID mesh topology of edge cells.

            ``10``  A UGRID mesh topology of point cells.

            ``11``  Discrete sampling geometry (DSG) "trajectory"
                    features.
            ======  ==================================================

            See the examples for details.

        _implementation: (subclass of) `CFDMImplementation`, optional
            Define the CF data model implementation that provides the
            returned field constructs.

    :Returns:

        `Field`
            The example field construct.

    **Examples**

    >>> f = cfdm.example_field(0)
    >>> print(f)
    Field: specific_humidity (ncvar%q)
    ----------------------------------
    Data            : specific_humidity(latitude(5), longitude(8)) 1
    Cell methods    : area: mean
    Dimension coords: latitude(5) = [-75.0, ..., 75.0] degrees_north
                    : longitude(8) = [22.5, ..., 337.5] degrees_east
                    : time(1) = [2019-01-01 00:00:00]
    >>> print(f.data.array)
    [[0.007 0.034 0.003 0.014 0.018 0.037 0.024 0.029]
     [0.023 0.036 0.045 0.062 0.046 0.073 0.006 0.066]
     [0.11  0.131 0.124 0.146 0.087 0.103 0.057 0.011]
     [0.029 0.059 0.039 0.07  0.058 0.072 0.009 0.017]
     [0.006 0.036 0.019 0.035 0.018 0.037 0.034 0.013]]

    >>> f = cfdm.example_field(1)
    >>> print(f)
    Field: air_temperature (ncvar%ta)
    ---------------------------------
    Data            : air_temperature(atmosphere_hybrid_height_coordinate(1), grid_latitude(10), grid_longitude(9)) K
    Cell methods    : grid_latitude(10): grid_longitude(9): mean where land (interval: 0.1 degrees) time(1): maximum
    Field ancils    : air_temperature standard_error(grid_latitude(10), grid_longitude(9)) = [[0.76, ..., 0.32]] K
    Dimension coords: atmosphere_hybrid_height_coordinate(1) = [1.5]
                    : grid_latitude(10) = [2.2, ..., -1.76] degrees
                    : grid_longitude(9) = [-4.7, ..., -1.18] degrees
                    : time(1) = [2019-01-01 00:00:00]
    Auxiliary coords: latitude(grid_latitude(10), grid_longitude(9)) = [[53.941, ..., 50.225]] degrees_N
                    : longitude(grid_longitude(9), grid_latitude(10)) = [[2.004, ..., 8.156]] degrees_E
                    : long_name=Grid latitude name(grid_latitude(10)) = [--, ..., kappa]
    Cell measures   : measure:area(grid_longitude(9), grid_latitude(10)) = [[2391.9657, ..., 2392.6009]] km2
    Coord references: grid_mapping_name:rotated_latitude_longitude
                    : standard_name:atmosphere_hybrid_height_coordinate
    Domain ancils   : ncvar%a(atmosphere_hybrid_height_coordinate(1)) = [10.0] m
                    : ncvar%b(atmosphere_hybrid_height_coordinate(1)) = [20.0]
                    : surface_altitude(grid_latitude(10), grid_longitude(9)) = [[0.0, ..., 270.0]] m

    >>> f = cfdm.example_field(2)
    >>> print(f)
    Field: air_potential_temperature (ncvar%air_potential_temperature)
    ------------------------------------------------------------------
    Data            : air_potential_temperature(time(36), latitude(5), longitude(8)) K
    Cell methods    : area: mean
    Dimension coords: time(36) = [1959-12-16 12:00:00, ..., 1962-11-16 00:00:00]
                    : latitude(5) = [-75.0, ..., 75.0] degrees_north
                    : longitude(8) = [22.5, ..., 337.5] degrees_east
                    : air_pressure(1) = [850.0] hPa

    >>> f = cfdm.example_field(3)
    >>> print(f)
    Field: precipitation_flux (ncvar%p)
    -----------------------------------
    Data            : precipitation_flux(cf_role=timeseries_id(4), ncdim%timeseries(9)) kg m-2 day-1
    Auxiliary coords: time(cf_role=timeseries_id(4), ncdim%timeseries(9)) = [[1969-12-29 00:00:00, ..., 1970-01-07 00:00:00]]
                    : latitude(cf_role=timeseries_id(4)) = [-9.0, ..., 78.0] degrees_north
                    : longitude(cf_role=timeseries_id(4)) = [-23.0, ..., 178.0] degrees_east
                    : height(cf_role=timeseries_id(4)) = [0.5, ..., 345.0] m
                    : cf_role=timeseries_id(cf_role=timeseries_id(4)) = [station1, ..., station4]
                    : long_name=station information(cf_role=timeseries_id(4)) = [-10, ..., -7]

    >>> f = cfdm.example_field(4)
    >>> print(f)
    Field: air_temperature (ncvar%ta)
    ---------------------------------
    Data            : air_temperature(cf_role=timeseries_id(3), ncdim%timeseries(26), ncdim%profile_1(4)) K
    Auxiliary coords: time(cf_role=timeseries_id(3), ncdim%timeseries(26)) = [[1970-01-04 00:00:00, ..., --]]
                    : latitude(cf_role=timeseries_id(3)) = [-9.0, 2.0, 34.0] degrees_north
                    : longitude(cf_role=timeseries_id(3)) = [-23.0, 0.0, 67.0] degrees_east
                    : height(cf_role=timeseries_id(3)) = [0.5, 12.6, 23.7] m
                    : altitude(cf_role=timeseries_id(3), ncdim%timeseries(26), ncdim%profile_1(4)) = [[[2.07, ..., --]]] km
                    : cf_role=timeseries_id(cf_role=timeseries_id(3)) = [station1, station2, station3]
                    : long_name=station information(cf_role=timeseries_id(3)) = [-10, -9, -8]
                    : cf_role=profile_id(cf_role=timeseries_id(3), ncdim%timeseries(26)) = [[102, ..., --]]

    >>> f = cfdm.example_field(5)
    >>> print(f)
    Field: air_potential_temperature (ncvar%air_potential_temperature)
    ------------------------------------------------------------------
    Data            : air_potential_temperature(time(118), latitude(5), longitude(8)) K
    Cell methods    : area: mean
    Dimension coords: time(118) = [1959-01-01 06:00:00, ..., 1959-02-28 18:00:00]
                    : latitude(5) = [-75.0, ..., 75.0] degrees_north
                    : longitude(8) = [22.5, ..., 337.5] degrees_east
                    : air_pressure(1) = [850.0] hPa

    >>> f = cfdm.example_field(6)
    >>> print(f)
    Field: precipitation_amount (ncvar%pr)
    --------------------------------------
    Data            : precipitation_amount(cf_role=timeseries_id(2), time(4))
    Dimension coords: time(4) = [2000-01-16 12:00:00, ..., 2000-04-15 00:00:00]
    Auxiliary coords: latitude(cf_role=timeseries_id(2)) = [25.0, 7.0] degrees_north
                    : longitude(cf_role=timeseries_id(2)) = [10.0, 40.0] degrees_east
                    : cf_role=timeseries_id(cf_role=timeseries_id(2)) = [x1, y2]
                    : ncvar%z(cf_role=timeseries_id(2), 3, 4) = [[[1.0, ..., --]]] m
    Coord references: grid_mapping_name:latitude_longitude

    >>> f = cfdm.example_field(7)
    >>> print(f)
    Field: eastward_wind (ncvar%ua)
    -------------------------------
    Data            : eastward_wind(time(3), air_pressure(1), grid_latitude(4), grid_longitude(5)) m s-1
    Cell methods    : time(3): mean
    Dimension coords: time(3) = [1979-05-01 12:00:00, 1979-05-02 12:00:00, 1979-05-03 12:00:00] gregorian
                    : air_pressure(1) = [850.0] hPa
                    : grid_latitude(4) = [0.44, ..., -0.88] degrees
                    : grid_longitude(5) = [-1.18, ..., 0.58] degrees
    Auxiliary coords: latitude(grid_latitude(4), grid_longitude(5)) = [[52.4243, ..., 51.1163]] degrees_north
                    : longitude(grid_latitude(4), grid_longitude(5)) = [[8.0648, ..., 10.9238]] degrees_east
    Coord references: grid_mapping_name:rotated_latitude_longitude

    >>> f = cfdm.example_field(8)
    >>> print(f)
    Field: air_temperature (ncvar%ta)
    ---------------------------------
    Data            : air_temperature(time(2), ncdim%nMesh2_face(3)) K
    Cell methods    : time(2): point (interval: 3600 s)
    Dimension coords: time(2) = [2016-01-02 01:00:00, 2016-01-02 11:00:00] gregorian
    Auxiliary coords: longitude(ncdim%nMesh2_face(3)) = [-44.0, -44.0, -42.0] degrees_east
                    : latitude(ncdim%nMesh2_face(3)) = [34.0, 34.0, 34.0] degrees_north
    Domain Topology : cell:face(ncdim%nMesh2_face(3), 4) = [[2, ..., --]]
    Cell connects   : connectivity:edge(ncdim%nMesh2_face(3), 5) = [[0, ..., --]]

    >>> f = cfdm.example_field(9)
    >>> print(f)
    Field: northward_wind (ncvar%v)
    -------------------------------
    Data            : northward_wind(time(2), ncdim%nMesh2_face(3)) ms-1
    Cell methods    : time(2): point (interval: 3600 s)
    Dimension coords: time(2) = [2016-01-02 01:00:00, 2016-01-02 11:00:00] gregorian
    Auxiliary coords: longitude(ncdim%nMesh2_face(3)) = [-44.0, -44.0, -42.0] degrees_east
                    : latitude(ncdim%nMesh2_face(3)) = [34.0, 34.0, 34.0] degrees_north
    Domain Topology : cell:face(ncdim%nMesh2_face(3), 4) = [[2, ..., --]]
    Cell connects   : connectivity:edge(ncdim%nMesh2_face(3), 5) = [[0, ..., --]]

    >>> print(cfdm.example_field(10))
    Field: air_pressure (ncvar%pa)
    ------------------------------
    Data            : air_pressure(time(2), ncdim%nMesh2_node(7)) hPa
    Cell methods    : time(2): point (interval: 3600 s)
    Dimension coords: time(2) = [2016-01-02 01:00:00, 2016-01-02 11:00:00] gregorian
    Auxiliary coords: longitude(ncdim%nMesh2_node(7)) = [-45.0, ..., -40.0] degrees_east
                    : latitude(ncdim%nMesh2_node(7)) = [35.0, ..., 34.0] degrees_north
    Topologies      : cell:point(ncdim%nMesh2_node(7), 5) = [[0, ..., --]]

    >>> print(cfdm.example_field(11))
    Field: mole_fraction_of_ozone_in_air (ncvar%O3)
    -----------------------------------------------
    Data            : mole_fraction_of_ozone_in_air(cf_role=trajectory_id(1), ncdim%trajectory(4)) ppb
    Auxiliary coords: time(cf_role=trajectory_id(1), ncdim%trajectory(4)) = [[2024-02-26 09:01:00, ..., 2024-02-26 09:04:00]] standard
                    : altitude(cf_role=trajectory_id(1), ncdim%trajectory(4)) = [[2577.0, ..., 2563.0]] m
                    : air_pressure(cf_role=trajectory_id(1), ncdim%trajectory(4)) = [[751.0, ..., 780.0]] hPa
                    : latitude(cf_role=trajectory_id(1), ncdim%trajectory(4)) = [[52.0, ..., 52.2]] degree_north
                    : longitude(cf_role=trajectory_id(1), ncdim%trajectory(4)) = [[0.0, ..., 0.31]] degree_east
                    : cf_role=trajectory_id(cf_role=trajectory_id(1)) = [flight1]

    """
    # For safety given the private second argument which we might not
    # document, otherwise a user gets an obscure error if they tried, say:
    # >>> cfdm.example_field(2, 3)
    # AttributeError: 'int' object has no attribute 'get_class'
    if isinstance(_implementation, int):
        raise ValueError(
            "Only one example construct can be returned at a time. "
            "Provide a single integer argument only. "
            "Use the 'example_fields' function to return multiple fields."
        )

    AuxiliaryCoordinate = _implementation.get_class("AuxiliaryCoordinate")
    CellConnectivity = _implementation.get_class("CellConnectivity")
    CellMeasure = _implementation.get_class("CellMeasure")
    CellMethod = _implementation.get_class("CellMethod")
    CoordinateReference = _implementation.get_class("CoordinateReference")
    DimensionCoordinate = _implementation.get_class("DimensionCoordinate")
    DomainAncillary = _implementation.get_class("DomainAncillary")
    DomainAxis = _implementation.get_class("DomainAxis")
    DomainTopology = _implementation.get_class("DomainTopology")
    FieldAncillary = _implementation.get_class("FieldAncillary")
    Field = _implementation.get_class("Field")

    Bounds = _implementation.get_class("Bounds")
    InteriorRing = _implementation.get_class("InteriorRing")

    Data = _implementation.get_class("Data")

    mesh_id = "f51e5aa5e2b0439f9fae4f04e51556f7"

    if n == 0:
        f = Field()

        f.set_properties(
            {
                "Conventions": f"CF-{CF()}",
                "project": "research",
                "standard_name": "specific_humidity",
                "units": "1",
            }
        )
        f.nc_set_variable("q")

        c = DomainAxis(size=5)
        c.nc_set_dimension("lat")
        f.set_construct(c, key="domainaxis0")
        c = DomainAxis(size=8)
        c.nc_set_dimension("lon")
        f.set_construct(c, key="domainaxis1")
        c = DomainAxis(size=1)
        f.set_construct(c, key="domainaxis2")

        data = Data(
            [
                [0.007, 0.034, 0.003, 0.014, 0.018, 0.037, 0.024, 0.029],
                [0.023, 0.036, 0.045, 0.062, 0.046, 0.073, 0.006, 0.066],
                [0.11, 0.131, 0.124, 0.146, 0.087, 0.103, 0.057, 0.011],
                [0.029, 0.059, 0.039, 0.07, 0.058, 0.072, 0.009, 0.017],
                [0.006, 0.036, 0.019, 0.035, 0.018, 0.037, 0.034, 0.013],
            ],
            units="1",
            dtype="f8",
        )
        f.set_data(data, axes=("domainaxis0", "domainaxis1"))

        # dimension_coordinate
        c = DimensionCoordinate()
        c.set_properties(
            {"units": "degrees_north", "standard_name": "latitude"}
        )
        c.nc_set_variable("lat")
        data = Data(
            [-75.0, -45.0, 0.0, 45.0, 75.0], units="degrees_north", dtype="f8"
        )
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("lat_bnds")
        data = Data(
            [
                [-90.0, -60.0],
                [-60.0, -30.0],
                [-30.0, 30.0],
                [30.0, 60.0],
                [60.0, 90.0],
            ],
            units="degrees_north",
            dtype="f8",
        )
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis0",), key="dimensioncoordinate0", copy=False
        )

        # dimension_coordinate
        c = DimensionCoordinate()
        c.set_properties(
            {"units": "degrees_east", "standard_name": "longitude"}
        )
        c.nc_set_variable("lon")
        data = Data(
            [22.5, 67.5, 112.5, 157.5, 202.5, 247.5, 292.5, 337.5],
            units="degrees_east",
            dtype="f8",
        )
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("lon_bnds")
        data = Data(
            [
                [0.0, 45.0],
                [45.0, 90.0],
                [90.0, 135.0],
                [135.0, 180.0],
                [180.0, 225.0],
                [225.0, 270.0],
                [270.0, 315.0],
                [315.0, 360.0],
            ],
            units="degrees_east",
            dtype="f8",
        )
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis1",), key="dimensioncoordinate1", copy=False
        )

        # dimension_coordinate
        c = DimensionCoordinate()
        c.set_properties(
            {"units": "days since 2018-12-01", "standard_name": "time"}
        )
        c.nc_set_variable("time")
        data = Data([31.0], units="days since 2018-12-01", dtype="f8")
        c.set_data(data)
        f.set_construct(
            c, axes=("domainaxis2",), key="dimensioncoordinate2", copy=False
        )

        # cell_method
        c = CellMethod()
        c.set_method("mean")
        c.set_axes("area")
        f.set_construct(c)

    elif n == 1:
        f = Field()

        f.set_properties(
            {
                "Conventions": f"CF-{CF()}",
                "project": "research",
                "standard_name": "air_temperature",
                "units": "K",
            }
        )
        f.nc_set_variable("ta")

        c = DomainAxis(size=1)
        c.nc_set_dimension("atmosphere_hybrid_height_coordinate")
        f.set_construct(c, key="domainaxis0")
        c = DomainAxis(size=10)
        c.nc_set_dimension("y")
        f.set_construct(c, key="domainaxis1")
        c = DomainAxis(size=9)
        c.nc_set_dimension("x")
        f.set_construct(c, key="domainaxis2")
        c = DomainAxis(size=1)
        f.set_construct(c, key="domainaxis3")

        data = Data(
            [
                [
                    [
                        262.8,
                        270.5,
                        279.8,
                        269.5,
                        260.9,
                        265.0,
                        263.5,
                        278.9,
                        269.2,
                    ],
                    [
                        272.7,
                        268.4,
                        279.5,
                        278.9,
                        263.8,
                        263.3,
                        274.2,
                        265.7,
                        279.5,
                    ],
                    [
                        269.7,
                        279.1,
                        273.4,
                        274.2,
                        279.6,
                        270.2,
                        280.0,
                        272.5,
                        263.7,
                    ],
                    [
                        261.7,
                        260.6,
                        270.8,
                        260.3,
                        265.6,
                        279.4,
                        276.9,
                        267.6,
                        260.6,
                    ],
                    [
                        264.2,
                        275.9,
                        262.5,
                        264.9,
                        264.7,
                        270.2,
                        270.4,
                        268.6,
                        275.3,
                    ],
                    [
                        263.9,
                        263.8,
                        272.1,
                        263.7,
                        272.2,
                        264.2,
                        260.0,
                        263.5,
                        270.2,
                    ],
                    [
                        273.8,
                        273.1,
                        268.5,
                        272.3,
                        264.3,
                        278.7,
                        270.6,
                        273.0,
                        270.6,
                    ],
                    [
                        267.9,
                        273.5,
                        279.8,
                        260.3,
                        261.2,
                        275.3,
                        271.2,
                        260.8,
                        268.9,
                    ],
                    [
                        270.9,
                        278.7,
                        273.2,
                        261.7,
                        271.6,
                        265.8,
                        273.0,
                        278.5,
                        266.4,
                    ],
                    [
                        276.4,
                        264.2,
                        276.3,
                        266.1,
                        276.1,
                        268.1,
                        277.0,
                        273.4,
                        269.7,
                    ],
                ]
            ],
            units="K",
            dtype="f8",
        )
        f.set_data(data, axes=("domainaxis0", "domainaxis1", "domainaxis2"))

        # domain_ancillary
        c = DomainAncillary()
        c.set_properties(
            {
                "units": "m",
                "computed_standard_name": "altitude",
                "standard_name": "atmosphere_hybrid_height_coordinate",
            }
        )
        c.nc_set_variable("a")
        data = Data([20.0], units="m", dtype="f8")
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("a_bounds")
        data = Data([[0, 36.6666717529297]], units="m", dtype="f8")
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis0",), key="domainancillary0", copy=False
        )

        # domain_ancillary
        c = DomainAncillary()
        c.nc_set_variable("b")
        data = Data([0.997741281986237], dtype="f8")
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("b_bounds")
        data = Data([[1, 0.995860934257507]], dtype="f8")
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis0",), key="domainancillary1", copy=False
        )

        # domain_ancillary
        c = DomainAncillary()
        c.set_properties({"units": "m", "standard_name": "surface_altitude"})
        c.nc_set_variable("surface_altitude")
        data = Data(
            [
                [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
                [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
                [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
                [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 5.0, 12.0, 10.0],
                [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 17.0, 52.0, 40.0],
                [0.0, 0.0, 0.0, 7.0, 12.0, 8.0, 37.0, 73.0, 107.0],
                [0.0, 0.0, 28.0, 30.0, 30.0, 30.0, 83.0, 102.0, 164.0],
                [34.0, 38.0, 34.0, 32.0, 30.0, 31.0, 105.0, 281.0, 370.0],
                [91.0, 89.0, 95.0, 94.0, 132.0, 194.0, 154.0, 318.0, 357.0],
                [93.0, 114.0, 116.0, 178.0, 323.0, 365.0, 307.0, 289.0, 270.0],
            ],
            units="m",
            dtype="f4",
        )
        c.set_data(data)
        f.set_construct(
            c,
            axes=("domainaxis1", "domainaxis2"),
            key="domainancillary2",
            copy=False,
        )

        # cell_measure
        c = CellMeasure()
        c.set_properties({"units": "km2"})
        c.nc_set_variable("cell_measure")
        data = Data(
            [
                [
                    2391.9657,
                    2391.9657,
                    2391.9657,
                    2391.9657,
                    2391.9657,
                    2391.9657,
                    2391.9657,
                    2391.9657,
                    2391.9657,
                    2392.6009,
                ],
                [
                    2392.6009,
                    2392.6009,
                    2392.6009,
                    2392.6009,
                    2392.6009,
                    2392.6009,
                    2392.6009,
                    2392.6009,
                    2393.0949,
                    2393.0949,
                ],
                [
                    2393.0949,
                    2393.0949,
                    2393.0949,
                    2393.0949,
                    2393.0949,
                    2393.0949,
                    2393.0949,
                    2393.4478,
                    2393.4478,
                    2393.4478,
                ],
                [
                    2393.4478,
                    2393.4478,
                    2393.4478,
                    2393.4478,
                    2393.4478,
                    2393.4478,
                    2393.6595,
                    2393.6595,
                    2393.6595,
                    2393.6595,
                ],
                [
                    2393.6595,
                    2393.6595,
                    2393.6595,
                    2393.6595,
                    2393.6595,
                    2393.7301,
                    2393.7301,
                    2393.7301,
                    2393.7301,
                    2393.7301,
                ],
                [
                    2393.7301,
                    2393.7301,
                    2393.7301,
                    2393.7301,
                    2393.6595,
                    2393.6595,
                    2393.6595,
                    2393.6595,
                    2393.6595,
                    2393.6595,
                ],
                [
                    2393.6595,
                    2393.6595,
                    2393.6595,
                    2393.4478,
                    2393.4478,
                    2393.4478,
                    2393.4478,
                    2393.4478,
                    2393.4478,
                    2393.4478,
                ],
                [
                    2393.4478,
                    2393.4478,
                    2393.0949,
                    2393.0949,
                    2393.0949,
                    2393.0949,
                    2393.0949,
                    2393.0949,
                    2393.0949,
                    2393.0949,
                ],
                [
                    2393.0949,
                    2392.6009,
                    2392.6009,
                    2392.6009,
                    2392.6009,
                    2392.6009,
                    2392.6009,
                    2392.6009,
                    2392.6009,
                    2392.6009,
                ],
            ],
            units="km2",
            dtype="f8",
        )
        c.set_data(data)
        c.set_measure("area")
        f.set_construct(
            c,
            axes=("domainaxis2", "domainaxis1"),
            key="cellmeasure0",
            copy=False,
        )

        # auxiliary_coordinate
        c = AuxiliaryCoordinate()
        c.set_properties({"units": "degrees_N", "standard_name": "latitude"})
        c.nc_set_variable("latitude_1")
        data = Data(
            [
                [
                    53.941,
                    53.987,
                    54.029,
                    54.066,
                    54.099,
                    54.127,
                    54.15,
                    54.169,
                    54.184,
                ],
                [
                    53.504,
                    53.55,
                    53.591,
                    53.627,
                    53.66,
                    53.687,
                    53.711,
                    53.729,
                    53.744,
                ],
                [
                    53.067,
                    53.112,
                    53.152,
                    53.189,
                    53.221,
                    53.248,
                    53.271,
                    53.29,
                    53.304,
                ],
                [
                    52.629,
                    52.674,
                    52.714,
                    52.75,
                    52.782,
                    52.809,
                    52.832,
                    52.85,
                    52.864,
                ],
                [
                    52.192,
                    52.236,
                    52.276,
                    52.311,
                    52.343,
                    52.37,
                    52.392,
                    52.41,
                    52.424,
                ],
                [
                    51.754,
                    51.798,
                    51.837,
                    51.873,
                    51.904,
                    51.93,
                    51.953,
                    51.971,
                    51.984,
                ],
                [
                    51.316,
                    51.36,
                    51.399,
                    51.434,
                    51.465,
                    51.491,
                    51.513,
                    51.531,
                    51.545,
                ],
                [
                    50.879,
                    50.922,
                    50.96,
                    50.995,
                    51.025,
                    51.052,
                    51.074,
                    51.091,
                    51.105,
                ],
                [
                    50.441,
                    50.484,
                    50.522,
                    50.556,
                    50.586,
                    50.612,
                    50.634,
                    50.652,
                    50.665,
                ],
                [
                    50.003,
                    50.045,
                    50.083,
                    50.117,
                    50.147,
                    50.173,
                    50.194,
                    50.212,
                    50.225,
                ],
            ],
            units="degrees_N",
            dtype="f8",
        )
        c.set_data(data)
        f.set_construct(
            c,
            axes=("domainaxis1", "domainaxis2"),
            key="auxiliarycoordinate0",
            copy=False,
        )

        # auxiliary_coordinate
        c = AuxiliaryCoordinate()
        c.set_properties({"units": "degrees_E", "standard_name": "longitude"})
        c.nc_set_variable("longitude_1")
        data = Data(
            [
                [
                    2.004,
                    2.747,
                    3.492,
                    4.238,
                    4.986,
                    5.734,
                    6.484,
                    7.234,
                    7.985,
                    2.085,
                ],
                [
                    2.821,
                    3.558,
                    4.297,
                    5.037,
                    5.778,
                    6.52,
                    7.262,
                    8.005,
                    2.165,
                    2.893,
                ],
                [
                    3.623,
                    4.355,
                    5.087,
                    5.821,
                    6.555,
                    7.29,
                    8.026,
                    2.243,
                    2.964,
                    3.687,
                ],
                [
                    4.411,
                    5.136,
                    5.862,
                    6.589,
                    7.317,
                    8.045,
                    2.319,
                    3.033,
                    3.749,
                    4.466,
                ],
                [
                    5.184,
                    5.903,
                    6.623,
                    7.344,
                    8.065,
                    2.394,
                    3.101,
                    3.81,
                    4.52,
                    5.231,
                ],
                [
                    5.944,
                    6.656,
                    7.37,
                    8.084,
                    2.467,
                    3.168,
                    3.87,
                    4.573,
                    5.278,
                    5.983,
                ],
                [
                    6.689,
                    7.395,
                    8.102,
                    2.539,
                    3.233,
                    3.929,
                    4.626,
                    5.323,
                    6.022,
                    6.721,
                ],
                [
                    7.42,
                    8.121,
                    2.61,
                    3.298,
                    3.987,
                    4.677,
                    5.368,
                    6.059,
                    6.752,
                    7.445,
                ],
                [
                    8.139,
                    2.679,
                    3.361,
                    4.043,
                    4.727,
                    5.411,
                    6.097,
                    6.783,
                    7.469,
                    8.156,
                ],
            ],
            units="degrees_E",
            dtype="f8",
        )
        c.set_data(data)
        f.set_construct(
            c,
            axes=("domainaxis2", "domainaxis1"),
            key="auxiliarycoordinate1",
            copy=False,
        )

        # auxiliary_coordinate
        c = AuxiliaryCoordinate()
        c.set_properties({"long_name": "Grid latitude name"})
        c.nc_set_variable("auxiliary")
        data_mask = Data(
            [
                True,
                False,
                False,
                False,
                False,
                False,
                False,
                False,
                False,
                False,
            ],
            dtype="b1",
        )
        data = Data(
            [
                "",
                "beta",
                "gamma",
                "delta",
                "epsilon",
                "zeta",
                "eta",
                "theta",
                "iota",
                "kappa",
            ],
            mask=data_mask,
        )
        c.set_data(data)
        f.set_construct(
            c, axes=("domainaxis1",), key="auxiliarycoordinate2", copy=False
        )

        # dimension_coordinate
        c = DimensionCoordinate()
        c.set_properties(
            {
                "units": "m",
                "computed_standard_name": "altitude",
                "standard_name": "atmosphere_hybrid_height_coordinate",
            }
        )
        c.nc_set_variable("atmosphere_hybrid_height_coordinate")
        data = Data([20.0], dtype="f8")
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("atmosphere_hybrid_height_coordinate_bounds")
        data = Data([[0, 36.6666717529297]], dtype="f8")
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis0",), key="dimensioncoordinate0", copy=False
        )

        # dimension_coordinate
        c = DimensionCoordinate()
        c.set_properties(
            {"units": "degrees", "standard_name": "grid_latitude"}
        )
        c.nc_set_variable("y")
        data = Data(
            [2.2, 1.76, 1.32, 0.88, 0.44, 0.0, -0.44, -0.88, -1.32, -1.76],
            units="degrees",
            dtype="f8",
        )
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("y_bnds")
        data = Data(
            [
                [2.42, 1.98],
                [1.98, 1.54],
                [1.54, 1.1],
                [1.1, 0.66],
                [0.66, 0.22],
                [0.22, -0.22],
                [-0.22, -0.66],
                [-0.66, -1.1],
                [-1.1, -1.54],
                [-1.54, -1.98],
            ],
            units="degrees",
            dtype="f8",
        )
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis1",), key="dimensioncoordinate1", copy=False
        )

        # dimension_coordinate
        c = DimensionCoordinate()
        c.set_properties(
            {"units": "degrees", "standard_name": "grid_longitude"}
        )
        c.nc_set_variable("x")
        data = Data(
            [-4.7, -4.26, -3.82, -3.38, -2.94, -2.5, -2.06, -1.62, -1.18],
            units="degrees",
            dtype="f8",
        )
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("x_bnds")
        data = Data(
            [
                [-4.92, -4.48],
                [-4.48, -4.04],
                [-4.04, -3.6],
                [-3.6, -3.16],
                [-3.16, -2.72],
                [-2.72, -2.28],
                [-2.28, -1.84],
                [-1.84, -1.4],
                [-1.4, -0.96],
            ],
            units="degrees",
            dtype="f8",
        )
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis2",), key="dimensioncoordinate2", copy=False
        )

        # dimension_coordinate
        c = DimensionCoordinate()
        c.set_properties(
            {"units": "days since 2018-12-01", "standard_name": "time"}
        )
        c.nc_set_variable("time")
        data = Data([31.0], units="days since 2018-12-01", dtype="f8")
        c.set_data(data)
        f.set_construct(
            c, axes=("domainaxis3",), key="dimensioncoordinate3", copy=False
        )

        # field_ancillary
        c = FieldAncillary()
        c.set_properties(
            {"units": "K", "standard_name": "air_temperature standard_error"}
        )
        c.nc_set_variable("air_temperature_standard_error")
        data = Data(
            [
                [0.76, 0.38, 0.68, 0.19, 0.14, 0.52, 0.57, 0.19, 0.81],
                [0.59, 0.68, 0.25, 0.13, 0.37, 0.12, 0.26, 0.45, 0.36],
                [0.88, 0.4, 0.35, 0.87, 0.24, 0.64, 0.78, 0.28, 0.11],
                [0.73, 0.49, 0.69, 0.54, 0.17, 0.6, 0.82, 0.89, 0.71],
                [0.43, 0.39, 0.45, 0.74, 0.85, 0.47, 0.37, 0.87, 0.46],
                [0.47, 0.31, 0.76, 0.69, 0.61, 0.26, 0.43, 0.75, 0.23],
                [0.43, 0.26, 0.5, 0.79, 0.25, 0.63, 0.25, 0.24, 0.74],
                [0.33, 0.26, 0.89, 0.48, 0.79, 0.88, 0.41, 0.89, 0.47],
                [0.25, 0.42, 0.61, 0.87, 0.58, 0.89, 0.58, 0.8, 0.32],
                [0.49, 0.48, 0.49, 0.16, 0.65, 0.66, 0.86, 0.74, 0.32],
            ],
            units="K",
            dtype="f8",
        )
        c.set_data(data)
        f.set_construct(
            c,
            axes=("domainaxis1", "domainaxis2"),
            key="fieldancillary0",
            copy=False,
        )

        # cell_method
        c = CellMethod()
        c.set_method("mean")
        c.set_axes(("domainaxis1", "domainaxis2"))
        c.set_qualifier("where", "land")
        interval0 = Data(0.1, units="degrees", dtype="f8")
        c.set_qualifier("interval", [interval0])
        f.set_construct(c)

        # cell_method
        c = CellMethod()
        c.set_method("maximum")
        c.set_axes("domainaxis3")
        f.set_construct(c)

        # coordinate_reference
        c = CoordinateReference()
        c.set_coordinates({"dimensioncoordinate0"})
        c.datum.set_parameter("earth_radius", 6371007)
        c.coordinate_conversion.set_parameter(
            "standard_name", "atmosphere_hybrid_height_coordinate"
        )
        c.coordinate_conversion.set_parameter(
            "computed_standard_name", "altitude"
        )
        c.coordinate_conversion.set_domain_ancillaries(
            {
                "a": "domainancillary0",
                "b": "domainancillary1",
                "orog": "domainancillary2",
            }
        )
        f.set_construct(c)

        # coordinate_reference
        c = CoordinateReference()
        c.nc_set_variable("rotated_latitude_longitude")
        c.set_coordinates(
            {
                "dimensioncoordinate2",
                "auxiliarycoordinate1",
                "dimensioncoordinate1",
                "auxiliarycoordinate0",
            }
        )
        c.datum.set_parameter("earth_radius", 6371007)
        c.coordinate_conversion.set_parameter("grid_north_pole_latitude", 38.0)
        c.coordinate_conversion.set_parameter(
            "grid_north_pole_longitude", 190.0
        )
        c.coordinate_conversion.set_parameter(
            "grid_mapping_name", "rotated_latitude_longitude"
        )
        f.set_construct(c)

    elif n == 3:
        f = Field()

        f.set_properties(
            {
                "Conventions": f"CF-{CF()}",
                "featureType": "timeSeries",
                "_FillValue": -999.9,
                "standard_name": "precipitation_flux",
                "units": "kg m-2 day-1",
            }
        )
        f.nc_set_variable("p")
        f.nc_set_global_attributes({"Conventions": None, "featureType": None})

        # domain_axis
        c = DomainAxis(size=4)
        c.nc_set_dimension("station")
        f.set_construct(c, key="domainaxis0")

        # domain_axis
        c = DomainAxis(size=9)
        c.nc_set_dimension("timeseries")
        f.set_construct(c, key="domainaxis1")

        # field data
        data = Data(
            [
                [
                    3.98,
                    0.0,
                    0.0,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                ],
                [
                    0.0,
                    0.0,
                    0.0,
                    3.4,
                    0.0,
                    0.0,
                    4.61,
                    -99,
                    -99,
                ],
                [
                    0.86,
                    0.8,
                    0.75,
                    0.0,
                    4.56,
                    -99,
                    -99,
                    -99,
                    -99,
                ],
                [0.0, 0.09, 0.0, 0.91, 2.96, 1.14, 3.86, 0.0, 0.0],
            ],
            units="kg m-2 day-1",
            dtype="f8",
            mask_value=-99,
        )
        f.set_data(data, axes=("domainaxis0", "domainaxis1"))

        # auxiliary_coordinate
        c = AuxiliaryCoordinate()
        c.set_properties(
            {
                "standard_name": "time",
                "long_name": "time of measurement",
                "units": "days since 1970-01-01 00:00:00",
            }
        )
        c.nc_set_variable("time")
        data = Data(
            [
                [
                    -3.0,
                    -2.0,
                    -1.0,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                ],
                [
                    1.0,
                    2.0,
                    3.0,
                    4.0,
                    5.0,
                    6.0,
                    7.0,
                    -99,
                    -99,
                ],
                [
                    0.5,
                    1.5,
                    2.5,
                    3.5,
                    4.5,
                    -99,
                    -99,
                    -99,
                    -99,
                ],
                [-2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0],
            ],
            units="days since 1970-01-01 00:00:00",
            dtype="f8",
            mask_value=-99,
        )
        c.set_data(data)
        b = Bounds()
        data = Data(
            [
                [
                    [-3.5, -2.5],
                    [-2.5, -1.5],
                    [-1.5, -0.5],
                    [-99, -99],
                    [-99, -99],
                    [-99, -99],
                    [-99, -99],
                    [-99, -99],
                    [-99, -99],
                ],
                [
                    [0.5, 1.5],
                    [1.5, 2.5],
                    [2.5, 3.5],
                    [3.5, 4.5],
                    [4.5, 5.5],
                    [5.5, 6.5],
                    [6.5, 7.5],
                    [-99, -99],
                    [-99, -99],
                ],
                [
                    [0.0, 1.0],
                    [1.0, 2.0],
                    [2.0, 3.0],
                    [3.0, 4.0],
                    [4.0, 5.0],
                    [-99, -99],
                    [-99, -99],
                    [-99, -99],
                    [-99, -99],
                ],
                [
                    [-2.5, -1.5],
                    [-1.5, -0.5],
                    [-0.5, 0.5],
                    [0.5, 1.5],
                    [1.5, 2.5],
                    [2.5, 3.5],
                    [3.5, 4.5],
                    [4.5, 5.5],
                    [5.5, 6.5],
                ],
            ],
            units="days since 1970-01-01 00:00:00",
            dtype="f8",
            mask_value=-99,
        )
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c,
            axes=("domainaxis0", "domainaxis1"),
            key="auxiliarycoordinate0",
            copy=False,
        )

        # auxiliary_coordinate
        c = AuxiliaryCoordinate()
        c.set_properties(
            {
                "standard_name": "latitude",
                "long_name": "station latitude",
                "units": "degrees_north",
            }
        )
        c.nc_set_variable("lat")
        data = Data([-9.0, 2.0, 34.0, 78.0], units="degrees_north", dtype="f8")
        c.set_data(data)
        f.set_construct(
            c, axes=("domainaxis0",), key="auxiliarycoordinate1", copy=False
        )

        # auxiliary_coordinate
        c = AuxiliaryCoordinate()
        c.set_properties(
            {
                "standard_name": "longitude",
                "long_name": "station longitude",
                "units": "degrees_east",
            }
        )
        c.nc_set_variable("lon")
        data = Data(
            [-23.0, 0.0, 67.0, 178.0], units="degrees_east", dtype="f8"
        )
        c.set_data(data)
        f.set_construct(
            c, axes=("domainaxis0",), key="auxiliarycoordinate2", copy=False
        )

        # auxiliary_coordinate
        c = AuxiliaryCoordinate()
        c.set_properties(
            {
                "long_name": "vertical distance above the surface",
                "standard_name": "height",
                "units": "m",
                "positive": "up",
                "axis": "Z",
            }
        )
        c.nc_set_variable("alt")
        data = Data([0.5, 12.6, 23.7, 345.0], units="m", dtype="f8")
        c.set_data(data)
        f.set_construct(
            c, axes=("domainaxis0",), key="auxiliarycoordinate3", copy=False
        )

        # auxiliary_coordinate
        c = AuxiliaryCoordinate()
        c.set_properties(
            {"long_name": "station name", "cf_role": "timeseries_id"}
        )
        c.nc_set_variable("station_name")
        data = Data(
            ["station1", "station2", "station3", "station4"],
        )
        c.set_data(data)
        f.set_construct(
            c, axes=("domainaxis0",), key="auxiliarycoordinate4", copy=False
        )

        # auxiliary_coordinate
        c = AuxiliaryCoordinate()
        c.set_properties({"long_name": "station information"})
        c.nc_set_variable("station_info")
        data = Data([-10, -9, -8, -7], dtype="i4")
        c.set_data(data)
        f.set_construct(
            c, axes=("domainaxis0",), key="auxiliarycoordinate5", copy=False
        )

    elif n == 4:
        f = Field()

        f.set_properties(
            {
                "Conventions": f"CF-{CF()}",
                "featureType": "timeSeriesProfile",
                "_FillValue": -999.9,
                "standard_name": "air_temperature",
                "units": "K",
            }
        )
        f.nc_set_variable("ta")
        f.nc_set_global_attribute("Conventions", None)
        f.nc_set_global_attribute("featureType", None)

        # domain_axis
        c = DomainAxis(size=3)
        c.nc_set_dimension("station")
        f.set_construct(c, key="domainaxis0")

        # domain_axis
        c = DomainAxis(size=26)
        c.nc_set_dimension("timeseries")
        f.set_construct(c, key="domainaxis1")

        # domain_axis
        c = DomainAxis(size=4)
        c.nc_set_dimension("profile_1")
        f.set_construct(c, key="domainaxis2")

        # field data
        data = Data(
            [
                [
                    [
                        290.0,
                        -99,
                        -99,
                        -99,
                    ],
                    [293.15, 288.84, 280.0, -99],
                    [
                        291.65,
                        285.0,
                        -99,
                        -99,
                    ],
                    [
                        290.45,
                        286.14,
                        -99,
                        -99,
                    ],
                    [290.0, 285.0, -99, -99],
                    [
                        290.0,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        291.65,
                        288.57,
                        -99,
                        -99,
                    ],
                    [
                        290.0,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        293.27,
                        -99,
                        -99,
                        -99,
                    ],
                    [290.0, 285.0, -99, -99],
                    [293.36, 285.99, 285.46, -99],
                    [
                        291.2,
                        285.96,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                ],
                [
                    [291.74, 285.72, 283.21, 275.0],
                    [290.0, 285.0, -99, -99],
                    [290.0, 285.0, -99, -99],
                    [
                        290.15,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        291.08,
                        285.0,
                        -99,
                        -99,
                    ],
                    [
                        291.32,
                        288.66,
                        -99,
                        -99,
                    ],
                    [
                        290.0,
                        294.18,
                        -99,
                        -99,
                    ],
                    [
                        290.0,
                        -99,
                        -99,
                        -99,
                    ],
                    [290.0, 286.05, 280.0, -99],
                    [291.23, 285.0, 281.11, -99],
                    [295.88, 286.83, 285.01, -99],
                    [292.37, 285.6, 280.0, -99],
                    [
                        290.0,
                        -99,
                        -99,
                        -99,
                    ],
                    [300.11, 285.0, 280.0, -99],
                    [290.0, 287.4, -99, -99],
                    [
                        290.0,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        291.5,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        290.0,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        294.98,
                        290.64,
                        -99,
                        -99,
                    ],
                    [290.66, 292.92, 280.0, -99],
                    [290.24, 285.36, 280.36, -99],
                    [290.0, 285.0, -99, -99],
                    [
                        290.0,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        292.79,
                        285.0,
                        -99,
                        -99,
                    ],
                    [290.0, 287.22, 280.0, -99],
                    [290.0, 286.14, 280.0, -99],
                ],
                [
                    [
                        291.74,
                        -99,
                        -99,
                        -99,
                    ],
                    [291.44, 287.25, 280.0, -99],
                    [292.76, 285.0, 280.0, -99],
                    [291.59, 286.71, 284.47, -99],
                    [
                        292.19,
                        286.35,
                        -99,
                        -99,
                    ],
                    [
                        295.67,
                        285.0,
                        -99,
                        -99,
                    ],
                    [
                        290.0,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        290.45,
                        -99,
                        -99,
                        -99,
                    ],
                    [290.0, 285.0, -99, -99],
                    [293.69, 285.9, 280.03, -99],
                    [290.0, 285.27, 280.87, -99],
                    [290.0, 285.0, -99, -99],
                    [290.12, 286.44, 282.01, -99],
                    [
                        291.23,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        292.97,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        290.0,
                        286.71,
                        -99,
                        -99,
                    ],
                    [
                        292.01,
                        285.0,
                        -99,
                        -99,
                    ],
                    [294.62, 285.33, 282.01, -99],
                    [
                        290.0,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        292.64,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                ],
            ],
            units="K",
            dtype="f8",
            mask_value=-99,
        )
        f.set_data(data, axes=("domainaxis0", "domainaxis1", "domainaxis2"))

        # auxiliary_coordinate
        c = AuxiliaryCoordinate()
        c.set_properties(
            {
                "standard_name": "time",
                "long_name": "time",
                "units": "days since 1970-01-01 00:00:00",
            }
        )
        c.nc_set_variable("time")
        data = Data(
            [
                [
                    3.0,
                    4.0,
                    5.0,
                    6.0,
                    7.0,
                    8.0,
                    9.0,
                    10.0,
                    11.0,
                    12.0,
                    13.0,
                    14.0,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                ],
                [
                    0.0,
                    1.0,
                    2.0,
                    3.0,
                    4.0,
                    5.0,
                    6.0,
                    7.0,
                    8.0,
                    9.0,
                    10.0,
                    11.0,
                    12.0,
                    13.0,
                    14.0,
                    15.0,
                    16.0,
                    17.0,
                    18.0,
                    19.0,
                    20.0,
                    21.0,
                    22.0,
                    23.0,
                    24.0,
                    25.0,
                ],
                [
                    -3.0,
                    -2.0,
                    -1.0,
                    0.0,
                    1.0,
                    2.0,
                    3.0,
                    4.0,
                    5.0,
                    6.0,
                    7.0,
                    8.0,
                    9.0,
                    10.0,
                    11.0,
                    12.0,
                    13.0,
                    14.0,
                    15.0,
                    16.0,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                ],
            ],
            units="days since 1970-01-01 00:00:00",
            dtype="f8",
            mask_value=-99,
        )
        c.set_data(data)
        f.set_construct(
            c,
            axes=("domainaxis0", "domainaxis1"),
            key="auxiliarycoordinate0",
            copy=False,
        )

        # auxiliary_coordinate
        c = AuxiliaryCoordinate()
        c.set_properties(
            {
                "standard_name": "latitude",
                "long_name": "station latitude",
                "units": "degrees_north",
            }
        )
        c.nc_set_variable("lat")
        data = Data([-9.0, 2.0, 34.0], units="degrees_north", dtype="f8")
        c.set_data(data)
        f.set_construct(
            c, axes=("domainaxis0",), key="auxiliarycoordinate1", copy=False
        )

        # auxiliary_coordinate
        c = AuxiliaryCoordinate()
        c.set_properties(
            {
                "standard_name": "longitude",
                "long_name": "station longitude",
                "units": "degrees_east",
            }
        )
        c.nc_set_variable("lon")
        data = Data([-23.0, 0.0, 67.0], units="degrees_east", dtype="f8")
        c.set_data(data)
        f.set_construct(
            c, axes=("domainaxis0",), key="auxiliarycoordinate2", copy=False
        )

        # auxiliary_coordinate
        c = AuxiliaryCoordinate()
        c.set_properties(
            {
                "long_name": "vertical distance above the surface",
                "standard_name": "height",
                "units": "m",
                "positive": "up",
                "axis": "Z",
            }
        )
        c.nc_set_variable("alt")
        data = Data([0.5, 12.6, 23.7], units="m", dtype="f8")
        c.set_data(data)
        f.set_construct(
            c, axes=("domainaxis0",), key="auxiliarycoordinate3", copy=False
        )

        # auxiliary_coordinate
        c = AuxiliaryCoordinate()
        c.set_properties(
            {
                "standard_name": "altitude",
                "long_name": "height above mean sea level",
                "units": "km",
                "axis": "Z",
                "positive": "up",
            }
        )
        c.nc_set_variable("z")
        data = Data(
            [
                [
                    [
                        2.07,
                        -99,
                        -99,
                        -99,
                    ],
                    [1.01, 1.18, 1.82, -99],
                    [1.1, 1.18, -99, -99],
                    [1.63, 2.0, -99, -99],
                    [1.38, 1.83, -99, -99],
                    [
                        1.59,
                        -99,
                        -99,
                        -99,
                    ],
                    [1.57, 2.12, -99, -99],
                    [
                        2.25,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        1.8,
                        -99,
                        -99,
                        -99,
                    ],
                    [1.26, 2.17, -99, -99],
                    [1.05, 1.29, 2.1, -99],
                    [1.6, 1.97, -99, -99],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                ],
                [
                    [0.52, 0.58, 1.08, 1.38],
                    [0.26, 0.92, -99, -99],
                    [0.07, 0.4, -99, -99],
                    [
                        1.57,
                        -99,
                        -99,
                        -99,
                    ],
                    [0.25, 1.6, -99, -99],
                    [0.46, 0.98, -99, -99],
                    [0.06, 0.31, -99, -99],
                    [
                        0.38,
                        -99,
                        -99,
                        -99,
                    ],
                    [0.57, 1.29, 1.81, -99],
                    [0.39, 0.69, 1.69, -99],
                    [0.73, 1.38, 1.6, -99],
                    [0.45, 0.98, 1.13, -99],
                    [
                        0.15,
                        -99,
                        -99,
                        -99,
                    ],
                    [0.09, 0.43, 0.62, -99],
                    [0.17, 0.99, -99, -99],
                    [
                        0.93,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        0.07,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        1.57,
                        -99,
                        -99,
                        -99,
                    ],
                    [0.07, 0.12, -99, -99],
                    [0.45, 1.24, 1.3, -99],
                    [0.35, 0.68, 0.79, -99],
                    [0.81, 1.22, -99, -99],
                    [
                        0.59,
                        -99,
                        -99,
                        -99,
                    ],
                    [0.1, 0.96, -99, -99],
                    [0.56, 0.78, 0.91, -99],
                    [0.71, 0.9, 1.04, -99],
                ],
                [
                    [
                        3.52,
                        -99,
                        -99,
                        -99,
                    ],
                    [3.47, 3.89, 4.81, -99],
                    [3.52, 3.93, 3.96, -99],
                    [4.03, 4.04, 4.8, -99],
                    [3.0, 3.65, -99, -99],
                    [3.33, 4.33, -99, -99],
                    [
                        3.77,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        3.35,
                        -99,
                        -99,
                        -99,
                    ],
                    [3.19, 3.37, -99, -99],
                    [3.41, 3.54, 4.1, -99],
                    [3.02, 3.37, 3.87, -99],
                    [3.24, 4.24, -99, -99],
                    [3.32, 3.49, 3.97, -99],
                    [
                        3.32,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        3.85,
                        -99,
                        -99,
                        -99,
                    ],
                    [3.73, 3.99, -99, -99],
                    [3.0, 3.91, -99, -99],
                    [3.64, 3.91, 4.56, -99],
                    [
                        4.1,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        3.11,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                ],
            ],
            units="km",
            dtype="f8",
            mask_value=-99,
        )
        c.set_data(data)
        f.set_construct(
            c,
            axes=("domainaxis0", "domainaxis1", "domainaxis2"),
            key="auxiliarycoordinate4",
            copy=False,
        )

        # auxiliary_coordinate
        c = AuxiliaryCoordinate()
        c.set_properties(
            {"long_name": "station name", "cf_role": "timeseries_id"}
        )
        c.nc_set_variable("station_name")
        data = Data(["station1", "station2", "station3"])
        c.set_data(data)
        f.set_construct(
            c, axes=("domainaxis0",), key="auxiliarycoordinate5", copy=False
        )

        # auxiliary_coordinate
        c = AuxiliaryCoordinate()
        c.set_properties({"long_name": "station information"})
        c.nc_set_variable("station_info")
        data = Data([-10, -9, -8], dtype="i4")
        c.set_data(data)
        f.set_construct(
            c, axes=("domainaxis0",), key="auxiliarycoordinate6", copy=False
        )

        # auxiliary_coordinate
        c = AuxiliaryCoordinate()
        c.set_properties({"cf_role": "profile_id"})
        c.nc_set_variable("profile")
        data = Data(
            [
                [
                    102,
                    106,
                    109,
                    117,
                    121,
                    124,
                    132,
                    136,
                    139,
                    147,
                    151,
                    154,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                ],
                [
                    101,
                    104,
                    105,
                    108,
                    110,
                    113,
                    114,
                    116,
                    119,
                    120,
                    123,
                    125,
                    128,
                    129,
                    131,
                    134,
                    135,
                    138,
                    140,
                    143,
                    144,
                    146,
                    149,
                    150,
                    153,
                    155,
                ],
                [
                    100,
                    103,
                    107,
                    111,
                    112,
                    115,
                    118,
                    122,
                    126,
                    127,
                    130,
                    133,
                    137,
                    141,
                    142,
                    145,
                    148,
                    152,
                    156,
                    157,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                    -99,
                ],
            ],
            dtype="i4",
            mask_value=-99,
        )
        c.set_data(data)
        f.set_construct(
            c,
            axes=("domainaxis0", "domainaxis1"),
            key="auxiliarycoordinate7",
            copy=False,
        )

    elif n == 2:
        f = Field()

        f.set_properties(
            {
                "Conventions": f"CF-{CF()}",
                "standard_name": "air_potential_temperature",
                "units": "K",
            }
        )
        f.nc_set_variable("air_potential_temperature")
        f.nc_set_global_attribute("Conventions", None)

        # domain_axis
        c = DomainAxis(size=36)
        c.nc_set_dimension("time")
        f.set_construct(c, key="domainaxis0")

        # domain_axis
        c = DomainAxis(size=5)
        c.nc_set_dimension("lat")
        f.set_construct(c, key="domainaxis1")

        # domain_axis
        c = DomainAxis(size=8)
        c.nc_set_dimension("lon")
        f.set_construct(c, key="domainaxis2")

        # domain_axis
        c = DomainAxis(size=1)
        f.set_construct(c, key="domainaxis3")

        # field data
        data = Data(
            [
                [
                    [210.7, 212.9, 282.7, 293.9, 264.0, 228.0, 211.6, 266.5],
                    [212.8, 224.3, 301.9, 308.2, 237.1, 233.9, 200.1, 208.2],
                    [234.9, 273.0, 245.1, 233.7, 262.9, 242.0, 254.7, 299.3],
                    [204.1, 233.4, 278.1, 293.7, 232.8, 246.2, 268.0, 298.4],
                    [309.5, 294.7, 209.8, 204.3, 224.8, 271.1, 292.2, 293.9],
                ],
                [
                    [305.3, 271.6, 300.7, 267.8, 226.0, 204.9, 202.6, 294.3],
                    [291.7, 251.6, 311.1, 252.2, 297.1, 205.4, 289.5, 258.4],
                    [300.9, 304.2, 206.3, 259.2, 223.6, 236.2, 275.6, 284.9],
                    [226.4, 309.3, 223.7, 305.3, 283.4, 219.1, 303.8, 271.3],
                    [234.6, 301.8, 261.1, 226.6, 261.9, 267.0, 297.5, 241.3],
                ],
                [
                    [249.4, 278.9, 308.2, 283.3, 283.2, 227.7, 288.3, 221.9],
                    [270.7, 268.0, 306.4, 294.9, 242.0, 276.5, 218.0, 247.2],
                    [229.8, 291.0, 246.1, 205.2, 232.7, 244.7, 235.4, 264.5],
                    [239.1, 278.2, 299.1, 203.2, 308.9, 303.2, 309.0, 228.9],
                    [203.2, 279.8, 248.5, 270.8, 234.0, 307.7, 236.4, 237.1],
                ],
                [
                    [288.9, 235.0, 279.9, 218.1, 241.4, 233.6, 238.0, 221.9],
                    [235.0, 289.2, 283.8, 306.0, 219.7, 240.4, 199.0, 238.8],
                    [281.6, 262.3, 251.7, 290.0, 279.7, 267.1, 304.2, 244.6],
                    [298.3, 201.7, 251.8, 233.3, 253.5, 229.2, 228.7, 277.6],
                    [213.5, 290.2, 202.6, 217.9, 244.9, 224.1, 286.4, 268.1],
                ],
                [
                    [231.1, 243.5, 199.9, 264.0, 282.2, 288.8, 269.4, 291.2],
                    [216.6, 256.6, 201.9, 279.4, 211.0, 223.4, 205.8, 207.7],
                    [230.2, 218.6, 248.6, 292.3, 253.3, 212.5, 205.9, 208.9],
                    [273.5, 249.9, 257.5, 237.6, 250.7, 233.4, 255.6, 255.2],
                    [274.0, 208.6, 283.6, 259.4, 242.0, 307.4, 251.2, 233.7],
                ],
                [
                    [200.0, 265.0, 273.4, 235.5, 297.4, 232.2, 266.0, 277.8],
                    [260.3, 221.3, 243.1, 217.2, 205.8, 225.9, 227.8, 264.1],
                    [231.1, 210.2, 258.6, 215.7, 221.1, 303.4, 283.0, 209.3],
                    [260.5, 231.8, 212.0, 249.7, 202.5, 256.0, 291.2, 232.0],
                    [282.3, 266.8, 207.4, 262.4, 303.2, 277.5, 263.5, 294.7],
                ],
                [
                    [234.4, 304.3, 226.2, 231.7, 261.9, 204.3, 287.5, 229.5],
                    [264.4, 291.3, 289.0, 295.4, 250.5, 252.1, 275.0, 244.1],
                    [245.2, 228.1, 227.2, 252.0, 307.9, 296.9, 247.9, 219.6],
                    [302.0, 256.5, 298.4, 222.3, 285.8, 308.4, 225.5, 202.6],
                    [308.8, 274.1, 215.4, 288.5, 230.5, 213.0, 310.2, 205.8],
                ],
                [
                    [289.2, 275.2, 241.5, 231.5, 261.6, 310.1, 235.5, 280.6],
                    [273.7, 201.4, 290.0, 287.6, 220.2, 215.2, 215.1, 266.6],
                    [290.8, 309.8, 278.5, 286.3, 278.6, 203.6, 231.7, 263.9],
                    [231.1, 299.2, 301.8, 217.8, 286.1, 206.8, 254.8, 234.1],
                    [238.3, 301.8, 244.9, 263.8, 202.2, 257.2, 245.8, 199.4],
                ],
                [
                    [204.3, 301.8, 247.5, 279.3, 276.3, 258.3, 252.2, 297.9],
                    [261.3, 230.3, 277.2, 255.9, 286.6, 203.5, 288.3, 246.3],
                    [281.8, 309.0, 241.4, 307.3, 261.0, 199.4, 311.1, 278.5],
                    [259.2, 302.6, 283.3, 206.4, 206.5, 250.3, 249.0, 271.0],
                    [274.2, 304.6, 252.5, 236.2, 244.3, 229.8, 221.1, 289.0],
                ],
                [
                    [203.6, 292.0, 201.0, 280.9, 238.8, 199.9, 200.3, 244.4],
                    [244.9, 232.6, 204.9, 257.3, 265.7, 230.9, 231.6, 295.7],
                    [281.6, 282.9, 271.7, 250.3, 217.4, 269.5, 219.5, 262.1],
                    [308.2, 283.4, 259.5, 234.6, 248.6, 212.6, 262.7, 237.0],
                    [258.0, 257.9, 272.7, 310.4, 291.0, 265.9, 205.4, 256.9],
                ],
                [
                    [261.8, 308.8, 303.2, 210.1, 281.0, 275.7, 200.6, 285.6],
                    [199.8, 219.7, 248.1, 231.8, 217.9, 199.1, 272.8, 282.2],
                    [264.1, 301.2, 269.9, 243.0, 223.8, 281.5, 247.8, 222.6],
                    [273.6, 199.5, 256.0, 199.9, 234.7, 273.7, 285.0, 288.2],
                    [306.7, 275.5, 301.5, 207.4, 278.4, 228.9, 245.3, 266.9],
                ],
                [
                    [256.2, 229.4, 296.5, 305.5, 202.0, 247.2, 254.9, 306.1],
                    [251.3, 279.2, 215.4, 250.5, 204.3, 253.1, 275.8, 210.1],
                    [306.9, 208.4, 267.3, 284.5, 226.5, 280.0, 252.6, 286.8],
                    [293.9, 261.8, 262.9, 218.9, 238.7, 298.4, 311.2, 288.7],
                    [277.6, 223.3, 224.4, 202.2, 274.1, 203.7, 225.3, 229.6],
                ],
                [
                    [212.3, 253.2, 257.3, 261.4, 268.9, 260.4, 255.5, 224.1],
                    [208.3, 227.6, 296.5, 307.7, 297.6, 230.3, 300.7, 273.5],
                    [268.9, 255.9, 220.3, 307.2, 274.5, 249.9, 284.0, 217.6],
                    [285.4, 306.5, 203.9, 232.4, 306.1, 219.9, 272.1, 222.3],
                    [220.6, 258.6, 307.9, 280.9, 310.4, 202.0, 237.3, 294.9],
                ],
                [
                    [231.7, 299.5, 217.4, 267.3, 278.6, 204.4, 234.7, 233.5],
                    [266.0, 302.9, 215.8, 281.6, 254.0, 223.6, 248.1, 310.0],
                    [281.4, 257.0, 269.8, 207.8, 286.4, 221.4, 239.3, 251.8],
                    [237.9, 228.6, 289.9, 245.3, 232.9, 302.9, 278.2, 248.4],
                    [252.2, 249.6, 290.7, 203.2, 293.1, 205.7, 302.5, 217.6],
                ],
                [
                    [255.1, 200.6, 268.4, 216.3, 246.5, 250.2, 292.9, 226.8],
                    [297.8, 280.7, 271.8, 251.7, 298.1, 218.0, 295.2, 234.5],
                    [231.8, 281.5, 305.0, 261.4, 222.9, 217.0, 211.6, 275.2],
                    [218.0, 308.1, 221.3, 251.8, 252.1, 254.3, 270.6, 294.9],
                    [299.6, 237.6, 216.5, 300.0, 286.2, 277.1, 242.6, 284.3],
                ],
                [
                    [213.9, 219.2, 212.0, 241.9, 276.3, 269.1, 298.9, 200.9],
                    [274.2, 236.4, 218.4, 241.8, 208.6, 287.3, 219.0, 232.8],
                    [254.0, 266.1, 307.4, 239.1, 252.1, 284.1, 210.7, 291.2],
                    [200.4, 266.3, 298.3, 205.6, 305.1, 247.9, 285.4, 219.6],
                    [284.4, 274.0, 216.4, 210.8, 201.0, 223.1, 279.1, 224.8],
                ],
                [
                    [255.8, 229.6, 292.6, 243.5, 304.0, 264.1, 285.4, 256.0],
                    [250.5, 262.1, 263.1, 281.3, 299.9, 289.5, 289.3, 235.6],
                    [226.9, 226.0, 218.7, 287.3, 227.2, 199.7, 283.5, 281.4],
                    [258.2, 237.4, 223.9, 214.6, 292.1, 280.1, 278.4, 233.0],
                    [309.7, 203.1, 299.0, 296.1, 250.3, 234.5, 231.0, 214.5],
                ],
                [
                    [301.2, 216.9, 214.8, 310.8, 246.6, 201.3, 303.0, 306.4],
                    [284.8, 275.3, 303.3, 221.7, 262.8, 300.3, 264.8, 292.1],
                    [288.9, 219.7, 294.3, 206.1, 213.5, 234.4, 209.6, 269.4],
                    [282.5, 230.5, 248.4, 279.0, 249.4, 242.6, 286.0, 238.3],
                    [275.5, 236.7, 210.9, 296.1, 210.4, 209.1, 246.9, 298.5],
                ],
                [
                    [213.3, 277.8, 289.6, 213.5, 242.6, 292.9, 273.9, 293.0],
                    [268.7, 300.8, 310.2, 274.6, 228.1, 248.0, 245.3, 214.7],
                    [234.9, 279.7, 306.4, 306.1, 301.8, 210.3, 297.3, 310.7],
                    [263.2, 293.6, 225.8, 311.1, 277.1, 248.0, 220.4, 308.1],
                    [243.4, 285.4, 290.6, 235.2, 211.5, 229.2, 250.9, 262.8],
                ],
                [
                    [200.1, 290.2, 222.1, 274.7, 291.9, 226.3, 227.9, 210.4],
                    [217.9, 270.3, 238.3, 246.0, 285.9, 213.6, 310.6, 299.0],
                    [239.6, 309.7, 261.7, 273.4, 305.2, 243.0, 274.1, 255.3],
                    [245.9, 292.1, 216.8, 199.5, 309.2, 286.8, 289.9, 299.7],
                    [210.3, 208.9, 211.2, 245.7, 240.7, 249.1, 219.0, 256.6],
                ],
                [
                    [204.6, 266.5, 294.7, 242.1, 282.9, 204.9, 241.7, 303.7],
                    [251.1, 220.4, 263.1, 211.7, 219.9, 240.0, 278.6, 240.3],
                    [308.8, 255.9, 258.2, 253.4, 279.9, 308.5, 229.5, 254.0],
                    [270.8, 278.9, 269.2, 272.7, 285.4, 206.3, 216.8, 238.3],
                    [305.4, 205.9, 306.8, 272.7, 234.2, 244.4, 277.6, 295.4],
                ],
                [
                    [203.2, 246.8, 305.1, 289.9, 260.8, 274.0, 310.7, 299.0],
                    [292.7, 241.5, 255.5, 205.8, 212.6, 243.9, 287.4, 232.5],
                    [200.3, 301.1, 221.0, 311.2, 246.9, 290.8, 309.0, 286.5],
                    [214.0, 206.0, 254.6, 227.0, 217.5, 236.1, 213.1, 260.2],
                    [302.5, 230.8, 294.0, 235.9, 250.7, 209.4, 218.7, 266.0],
                ],
                [
                    [244.6, 287.8, 273.8, 267.2, 237.6, 224.2, 206.1, 242.4],
                    [201.9, 243.0, 270.5, 308.8, 241.6, 243.9, 271.9, 250.5],
                    [216.1, 305.7, 257.5, 311.2, 223.2, 276.0, 213.0, 252.5],
                    [233.4, 221.0, 262.4, 257.7, 234.0, 225.8, 219.6, 308.1],
                    [282.1, 223.3, 284.9, 238.4, 235.8, 305.6, 308.6, 219.4],
                ],
                [
                    [238.4, 201.7, 229.7, 224.8, 209.0, 280.5, 293.8, 260.4],
                    [273.7, 253.7, 299.4, 241.4, 229.3, 230.3, 265.6, 287.3],
                    [283.9, 265.2, 289.2, 284.3, 221.0, 306.3, 253.9, 246.3],
                    [241.3, 289.5, 212.4, 217.2, 201.7, 238.0, 265.2, 257.7],
                    [269.9, 213.4, 256.6, 290.1, 266.8, 278.9, 247.5, 286.8],
                ],
                [
                    [304.5, 275.8, 216.5, 273.4, 220.4, 251.1, 255.9, 282.2],
                    [300.2, 274.3, 297.8, 229.3, 207.1, 297.7, 280.1, 216.4],
                    [287.9, 308.4, 283.0, 281.3, 222.6, 228.0, 257.0, 222.2],
                    [310.1, 263.2, 248.8, 243.0, 241.8, 219.4, 293.1, 277.2],
                    [299.7, 249.8, 241.3, 267.5, 290.6, 258.1, 261.7, 293.5],
                ],
                [
                    [269.8, 297.4, 264.3, 253.0, 249.8, 228.4, 259.8, 278.6],
                    [288.0, 274.6, 299.8, 298.8, 248.1, 267.0, 287.7, 206.5],
                    [221.2, 235.6, 235.3, 252.1, 220.6, 215.5, 284.1, 237.9],
                    [292.9, 264.2, 297.6, 284.0, 304.3, 211.0, 271.5, 199.7],
                    [245.3, 293.9, 243.8, 268.9, 260.6, 262.5, 264.8, 211.0],
                ],
                [
                    [267.9, 244.2, 269.1, 215.6, 284.3, 229.4, 307.6, 255.2],
                    [296.3, 280.6, 302.1, 302.1, 215.1, 206.6, 227.5, 263.2],
                    [253.7, 287.9, 280.9, 299.6, 206.1, 300.4, 307.1, 211.6],
                    [260.0, 276.3, 296.1, 285.9, 270.2, 243.4, 231.6, 267.1],
                    [303.5, 199.4, 307.1, 213.2, 236.5, 265.4, 249.6, 268.8],
                ],
                [
                    [282.4, 298.8, 306.8, 311.1, 263.3, 239.8, 205.8, 199.4],
                    [247.0, 255.0, 220.5, 263.8, 254.0, 257.5, 299.2, 271.9],
                    [295.1, 253.6, 241.7, 214.4, 246.8, 293.7, 230.0, 285.2],
                    [298.6, 241.6, 217.5, 296.1, 265.1, 215.2, 249.0, 237.3],
                    [261.4, 235.1, 298.9, 248.9, 211.0, 235.1, 273.1, 255.3],
                ],
                [
                    [215.0, 214.4, 204.8, 304.0, 235.6, 300.1, 234.4, 272.1],
                    [274.2, 209.0, 306.8, 229.5, 303.7, 284.1, 223.7, 272.6],
                    [266.5, 259.3, 264.1, 311.2, 305.4, 261.1, 262.7, 309.6],
                    [310.0, 308.1, 273.8, 250.9, 233.3, 209.8, 249.8, 273.8],
                    [200.0, 221.3, 294.8, 216.5, 206.1, 297.6, 211.8, 275.1],
                ],
                [
                    [288.7, 234.6, 235.5, 205.8, 205.4, 214.5, 288.4, 254.0],
                    [200.5, 228.3, 244.9, 238.5, 263.1, 285.6, 292.7, 295.0],
                    [291.0, 246.3, 268.1, 208.8, 215.3, 278.1, 286.1, 290.0],
                    [258.5, 283.0, 279.5, 257.4, 234.2, 269.8, 256.3, 209.2],
                    [303.9, 206.7, 293.6, 272.0, 290.2, 288.6, 236.9, 268.3],
                ],
                [
                    [217.3, 264.2, 249.4, 296.9, 208.4, 232.0, 288.0, 299.4],
                    [258.0, 218.9, 205.5, 279.4, 293.8, 260.4, 228.3, 224.0],
                    [210.6, 217.2, 241.7, 201.7, 215.0, 255.9, 241.0, 240.8],
                    [256.2, 305.1, 293.5, 253.9, 271.0, 248.8, 206.2, 305.7],
                    [275.0, 301.1, 284.7, 227.8, 252.3, 231.2, 214.9, 243.8],
                ],
                [
                    [307.1, 206.8, 207.1, 260.3, 257.4, 310.1, 287.4, 242.8],
                    [291.5, 266.9, 302.8, 232.3, 283.1, 207.8, 249.3, 252.4],
                    [207.4, 222.4, 218.9, 266.7, 214.4, 227.9, 254.5, 310.7],
                    [232.6, 248.7, 257.5, 243.6, 261.9, 220.7, 294.0, 286.5],
                    [286.3, 262.3, 202.2, 279.2, 257.1, 230.2, 250.6, 225.3],
                ],
                [
                    [299.3, 268.7, 296.3, 199.9, 254.3, 295.7, 275.3, 271.8],
                    [250.6, 226.6, 301.3, 207.4, 242.9, 273.1, 216.1, 252.0],
                    [275.8, 291.3, 270.6, 282.9, 250.5, 291.3, 260.6, 310.1],
                    [253.2, 221.3, 281.1, 283.0, 268.0, 263.9, 224.3, 284.0],
                    [236.5, 218.9, 229.2, 227.9, 226.2, 247.3, 298.1, 226.8],
                ],
                [
                    [215.9, 289.9, 222.7, 270.5, 247.7, 200.7, 219.0, 252.4],
                    [202.8, 278.9, 259.1, 207.2, 299.8, 249.2, 259.8, 200.7],
                    [249.3, 205.9, 303.5, 304.2, 216.8, 308.1, 201.5, 241.9],
                    [256.9, 264.6, 227.4, 229.5, 294.2, 271.0, 254.5, 274.6],
                    [268.1, 199.3, 275.7, 289.0, 205.0, 218.2, 270.6, 280.4],
                ],
                [
                    [290.2, 274.0, 281.7, 263.1, 202.1, 199.7, 228.1, 260.0],
                    [248.7, 305.0, 306.2, 255.3, 298.0, 254.6, 276.0, 249.4],
                    [217.2, 272.4, 278.8, 252.1, 236.4, 223.6, 201.8, 300.9],
                    [302.4, 305.0, 273.1, 261.9, 241.4, 285.0, 275.1, 210.2],
                    [242.1, 208.1, 258.0, 222.2, 244.7, 236.9, 216.0, 260.5],
                ],
                [
                    [239.9, 220.7, 246.1, 209.0, 247.9, 247.4, 227.1, 291.7],
                    [205.5, 287.2, 305.5, 238.8, 291.1, 250.0, 202.0, 234.0],
                    [275.4, 210.0, 276.8, 287.3, 281.2, 279.6, 306.0, 228.3],
                    [301.9, 295.9, 298.4, 304.0, 227.9, 301.7, 296.2, 247.4],
                    [210.1, 212.0, 275.1, 271.8, 254.0, 274.8, 283.8, 286.6],
                ],
            ],
            units="K",
            dtype="f8",
        )
        f.set_data(data, axes=("domainaxis0", "domainaxis1", "domainaxis2"))

        # dimension_coordinate
        c = DimensionCoordinate()
        c.set_properties(
            {"standard_name": "time", "units": "days since 1959-01-01"}
        )
        c.nc_set_variable("time")
        data = Data(
            [
                349.5,
                380.5,
                410.5,
                440.5,
                471.0,
                501.5,
                532.0,
                562.5,
                593.5,
                624.0,
                654.5,
                685.0,
                715.5,
                746.5,
                776.0,
                805.5,
                836.0,
                866.5,
                897.0,
                927.5,
                958.5,
                989.0,
                1019.5,
                1050.0,
                1080.5,
                1111.5,
                1141.0,
                1170.5,
                1201.0,
                1231.5,
                1262.0,
                1292.5,
                1323.5,
                1354.0,
                1384.5,
                1415.0,
            ],
            units="days since 1959-01-01",
            dtype="f8",
        )
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("bounds")
        data = Data(
            [
                [334.0, 365.0],
                [365.0, 396.0],
                [396.0, 425.0],
                [425.0, 456.0],
                [456.0, 486.0],
                [486.0, 517.0],
                [517.0, 547.0],
                [547.0, 578.0],
                [578.0, 609.0],
                [609.0, 639.0],
                [639.0, 670.0],
                [670.0, 700.0],
                [700.0, 731.0],
                [731.0, 762.0],
                [762.0, 790.0],
                [790.0, 821.0],
                [821.0, 851.0],
                [851.0, 882.0],
                [882.0, 912.0],
                [912.0, 943.0],
                [943.0, 974.0],
                [974.0, 1004.0],
                [1004.0, 1035.0],
                [1035.0, 1065.0],
                [1065.0, 1096.0],
                [1096.0, 1127.0],
                [1127.0, 1155.0],
                [1155.0, 1186.0],
                [1186.0, 1216.0],
                [1216.0, 1247.0],
                [1247.0, 1277.0],
                [1277.0, 1308.0],
                [1308.0, 1339.0],
                [1339.0, 1369.0],
                [1369.0, 1400.0],
                [1400.0, 1430.0],
            ],
            units="days since 1959-01-01",
            dtype="f8",
        )
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis0",), key="dimensioncoordinate0", copy=False
        )

        # dimension_coordinate
        c = DimensionCoordinate()
        c.set_properties(
            {"units": "degrees_north", "standard_name": "latitude"}
        )
        c.nc_set_variable("lat")
        data = Data(
            [-75.0, -45.0, 0.0, 45.0, 75.0], units="degrees_north", dtype="f8"
        )
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("lat_bnds")
        data = Data(
            [
                [-90.0, -60.0],
                [-60.0, -30.0],
                [-30.0, 30.0],
                [30.0, 60.0],
                [60.0, 90.0],
            ],
            units="degrees_north",
            dtype="f8",
        )
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis1",), key="dimensioncoordinate1", copy=False
        )

        # dimension_coordinate
        c = DimensionCoordinate()
        c.set_properties(
            {"units": "degrees_east", "standard_name": "longitude"}
        )
        c.nc_set_variable("lon")
        data = Data(
            [22.5, 67.5, 112.5, 157.5, 202.5, 247.5, 292.5, 337.5],
            units="degrees_east",
            dtype="f8",
        )
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("lon_bnds")
        data = Data(
            [
                [0.0, 45.0],
                [45.0, 90.0],
                [90.0, 135.0],
                [135.0, 180.0],
                [180.0, 225.0],
                [225.0, 270.0],
                [270.0, 315.0],
                [315.0, 360.0],
            ],
            units="degrees_east",
            dtype="f8",
        )
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis2",), key="dimensioncoordinate2", copy=False
        )

        # dimension_coordinate
        c = DimensionCoordinate()
        c.set_properties({"standard_name": "air_pressure", "units": "hPa"})
        c.nc_set_variable("air_pressure")
        data = Data([850.0], units="hPa", dtype="f8")
        c.set_data(data)
        f.set_construct(
            c, axes=("domainaxis3",), key="dimensioncoordinate3", copy=False
        )

        # cell_method
        c = CellMethod()
        c.set_method("mean")
        c.set_axes("area")
        f.set_construct(c)

    elif n == 5:
        f = Field()

        f.set_properties(
            {
                "Conventions": f"CF-{CF()}",
                "standard_name": "air_potential_temperature",
                "units": "K",
            }
        )
        f.nc_set_variable("air_potential_temperature")
        f.nc_set_global_attributes({"Conventions": None})

        # domain_axis
        c = DomainAxis(size=118)
        c.nc_set_dimension("time")
        f.set_construct(c, key="domainaxis0")

        # domain_axis
        c = DomainAxis(size=5)
        c.nc_set_dimension("lat")
        f.set_construct(c, key="domainaxis1")

        # domain_axis
        c = DomainAxis(size=8)
        c.nc_set_dimension("lon")
        f.set_construct(c, key="domainaxis2")

        # domain_axis
        c = DomainAxis(size=1)
        f.set_construct(c, key="domainaxis3")

        # field data
        data = Data(
            [
                [
                    [274.0, 282.2, 267.4, 275.3, 274.3, 280.0, 281.9, 266.7],
                    [263.9, 268.6, 276.9, 275.8, 271.1, 277.3, 270.2, 278.0],
                    [266.5, 267.9, 267.8, 268.2, 257.7, 263.5, 273.9, 281.0],
                    [274.9, 265.2, 284.2, 275.5, 254.3, 277.4, 258.1, 273.3],
                    [279.9, 291.9, 273.9, 285.8, 277.1, 271.3, 273.4, 261.8],
                ],
                [
                    [292.2, 275.7, 286.9, 287.2, 269.2, 266.1, 286.4, 272.4],
                    [276.9, 269.2, 290.9, 283.1, 268.2, 274.0, 267.8, 253.2],
                    [285.5, 288.9, 261.7, 278.6, 287.6, 269.0, 277.2, 279.1],
                    [264.1, 256.4, 278.1, 272.1, 271.4, 277.2, 271.2, 274.5],
                    [277.5, 290.1, 282.4, 264.7, 277.8, 257.5, 261.3, 284.6],
                ],
                [
                    [277.2, 279.8, 259.0, 267.0, 277.9, 282.0, 268.7, 277.7],
                    [280.2, 256.7, 264.0, 272.8, 284.2, 262.6, 292.9, 273.4],
                    [256.3, 276.7, 280.7, 258.6, 267.7, 260.7, 273.3, 273.7],
                    [278.9, 279.4, 276.5, 272.7, 271.3, 260.1, 287.4, 278.9],
                    [288.7, 278.6, 284.2, 277.1, 283.8, 283.5, 262.4, 268.1],
                ],
                [
                    [266.4, 277.7, 279.8, 271.1, 257.1, 286.9, 277.9, 261.5],
                    [277.6, 273.5, 261.1, 280.8, 280.1, 266.0, 270.8, 256.0],
                    [281.0, 290.1, 263.1, 274.8, 288.2, 277.2, 278.8, 260.4],
                    [248.1, 285.8, 274.2, 268.1, 279.6, 278.1, 262.3, 286.0],
                    [274.3, 272.8, 276.4, 281.7, 258.1, 275.2, 259.4, 279.5],
                ],
                [
                    [266.7, 259.6, 257.7, 265.6, 259.3, 256.6, 255.7, 285.6],
                    [283.4, 274.8, 268.7, 277.2, 265.2, 281.5, 282.5, 258.1],
                    [284.2, 291.0, 268.9, 260.0, 281.3, 266.9, 274.6, 289.2],
                    [279.4, 284.7, 266.6, 285.6, 275.1, 284.8, 286.4, 284.3],
                    [269.1, 273.3, 272.8, 279.9, 283.2, 285.5, 258.1, 261.7],
                ],
                [
                    [296.4, 281.1, 278.6, 273.2, 288.7, 281.3, 265.6, 284.2],
                    [276.8, 271.7, 274.4, 271.1, 279.9, 265.4, 292.5, 259.7],
                    [278.7, 279.6, 277.0, 270.7, 266.1, 265.2, 272.5, 278.1],
                    [284.0, 254.0, 279.7, 291.1, 282.4, 279.3, 257.6, 285.1],
                    [272.2, 283.6, 270.0, 271.9, 294.8, 260.4, 275.9, 275.5],
                ],
                [
                    [273.5, 273.9, 298.2, 275.1, 268.2, 260.2, 260.5, 272.5],
                    [264.7, 241.2, 261.1, 260.3, 272.8, 285.2, 283.7, 275.5],
                    [273.2, 256.0, 282.9, 272.0, 253.9, 291.0, 267.5, 272.1],
                    [259.6, 262.7, 278.5, 271.6, 260.1, 273.3, 286.1, 267.7],
                    [266.3, 262.5, 273.4, 278.9, 274.9, 267.1, 274.6, 286.1],
                ],
                [
                    [278.1, 269.1, 271.4, 266.1, 258.6, 281.9, 256.9, 281.7],
                    [275.0, 281.3, 256.7, 252.4, 281.5, 273.6, 259.1, 266.1],
                    [264.1, 266.0, 278.9, 267.4, 286.4, 281.7, 270.2, 266.1],
                    [274.2, 261.9, 270.1, 291.9, 292.1, 277.6, 283.6, 279.4],
                    [281.4, 270.6, 255.5, 269.4, 264.8, 262.4, 275.3, 286.9],
                ],
                [
                    [269.6, 269.8, 270.8, 270.1, 277.6, 271.0, 263.6, 274.5],
                    [259.0, 251.2, 295.4, 262.1, 262.6, 283.3, 269.0, 268.1],
                    [286.0, 275.6, 264.2, 265.3, 263.7, 268.6, 269.9, 281.2],
                    [269.6, 274.9, 256.7, 284.1, 271.1, 254.8, 258.1, 273.0],
                    [269.2, 271.2, 275.3, 279.8, 278.7, 278.8, 280.5, 285.8],
                ],
                [
                    [285.9, 246.7, 255.7, 282.1, 258.9, 262.6, 300.0, 288.3],
                    [279.2, 266.6, 271.0, 258.5, 257.9, 274.8, 264.4, 267.4],
                    [282.0, 266.8, 280.1, 289.6, 278.2, 282.2, 288.7, 273.6],
                    [279.2, 273.1, 266.7, 271.5, 275.4, 278.2, 269.7, 291.6],
                    [281.1, 282.1, 271.3, 260.0, 275.7, 291.4, 266.6, 265.2],
                ],
                [
                    [278.5, 263.3, 285.9, 255.2, 283.8, 288.7, 282.8, 262.9],
                    [272.6, 288.2, 257.5, 269.8, 273.6, 266.7, 276.2, 275.5],
                    [261.8, 274.2, 278.3, 273.3, 268.8, 278.5, 273.0, 276.7],
                    [276.2, 271.2, 284.8, 272.2, 274.7, 253.6, 268.7, 273.1],
                    [285.6, 270.2, 271.4, 285.5, 248.1, 273.1, 294.9, 272.9],
                ],
                [
                    [269.3, 252.5, 271.3, 268.2, 270.8, 282.2, 275.0, 274.2],
                    [257.5, 295.6, 278.0, 284.6, 277.3, 277.3, 273.1, 278.8],
                    [279.8, 286.5, 259.5, 287.2, 276.8, 282.0, 265.9, 283.8],
                    [276.2, 282.4, 252.7, 265.5, 252.9, 274.6, 265.5, 274.1],
                    [269.8, 267.4, 292.5, 256.7, 274.3, 278.9, 270.3, 252.5],
                ],
                [
                    [287.4, 275.6, 287.9, 284.6, 281.7, 280.5, 267.8, 283.9],
                    [292.0, 286.4, 276.1, 277.8, 280.8, 268.4, 281.6, 262.4],
                    [260.7, 265.9, 274.9, 275.9, 277.3, 286.2, 296.4, 280.1],
                    [251.1, 283.6, 265.0, 280.6, 254.8, 251.6, 275.2, 279.2],
                    [273.3, 272.0, 254.3, 287.5, 275.3, 282.1, 272.6, 266.8],
                ],
                [
                    [279.6, 268.3, 280.6, 267.5, 260.8, 268.2, 276.2, 247.4],
                    [268.1, 275.0, 278.7, 265.8, 283.8, 271.6, 284.5, 276.6],
                    [269.7, 270.1, 274.9, 252.2, 285.5, 254.3, 266.2, 270.6],
                    [274.1, 273.7, 269.4, 262.9, 281.7, 282.7, 270.0, 264.8],
                    [280.7, 265.3, 291.6, 281.2, 273.1, 273.5, 291.3, 274.4],
                ],
                [
                    [270.4, 273.8, 260.8, 262.9, 268.9, 278.1, 261.7, 257.3],
                    [262.4, 261.2, 265.5, 276.6, 264.4, 271.6, 272.9, 273.3],
                    [247.1, 271.7, 272.0, 279.3, 269.3, 255.2, 279.9, 272.8],
                    [291.6, 279.5, 263.2, 285.0, 263.5, 257.0, 274.2, 270.1],
                    [261.5, 270.7, 280.2, 264.5, 267.0, 260.3, 277.4, 288.1],
                ],
                [
                    [261.5, 285.4, 275.3, 276.7, 279.4, 269.1, 264.1, 254.2],
                    [262.1, 272.5, 262.2, 275.6, 276.1, 269.9, 263.3, 281.2],
                    [287.1, 276.5, 285.9, 267.1, 274.2, 269.0, 265.3, 281.2],
                    [265.7, 278.5, 251.2, 269.6, 263.7, 260.4, 264.8, 280.3],
                    [269.0, 269.8, 262.3, 277.5, 269.8, 269.3, 262.7, 266.8],
                ],
                [
                    [287.6, 279.1, 268.2, 285.1, 286.4, 260.3, 267.4, 275.6],
                    [263.2, 280.9, 271.3, 271.5, 263.9, 280.2, 265.9, 283.9],
                    [272.8, 280.7, 272.9, 263.4, 264.2, 280.2, 289.7, 279.0],
                    [279.0, 279.7, 285.9, 293.0, 299.2, 268.6, 274.9, 279.1],
                    [261.8, 277.4, 275.8, 262.5, 275.9, 265.9, 284.6, 264.7],
                ],
                [
                    [265.2, 284.8, 277.7, 267.9, 265.4, 283.8, 276.7, 274.6],
                    [274.6, 273.5, 285.1, 268.8, 272.6, 268.6, 284.2, 288.1],
                    [268.9, 271.7, 274.2, 280.7, 288.0, 280.6, 269.8, 278.0],
                    [263.6, 261.7, 279.2, 271.7, 280.5, 246.8, 263.4, 266.8],
                    [268.9, 266.0, 269.0, 273.5, 287.7, 272.5, 278.3, 269.5],
                ],
                [
                    [265.0, 269.2, 275.2, 263.1, 293.9, 275.4, 256.5, 262.7],
                    [272.2, 276.3, 286.5, 255.0, 264.8, 287.4, 277.6, 249.9],
                    [283.1, 278.2, 285.0, 268.0, 277.9, 259.3, 261.4, 279.2],
                    [278.7, 277.0, 254.3, 281.4, 283.8, 266.5, 260.9, 267.0],
                    [282.3, 273.5, 278.7, 290.6, 274.6, 284.2, 281.4, 284.3],
                ],
                [
                    [277.0, 268.1, 269.3, 272.3, 286.1, 266.7, 294.1, 274.9],
                    [261.3, 265.1, 283.2, 258.9, 278.1, 275.1, 284.4, 287.3],
                    [264.6, 274.7, 270.3, 261.1, 274.0, 287.4, 267.2, 277.8],
                    [276.2, 284.9, 281.6, 265.8, 253.0, 270.2, 276.5, 282.8],
                    [244.8, 282.7, 265.0, 261.4, 277.6, 283.7, 285.7, 267.3],
                ],
                [
                    [276.9, 275.1, 256.0, 270.9, 285.0, 271.6, 272.0, 268.9],
                    [244.3, 266.3, 285.2, 266.5, 279.4, 271.0, 267.2, 274.7],
                    [275.0, 264.0, 280.7, 286.7, 275.2, 280.2, 282.1, 271.0],
                    [272.8, 265.3, 278.5, 283.8, 291.0, 280.9, 266.6, 269.2],
                    [287.0, 263.0, 269.0, 263.4, 267.3, 256.1, 280.7, 263.3],
                ],
                [
                    [264.8, 281.0, 286.5, 260.8, 285.7, 262.2, 260.5, 267.2],
                    [277.2, 285.5, 263.2, 259.4, 266.5, 271.3, 272.8, 259.7],
                    [273.8, 286.1, 271.7, 263.6, 286.8, 270.7, 277.0, 262.0],
                    [279.0, 262.3, 283.9, 257.4, 279.4, 261.5, 276.1, 264.8],
                    [266.3, 268.7, 264.2, 279.7, 287.5, 271.9, 262.9, 272.0],
                ],
                [
                    [288.8, 263.8, 278.6, 276.3, 269.9, 247.4, 258.2, 286.5],
                    [284.4, 262.1, 262.1, 265.7, 275.7, 265.7, 269.6, 281.1],
                    [259.3, 288.6, 267.9, 268.0, 274.9, 274.8, 255.8, 270.7],
                    [270.7, 276.4, 288.7, 276.5, 279.7, 251.3, 274.0, 281.2],
                    [258.4, 277.9, 262.8, 272.4, 286.9, 277.0, 279.6, 291.4],
                ],
                [
                    [282.9, 289.5, 275.3, 281.6, 271.8, 275.7, 282.4, 265.0],
                    [250.2, 288.4, 278.6, 269.3, 264.3, 285.2, 259.2, 263.9],
                    [271.0, 280.5, 272.9, 269.5, 277.2, 276.4, 247.4, 302.6],
                    [276.1, 254.1, 300.1, 279.7, 265.7, 270.9, 281.0, 264.6],
                    [260.8, 258.2, 287.8, 277.3, 276.3, 258.8, 283.3, 273.4],
                ],
                [
                    [287.8, 276.5, 281.3, 290.4, 248.3, 279.4, 265.3, 277.0],
                    [262.0, 266.8, 274.4, 273.1, 287.7, 268.5, 276.0, 275.8],
                    [280.5, 281.0, 258.2, 268.6, 266.0, 274.2, 260.6, 257.3],
                    [274.1, 265.9, 263.6, 267.9, 277.5, 277.1, 264.6, 275.6],
                    [284.1, 267.1, 272.9, 262.4, 264.9, 283.6, 270.7, 274.8],
                ],
                [
                    [262.7, 275.7, 276.7, 269.0, 274.4, 266.2, 270.8, 258.2],
                    [262.2, 271.5, 276.8, 283.7, 287.6, 278.3, 268.9, 262.6],
                    [280.8, 269.7, 273.0, 275.2, 260.9, 246.2, 288.0, 274.2],
                    [264.8, 288.0, 258.0, 270.1, 276.8, 280.9, 271.2, 274.1],
                    [259.9, 284.3, 292.6, 273.7, 270.2, 290.0, 272.4, 278.5],
                ],
                [
                    [255.0, 268.8, 260.8, 280.4, 269.7, 275.9, 282.3, 279.8],
                    [276.1, 284.3, 275.5, 263.6, 254.1, 265.5, 271.2, 274.5],
                    [281.3, 269.2, 281.2, 292.6, 284.0, 251.0, 271.4, 276.0],
                    [278.0, 266.5, 282.5, 272.1, 283.1, 270.0, 281.2, 250.7],
                    [279.9, 271.5, 286.0, 289.7, 259.0, 279.6, 264.3, 286.0],
                ],
                [
                    [278.7, 270.2, 269.1, 263.8, 285.6, 285.3, 252.7, 271.3],
                    [282.5, 278.2, 285.7, 267.2, 271.0, 278.2, 278.1, 270.0],
                    [282.5, 261.9, 268.3, 278.6, 279.8, 276.1, 275.5, 272.7],
                    [273.3, 286.7, 297.1, 277.4, 272.2, 268.7, 289.2, 274.8],
                    [270.0, 278.6, 277.3, 269.1, 255.0, 277.0, 271.3, 263.4],
                ],
                [
                    [265.3, 270.9, 271.1, 276.2, 260.0, 277.5, 267.1, 259.3],
                    [259.2, 271.4, 287.1, 288.8, 265.3, 274.7, 277.0, 261.0],
                    [265.4, 283.4, 272.0, 272.8, 276.2, 271.8, 270.6, 280.9],
                    [283.6, 270.2, 271.2, 276.5, 268.7, 274.7, 275.7, 276.1],
                    [277.6, 279.7, 251.2, 285.2, 268.9, 275.1, 284.2, 271.5],
                ],
                [
                    [267.4, 261.0, 283.3, 269.1, 272.5, 263.9, 290.3, 257.6],
                    [264.5, 277.0, 282.8, 267.8, 286.2, 290.0, 283.1, 291.9],
                    [279.4, 261.9, 279.5, 262.4, 278.8, 278.7, 267.4, 272.1],
                    [274.6, 269.4, 290.0, 282.7, 274.5, 271.4, 268.4, 275.8],
                    [256.1, 264.2, 284.7, 267.2, 271.0, 263.2, 276.9, 277.7],
                ],
                [
                    [262.4, 266.1, 272.0, 279.0, 286.3, 259.2, 278.4, 264.0],
                    [283.9, 267.5, 276.3, 264.9, 262.6, 277.1, 268.6, 279.2],
                    [271.2, 257.6, 266.2, 299.8, 279.7, 270.3, 293.7, 256.1],
                    [293.1, 290.4, 282.9, 283.2, 278.9, 255.9, 266.3, 272.9],
                    [271.2, 255.9, 273.1, 254.2, 267.5, 272.5, 270.5, 281.1],
                ],
                [
                    [267.8, 271.9, 276.9, 265.0, 260.1, 291.9, 287.7, 272.5],
                    [270.0, 292.6, 282.1, 275.1, 274.0, 270.6, 280.5, 285.6],
                    [273.4, 270.6, 258.3, 267.3, 260.4, 284.7, 259.4, 296.0],
                    [280.9, 270.6, 273.0, 268.5, 282.0, 295.1, 283.0, 259.2],
                    [286.5, 267.2, 260.9, 260.6, 276.0, 276.3, 260.6, 273.8],
                ],
                [
                    [248.9, 284.4, 284.9, 272.2, 288.7, 266.3, 272.7, 279.8],
                    [274.7, 278.5, 275.1, 260.0, 277.1, 276.1, 278.0, 280.2],
                    [267.5, 253.5, 266.4, 267.0, 283.0, 269.9, 265.7, 248.3],
                    [270.6, 266.6, 260.1, 278.7, 293.7, 274.4, 273.6, 284.3],
                    [291.1, 287.7, 293.3, 272.9, 289.3, 271.5, 264.8, 272.1],
                ],
                [
                    [275.5, 271.5, 265.2, 298.2, 274.5, 263.3, 275.7, 285.8],
                    [284.6, 281.6, 271.0, 274.6, 262.3, 266.5, 268.1, 272.8],
                    [256.3, 262.6, 256.6, 292.2, 273.1, 287.6, 284.1, 263.4],
                    [292.0, 275.0, 260.0, 270.3, 258.7, 266.5, 273.1, 265.2],
                    [270.5, 273.5, 260.0, 280.1, 283.2, 282.2, 286.3, 280.6],
                ],
                [
                    [261.6, 286.0, 288.0, 286.7, 267.7, 265.3, 272.0, 256.4],
                    [271.8, 266.4, 260.4, 272.6, 268.7, 262.2, 269.6, 269.9],
                    [275.9, 281.0, 285.7, 271.3, 265.1, 263.6, 272.1, 264.9],
                    [298.8, 266.1, 269.2, 267.4, 277.4, 264.1, 262.9, 260.6],
                    [279.5, 263.5, 267.1, 259.3, 286.7, 267.9, 268.7, 276.2],
                ],
                [
                    [275.1, 275.0, 256.0, 261.4, 273.9, 273.7, 263.5, 266.9],
                    [263.9, 284.4, 282.9, 261.3, 275.6, 270.6, 258.6, 271.9],
                    [257.9, 272.3, 275.2, 272.2, 275.0, 289.1, 266.7, 276.6],
                    [283.9, 272.3, 270.0, 260.1, 270.5, 275.9, 275.6, 273.8],
                    [273.5, 269.5, 261.0, 278.1, 284.3, 262.6, 266.0, 271.4],
                ],
                [
                    [280.2, 272.6, 271.9, 283.6, 258.8, 274.2, 260.2, 270.7],
                    [276.4, 279.2, 282.1, 276.6, 278.5, 263.4, 274.7, 278.0],
                    [286.4, 265.1, 279.5, 243.6, 279.8, 281.4, 266.6, 276.4],
                    [265.8, 274.9, 263.3, 278.6, 289.6, 260.3, 267.0, 265.7],
                    [266.1, 263.7, 278.3, 267.4, 270.1, 253.0, 280.0, 275.1],
                ],
                [
                    [266.6, 265.7, 272.9, 273.6, 260.6, 271.8, 284.2, 285.6],
                    [268.4, 277.9, 268.6, 265.6, 259.7, 264.3, 272.2, 265.5],
                    [280.3, 283.1, 276.5, 261.6, 264.8, 267.9, 270.3, 282.4],
                    [270.6, 268.4, 254.2, 288.3, 281.0, 258.9, 273.9, 283.1],
                    [270.0, 267.0, 260.7, 275.1, 285.3, 279.1, 261.6, 270.3],
                ],
                [
                    [275.1, 262.0, 269.0, 280.9, 275.9, 271.9, 276.4, 275.0],
                    [285.3, 280.8, 269.3, 275.2, 276.8, 280.6, 290.2, 255.7],
                    [264.8, 280.8, 279.2, 275.2, 261.6, 280.8, 267.7, 282.6],
                    [259.4, 280.5, 264.9, 254.4, 269.2, 287.8, 278.7, 266.8],
                    [290.6, 278.2, 276.7, 261.8, 277.6, 264.4, 279.3, 258.9],
                ],
                [
                    [265.9, 287.0, 267.1, 267.3, 252.9, 269.2, 271.2, 252.7],
                    [262.0, 293.8, 276.6, 264.1, 270.0, 276.3, 277.2, 269.3],
                    [292.2, 270.0, 266.5, 260.7, 276.7, 284.4, 276.2, 269.0],
                    [260.5, 273.0, 269.1, 282.8, 261.4, 271.9, 275.2, 274.6],
                    [285.1, 272.6, 263.9, 270.1, 287.4, 282.0, 279.4, 264.7],
                ],
                [
                    [272.7, 257.4, 285.7, 260.9, 262.0, 287.7, 277.6, 277.3],
                    [279.9, 280.4, 278.3, 272.9, 278.8, 272.5, 282.9, 260.9],
                    [267.3, 274.3, 265.2, 287.9, 286.6, 269.5, 283.9, 265.8],
                    [274.3, 265.8, 276.6, 271.2, 276.8, 287.1, 257.2, 269.3],
                    [283.4, 269.9, 278.7, 272.3, 272.6, 268.4, 280.7, 266.7],
                ],
                [
                    [262.4, 278.1, 257.7, 280.3, 274.5, 285.5, 272.5, 283.3],
                    [268.8, 269.6, 278.0, 269.5, 277.7, 266.9, 285.6, 268.4],
                    [269.3, 287.8, 270.0, 271.4, 288.3, 285.3, 275.5, 300.0],
                    [273.6, 261.2, 284.5, 276.2, 271.4, 276.6, 266.2, 263.0],
                    [274.5, 275.4, 269.7, 274.6, 271.2, 260.3, 275.3, 265.1],
                ],
                [
                    [281.5, 288.1, 283.9, 275.4, 265.8, 271.4, 261.6, 260.1],
                    [257.7, 278.1, 286.9, 276.0, 271.3, 286.2, 277.2, 275.2],
                    [266.6, 278.6, 256.8, 264.8, 278.1, 261.7, 269.6, 278.0],
                    [283.8, 290.7, 274.1, 267.2, 258.9, 282.4, 292.4, 310.1],
                    [275.8, 280.5, 250.5, 276.1, 269.2, 294.5, 279.6, 268.5],
                ],
                [
                    [280.2, 268.9, 273.2, 270.7, 285.5, 276.7, 263.0, 255.3],
                    [276.8, 263.3, 266.9, 292.5, 260.9, 278.0, 278.0, 263.6],
                    [283.3, 294.0, 282.1, 277.8, 282.4, 270.7, 268.2, 285.4],
                    [266.9, 272.5, 288.0, 266.4, 279.6, 257.7, 288.5, 267.1],
                    [267.6, 267.1, 276.3, 268.3, 266.4, 269.1, 270.1, 274.4],
                ],
                [
                    [294.5, 269.9, 284.3, 276.0, 278.7, 289.9, 272.1, 273.0],
                    [274.5, 260.5, 283.4, 261.7, 281.3, 272.5, 268.9, 268.8],
                    [271.3, 277.3, 279.4, 269.1, 274.3, 274.2, 281.9, 269.7],
                    [280.2, 267.1, 284.0, 270.8, 276.6, 271.6, 271.5, 267.7],
                    [266.9, 272.4, 267.8, 279.6, 262.5, 253.3, 265.8, 256.1],
                ],
                [
                    [269.9, 282.7, 277.3, 270.7, 280.0, 276.0, 278.2, 257.2],
                    [271.8, 265.5, 271.6, 274.9, 272.9, 289.5, 258.8, 260.8],
                    [287.4, 266.8, 285.1, 275.6, 292.4, 262.5, 269.3, 279.0],
                    [269.9, 268.1, 259.4, 274.3, 290.3, 271.1, 290.3, 276.5],
                    [272.8, 264.2, 264.4, 277.6, 264.3, 290.3, 265.4, 266.4],
                ],
                [
                    [268.4, 277.8, 287.6, 273.6, 281.8, 262.4, 265.5, 289.1],
                    [289.5, 264.5, 275.2, 256.3, 259.8, 290.0, 260.7, 272.7],
                    [281.6, 278.4, 266.6, 264.4, 264.6, 264.2, 281.8, 271.2],
                    [285.1, 282.4, 289.6, 262.2, 285.0, 273.2, 257.9, 280.2],
                    [290.3, 284.4, 299.6, 266.6, 261.0, 273.5, 274.5, 284.6],
                ],
                [
                    [270.8, 282.5, 290.8, 266.6, 285.0, 275.8, 290.5, 268.7],
                    [281.1, 283.5, 279.0, 272.2, 276.8, 280.3, 272.9, 275.6],
                    [283.8, 269.0, 276.2, 265.1, 283.9, 285.1, 280.4, 273.9],
                    [271.5, 280.2, 280.5, 278.4, 265.4, 271.7, 287.2, 261.4],
                    [290.3, 251.7, 269.1, 279.9, 281.1, 270.9, 259.6, 284.7],
                ],
                [
                    [279.0, 264.6, 274.8, 282.1, 271.7, 254.4, 268.8, 271.1],
                    [293.9, 283.5, 265.1, 263.8, 278.4, 263.5, 270.8, 270.8],
                    [266.6, 257.7, 277.7, 275.2, 257.4, 269.6, 289.5, 269.2],
                    [274.4, 287.4, 277.3, 257.5, 269.0, 271.2, 272.6, 272.8],
                    [272.5, 271.5, 260.6, 274.3, 274.7, 262.7, 260.6, 253.6],
                ],
                [
                    [278.7, 267.4, 279.0, 271.9, 269.8, 260.8, 284.9, 282.4],
                    [288.6, 262.9, 260.4, 272.2, 271.1, 280.6, 273.7, 282.8],
                    [272.1, 264.7, 284.6, 299.6, 258.7, 265.3, 269.5, 276.7],
                    [286.5, 271.9, 282.3, 266.2, 277.7, 260.4, 267.9, 287.9],
                    [269.8, 255.4, 276.4, 281.8, 266.6, 275.7, 288.3, 265.8],
                ],
                [
                    [261.3, 245.6, 265.9, 267.4, 266.7, 276.5, 272.7, 256.9],
                    [264.1, 285.6, 278.5, 269.2, 268.6, 259.6, 253.3, 260.1],
                    [272.9, 266.8, 278.3, 280.0, 283.0, 281.2, 276.7, 275.0],
                    [273.1, 261.5, 276.6, 272.7, 280.9, 287.7, 273.2, 274.7],
                    [285.0, 271.5, 271.9, 264.1, 278.7, 273.1, 271.5, 255.9],
                ],
                [
                    [264.6, 288.9, 278.1, 253.0, 281.4, 294.3, 252.1, 260.7],
                    [273.0, 275.1, 283.2, 256.1, 284.4, 283.8, 274.2, 288.1],
                    [260.1, 269.9, 277.9, 281.7, 282.4, 280.8, 278.3, 278.7],
                    [275.0, 274.1, 281.0, 269.8, 276.6, 276.2, 263.7, 264.0],
                    [280.4, 280.4, 257.8, 249.8, 275.1, 265.2, 261.9, 285.8],
                ],
                [
                    [269.3, 274.1, 277.9, 265.4, 272.4, 274.9, 272.8, 270.7],
                    [276.4, 280.4, 294.0, 260.7, 281.6, 271.0, 283.6, 277.4],
                    [278.9, 257.9, 268.4, 279.0, 278.0, 276.4, 260.1, 260.9],
                    [282.2, 272.1, 249.6, 289.8, 269.7, 280.0, 280.9, 266.1],
                    [251.9, 269.4, 270.0, 278.7, 265.4, 271.9, 282.9, 256.7],
                ],
                [
                    [258.5, 291.3, 274.2, 273.1, 276.9, 280.7, 275.0, 259.9],
                    [262.6, 266.9, 261.4, 274.7, 267.8, 296.9, 271.9, 261.0],
                    [266.9, 273.3, 274.6, 274.2, 264.5, 271.5, 288.2, 289.1],
                    [270.4, 288.9, 276.0, 268.6, 277.1, 277.8, 277.2, 284.2],
                    [279.6, 265.8, 280.9, 295.2, 255.6, 269.8, 265.8, 259.3],
                ],
                [
                    [261.9, 275.9, 262.0, 273.1, 268.1, 277.6, 265.8, 285.0],
                    [260.2, 280.5, 262.2, 263.6, 264.0, 275.7, 262.7, 286.0],
                    [250.8, 284.8, 260.6, 272.9, 290.0, 264.2, 266.3, 264.6],
                    [278.6, 292.3, 272.7, 284.3, 285.9, 278.1, 273.1, 272.0],
                    [248.7, 268.6, 280.3, 274.9, 272.8, 298.1, 272.7, 281.5],
                ],
                [
                    [282.3, 279.1, 265.4, 269.3, 258.5, 264.1, 272.3, 279.0],
                    [268.5, 274.1, 265.4, 256.7, 279.8, 275.6, 270.7, 285.5],
                    [269.1, 297.5, 283.9, 244.9, 258.4, 272.7, 265.2, 265.2],
                    [289.8, 281.7, 278.2, 299.5, 281.1, 270.7, 269.4, 275.4],
                    [273.0, 287.2, 272.5, 274.0, 287.7, 275.6, 278.4, 266.4],
                ],
                [
                    [287.8, 302.7, 261.9, 270.8, 285.9, 285.5, 262.4, 274.5],
                    [281.9, 273.0, 268.4, 265.0, 279.0, 258.6, 266.1, 280.5],
                    [274.5, 277.5, 283.3, 266.4, 287.0, 270.0, 265.0, 269.0],
                    [287.4, 257.5, 269.6, 275.0, 278.6, 287.2, 279.4, 282.2],
                    [261.1, 265.7, 281.6, 271.7, 278.0, 272.4, 278.9, 264.4],
                ],
                [
                    [280.2, 269.2, 247.1, 286.4, 273.2, 270.5, 284.3, 264.1],
                    [280.4, 264.9, 274.1, 275.1, 273.8, 286.6, 286.8, 276.2],
                    [264.1, 274.5, 276.3, 263.8, 277.7, 265.6, 269.1, 271.3],
                    [269.9, 287.5, 283.1, 267.8, 272.5, 272.0, 268.1, 291.4],
                    [267.6, 290.6, 277.0, 283.0, 285.9, 261.4, 274.7, 275.9],
                ],
                [
                    [295.2, 298.9, 273.2, 274.7, 268.2, 274.9, 273.0, 277.7],
                    [261.1, 283.1, 261.0, 295.8, 284.1, 276.2, 280.9, 281.2],
                    [265.5, 277.7, 270.3, 260.5, 252.6, 273.5, 271.3, 278.4],
                    [286.9, 266.0, 277.0, 277.8, 280.6, 260.7, 277.7, 272.2],
                    [272.3, 291.7, 260.2, 272.0, 286.3, 276.4, 285.2, 260.8],
                ],
                [
                    [285.7, 275.2, 279.7, 266.4, 269.5, 273.6, 272.7, 274.0],
                    [276.0, 265.2, 278.8, 271.5, 288.0, 273.8, 269.9, 254.7],
                    [262.7, 258.9, 279.5, 265.9, 276.1, 283.3, 286.1, 286.4],
                    [268.8, 272.1, 281.3, 269.7, 255.5, 273.0, 273.2, 275.1],
                    [255.8, 282.3, 262.0, 276.3, 289.3, 270.5, 265.6, 267.7],
                ],
                [
                    [293.2, 280.3, 295.2, 273.1, 263.9, 266.4, 278.2, 279.8],
                    [283.8, 280.8, 280.5, 263.9, 279.7, 269.4, 246.4, 263.9],
                    [271.1, 257.8, 266.7, 263.8, 264.6, 256.0, 273.8, 298.3],
                    [278.6, 282.3, 267.9, 265.2, 277.1, 273.2, 283.6, 277.0],
                    [290.1, 275.6, 265.0, 267.6, 265.7, 263.7, 277.6, 290.6],
                ],
                [
                    [275.3, 294.0, 267.9, 268.1, 268.5, 286.1, 289.5, 261.5],
                    [263.4, 276.0, 257.0, 289.8, 280.5, 262.4, 279.0, 272.5],
                    [280.0, 272.6, 279.6, 258.1, 271.4, 271.1, 290.0, 241.2],
                    [268.4, 290.5, 281.8, 276.8, 277.6, 282.8, 274.1, 267.6],
                    [275.6, 272.5, 260.1, 261.6, 264.9, 266.8, 277.0, 256.7],
                ],
                [
                    [263.9, 274.4, 279.7, 260.2, 271.7, 270.0, 272.9, 271.1],
                    [281.6, 293.4, 286.1, 277.4, 275.0, 286.5, 279.0, 267.1],
                    [282.3, 272.2, 283.8, 277.5, 292.2, 287.3, 275.5, 274.4],
                    [278.2, 267.3, 276.3, 268.8, 264.1, 257.0, 278.8, 282.5],
                    [294.8, 280.0, 276.5, 266.6, 278.3, 256.7, 264.4, 291.7],
                ],
                [
                    [274.2, 259.3, 267.9, 268.5, 279.0, 264.4, 263.2, 269.1],
                    [280.5, 272.5, 264.1, 290.7, 288.6, 263.6, 279.9, 278.5],
                    [276.4, 277.5, 275.6, 283.6, 288.1, 270.3, 286.0, 281.5],
                    [255.3, 259.7, 261.7, 290.6, 295.0, 280.1, 254.9, 262.2],
                    [255.4, 257.5, 273.1, 257.7, 258.4, 294.7, 279.3, 282.0],
                ],
                [
                    [270.4, 273.0, 256.5, 259.9, 268.2, 258.4, 275.5, 294.0],
                    [280.1, 263.8, 258.3, 274.2, 273.0, 259.8, 253.7, 267.3],
                    [278.0, 260.8, 263.1, 269.8, 291.2, 279.7, 261.4, 288.6],
                    [272.1, 292.0, 287.7, 272.4, 273.5, 275.2, 270.0, 268.1],
                    [286.6, 289.0, 268.9, 277.8, 276.3, 278.3, 262.5, 280.1],
                ],
                [
                    [275.3, 283.6, 274.4, 272.1, 272.1, 271.1, 273.2, 288.4],
                    [287.5, 258.1, 286.5, 277.6, 279.5, 288.8, 261.1, 281.0],
                    [272.5, 264.2, 258.5, 260.8, 267.7, 263.1, 277.2, 280.8],
                    [265.9, 280.6, 273.1, 244.5, 266.9, 270.7, 277.0, 266.7],
                    [262.6, 271.8, 270.4, 264.7, 277.9, 267.0, 281.2, 270.1],
                ],
                [
                    [269.0, 265.1, 271.9, 260.6, 266.8, 255.9, 289.6, 257.0],
                    [263.2, 271.7, 279.0, 296.9, 271.8, 280.4, 289.9, 277.7],
                    [251.9, 272.5, 265.7, 272.6, 260.0, 289.5, 262.7, 267.6],
                    [272.1, 261.7, 265.0, 272.5, 260.6, 283.2, 273.3, 274.1],
                    [264.0, 266.1, 278.9, 261.3, 266.3, 277.6, 281.9, 284.8],
                ],
                [
                    [258.6, 265.0, 272.3, 275.7, 279.0, 265.1, 270.8, 258.5],
                    [266.0, 267.3, 272.9, 274.0, 267.3, 260.6, 280.1, 268.4],
                    [271.9, 263.6, 266.4, 270.7, 249.5, 286.0, 283.6, 279.2],
                    [286.9, 288.0, 271.0, 272.5, 271.0, 268.6, 274.6, 267.2],
                    [269.9, 285.8, 287.2, 277.3, 263.6, 273.8, 281.6, 264.7],
                ],
                [
                    [269.3, 262.2, 271.6, 265.8, 277.2, 276.9, 273.2, 255.7],
                    [257.7, 266.9, 269.7, 255.2, 265.2, 301.2, 284.5, 284.7],
                    [292.6, 268.3, 267.8, 283.6, 262.1, 276.8, 257.8, 271.6],
                    [259.7, 289.9, 268.4, 277.1, 281.3, 280.5, 265.2, 266.4],
                    [261.3, 270.0, 266.3, 271.8, 266.7, 254.9, 281.9, 268.6],
                ],
                [
                    [284.2, 272.6, 278.2, 288.0, 277.0, 261.2, 263.4, 277.3],
                    [292.5, 270.3, 273.6, 280.3, 261.1, 275.7, 287.1, 278.1],
                    [295.6, 289.6, 259.1, 266.5, 272.6, 263.2, 272.3, 273.0],
                    [277.6, 265.0, 267.4, 286.5, 276.2, 276.7, 284.1, 272.1],
                    [268.4, 273.3, 279.4, 271.9, 261.0, 258.6, 254.6, 269.2],
                ],
                [
                    [283.8, 265.7, 276.6, 273.9, 268.4, 273.4, 253.4, 271.6],
                    [276.3, 267.8, 261.1, 267.5, 264.4, 272.4, 291.2, 278.9],
                    [264.5, 288.0, 272.0, 275.1, 272.2, 275.9, 273.7, 276.4],
                    [261.7, 252.8, 263.5, 279.2, 285.4, 278.1, 257.6, 264.5],
                    [267.9, 271.1, 273.4, 276.0, 270.4, 280.8, 272.3, 271.2],
                ],
                [
                    [272.1, 283.6, 274.5, 271.8, 260.5, 254.9, 280.2, 257.2],
                    [274.4, 273.8, 263.3, 272.1, 268.6, 279.6, 268.9, 255.7],
                    [288.6, 288.7, 260.7, 260.6, 273.0, 270.3, 260.6, 281.4],
                    [256.1, 279.3, 273.7, 250.0, 264.3, 279.6, 277.0, 282.7],
                    [278.4, 265.3, 272.3, 274.0, 270.8, 272.3, 275.2, 285.1],
                ],
                [
                    [279.1, 268.2, 268.7, 275.2, 280.5, 274.3, 285.5, 249.8],
                    [281.2, 267.2, 269.4, 254.8, 284.3, 265.8, 275.3, 260.3],
                    [282.4, 281.2, 274.6, 277.3, 272.2, 256.8, 273.4, 284.1],
                    [281.1, 288.6, 269.8, 281.0, 264.7, 258.8, 281.7, 255.5],
                    [278.4, 280.5, 273.5, 272.0, 279.4, 278.1, 295.4, 246.6],
                ],
                [
                    [270.0, 259.1, 266.0, 288.3, 268.3, 258.3, 270.1, 286.4],
                    [268.0, 266.1, 276.0, 253.1, 272.1, 271.2, 270.4, 270.7],
                    [279.8, 282.8, 264.2, 257.1, 292.4, 276.8, 270.5, 256.9],
                    [281.7, 280.6, 276.0, 266.0, 278.0, 278.5, 282.8, 268.0],
                    [275.3, 262.2, 251.9, 270.9, 273.2, 287.4, 285.4, 263.5],
                ],
                [
                    [282.1, 283.6, 269.3, 276.5, 274.8, 271.5, 276.9, 274.5],
                    [270.7, 274.9, 286.1, 285.4, 277.8, 269.6, 269.9, 276.3],
                    [273.1, 278.9, 264.2, 277.1, 257.9, 271.7, 278.9, 262.2],
                    [292.8, 262.7, 276.5, 274.8, 266.3, 278.1, 277.9, 267.2],
                    [284.3, 276.9, 282.4, 292.9, 269.5, 269.0, 270.2, 284.6],
                ],
                [
                    [273.7, 285.3, 272.8, 255.1, 275.0, 269.7, 255.4, 277.4],
                    [278.6, 272.9, 273.1, 299.3, 271.3, 274.8, 262.7, 272.2],
                    [272.7, 278.3, 260.2, 264.1, 288.9, 283.2, 259.9, 271.9],
                    [278.5, 270.0, 265.9, 276.4, 270.0, 255.6, 263.7, 260.0],
                    [273.4, 266.5, 267.4, 286.9, 268.0, 269.7, 275.1, 269.9],
                ],
                [
                    [250.5, 267.5, 277.8, 287.8, 276.0, 272.6, 274.8, 292.1],
                    [263.8, 276.1, 265.4, 266.5, 262.2, 257.9, 275.3, 267.0],
                    [276.2, 277.0, 276.8, 295.3, 285.2, 257.5, 259.0, 287.8],
                    [291.8, 257.9, 271.5, 253.3, 270.8, 273.7, 270.7, 280.3],
                    [270.4, 262.5, 272.5, 268.6, 282.5, 254.3, 272.1, 280.2],
                ],
                [
                    [274.4, 290.9, 276.8, 267.3, 274.7, 289.6, 267.5, 292.8],
                    [260.7, 281.5, 264.6, 272.4, 259.0, 274.3, 279.7, 272.6],
                    [273.2, 262.4, 269.2, 280.0, 275.7, 270.5, 286.6, 293.1],
                    [267.2, 277.4, 274.5, 274.4, 274.2, 298.3, 286.3, 265.0],
                    [285.1, 272.3, 263.6, 282.3, 248.3, 275.0, 254.5, 288.2],
                ],
                [
                    [273.3, 268.5, 282.8, 259.8, 251.3, 270.6, 259.7, 269.6],
                    [269.6, 278.6, 281.7, 286.3, 283.3, 255.9, 267.4, 283.3],
                    [256.9, 272.4, 273.2, 263.5, 269.9, 277.0, 259.4, 289.0],
                    [249.0, 271.5, 279.6, 264.4, 264.4, 263.8, 269.5, 266.3],
                    [274.4, 278.7, 262.8, 286.0, 282.3, 282.2, 267.3, 273.7],
                ],
                [
                    [266.9, 259.2, 262.7, 286.4, 257.2, 265.0, 261.5, 283.8],
                    [275.8, 285.6, 284.7, 258.0, 277.1, 281.5, 266.8, 256.5],
                    [279.2, 273.6, 267.9, 266.6, 278.4, 275.8, 257.4, 258.7],
                    [269.9, 247.3, 288.3, 265.3, 269.2, 268.7, 267.9, 280.9],
                    [252.7, 276.1, 267.5, 279.1, 276.5, 279.8, 257.0, 264.3],
                ],
                [
                    [284.5, 284.9, 267.2, 274.0, 284.2, 285.8, 274.6, 279.3],
                    [274.4, 281.6, 260.7, 253.7, 264.9, 261.2, 279.6, 284.1],
                    [260.1, 276.5, 278.0, 264.0, 264.1, 271.5, 265.2, 290.4],
                    [274.2, 262.7, 284.7, 290.1, 279.3, 263.6, 279.3, 270.4],
                    [271.5, 273.7, 264.5, 271.8, 286.5, 263.7, 272.3, 273.6],
                ],
                [
                    [274.6, 255.3, 290.2, 273.7, 268.6, 267.0, 284.3, 257.5],
                    [260.7, 248.0, 271.0, 279.5, 279.1, 278.6, 258.2, 290.7],
                    [264.4, 281.6, 271.5, 283.0, 276.7, 292.1, 274.3, 267.2],
                    [280.3, 266.8, 272.8, 267.6, 271.0, 272.1, 285.2, 262.9],
                    [267.5, 256.5, 283.1, 280.3, 263.4, 270.6, 274.9, 268.2],
                ],
                [
                    [277.8, 270.0, 288.3, 276.6, 276.9, 267.6, 286.9, 275.1],
                    [282.3, 259.3, 273.5, 295.0, 282.6, 273.9, 275.9, 288.2],
                    [269.0, 270.2, 292.6, 254.1, 271.9, 271.7, 271.7, 279.6],
                    [279.5, 252.0, 285.7, 260.6, 252.7, 275.4, 290.4, 277.3],
                    [276.0, 281.8, 270.6, 272.5, 259.3, 274.4, 290.2, 278.3],
                ],
                [
                    [256.6, 274.6, 274.0, 285.3, 263.0, 266.5, 264.6, 277.0],
                    [276.0, 279.5, 272.4, 259.3, 273.0, 276.7, 286.7, 284.0],
                    [279.8, 265.5, 272.2, 276.8, 283.9, 272.7, 287.7, 263.0],
                    [267.9, 266.4, 274.4, 251.5, 279.1, 274.1, 258.6, 284.7],
                    [279.9, 274.3, 268.2, 273.2, 284.7, 291.7, 257.4, 281.0],
                ],
                [
                    [264.8, 274.6, 275.8, 269.6, 263.1, 254.5, 286.9, 260.2],
                    [279.8, 281.9, 277.0, 256.9, 268.3, 277.3, 258.9, 268.9],
                    [255.6, 269.4, 290.6, 276.8, 261.0, 261.6, 286.6, 279.8],
                    [295.8, 270.1, 259.1, 286.5, 282.2, 269.1, 274.1, 293.4],
                    [281.4, 264.5, 258.0, 283.1, 272.5, 263.5, 269.8, 266.1],
                ],
                [
                    [281.0, 287.9, 289.3, 251.7, 284.6, 273.3, 269.2, 274.5],
                    [268.7, 266.3, 265.5, 271.6, 258.9, 270.1, 277.6, 279.0],
                    [250.8, 277.2, 260.2, 285.0, 263.0, 279.1, 278.1, 251.8],
                    [267.4, 272.5, 250.2, 283.1, 269.6, 275.8, 257.6, 275.4],
                    [273.7, 261.9, 258.7, 267.0, 277.0, 272.1, 280.8, 265.4],
                ],
                [
                    [281.4, 274.2, 274.0, 278.7, 282.4, 285.4, 262.9, 266.7],
                    [294.3, 283.0, 282.1, 269.5, 266.3, 292.0, 258.3, 273.1],
                    [274.7, 257.9, 264.8, 261.9, 247.3, 284.5, 283.9, 274.9],
                    [287.1, 273.3, 286.9, 283.1, 288.3, 265.8, 272.0, 295.6],
                    [276.9, 267.3, 271.6, 275.2, 279.6, 277.0, 262.8, 265.3],
                ],
                [
                    [277.1, 289.1, 284.3, 279.8, 276.7, 290.2, 265.7, 260.0],
                    [260.8, 251.6, 263.8, 267.6, 266.2, 259.9, 276.7, 267.7],
                    [273.2, 265.0, 281.7, 270.2, 281.7, 259.8, 264.0, 260.8],
                    [275.8, 274.9, 279.4, 283.3, 272.6, 273.0, 279.1, 288.0],
                    [266.9, 261.1, 270.0, 289.2, 250.5, 276.0, 289.7, 281.9],
                ],
                [
                    [274.8, 273.8, 277.1, 288.6, 277.1, 257.3, 277.7, 279.4],
                    [278.3, 269.0, 278.2, 277.3, 275.1, 266.6, 280.7, 276.7],
                    [270.3, 257.8, 264.6, 271.6, 287.7, 274.0, 272.5, 265.8],
                    [259.1, 269.2, 290.7, 281.9, 270.4, 287.1, 290.8, 290.0],
                    [285.0, 273.4, 283.4, 278.1, 286.7, 259.6, 249.6, 273.6],
                ],
                [
                    [269.2, 291.3, 282.4, 279.8, 269.8, 272.5, 271.7, 261.8],
                    [261.1, 273.4, 287.5, 282.1, 262.1, 275.4, 271.9, 269.1],
                    [266.1, 272.4, 270.5, 281.2, 271.9, 285.6, 259.6, 290.2],
                    [270.5, 275.9, 255.8, 275.6, 277.8, 272.3, 271.8, 278.8],
                    [268.7, 277.8, 267.6, 264.7, 279.0, 258.8, 288.6, 277.3],
                ],
                [
                    [272.1, 267.0, 251.9, 277.8, 263.8, 275.8, 275.8, 293.0],
                    [264.4, 268.3, 261.4, 266.6, 283.4, 282.3, 255.5, 272.3],
                    [262.7, 285.2, 276.2, 283.8, 275.3, 274.8, 290.9, 280.4],
                    [275.2, 263.9, 275.8, 267.1, 267.2, 267.4, 269.2, 270.3],
                    [289.4, 259.3, 275.2, 274.0, 268.4, 280.8, 278.5, 266.6],
                ],
                [
                    [261.1, 264.3, 275.0, 282.6, 286.0, 271.9, 276.3, 263.2],
                    [280.9, 268.7, 274.8, 280.0, 263.5, 284.9, 279.8, 256.3],
                    [269.5, 274.8, 271.5, 273.5, 265.1, 283.4, 271.6, 269.9],
                    [293.7, 278.1, 267.6, 265.9, 261.6, 269.8, 272.4, 277.1],
                    [267.8, 292.5, 271.5, 279.8, 256.7, 271.9, 273.7, 275.1],
                ],
                [
                    [290.6, 269.7, 282.3, 277.8, 289.0, 284.4, 274.0, 275.3],
                    [261.0, 276.2, 282.4, 260.1, 274.1, 279.1, 280.7, 266.0],
                    [275.6, 265.3, 287.5, 272.9, 278.9, 258.9, 273.2, 264.0],
                    [287.0, 280.2, 268.2, 277.5, 277.2, 258.7, 263.0, 262.2],
                    [277.2, 293.3, 270.3, 265.9, 264.7, 262.0, 281.5, 275.9],
                ],
                [
                    [277.8, 282.3, 278.4, 263.6, 270.7, 275.2, 277.3, 281.0],
                    [275.2, 263.9, 285.6, 269.5, 272.8, 279.1, 269.4, 268.2],
                    [261.5, 267.2, 260.3, 293.5, 281.6, 280.1, 282.5, 274.3],
                    [279.7, 264.8, 258.8, 279.2, 278.6, 261.3, 261.7, 268.0],
                    [281.1, 258.5, 290.3, 268.9, 275.5, 272.2, 267.3, 276.0],
                ],
                [
                    [257.4, 261.4, 271.5, 273.8, 272.6, 254.5, 282.5, 262.8],
                    [260.2, 260.9, 280.4, 279.8, 268.2, 273.2, 275.6, 274.7],
                    [275.1, 277.5, 285.3, 280.8, 273.3, 263.0, 263.2, 297.7],
                    [274.7, 275.9, 265.6, 266.9, 273.4, 269.6, 279.8, 276.2],
                    [279.6, 268.9, 270.3, 269.1, 267.5, 282.4, 279.1, 252.3],
                ],
                [
                    [277.5, 272.1, 261.2, 266.4, 291.3, 273.9, 270.5, 270.9],
                    [275.4, 270.1, 260.8, 270.1, 277.3, 271.5, 280.9, 268.7],
                    [277.8, 277.3, 274.3, 269.1, 280.6, 283.8, 268.4, 278.3],
                    [291.0, 267.1, 261.3, 269.0, 271.5, 280.5, 274.5, 290.5],
                    [280.9, 268.4, 283.4, 284.3, 269.5, 261.1, 279.7, 288.4],
                ],
                [
                    [274.7, 258.8, 271.0, 272.1, 263.9, 268.4, 264.6, 288.0],
                    [280.5, 254.7, 272.6, 278.1, 250.7, 280.2, 285.2, 275.4],
                    [286.7, 281.5, 254.7, 276.5, 263.9, 281.3, 278.1, 273.0],
                    [259.4, 277.5, 271.9, 273.2, 264.0, 273.4, 286.5, 268.5],
                    [277.3, 270.3, 286.2, 273.9, 268.8, 282.7, 272.1, 274.1],
                ],
                [
                    [273.2, 257.3, 287.3, 268.4, 278.7, 272.9, 249.7, 272.8],
                    [272.3, 266.7, 284.1, 280.8, 265.1, 275.5, 282.5, 249.9],
                    [270.0, 272.4, 276.6, 269.2, 262.0, 289.0, 278.1, 282.9],
                    [277.6, 246.5, 264.1, 285.4, 279.1, 279.4, 279.2, 288.6],
                    [276.9, 259.9, 276.0, 252.1, 272.8, 277.6, 277.4, 281.5],
                ],
                [
                    [280.5, 277.4, 273.8, 284.9, 263.1, 262.4, 297.5, 274.8],
                    [265.6, 271.3, 294.9, 290.9, 275.9, 275.0, 279.2, 256.7],
                    [275.8, 266.7, 260.6, 273.5, 270.9, 266.2, 253.6, 270.1],
                    [282.8, 270.1, 269.4, 278.6, 276.0, 270.8, 279.3, 272.3],
                    [277.4, 282.5, 257.7, 267.2, 271.4, 267.1, 269.9, 253.6],
                ],
                [
                    [275.5, 272.7, 268.2, 253.0, 272.0, 272.8, 282.0, 274.8],
                    [271.3, 295.3, 275.4, 276.9, 270.7, 268.7, 281.0, 294.1],
                    [285.9, 254.7, 274.8, 259.6, 262.1, 279.0, 280.7, 275.5],
                    [276.9, 276.7, 258.6, 274.9, 281.7, 279.6, 267.7, 269.1],
                    [289.2, 256.6, 274.6, 254.9, 257.0, 280.3, 270.2, 272.6],
                ],
                [
                    [269.6, 270.3, 269.7, 279.4, 253.0, 257.1, 295.4, 287.3],
                    [264.8, 277.6, 271.6, 271.1, 268.8, 275.6, 262.6, 267.5],
                    [272.7, 256.1, 259.7, 273.3, 265.6, 287.5, 270.7, 283.3],
                    [262.8, 276.3, 263.5, 281.9, 264.6, 267.2, 260.5, 263.5],
                    [286.6, 267.0, 273.4, 277.2, 276.6, 287.9, 262.0, 261.8],
                ],
                [
                    [277.3, 277.7, 269.9, 263.9, 282.3, 281.7, 280.3, 269.8],
                    [275.0, 285.4, 290.3, 280.3, 265.4, 262.6, 251.7, 273.8],
                    [275.0, 276.3, 262.7, 266.6, 273.2, 269.0, 269.6, 256.1],
                    [271.4, 291.2, 275.5, 265.8, 274.0, 280.6, 291.5, 260.2],
                    [258.3, 281.9, 264.1, 278.0, 279.1, 269.8, 278.9, 257.5],
                ],
                [
                    [276.7, 280.6, 262.5, 260.8, 276.9, 284.7, 289.2, 245.8],
                    [266.1, 251.6, 267.1, 272.0, 275.1, 261.7, 272.0, 269.1],
                    [276.2, 267.4, 264.4, 279.1, 278.0, 261.8, 291.5, 268.1],
                    [281.6, 282.3, 267.2, 285.8, 267.3, 287.0, 262.5, 282.3],
                    [276.1, 276.5, 253.5, 274.9, 264.8, 262.6, 268.3, 276.9],
                ],
                [
                    [281.0, 290.1, 285.8, 279.5, 275.5, 286.3, 277.5, 268.3],
                    [284.4, 279.7, 290.9, 273.3, 275.1, 276.8, 270.6, 271.8],
                    [270.2, 271.8, 266.6, 269.5, 287.0, 281.4, 261.6, 264.1],
                    [276.7, 269.5, 278.1, 275.2, 281.0, 264.9, 275.4, 272.4],
                    [267.5, 287.3, 262.6, 270.7, 273.2, 280.5, 264.8, 263.9],
                ],
                [
                    [287.5, 290.3, 280.7, 271.0, 265.0, 274.3, 277.4, 265.4],
                    [271.6, 263.7, 294.4, 289.2, 273.0, 267.7, 276.1, 279.3],
                    [277.1, 273.6, 269.9, 258.6, 252.7, 276.9, 286.8, 266.5],
                    [277.3, 271.8, 269.1, 280.1, 291.2, 262.5, 263.6, 261.4],
                    [276.4, 260.8, 259.8, 265.0, 296.3, 269.9, 276.8, 278.7],
                ],
                [
                    [261.1, 260.2, 270.9, 269.2, 279.8, 243.0, 270.1, 265.4],
                    [275.1, 271.3, 271.6, 297.3, 275.4, 264.1, 275.1, 268.9],
                    [274.9, 277.0, 274.7, 280.4, 283.5, 269.7, 253.7, 272.1],
                    [271.8, 262.5, 259.3, 266.2, 279.2, 275.5, 276.8, 272.5],
                    [269.8, 277.3, 275.8, 283.6, 261.1, 268.3, 248.6, 262.8],
                ],
                [
                    [270.5, 274.3, 270.4, 269.5, 271.5, 273.9, 281.5, 276.6],
                    [277.3, 271.4, 294.4, 281.4, 269.7, 287.9, 260.6, 276.1],
                    [270.9, 271.2, 269.0, 269.8, 263.8, 263.1, 281.3, 288.1],
                    [263.8, 277.5, 270.3, 264.8, 270.0, 290.4, 265.1, 273.1],
                    [251.5, 282.6, 265.7, 262.8, 267.1, 269.4, 285.3, 269.2],
                ],
                [
                    [270.1, 281.4, 284.2, 263.7, 278.9, 266.2, 282.9, 273.6],
                    [286.6, 275.3, 281.8, 272.7, 265.7, 253.1, 269.1, 264.6],
                    [293.7, 278.5, 272.9, 275.7, 279.7, 281.6, 270.3, 260.9],
                    [277.6, 289.1, 253.7, 282.5, 285.1, 276.3, 260.7, 289.7],
                    [286.6, 289.8, 244.6, 286.1, 265.8, 289.2, 284.5, 284.1],
                ],
                [
                    [280.4, 269.5, 270.3, 274.6, 272.1, 284.9, 272.3, 276.4],
                    [265.1, 285.5, 267.2, 275.9, 277.2, 266.5, 280.4, 275.9],
                    [291.2, 265.5, 294.6, 258.7, 267.8, 269.9, 283.3, 275.3],
                    [270.5, 267.0, 263.4, 270.2, 279.5, 270.6, 265.6, 286.5],
                    [274.4, 277.7, 272.3, 267.6, 278.8, 267.4, 275.6, 265.9],
                ],
                [
                    [279.7, 272.4, 275.7, 276.4, 267.8, 263.7, 289.2, 296.3],
                    [279.9, 305.1, 272.7, 269.6, 273.8, 282.6, 277.3, 267.1],
                    [276.4, 274.6, 273.0, 265.4, 268.2, 283.6, 273.2, 260.1],
                    [285.8, 275.2, 253.9, 261.6, 268.5, 284.8, 268.9, 263.2],
                    [279.8, 281.4, 286.1, 275.0, 271.4, 280.0, 282.9, 279.9],
                ],
                [
                    [286.3, 290.2, 283.0, 250.6, 274.3, 257.9, 273.7, 285.2],
                    [286.2, 277.6, 266.2, 271.3, 262.4, 262.6, 273.9, 275.3],
                    [273.4, 285.1, 282.6, 289.2, 294.0, 265.3, 275.9, 257.5],
                    [283.3, 272.9, 255.5, 264.4, 280.0, 261.6, 283.3, 271.8],
                    [291.1, 279.2, 266.4, 264.4, 267.3, 284.5, 276.7, 265.7],
                ],
                [
                    [262.9, 284.6, 268.7, 277.1, 280.8, 267.9, 268.4, 273.8],
                    [257.7, 284.1, 292.8, 284.7, 271.5, 257.8, 271.2, 276.5],
                    [293.1, 285.6, 279.3, 266.0, 291.1, 273.8, 278.9, 272.9],
                    [258.5, 271.1, 271.4, 266.5, 261.7, 254.0, 280.3, 277.9],
                    [284.2, 257.3, 273.4, 258.4, 280.2, 279.0, 268.1, 264.2],
                ],
                [
                    [282.2, 266.1, 282.7, 296.2, 258.5, 269.3, 267.5, 286.1],
                    [264.6, 282.6, 255.9, 278.9, 267.8, 265.5, 270.1, 280.6],
                    [273.7, 274.2, 272.4, 275.9, 260.4, 289.8, 264.6, 277.4],
                    [272.6, 278.7, 283.1, 277.4, 278.2, 289.5, 271.6, 263.3],
                    [268.1, 268.8, 285.6, 259.7, 248.9, 282.8, 279.1, 273.2],
                ],
                [
                    [281.6, 276.5, 258.1, 265.5, 256.5, 266.2, 285.0, 276.8],
                    [278.5, 273.0, 279.2, 260.2, 268.4, 271.8, 266.4, 258.7],
                    [274.8, 258.4, 258.4, 279.9, 267.1, 279.5, 281.9, 281.7],
                    [275.0, 279.3, 267.4, 267.1, 275.9, 251.9, 273.9, 259.5],
                    [291.5, 262.5, 276.4, 281.7, 275.2, 260.9, 272.7, 277.5],
                ],
                [
                    [255.6, 257.6, 273.1, 272.6, 293.2, 260.9, 277.7, 280.5],
                    [254.3, 283.5, 275.1, 268.0, 293.5, 271.7, 283.8, 280.2],
                    [264.8, 261.5, 270.9, 278.2, 268.8, 278.5, 278.8, 270.3],
                    [279.5, 276.8, 271.4, 262.3, 273.4, 259.1, 280.3, 265.6],
                    [256.2, 278.8, 260.5, 262.3, 251.4, 286.6, 281.1, 259.6],
                ],
                [
                    [272.7, 274.6, 263.7, 276.5, 269.4, 287.5, 259.3, 281.9],
                    [284.4, 257.9, 245.8, 258.5, 258.6, 269.5, 262.1, 268.8],
                    [275.2, 263.3, 270.5, 285.4, 256.8, 280.1, 267.2, 276.7],
                    [272.6, 292.5, 281.8, 265.6, 270.6, 280.1, 272.6, 261.0],
                    [269.2, 272.2, 275.0, 250.4, 281.1, 269.8, 273.7, 277.4],
                ],
                [
                    [261.9, 289.6, 262.0, 286.8, 266.3, 263.4, 263.0, 274.8],
                    [284.5, 273.8, 272.9, 273.6, 264.3, 278.5, 269.5, 293.6],
                    [272.4, 268.8, 262.8, 270.0, 285.0, 264.0, 286.0, 294.4],
                    [279.9, 275.6, 256.9, 285.8, 268.5, 270.1, 268.0, 263.0],
                    [270.8, 279.4, 276.6, 274.5, 264.0, 277.9, 281.6, 269.4],
                ],
                [
                    [277.3, 271.4, 268.6, 262.2, 259.6, 262.5, 264.0, 278.7],
                    [273.8, 280.7, 275.7, 254.3, 270.0, 268.9, 278.2, 269.7],
                    [284.6, 270.7, 284.1, 277.3, 271.7, 276.2, 276.2, 270.5],
                    [288.2, 264.5, 262.5, 279.8, 272.5, 266.7, 260.6, 287.1],
                    [276.0, 286.9, 272.8, 279.3, 266.5, 281.7, 275.4, 274.1],
                ],
            ],
            units="K",
            dtype="f8",
        )
        f.set_data(data, axes=("domainaxis0", "domainaxis1", "domainaxis2"))

        # dimension_coordinate
        c = DimensionCoordinate()
        c.set_properties(
            {"standard_name": "time", "units": "days since 1959-01-01"}
        )
        c.nc_set_variable("time")
        data = Data(
            [
                0.25,
                0.75,
                1.25,
                1.75,
                2.25,
                2.75,
                3.25,
                3.75,
                4.25,
                4.75,
                5.25,
                5.75,
                6.25,
                6.75,
                7.25,
                7.75,
                8.25,
                8.75,
                9.25,
                9.75,
                10.25,
                10.75,
                11.25,
                11.75,
                12.25,
                12.75,
                13.25,
                13.75,
                14.25,
                14.75,
                15.25,
                15.75,
                16.25,
                16.75,
                17.25,
                17.75,
                18.25,
                18.75,
                19.25,
                19.75,
                20.25,
                20.75,
                21.25,
                21.75,
                22.25,
                22.75,
                23.25,
                23.75,
                24.25,
                24.75,
                25.25,
                25.75,
                26.25,
                26.75,
                27.25,
                27.75,
                28.25,
                28.75,
                29.25,
                29.75,
                30.25,
                30.75,
                31.25,
                31.75,
                32.25,
                32.75,
                33.25,
                33.75,
                34.25,
                34.75,
                35.25,
                35.75,
                36.25,
                36.75,
                37.25,
                37.75,
                38.25,
                38.75,
                39.25,
                39.75,
                40.25,
                40.75,
                41.25,
                41.75,
                42.25,
                42.75,
                43.25,
                43.75,
                44.25,
                44.75,
                45.25,
                45.75,
                46.25,
                46.75,
                47.25,
                47.75,
                48.25,
                48.75,
                49.25,
                49.75,
                50.25,
                50.75,
                51.25,
                51.75,
                52.25,
                52.75,
                53.25,
                53.75,
                54.25,
                54.75,
                55.25,
                55.75,
                56.25,
                56.75,
                57.25,
                57.75,
                58.25,
                58.75,
            ],
            units="days since 1959-01-01",
            dtype="f8",
        )
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("bounds")
        data = Data(
            [
                [0.0, 0.5],
                [0.5, 1.0],
                [1.0, 1.5],
                [1.5, 2.0],
                [2.0, 2.5],
                [2.5, 3.0],
                [3.0, 3.5],
                [3.5, 4.0],
                [4.0, 4.5],
                [4.5, 5.0],
                [5.0, 5.5],
                [5.5, 6.0],
                [6.0, 6.5],
                [6.5, 7.0],
                [7.0, 7.5],
                [7.5, 8.0],
                [8.0, 8.5],
                [8.5, 9.0],
                [9.0, 9.5],
                [9.5, 10.0],
                [10.0, 10.5],
                [10.5, 11.0],
                [11.0, 11.5],
                [11.5, 12.0],
                [12.0, 12.5],
                [12.5, 13.0],
                [13.0, 13.5],
                [13.5, 14.0],
                [14.0, 14.5],
                [14.5, 15.0],
                [15.0, 15.5],
                [15.5, 16.0],
                [16.0, 16.5],
                [16.5, 17.0],
                [17.0, 17.5],
                [17.5, 18.0],
                [18.0, 18.5],
                [18.5, 19.0],
                [19.0, 19.5],
                [19.5, 20.0],
                [20.0, 20.5],
                [20.5, 21.0],
                [21.0, 21.5],
                [21.5, 22.0],
                [22.0, 22.5],
                [22.5, 23.0],
                [23.0, 23.5],
                [23.5, 24.0],
                [24.0, 24.5],
                [24.5, 25.0],
                [25.0, 25.5],
                [25.5, 26.0],
                [26.0, 26.5],
                [26.5, 27.0],
                [27.0, 27.5],
                [27.5, 28.0],
                [28.0, 28.5],
                [28.5, 29.0],
                [29.0, 29.5],
                [29.5, 30.0],
                [30.0, 30.5],
                [30.5, 31.0],
                [31.0, 31.5],
                [31.5, 32.0],
                [32.0, 32.5],
                [32.5, 33.0],
                [33.0, 33.5],
                [33.5, 34.0],
                [34.0, 34.5],
                [34.5, 35.0],
                [35.0, 35.5],
                [35.5, 36.0],
                [36.0, 36.5],
                [36.5, 37.0],
                [37.0, 37.5],
                [37.5, 38.0],
                [38.0, 38.5],
                [38.5, 39.0],
                [39.0, 39.5],
                [39.5, 40.0],
                [40.0, 40.5],
                [40.5, 41.0],
                [41.0, 41.5],
                [41.5, 42.0],
                [42.0, 42.5],
                [42.5, 43.0],
                [43.0, 43.5],
                [43.5, 44.0],
                [44.0, 44.5],
                [44.5, 45.0],
                [45.0, 45.5],
                [45.5, 46.0],
                [46.0, 46.5],
                [46.5, 47.0],
                [47.0, 47.5],
                [47.5, 48.0],
                [48.0, 48.5],
                [48.5, 49.0],
                [49.0, 49.5],
                [49.5, 50.0],
                [50.0, 50.5],
                [50.5, 51.0],
                [51.0, 51.5],
                [51.5, 52.0],
                [52.0, 52.5],
                [52.5, 53.0],
                [53.0, 53.5],
                [53.5, 54.0],
                [54.0, 54.5],
                [54.5, 55.0],
                [55.0, 55.5],
                [55.5, 56.0],
                [56.0, 56.5],
                [56.5, 57.0],
                [57.0, 57.5],
                [57.5, 58.0],
                [58.0, 58.5],
                [58.5, 59.0],
            ],
            units="days since 1959-01-01",
            dtype="f8",
        )
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis0",), key="dimensioncoordinate0", copy=False
        )

        # dimension_coordinate
        c = DimensionCoordinate()
        c.set_properties(
            {"units": "degrees_north", "standard_name": "latitude"}
        )
        c.nc_set_variable("lat")
        data = Data(
            [-75.0, -45.0, 0.0, 45.0, 75.0], units="degrees_north", dtype="f8"
        )
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("lat_bnds")
        data = Data(
            [
                [-90.0, -60.0],
                [-60.0, -30.0],
                [-30.0, 30.0],
                [30.0, 60.0],
                [60.0, 90.0],
            ],
            units="degrees_north",
            dtype="f8",
        )
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis1",), key="dimensioncoordinate1", copy=False
        )

        # dimension_coordinate
        c = DimensionCoordinate()
        c.set_properties(
            {"units": "degrees_east", "standard_name": "longitude"}
        )
        c.nc_set_variable("lon")
        data = Data(
            [22.5, 67.5, 112.5, 157.5, 202.5, 247.5, 292.5, 337.5],
            units="degrees_east",
            dtype="f8",
        )
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("lon_bnds")
        data = Data(
            [
                [0.0, 45.0],
                [45.0, 90.0],
                [90.0, 135.0],
                [135.0, 180.0],
                [180.0, 225.0],
                [225.0, 270.0],
                [270.0, 315.0],
                [315.0, 360.0],
            ],
            units="degrees_east",
            dtype="f8",
        )
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis2",), key="dimensioncoordinate2", copy=False
        )

        # dimension_coordinate
        c = DimensionCoordinate()
        c.set_properties({"standard_name": "air_pressure", "units": "hPa"})
        c.nc_set_variable("air_pressure")
        data = Data([850.0], units="hPa", dtype="f8")
        c.set_data(data)
        f.set_construct(
            c, axes=("domainaxis3",), key="dimensioncoordinate3", copy=False
        )

        # cell_method
        c = CellMethod()
        c.set_method("mean")
        c.set_axes("area")
        f.set_construct(c)

    elif n == 6:
        # field: precipitation_amount
        f = Field()
        f.set_properties(
            {
                "Conventions": f"CF-{CF()}",
                "featureType": "timeSeries",
                "comment": "global comment",
                "standard_name": "precipitation_amount",
                "standard_units": "kg m-2",
            }
        )
        d = Data([[1.0, 2.0, 3.0, 4.0], [5.0, 6.0, 7.0, 8.0]], dtype="f8")
        f.set_data(d)
        f.nc_set_variable("pr")
        f.nc_set_geometry_variable("geometry1")

        # netCDF global attributes
        f.nc_set_global_attributes(
            {"Conventions": None, "featureType": None, "comment": None}
        )

        # domain_axis: ncdim%instance
        c = DomainAxis()
        c.set_size(2)
        c.nc_set_dimension("instance")
        f.set_construct(c, key="domainaxis0", copy=False)

        # domain_axis: ncdim%time
        c = DomainAxis()
        c.set_size(4)
        c.nc_set_dimension("time")
        f.set_construct(c, key="domainaxis1", copy=False)

        # field data axes
        f.set_data_axes(("domainaxis0", "domainaxis1"))

        # auxiliary_coordinate: latitude
        c = AuxiliaryCoordinate()
        c.set_properties(
            {"units": "degrees_north", "standard_name": "latitude"}
        )
        d = Data([25.0, 7.0], units="degrees_north", dtype="f8")
        c.set_data(d)
        c.nc_set_variable("lat")
        c.set_geometry("polygon")
        b = Bounds()
        b.set_properties(
            {
                "units": "degrees_north",
                "standard_name": "latitude",
                "axis": "Y",
            }
        )
        d = Data(
            [
                [
                    [0.0, 15.0, 0.0, -99],
                    [5.0, 10.0, 5.0, 5.0],
                    [20.0, 35.0, 20.0, -99],
                ],
                [
                    [0.0, 15.0, 0.0, -99],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                ],
            ],
            units="degrees_north",
            dtype="f8",
            mask_value=-99,
        )
        b.set_data(d)
        b.nc_set_variable("y")
        c.set_bounds(b)
        i = InteriorRing()
        d = Data(
            [[0, 1, 0], [0, -99, -99]],
            dtype="i4",
            mask_value=-99,
        )
        i.set_data(d)
        i.nc_set_variable("interior_ring")
        c.set_interior_ring(i)
        f.set_construct(
            c, axes=("domainaxis0",), key="auxiliarycoordinate0", copy=False
        )

        # auxiliary_coordinate: longitude
        c = AuxiliaryCoordinate()
        c.set_properties(
            {"units": "degrees_east", "standard_name": "longitude"}
        )
        d = Data([10.0, 40.0], units="degrees_east", dtype="f8")
        c.set_data(d)
        c.nc_set_variable("lon")
        c.set_geometry("polygon")
        b = Bounds()
        b.set_properties(
            {
                "units": "degrees_east",
                "standard_name": "longitude",
                "axis": "X",
            }
        )
        d = Data(
            [
                [
                    [20.0, 10.0, 0.0, -99],
                    [5.0, 10.0, 15.0, 10.0],
                    [20.0, 10.0, 0.0, -99],
                ],
                [
                    [50.0, 40.0, 30.0, -99],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                ],
            ],
            units="degrees_east",
            dtype="f8",
            mask_value=-99,
        )
        b.set_data(d)
        b.nc_set_variable("x")
        c.set_bounds(b)
        i = InteriorRing()
        d = Data(
            [[0, 1, 0], [0, -99, -99]],
            dtype="i4",
            mask_value=-99,
        )
        i.set_data(d)
        i.nc_set_variable("interior_ring")
        c.set_interior_ring(i)
        f.set_construct(
            c, axes=("domainaxis0",), key="auxiliarycoordinate1", copy=False
        )

        # auxiliary_coordinate: cf_role=timeseries_id
        c = AuxiliaryCoordinate()
        c.set_properties({"cf_role": "timeseries_id"})
        d = Data(["x1", "y2"])
        c.set_data(d)
        c.nc_set_variable("instance_id")
        f.set_construct(
            c, axes=("domainaxis0",), key="auxiliarycoordinate2", copy=False
        )

        # auxiliary_coordinate: Z
        c = AuxiliaryCoordinate()
        c.set_geometry("polygon")
        b = Bounds()
        b.set_properties(
            {"units": "m", "standard_name": "altitude", "axis": "Z"}
        )
        d = Data(
            [
                [
                    [1.0, 2.0, 4.0, -99],
                    [2.0, 3.0, 4.0, 5.0],
                    [5.0, 1.0, 4.0, -99],
                ],
                [
                    [3.0, 2.0, 1.0, -99],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                    [
                        -99,
                        -99,
                        -99,
                        -99,
                    ],
                ],
            ],
            units="m",
            dtype="f8",
            mask_value=-99,
        )
        b.set_data(d)
        b.nc_set_variable("z")
        c.set_bounds(b)
        i = InteriorRing()
        d = Data(
            [[0, 1, 0], [0, -99, -99]],
            dtype="i4",
            mask_value=-99,
        )
        i.set_data(d)
        i.nc_set_variable("interior_ring")
        c.set_interior_ring(i)
        f.set_construct(
            c, axes=("domainaxis0",), key="auxiliarycoordinate3", copy=False
        )

        # dimension_coordinate: time
        c = DimensionCoordinate()
        c.set_properties(
            {"standard_name": "time", "units": "days since 2000-01-01"}
        )
        d = Data(
            [15.5, 45, 74.5, 105],
            units="days since 2000-01-01",
            calendar="gregorian",
            dtype="f8",
        )
        c.set_data(d)
        c.nc_set_variable("time")
        b = Bounds()
        d = Data(
            [[0.0, 31.0], [31.0, 60.0], [60.0, 91.0], [91.0, 121.0]],
            units="days since 2000-01-01",
            calendar="gregorian",
            dtype="f8",
        )
        b.set_data(d)
        b.nc_set_variable("time_bounds")
        c.set_bounds(b)

        f.set_construct(
            c, axes=("domainaxis1",), key="dimensioncoordinate0", copy=False
        )

        # coordinate_reference
        c = CoordinateReference()
        c.nc_set_variable("datum")
        c.set_coordinates({"auxiliarycoordinate0", "auxiliarycoordinate1"})
        c.datum.set_parameter("semi_major_axis", 6378137.0)
        c.datum.set_parameter("inverse_flattening", 298.257223563)
        c.datum.set_parameter("longitude_of_prime_meridian", 0.0)
        c.coordinate_conversion.set_parameter(
            "grid_mapping_name", "latitude_longitude"
        )
        f.set_construct(c)

    elif n == 7:
        # field: eastward_wind
        f = Field()
        f.set_properties(
            {
                "Conventions": f"CF-{CF()}",
                "_FillValue": -1073741824.0,
                "standard_name": "eastward_wind",
                "units": "m s-1",
            }
        )
        d = Data(
            [
                [
                    [
                        [12.62, 13.23, 13.75, 14.13, 14.28],
                        [12.46, 12.9, 13.46, 13.71, 14.03],
                        [12.22, 12.57, 12.91, 13.19, 13.8],
                        [11.83, 12.25, 12.6, 13.09, 13.63],
                    ]
                ],
                [
                    [
                        [3.6, 3.3, 3.13, 3.21, 3.67],
                        [3.69, 3.53, 3.91, 4.5, 5.63],
                        [4.64, 5.03, 5.8, 6.79, 8.17],
                        [6.7, 7.42, 8.23, 9.32, 10.5],
                    ]
                ],
                [
                    [
                        [10.42, 10.81, 11.03, 10.96, 10.6],
                        [10.59, 10.95, 11.36, 11.27, 11.08],
                        [10.82, 11.19, 11.43, 11.43, 11.45],
                        [10.93, 11.23, 11.35, 11.58, 11.64],
                    ]
                ],
            ],
            units="m s-1",
            dtype="f4",
            fill_value=-1073741824.0,
        )
        f.set_data(d)
        f.nc_set_variable("ua")

        # domain_axis: ncdim%t
        c = DomainAxis()
        c.set_size(3)
        c.nc_set_dimension("t")
        f.set_construct(c, key="domainaxis0", copy=False)

        # domain_axis: ncdim%z
        c = DomainAxis()
        c.set_size(1)
        c.nc_set_dimension("z")
        f.set_construct(c, key="domainaxis1", copy=False)

        # domain_axis: ncdim%y
        c = DomainAxis()
        c.set_size(4)
        c.nc_set_dimension("y")
        f.set_construct(c, key="domainaxis2", copy=False)

        # domain_axis: ncdim%x
        c = DomainAxis()
        c.set_size(5)
        c.nc_set_dimension("x")
        f.set_construct(c, key="domainaxis3", copy=False)

        # field data axes
        f.set_data_axes(
            ("domainaxis0", "domainaxis1", "domainaxis2", "domainaxis3")
        )

        # auxiliary_coordinate: latitude
        c = AuxiliaryCoordinate()
        c.set_properties(
            {"standard_name": "latitude", "units": "degrees_north"}
        )
        d = Data(
            [
                [52.4243, 52.4338, 52.439, 52.4398, 52.4362],
                [51.9845, 51.9939, 51.999, 51.9998, 51.9962],
                [51.5446, 51.5539, 51.559, 51.5598, 51.5563],
                [51.1048, 51.114, 51.119, 51.1198, 51.1163],
            ],
            units="degrees_north",
            dtype="f8",
        )
        c.set_data(d)
        b = Bounds()
        d = Data(
            [
                [
                    [52.6378, 52.198, 52.2097, 52.6496],
                    [52.6496, 52.2097, 52.217, 52.6569],
                    [52.6569, 52.217, 52.2199, 52.6599],
                    [52.6599, 52.2199, 52.2185, 52.6585],
                    [52.6585, 52.2185, 52.2128, 52.6527],
                ],
                [
                    [52.198, 51.7582, 51.7698, 52.2097],
                    [52.2097, 51.7698, 51.777, 52.217],
                    [52.217, 51.777, 51.7799, 52.2199],
                    [52.2199, 51.7799, 51.7786, 52.2185],
                    [52.2185, 51.7786, 51.7729, 52.2128],
                ],
                [
                    [51.7582, 51.3184, 51.3299, 51.7698],
                    [51.7698, 51.3299, 51.337, 51.777],
                    [51.777, 51.337, 51.3399, 51.7799],
                    [51.7799, 51.3399, 51.3386, 51.7786],
                    [51.7786, 51.3386, 51.333, 51.7729],
                ],
                [
                    [51.3184, 50.8786, 50.89, 51.3299],
                    [51.3299, 50.89, 50.8971, 51.337],
                    [51.337, 50.8971, 50.8999, 51.3399],
                    [51.3399, 50.8999, 50.8986, 51.3386],
                    [51.3386, 50.8986, 50.893, 51.333],
                ],
            ],
            units="degrees_north",
            dtype="f8",
        )
        b.set_data(d)
        c.set_bounds(b)
        f.set_construct(
            c,
            axes=("domainaxis2", "domainaxis3"),
            key="auxiliarycoordinate0",
            copy=False,
        )

        # auxiliary_coordinate: longitude
        c = AuxiliaryCoordinate()
        c.set_properties(
            {"standard_name": "longitude", "units": "degrees_east"}
        )
        d = Data(
            [
                [8.0648, 8.7862, 9.5079, 10.2296, 10.9514],
                [8.0838, 8.7981, 9.5127, 10.2274, 10.942],
                [8.1024, 8.8098, 9.5175, 10.2252, 10.9328],
                [8.1207, 8.8213, 9.5221, 10.223, 10.9238],
            ],
            units="degrees_east",
            dtype="f8",
        )
        c.set_data(d)
        b = Bounds()
        d = Data(
            [
                [
                    [7.6928, 7.7155, 8.4332, 8.4176],
                    [8.4176, 8.4332, 9.1512, 9.1428],
                    [9.1428, 9.1512, 9.8694, 9.8681],
                    [9.8681, 9.8694, 10.5876, 10.5935],
                    [10.5935, 10.5876, 11.3057, 11.3187],
                ],
                [
                    [7.7155, 7.7379, 8.4485, 8.4332],
                    [8.4332, 8.4485, 9.1595, 9.1512],
                    [9.1512, 9.1595, 9.8707, 9.8694],
                    [9.8694, 9.8707, 10.5818, 10.5876],
                    [10.5876, 10.5818, 11.2929, 11.3057],
                ],
                [
                    [7.7379, 7.7598, 8.4636, 8.4485],
                    [8.4485, 8.4636, 9.1677, 9.1595],
                    [9.1595, 9.1677, 9.8719, 9.8707],
                    [9.8707, 9.8719, 10.5762, 10.5818],
                    [10.5818, 10.5762, 11.2804, 11.2929],
                ],
                [
                    [7.7598, 7.7812, 8.4783, 8.4636],
                    [8.4636, 8.4783, 9.1757, 9.1677],
                    [9.1677, 9.1757, 9.8732, 9.8719],
                    [9.8719, 9.8732, 10.5707, 10.5762],
                    [10.5762, 10.5707, 11.2681, 11.2804],
                ],
            ],
            units="degrees_east",
            dtype="f8",
        )
        b.set_data(d)
        c.set_bounds(b)
        f.set_construct(
            c,
            axes=("domainaxis2", "domainaxis3"),
            key="auxiliarycoordinate1",
            copy=False,
        )

        # dimension_coordinate: time
        c = DimensionCoordinate()
        c.set_properties(
            {
                "axis": "T",
                "standard_name": "time",
                "units": "days since 1979-1-1",
                "calendar": "gregorian",
            }
        )
        d = Data(
            [120.5, 121.5, 122.5],
            units="days since 1979-1-1",
            calendar="gregorian",
            dtype="f8",
        )
        c.set_data(d)
        b = Bounds()
        d = Data(
            [[120.0, 121.0], [121.0, 122.0], [122.0, 123.0]],
            units="days since 1979-1-1",
            calendar="gregorian",
            dtype="f8",
        )
        b.set_data(d)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis0",), key="dimensioncoordinate0", copy=False
        )

        # dimension_coordinate: air_pressure
        c = DimensionCoordinate()
        c.set_properties(
            {
                "positive": "down",
                "axis": "Z",
                "standard_name": "air_pressure",
                "units": "hPa",
            }
        )
        d = Data([850.0], units="hPa", dtype="f8")
        c.set_data(d)
        f.set_construct(
            c, axes=("domainaxis1",), key="dimensioncoordinate1", copy=False
        )

        # dimension_coordinate: grid_latitude
        c = DimensionCoordinate()
        c.set_properties(
            {"axis": "Y", "standard_name": "grid_latitude", "units": "degrees"}
        )
        d = Data([0.44, 0.0, -0.44, -0.88], units="degrees", dtype="f8")
        c.set_data(d)
        b = Bounds()
        d = Data(
            [[0.66, 0.22], [0.22, -0.22], [-0.22, -0.66], [-0.66, -1.1]],
            units="degrees",
            dtype="f8",
        )
        b.set_data(d)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis2",), key="dimensioncoordinate2", copy=False
        )

        # dimension_coordinate: grid_longitude
        c = DimensionCoordinate()
        c.set_properties(
            {
                "axis": "X",
                "standard_name": "grid_longitude",
                "units": "degrees",
            }
        )
        d = Data([-1.18, -0.74, -0.3, 0.14, 0.58], units="degrees", dtype="f8")
        c.set_data(d)
        b = Bounds()
        d = Data(
            [
                [-1.4, -0.96],
                [-0.96, -0.52],
                [-0.52, -0.08],
                [-0.08, 0.36],
                [0.36, 0.8],
            ],
            units="degrees",
            dtype="f8",
        )
        b.set_data(d)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis3",), key="dimensioncoordinate3", copy=False
        )

        # cell_method
        c = CellMethod()
        c.set_method("mean")
        c.set_axes(("domainaxis0",))
        f.set_construct(c)

        # coordinate_reference
        c = CoordinateReference()
        c.set_coordinates(
            {
                "dimensioncoordinate3",
                "auxiliarycoordinate1",
                "auxiliarycoordinate0",
                "dimensioncoordinate2",
            }
        )
        c.coordinate_conversion.set_parameter(
            "grid_mapping_name", "rotated_latitude_longitude"
        )
        c.coordinate_conversion.set_parameter("grid_north_pole_latitude", 38.0)
        c.coordinate_conversion.set_parameter(
            "grid_north_pole_longitude", 190.0
        )
        f.set_construct(c)

    elif n == 8:
        # field: air_temperature
        f = Field()
        f.set_properties(
            {
                "Conventions": f"CF-{CF()}",
                "standard_name": "air_temperature",
                "units": "K",
            }
        )
        f.nc_set_variable("ta")
        data = Data(
            [[282.96, 282.69, 283.21], [281.53, 280.99, 281.23]],
            units="K",
            dtype="f8",
        )
        f.set_data(data)
        f.set_mesh_id(mesh_id)
        #
        # domain_axis: ncdim%time
        c = DomainAxis()
        c.set_size(2)
        c.nc_set_dimension("time")
        c.nc_set_unlimited(True)
        f.set_construct(c, key="domainaxis0", copy=False)
        #
        # domain_axis: ncdim%nMesh2_face
        c = DomainAxis()
        c.set_size(3)
        c.nc_set_dimension("nMesh2_face")
        f.set_construct(c, key="domainaxis2", copy=False)
        #
        # dimension_coordinate: time
        c = DimensionCoordinate()
        c.set_properties(
            {
                "axis": "T",
                "standard_name": "time",
                "calendar": "gregorian",
                "units": "seconds since 2016-01-01 15:00:00",
            }
        )
        c.nc_set_variable("time")
        data = Data(
            [36000, 72000],
            units="seconds since 2016-01-01 15:00:00",
            calendar="gregorian",
            dtype="f8",
        )
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("time_bounds")
        data = Data(
            [[36000, 36000], [72000, 72000]],
            units="seconds since 2016-01-01 15:00:00",
            calendar="gregorian",
            dtype="f8",
        )
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis0",), key="dimensioncoordinate0", copy=False
        )
        #
        # auxiliary_coordinate: longitude
        c = AuxiliaryCoordinate()
        c.set_properties(
            {"standard_name": "longitude", "units": "degrees_east"}
        )
        c.nc_set_variable("Mesh2_face_x")
        data = Data([-44, -44, -42], units="degrees_east", dtype="f8")
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("Mesh2_node_x_bounds")
        data = Data(
            [
                [-45, -43, -43, -45],
                [-45, -43, -43, -45],
                [-40, -43, -43, -99],
            ],
            units="degrees_east",
            dtype="f8",
            mask_value=-99,
        )
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis2",), key="auxiliarycoordinate0", copy=False
        )
        #
        # auxiliary_coordinate: latitude
        c = AuxiliaryCoordinate()
        c.set_properties(
            {"standard_name": "latitude", "units": "degrees_north"}
        )
        c.nc_set_variable("Mesh2_face_y")
        data = Data([34, 32, 34], units="degrees_north", dtype="f8")
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("Mesh2_node_y_bounds")
        data = Data(
            [
                [33, 33, 35, 35],
                [31, 31, 33, 33],
                [34, 35, 33, -99],
            ],
            units="degrees_north",
            dtype="f8",
            mask_value=-99,
        )
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis2",), key="auxiliarycoordinate1", copy=False
        )
        #
        # domain_topology: cell:face
        c = DomainTopology()
        c.set_properties({"long_name": "Maps every face to its corner nodes"})
        c.nc_set_variable("Mesh2_face_nodes")
        data = Data(
            [[2, 3, 1, 0], [4, 5, 3, 2], [1, 3, 6, -99]],
            dtype="i4",
            mask_value=-99,
        )
        c.set_data(data)
        c.set_cell("face")
        f.set_construct(
            c, axes=("domainaxis2",), key="domaintopology0", copy=False
        )
        #
        # cell_connectivity: connectivity:edge
        c = CellConnectivity()
        c.set_properties({"long_name": "neighbour faces for faces"})
        c.nc_set_variable("Mesh2_face_links")
        data = Data(
            [
                [0, 1, 2, -99, -99],
                [1, 0, -99, -99, -99],
                [2, 0, -99, -99, -99],
            ],
            dtype="i4",
            mask_value=-99,
        )
        c.set_data(data)
        c.set_connectivity("edge")
        f.set_construct(
            c, axes=("domainaxis2",), key="cellconnectivity0", copy=False
        )
        #
        # cell_method: point
        c = CellMethod()
        c.set_method("point")
        c.set_axes(("domainaxis0",))
        c.set_qualifier("interval", [Data(3600, units="s", dtype="i8")])
        f.set_construct(c)
        #
        # field data axes
        f.set_data_axes(("domainaxis0", "domainaxis2"))

    elif n == 9:
        # field: northward_wind
        f = Field()
        f.set_properties(
            {
                "Conventions": f"CF-{CF()}",
                "standard_name": "northward_wind",
                "units": "ms-1",
            }
        )
        f.nc_set_variable("v")
        data = Data(
            [
                [10.2, 10.63, 8.74, 9.05, 8.15, 10.89, 8.44, 10.66, 8.93],
                [9.66, 10.74, 9.24, 10.58, 9.79, 10.27, 10.58, 11.68, 11.22],
            ],
            units="ms-1",
            dtype="f8",
        )
        f.set_data(data)
        f.set_mesh_id(mesh_id)
        #
        # domain_axis: ncdim%time
        c = DomainAxis()
        c.set_size(2)
        c.nc_set_dimension("time")
        c.nc_set_unlimited(True)
        f.set_construct(c, key="domainaxis0", copy=False)
        #
        # domain_axis: ncdim%nedge
        c = DomainAxis()
        c.set_size(9)
        c.nc_set_dimension("nMesh2_edge")
        f.set_construct(c, key="domainaxis2", copy=False)
        #
        # dimension_coordinate: time
        c = DimensionCoordinate()
        c.set_properties(
            {
                "axis": "T",
                "standard_name": "time",
                "calendar": "gregorian",
                "units": "seconds since 2016-01-01 15:00:00",
            }
        )
        c.nc_set_variable("time")
        data = Data(
            [36000, 72000],
            units="seconds since 2016-01-01 15:00:00",
            calendar="gregorian",
            dtype="f8",
        )
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("time_bounds")
        data = Data(
            [[36000, 36000], [72000, 72000]],
            units="seconds since 2016-01-01 15:00:00",
            calendar="gregorian",
            dtype="f8",
        )
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis0",), key="dimensioncoordinate0", copy=False
        )
        #
        # auxiliary_coordinate: longitude
        c = AuxiliaryCoordinate()
        c.set_properties(
            {"standard_name": "longitude", "units": "degrees_east"}
        )
        c.nc_set_variable("Mesh2_edge_x")
        data = Data(
            [-41.5, -41.5, -43, -44, -45, -44, -45, -44, -43],
            units="degrees_east",
            dtype="f8",
        )
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("Mesh2_node_x_bounds")
        data = Data(
            [
                [-43, -40],
                [-43, -40],
                [-43, -43],
                [-45, -43],
                [-45, -45],
                [-45, -43],
                [-45, -45],
                [-43, -45],
                [-43, -43],
            ],
            units="degrees_east",
            dtype="f8",
        )
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis2",), key="auxiliarycoordinate0", copy=False
        )
        #
        # auxiliary_coordinate: latitude
        c = AuxiliaryCoordinate()
        c.set_properties(
            {"standard_name": "latitude", "units": "degrees_north"}
        )
        c.nc_set_variable("Mesh2_edge_y")
        data = Data(
            [34.5, 33.5, 34, 35, 34, 33, 32, 31, 32],
            units="degrees_north",
            dtype="f8",
        )
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("Mesh2_node_y_bounds")
        data = Data(
            [
                [35, 34],
                [33, 34],
                [33, 35],
                [35, 35],
                [33, 35],
                [33, 33],
                [33, 31],
                [31, 31],
                [33, 31],
            ],
            units="degrees_north",
            dtype="f8",
        )
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis2",), key="auxiliarycoordinate1", copy=False
        )
        #
        # domain_topology: cell:edge
        c = DomainTopology()
        c.set_properties(
            {"long_name": "Maps every edge to the two nodes that it connects"}
        )
        c.nc_set_variable("Mesh2_edge_nodes")
        data = Data(
            [
                [1, 6],
                [3, 6],
                [3, 1],
                [0, 1],
                [2, 0],
                [2, 3],
                [2, 4],
                [5, 4],
                [3, 5],
            ],
            dtype="i4",
        )
        c.set_data(data)
        c.set_cell("edge")
        f.set_construct(
            c, axes=("domainaxis2",), key="domaintopology0", copy=False
        )
        #
        # cell_connectivity: connectivity:edge
        c = CellConnectivity()
        c.set_properties({"long_name": "neighbour edges for edges"})
        c.nc_set_variable("Mesh2_edge_links")
        data = Data(
            [
                [0, 1, 2, 3, -99, -99],
                [1, 0, 2, 5, 8, -99],
                [2, 3, 0, 1, 5, 8],
                [3, 4, 2, 0, -99, -99],
                [4, 3, 5, 6, -99, -99],
                [5, 4, 6, 2, 1, 8],
                [6, 4, 5, 7, -99, -99],
                [7, 6, 8, -99, -99, -99],
                [8, 7, 5, 2, 1, -99],
            ],
            dtype="i4",
            mask_value=-99,
        )
        c.set_data(data)
        c.set_connectivity("node")
        f.set_construct(
            c, axes=("domainaxis2",), key="cellconnectivity0", copy=False
        )
        #
        # cell_method: point
        c = CellMethod()
        c.set_method("point")
        c.set_axes(("domainaxis0",))
        c.set_qualifier("interval", [Data(3600, units="s", dtype="i8")])
        f.set_construct(c)
        #
        # field data axes
        f.set_data_axes(("domainaxis0", "domainaxis2"))

    elif n == 10:
        # field: air_pressure
        f = Field()
        f.set_properties(
            {
                "Conventions": f"CF-{CF()}",
                "standard_name": "air_pressure",
                "units": "hPa",
            }
        )
        f.nc_set_variable("pa")
        data = Data(
            [
                [999.67, 1006.45, 999.85, 1006.55, 1006.14, 1005.68, 999.48],
                [
                    1003.48,
                    1006.42,
                    1000.83,
                    1002.98,
                    1008.28,
                    1002.97,
                    1002.47,
                ],
            ],
            units="hPa",
            dtype="f8",
        )
        f.set_data(data)
        f.set_mesh_id(mesh_id)
        #
        # domain_axis: ncdim%time
        c = DomainAxis()
        c.set_size(2)
        c.nc_set_dimension("time")
        c.nc_set_unlimited(True)
        f.set_construct(c, key="domainaxis0", copy=False)
        #
        # domain_axis: ncdim%nedge
        c = DomainAxis()
        c.set_size(7)
        c.nc_set_dimension("nMesh2_node")
        f.set_construct(c, key="domainaxis2", copy=False)
        #
        # dimension_coordinate: time
        c = DimensionCoordinate()
        c.set_properties(
            {
                "axis": "T",
                "standard_name": "time",
                "calendar": "gregorian",
                "units": "seconds since 2016-01-01 15:00:00",
            }
        )
        c.nc_set_variable("time")
        data = Data(
            [36000, 72000],
            units="seconds since 2016-01-01 15:00:00",
            calendar="gregorian",
            dtype="f8",
        )
        c.set_data(data)
        b = Bounds()
        b.nc_set_variable("time_bounds")
        data = Data(
            [[36000, 36000], [72000, 72000]],
            units="seconds since 2016-01-01 15:00:00",
            calendar="gregorian",
            dtype="f8",
        )
        b.set_data(data)
        c.set_bounds(b)
        f.set_construct(
            c, axes=("domainaxis0",), key="dimensioncoordinate0", copy=False
        )
        #
        # auxiliary_coordinate: longitude
        c = AuxiliaryCoordinate()
        c.set_properties(
            {"standard_name": "longitude", "units": "degrees_east"}
        )
        c.nc_set_variable("Mesh2_node_x")
        data = Data(
            [-45, -43, -45, -43, -45, -43, -40],
            units="degrees_east",
            dtype="f8",
        )
        c.set_data(data)
        f.set_construct(
            c, axes=("domainaxis2",), key="auxiliarycoordinate0", copy=False
        )
        #
        # auxiliary_coordinate: latitude
        c = AuxiliaryCoordinate()
        c.set_properties(
            {"standard_name": "latitude", "units": "degrees_north"}
        )
        c.nc_set_variable("Mesh2_node_y")
        data = Data(
            [35, 35, 33, 33, 31, 31, 34],
            units="degrees_north",
            dtype="f8",
        )
        c.set_data(data)
        f.set_construct(
            c, axes=("domainaxis2",), key="auxiliarycoordinate1", copy=False
        )
        #
        # domain_topology: cell:node
        c = DomainTopology()
        c.set_properties(
            {"long_name": "Maps every node to its connected nodes"}
        )
        c.nc_set_variable("Mesh2_edge_nodes")
        data = Data(
            [
                [0, 1, 2, -99, -99],
                [1, 0, 3, 6, -99],
                [2, 0, 4, 3, -99],
                [3, 2, 1, 5, 6],
                [4, 5, 2, -99, -99],
                [5, 4, 3, -99, -99],
                [6, 3, 1, -99, -99],
            ],
            dtype="i4",
            mask_value=-99,
        )
        c.set_data(data)
        c.set_cell("point")
        f.set_construct(
            c, axes=("domainaxis2",), key="domaintopology0", copy=False
        )
        #
        # cell_method: point
        c = CellMethod()
        c.set_method("point")
        c.set_axes(("domainaxis0",))
        c.set_qualifier("interval", [Data(3600, units="s", dtype="i8")])
        f.set_construct(c)
        #
        # field data axes
        f.set_data_axes(("domainaxis0", "domainaxis2"))
    elif n == 11:
        # field: mole_fraction_of_ozone_in_air
        f = Field()
        f.set_properties(
            {
                "Conventions": "CF-1.11",
                "featureType": "trajectory",
                "standard_name": "mole_fraction_of_ozone_in_air",
                "units": "ppb",
            }
        )
        f.nc_set_variable("O3")
        data = Data(
            [[50.0, 51.0, 49.0, 53.0]],
            units="ppb",
            dtype="f4",
            fill_value=-9999.0,
        )
        f.set_data(data)
        #
        # netCDF global attributes
        f.nc_set_global_attributes({"Conventions": None, "featureType": None})
        #
        # domain_axis: ncdim%dim
        c = DomainAxis()
        c.set_size(1)
        c.nc_set_dimension("dim")
        f.set_construct(c, key="domainaxis0", copy=False)
        #
        # domain_axis: ncdim%trajectory
        c = DomainAxis()
        c.set_size(4)
        c.nc_set_dimension("trajectory")
        f.set_construct(c, key="domainaxis1", copy=False)
        #
        # auxiliary_coordinate: time
        c = AuxiliaryCoordinate()
        c.set_properties(
            {
                "standard_name": "time",
                "calendar": "standard",
                "units": "seconds since 2024-02-26 09:00:00",
            }
        )
        c.nc_set_variable("time")
        data = Data(
            [[60, 129, 180, 240]],
            units="seconds since 2024-02-26 09:00:00",
            calendar="standard",
            dtype="f4",
        )
        c.set_data(data)
        f.set_construct(
            c,
            axes=("domainaxis0", "domainaxis1"),
            key="auxiliarycoordinate0",
            copy=False,
        )
        #
        # auxiliary_coordinate: altitude
        c = AuxiliaryCoordinate()
        c.set_properties({"standard_name": "altitude", "units": "m"})
        c.nc_set_variable("altitude")
        data = Data([[2577, 2576, 2575, 2563]], units="m", dtype="f4")
        c.set_data(data)
        f.set_construct(
            c,
            axes=("domainaxis0", "domainaxis1"),
            key="auxiliarycoordinate1",
            copy=False,
        )
        #
        # auxiliary_coordinate: air_pressure
        c = AuxiliaryCoordinate()
        c.set_properties({"standard_name": "air_pressure", "units": "hPa"})
        c.nc_set_variable("air_pressure")
        data = Data([[751, 755, 758, 780]], units="hPa", dtype="f4")
        c.set_data(data)
        f.set_construct(
            c,
            axes=("domainaxis0", "domainaxis1"),
            key="auxiliarycoordinate2",
            copy=False,
        )
        #
        # auxiliary_coordinate: latitude
        c = AuxiliaryCoordinate()
        c.set_properties(
            {"standard_name": "latitude", "units": "degree_north"}
        )
        c.nc_set_variable("latitude")
        data = Data([[52, 52.5, 52.6, 52.2]], units="degree_north", dtype="f8")
        c.set_data(data)
        f.set_construct(
            c,
            axes=("domainaxis0", "domainaxis1"),
            key="auxiliarycoordinate3",
            copy=False,
        )
        #
        # auxiliary_coordinate: longitude
        c = AuxiliaryCoordinate()
        c.set_properties(
            {"standard_name": "longitude", "units": "degree_east"}
        )
        c.nc_set_variable("longitude")
        data = Data([[0.0, 0.3, 0.2, 0.31]], units="degree_east", dtype="f8")
        c.set_data(data)
        f.set_construct(
            c,
            axes=("domainaxis0", "domainaxis1"),
            key="auxiliarycoordinate4",
            copy=False,
        )
        #
        # auxiliary_coordinate: cf_role=trajectory_id
        c = AuxiliaryCoordinate()
        c.set_properties({"cf_role": "trajectory_id"})
        c.nc_set_variable("campaign")
        data = Data(["flight1"], dtype="U7")
        c.set_data(data)
        f.set_construct(
            c, axes=("domainaxis0",), key="auxiliarycoordinate5", copy=False
        )
        #
        # field data axes
        f.set_data_axes(("domainaxis0", "domainaxis1"))
    else:
        raise ValueError(
            "Must select an example construct with an integer argument "
            f"between 0 and {_n_example_fields - 1} inclusive. Got {n!r}"
        )

    return f


def example_fields(*n, _func=example_field):
    """Return example field constructs.

    .. versionadded:: (cfdm) 1.8.9.0

    .. seealso:: `cfdm.example_field`, `cfdm.example_domain`

    :Parameters:

        n: zero or more `int`, optional
            Select the example field constructs to return, any
            combination of:

            ======  ==================================================
            *n*     Field construct description
            ======  ==================================================
            ``0``   Cell method and dimension coordinate metadata
                    constructs.

            ``1``   Cell method, dimension coordinate, auxiliary
                    coordinate, cell measure, coordinate reference,
                    domain ancillary and field ancillary metadata
                    constructs.

            ``2``   A monthly time series at each latitude-longitude
                    location.

            ``3``   Discrete sampling geometry (DSG) "timeSeries"
                    features.

            ``4``   Discrete sampling geometry (DSG)
                    "timeSeriesProfile" features.

            ``5``   A 12 hourly time series at each latitude-longitude
                    location.

            ``6``   Polygon geometry coordinate cells with interior
                    ring variables.

            ``7``   Rotated pole dimension coordinate constructs and
                    2-d latitude and longitude auxiliary coordinate
                    constructs.

            ``8``   A UGRID mesh topology of face cells.

            ``9``   A UGRID mesh topology of edge cells.

            ``10``  A UGRID mesh topology of point cells.

            ``11``  Discrete sampling geometry (DSG) "trajectory"
                    features.
            ======  ==================================================

            If no individual field constructs are selected then all
            available field constructs will be returned.

            Field constructs may be selected multiple time, and will
            be output in the order that they are given.

            See the `cfdm.example_field` for details.

        _func: function
            The function that returns each individual field construct.

    :Returns:

       `list`
            The example field constructs.

    **Examples**

    >>> cfdm.example_fields()
    [<Field: specific_humidity(latitude(5), longitude(8)) 1>,
     <Field: air_temperature(atmosphere_hybrid_height_coordinate(1), grid_latitude(10), grid_longitude(9)) K>,
     <Field: air_potential_temperature(time(36), latitude(5), longitude(8)) K>,
     <Field: precipitation_flux(cf_role=timeseries_id(4), ncdim%timeseries(9)) kg m-2 day-1>,
     <Field: air_temperature(cf_role=timeseries_id(3), ncdim%timeseries(26), ncdim%profile_1(4)) K>,
     <Field: air_potential_temperature(time(118), latitude(5), longitude(8)) K>,
     <Field: precipitation_amount(cf_role=timeseries_id(2), time(4))>,
     <Field: eastward_wind(time(3), air_pressure(1), grid_latitude(4), grid_longitude(5)) m s-1>,
     <Field: air_temperature(time(2), ncdim%nMesh2_face(3)) K>,
     <Field: northward_wind(time(2), ncdim%nMesh2_edge(9)) ms-1>,
     <Field: air_pressure(time(2), ncdim%nMesh2_node(7)) hPa>,
     <CF Field: mole_fraction_of_ozone_in_air(cf_role=trajectory_id(1), ncdim%trajectory(4)) ppb>]

    >>> cfdm.example_fields(7, 1)
    [<Field: eastward_wind(time(3), air_pressure(1), grid_latitude(4), grid_longitude(5)) m s-1>,
     <Field: air_temperature(atmosphere_hybrid_height_coordinate(1), grid_latitude(10), grid_longitude(9)) K>]

    >>> cfdm.example_fields(3)
    [<Field: precipitation_flux(cf_role=timeseries_id(4), ncdim%timeseries(9)) kg m-2 day-1>]

    >>> cfdm.example_fields(3, 3, 4)
    [<Field: precipitation_flux(cf_role=timeseries_id(4), ncdim%timeseries(9)) kg m-2 day-1>,
     <Field: precipitation_flux(cf_role=timeseries_id(4), ncdim%timeseries(9)) kg m-2 day-1>,
     <Field: air_temperature(cf_role=timeseries_id(3), ncdim%timeseries(26), ncdim%profile_1(4)) K>]

    See the `cfdm.example_field` for more details.

    """
    if not n:
        out = []
        i = 0
        while True:
            try:
                out.append(_func(i))
            except ValueError:
                break

            i += 1
    else:
        out = [_func(i) for i in n]

    return out


def example_domain(n, _func=example_field):
    """Return an example domain construct.

    .. versionadded:: (cfdm) 1.8.9.0

    .. seealso:: `cfdm.example_field`, `cfdm.example_fields`

    :Parameters:

        n: `int`
            Select the example domain construct to return, one of:

            ======  ==================================================
            *n*     Domain construct description
            ======  ==================================================
            ``0``   Dimension coordinate metadata constructs.

            ``1``   Dimension coordinate, auxiliary coordinate, cell
                    measure, coordinate reference, domain ancillary
                    and field ancillary metadata constructs.

            ``2``   A monthly time series at each latitude-longitude
                    location.

            ``3``   Discrete sampling geometry (DSG) "timeSeries"
                    features.

            ``4``   Discrete sampling geometry (DSG)
                    "timeSeriesProfile" features.

            ``5``   A 12 hourly time series at each latitude-longitude
                    location.

            ``6``   Polygon geometry coordinate cells with interior
                    ring variables.

            ``7``   Rotated pole dimension coordinate constructs and
                    2-d latitude and longitude auxiliary coordinate
                    constructs.

            ``8``   A UGRID mesh topology of face cells.

            ``9``   A UGRID mesh topology of edge cells.

            ``10``  A UGRID mesh topology of point cells.

            ``11``  Discrete sampling geometry (DSG) "trajectory"
                    features.
            ======  ==================================================

            See the examples for details.

        _func: function
            The function that creates the field construct from which
            the domain construct is derived.

    :Returns:

        `Domain`
            The example domain construct.

    **Examples**

    >>> f = cfdm.example_domain(0)
    >>> print(f)
    Dimension coords: latitude(5) = [-75.0, ..., 75.0] degrees_north
                    : longitude(8) = [22.5, ..., 337.5] degrees_east
                    : time(1) = [2019-01-01 00:00:00]

    >>> f = cfdm.example_domain(1)
    >>> print(f)
    Dimension coords: atmosphere_hybrid_height_coordinate(1) = [1.5]
                    : grid_latitude(10) = [2.2, ..., -1.76] degrees
                    : grid_longitude(9) = [-4.7, ..., -1.18] degrees
                    : time(1) = [2019-01-01 00:00:00]
    Auxiliary coords: latitude(grid_latitude(10), grid_longitude(9)) = [[53.941, ..., 50.225]] degrees_N
                    : longitude(grid_longitude(9), grid_latitude(10)) = [[2.004, ..., 8.156]] degrees_E
                    : long_name=Grid latitude name(grid_latitude(10)) = [--, ..., kappa]
    Cell measures   : measure:area(grid_longitude(9), grid_latitude(10)) = [[2391.9657, ..., 2392.6009]] km2
    Coord references: grid_mapping_name:rotated_latitude_longitude
                    : standard_name:atmosphere_hybrid_height_coordinate
    Domain ancils   : ncvar%a(atmosphere_hybrid_height_coordinate(1)) = [10.0] m
                    : ncvar%b(atmosphere_hybrid_height_coordinate(1)) = [20.0]
                    : surface_altitude(grid_latitude(10), grid_longitude(9)) = [[0.0, ..., 270.0]] m

    >>> f = cfdm.example_domain(2)
    >>> print(f)
    Dimension coords: time(36) = [1959-12-16 12:00:00, ..., 1962-11-16 00:00:00]
                    : latitude(5) = [-75.0, ..., 75.0] degrees_north
                    : longitude(8) = [22.5, ..., 337.5] degrees_east
                    : air_pressure(1) = [850.0] hPa

    >>> f = cfdm.example_domain(3)
    >>> print(f)
    Auxiliary coords: time(cf_role=timeseries_id(4), ncdim%timeseries(9)) = [[1969-12-29 00:00:00, ..., 1970-01-07 00:00:00]]
                    : latitude(cf_role=timeseries_id(4)) = [-9.0, ..., 78.0] degrees_north
                    : longitude(cf_role=timeseries_id(4)) = [-23.0, ..., 178.0] degrees_east
                    : height(cf_role=timeseries_id(4)) = [0.5, ..., 345.0] m
                    : cf_role=timeseries_id(cf_role=timeseries_id(4)) = [station1, ..., station4]
                    : long_name=station information(cf_role=timeseries_id(4)) = [-10, ..., -7]

    >>> f = cfdm.example_domain(4)
    >>> print(f)
    Auxiliary coords: time(cf_role=timeseries_id(3), ncdim%timeseries(26)) = [[1970-01-04 00:00:00, ..., --]]
                    : latitude(cf_role=timeseries_id(3)) = [-9.0, 2.0, 34.0] degrees_north
                    : longitude(cf_role=timeseries_id(3)) = [-23.0, 0.0, 67.0] degrees_east
                    : height(cf_role=timeseries_id(3)) = [0.5, 12.6, 23.7] m
                    : altitude(cf_role=timeseries_id(3), ncdim%timeseries(26), ncdim%profile_1(4)) = [[[2.07, ..., --]]] km
                    : cf_role=timeseries_id(cf_role=timeseries_id(3)) = [station1, station2, station3]
                    : long_name=station information(cf_role=timeseries_id(3)) = [-10, -9, -8]
                    : cf_role=profile_id(cf_role=timeseries_id(3), ncdim%timeseries(26)) = [[102, ..., --]]

    >>> f = cfdm.example_domain(5)
    >>> print(f)
    Dimension coords: time(118) = [1959-01-01 06:00:00, ..., 1959-02-28 18:00:00]
                    : latitude(5) = [-75.0, ..., 75.0] degrees_north
                    : longitude(8) = [22.5, ..., 337.5] degrees_east
                    : air_pressure(1) = [850.0] hPa

    >>> f = cfdm.example_domain(6)
    >>> print(f)
    Dimension coords: time(4) = [2000-01-16 12:00:00, ..., 2000-04-15 00:00:00]
    Auxiliary coords: latitude(cf_role=timeseries_id(2)) = [25.0, 7.0] degrees_north
                    : longitude(cf_role=timeseries_id(2)) = [10.0, 40.0] degrees_east
                    : cf_role=timeseries_id(cf_role=timeseries_id(2)) = [x1, y2]
                    : ncvar%z(cf_role=timeseries_id(2), 3, 4) = [[[1.0, ..., --]]] m
    Coord references: grid_mapping_name:latitude_longitude

    >>> f = cfdm.example_domain(7)
    >>> print(f)
    Dimension coords: time(3) = [1979-05-01 12:00:00, 1979-05-02 12:00:00, 1979-05-03 12:00:00] gregorian
                    : air_pressure(1) = [850.0] hPa
                    : grid_latitude(4) = [0.44, ..., -0.88] degrees
                    : grid_longitude(5) = [-1.18, ..., 0.58] degrees
    Auxiliary coords: latitude(grid_latitude(4), grid_longitude(5)) = [[52.4243, ..., 51.1163]] degrees_north
                    : longitude(grid_latitude(4), grid_longitude(5)) = [[8.0648, ..., 10.9238]] degrees_east
    Coord references: grid_mapping_name:rotated_latitude_longitude

    >>> print(example_domain(8))
    Dimension coords: time(2) = [2016-01-02 01:00:00, 2016-01-02 11:00:00] gregorian
    Auxiliary coords: longitude(ncdim%nMesh2_face(3)) = [-44.0, -44.0, -42.0] degrees_east
                    : latitude(ncdim%nMesh2_face(3)) = [34.0, 32.0, 34.0] degrees_north
    Topologies      : cell:face(ncdim%nMesh2_face(3), 4) = [[2, ..., --]]
    Connectivities  : connectivity:edge(ncdim%nMesh2_face(3), 5) = [[0, ..., --]]

    >>> print(example_domain(9))
    Dimension coords: time(2) = [2016-01-02 01:00:00, 2016-01-02 11:00:00] gregorian
    Auxiliary coords: longitude(ncdim%nMesh2_edge(9)) = [-41.5, ..., -43.0] degrees_east
                    : latitude(ncdim%nMesh2_edge(9)) = [34.5, ..., 32.0] degrees_north
    Topologies      : cell:edge(ncdim%nMesh2_edge(9), 2) = [[1, ..., 5]]
    Connectivities  : connectivity:node(ncdim%nMesh2_edge(9), 6) = [[0, ..., --]]

    >>> print(example_domain(10))
    Dimension coords: time(2) = [2016-01-02 01:00:00, 2016-01-02 11:00:00] gregorian
    Auxiliary coords: longitude(ncdim%nMesh2_node(7)) = [-45.0, ..., -40.0] degrees_east
                    : latitude(ncdim%nMesh2_node(7)) = [35.0, ..., 34.0] degrees_north
    Topologies      : cell:point(ncdim%nMesh2_node(7), 5) = [[0, ..., --]]

    >>> print(cfdm.example_domain(11)
    Auxiliary coords: time(cf_role=trajectory_id(1), ncdim%trajectory(4)) = [[2024-02-26 09:01:00, ..., 2024-02-26 09:04:00]] standard
                    : altitude(cf_role=trajectory_id(1), ncdim%trajectory(4)) = [[2577.0, ..., 2563.0]] m
                    : air_pressure(cf_role=trajectory_id(1), ncdim%trajectory(4)) = [[751.0, ..., 780.0]] hPa
                    : latitude(cf_role=trajectory_id(1), ncdim%trajectory(4)) = [[52.0, ..., 52.2]] degree_north
                    : longitude(cf_role=trajectory_id(1), ncdim%trajectory(4)) = [[0.0, ..., 0.31]] degree_east
                    : cf_role=trajectory_id(cf_role=trajectory_id(1)) = [flight1]

    """
    return _func(n).get_domain()