diff --git a/docs/examples/image/quickstart.png b/docs/examples/image/quickstart.png
index e02bb0d6..f4767987 100644
Binary files a/docs/examples/image/quickstart.png and b/docs/examples/image/quickstart.png differ
diff --git a/docs/examples/quickstart.py b/docs/examples/quickstart.py
index b864c0ec..cf6098b1 100644
--- a/docs/examples/quickstart.py
+++ b/docs/examples/quickstart.py
@@ -1,11 +1,13 @@
 from pathlib import Path
 
+import flopy
 import imod.mf6
 import matplotlib.pyplot as plt
 import numpy as np
 
 from flopy4.mf6.gwf import Chd, Dis, Gwf, Ic, Npf, Oc
 from flopy4.mf6.ims import Ims
+from flopy4.mf6.interface.flopy3 import Flopy3Model
 from flopy4.mf6.simulation import Simulation
 from flopy4.mf6.tdis import Tdis
 
@@ -30,6 +32,9 @@
     save_budget={"*": "all"},
 )
 
+# flopy3 model interface
+gwf3 = Flopy3Model(gwf)
+
 # check CHD
 assert chd.data["head"][0, 0] == 1.0
 assert chd.data.head.sel(per=0)[99] == 0.0
@@ -42,29 +47,26 @@
 assert oc.data["save_head"][0] == "all"
 assert oc.data.save_head.sel(per=0) == "all"
 
-# PLOT
-# create budget reader
+# set paths
 bpth = Path("./quickstart_data/mymodel.bud")
 grbpth = Path("./quickstart_data/mymodel.dis.grb")
-
-# set specific discharge
-spdis = imod.mf6.open_cbc(bpth, grbpth, merge_to_dataset=True)
-
-# create head reader
 hpth = Path("./quickstart_data/mymodel.hds")
+
+# set data
+bobj = flopy.utils.CellBudgetFile(bpth, precision="double")
+spdis = bobj.get_data(text="DATA-SPDIS")[0]
+# spdis = imod.mf6.open_cbc(bpth, grbpth, merge_to_dataset=True)
 heads = imod.mf6.open_hds(hpth, grbpth)
-sq = heads.squeeze()
+
+# discharge vectors
+qx, qy, qz = flopy.utils.postprocessing.get_specific_discharge(spdis, gwf3)
+
+# plot
 fig, ax = plt.subplots()
-ax.tick_params()
-ax.set_xticks(np.arange(0, 11, 2), minor=False)
-ax.set_xticks(np.arange(1, 10, 2), minor=True)
-ax.set_yticks(np.arange(0, 11, 2), minor=False)
-ax.set_yticks(np.arange(1, 10, 2), minor=True)
-ax.grid(which="both", color="white")
-sq.plot.imshow(ax=ax)
-sq.plot.contour(ax=ax, levels=[0.2, 0.4, 0.6, 0.8], linewidths=3.0)
-spdis.squeeze().plot.quiver(
-    x="x", y="y", u="npf-qx", v="npf-qy", ax=ax, color="white"
-)
+pmv = flopy.plot.PlotMapView(model=gwf3, ax=ax)
+pmv.plot_array(heads[0][0])
+pmv.plot_grid(colors="white")
+pmv.contour_array(heads[0][0], levels=[0.2, 0.4, 0.6, 0.8], linewidths=3.0)
+pmv.plot_vector(qx, qy, color="white")
 qs_pth = Path("./image/quickstart.png")
 fig.savefig(qs_pth)
diff --git a/flopy4/mf6/gwf/dis.py b/flopy4/mf6/gwf/dis.py
index 897f72cd..76bb4ef8 100644
--- a/flopy4/mf6/gwf/dis.py
+++ b/flopy4/mf6/gwf/dis.py
@@ -58,19 +58,19 @@ class Dis(Package):
     )
     top: NDArray[np.floating] = array(
         default=1.0,
-        dims=("ncol", "nrow"),
+        dims=("nrow", "ncol"),
         metadata={"block": "griddata"},
         converter=Converter(convert_array, takes_self=True, takes_field=True),
     )
     botm: NDArray[np.floating] = array(
         default=0.0,
-        dims=("ncol", "nrow", "nlay"),
+        dims=("nlay", "nrow", "ncol"),
         metadata={"block": "griddata"},
         converter=Converter(convert_array, takes_self=True, takes_field=True),
     )
     idomain: NDArray[np.integer] = array(
         default=1,
-        dims=("ncol", "nrow", "nlay"),
+        dims=("nlay", "nrow", "ncol"),
         metadata={"block": "griddata"},
         converter=Converter(convert_array, takes_self=True, takes_field=True),
     )
diff --git a/flopy4/mf6/ims.py b/flopy4/mf6/ims.py
index e345b0cf..c7ba988f 100644
--- a/flopy4/mf6/ims.py
+++ b/flopy4/mf6/ims.py
@@ -59,6 +59,9 @@ class Ims(Solution):
     inner_dvclose: Optional[float] = field(
         default=None, metadata={"block": "linear"}
     )
+    inner_hclose: Optional[float] = field(
+        default=None, metadata={"block": "linear"}
+    )
     inner_rclose: Optional[float] = field(
         default=None, metadata={"block": "linear"}
     )
diff --git a/flopy4/mf6/interface/__init__.py b/flopy4/mf6/interface/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/flopy4/mf6/interface/flopy3.py b/flopy4/mf6/interface/flopy3.py
new file mode 100644
index 00000000..42c4d027
--- /dev/null
+++ b/flopy4/mf6/interface/flopy3.py
@@ -0,0 +1,393 @@
+import re
+from typing import Optional
+
+import numpy as np
+from flopy.datbase import DataInterface, DataListInterface, DataType
+from flopy.discretization import StructuredGrid
+from flopy.discretization.grid import Grid
+from flopy.discretization.modeltime import ModelTime
+from flopy.export.utils import model_export, package_export
+from flopy.mbase import ModelInterface
+from flopy.pakbase import PackageInterface
+from flopy.plot.plotutil import PlotUtilities
+from xattree import _get_xatspec, _Xattribute
+
+from flopy4.mf6.model import Model
+from flopy4.mf6.package import Package
+
+
+class Flopy3Model(ModelInterface):
+    def __init__(
+        self,
+        model: Model,
+        modelgrid: Optional[Grid] = None,
+        modeltime: Optional[ModelTime] = None,
+        ims: Optional[Package] = None,
+        crs: Optional[int] = None,
+    ):
+        self._model = model
+        self._grid = modelgrid
+        self._time = modeltime
+        self._ims = ims
+        self._plist = list()
+
+        if self._model is None:
+            raise Exception("Model Interface needs a model")
+
+        lenuni = "unknown"
+        xoff = 0.0
+        yoff = 0.0
+        angrot = 0.0
+
+        if self._grid is None:
+            if hasattr(model, "dis"):
+                if model.dis.length_units:
+                    lenuni = model.dis.length_units.data
+                if model.dis.xorigin:
+                    xoff = model.dis.xorigin.data
+                if model.dis.yorigin:
+                    yoff = model.dis.yorigin.data
+                if model.dis.angrot:
+                    yoff = model.dis.angrot.data
+
+                self._grid = StructuredGrid(
+                    delc=model.dis.delc.data,
+                    delr=model.dis.delr.data,
+                    top=model.dis.top.data,
+                    botm=model.dis.botm.data,
+                    idomain=model.dis.idomain.data,
+                    lenuni=lenuni,
+                    crs=crs,
+                    prjfile=None,
+                    xoff=xoff,
+                    yoff=yoff,
+                    angrot=angrot,
+                    nlay=model.dis.nlay,
+                    nrow=model.dis.nrow,
+                    ncol=model.dis.ncol,
+                    laycbd=None,
+                )
+
+        if hasattr(model, "children"):
+            for c in model.children:
+                p_fp3 = Flopy3Package(
+                    package=model.children[c],
+                    model=self,
+                    modeltime=modeltime,
+                )
+                self._plist.append(p_fp3)
+
+    @property
+    def modeltime(self):
+        return self._time
+
+    @property
+    def modelgrid(self):
+        return self._grid
+
+    @property
+    def packagelist(self):
+        return self._plist
+
+    @property
+    def namefile(self):
+        return ""
+
+    @property
+    def model_ws(self):
+        return ""
+
+    @property
+    def exename(self):
+        return ""
+
+    @property
+    def version(self):
+        return ""
+
+    @property
+    def solver_tols(self):
+        """
+        Solver inner hclose and rclose values.
+        """
+        if self._ims is not None:
+            return self._ims.inner_hclose, self._ims.inner_rclose
+
+        return None
+
+    @property
+    def laytyp(self):
+        """
+        Layering type.
+        """
+        if "npf" in self._model.data:
+            return self._model.data["npf"].icelltype
+
+        return None
+
+    @property
+    def hdry(self):
+        """
+        Dry cell value.
+        """
+        return -1e30
+
+    @property
+    def hnoflo(self):
+        """
+        No-flow cell value.
+        """
+        return 1e30
+
+    @property
+    def verbose(self):
+        return True
+
+    @property
+    def laycbd(self):
+        """
+        Quasi-3D confining bed. Not supported in MODFLOW 6.
+        """
+        return None
+
+    def get_package_list(self, ftype=None):
+        """
+        Get a list of all the package names.
+        """
+        return [p.name for p in self._plist]
+
+    def get_package(self, name=None):
+        for p in self._plist:
+            if p.name == name.upper():
+                return p
+        return None
+
+    def plot(self, packages: Optional[list] = None, **kwargs):
+        return PlotUtilities._plot_model_helper(
+            self, SelPackList=packages, **kwargs
+        )
+
+    def export(self, f, **kwargs):
+        return model_export(f, self, **kwargs)
+
+
+class Flopy3Package(PackageInterface):
+    def __init__(
+        self,
+        package: Package,
+        model: Optional[Flopy3Model] = None,
+        modelgrid: Optional[Grid] = None,
+        modeltime: Optional[ModelTime] = None,
+    ):
+        self._model = model
+        if hasattr(package, "data"):
+            self._data = package.data
+        else:
+            raise Exception("Input package has no data")
+        self._spec = _get_xatspec(type(package))
+        if modelgrid:
+            self._grid = modelgrid
+        elif model:
+            self._grid = model.modelgrid
+        else:
+            raise Exception("Input package needs grid")
+        self._time = modeltime
+        self._dlist = list()
+
+        for a in self._data.attrs:
+            if (
+                self._data.attrs[a] is not None
+                and self._spec.flat[a].type is not None
+            ):
+                d_fp3 = Flopy3Data(
+                    data=self._data.attrs[a],
+                    spec=self._spec.flat[a],
+                    name=a,
+                    modelname=self.parent,
+                    modelgrid=self._grid,
+                    modeltime=modeltime,
+                )
+                self.__dict__[f"{a}"] = d_fp3
+                self._dlist.append(d_fp3)
+
+        for v in self._data.data_vars:
+            if self._data.data_vars[v] is not None:
+                d_fp3 = Flopy3Data(
+                    data=self._data.data_vars[v],
+                    spec=self._spec.flat[v],
+                    name=v,
+                    modelname=self.parent,
+                    modelgrid=self._grid,
+                    modeltime=modeltime,
+                )
+                self.__dict__[f"{v}"] = d_fp3
+                self._dlist.append(d_fp3)
+
+    @property
+    def name(self):
+        # or upper() or title()
+        return self._data.name
+
+    @name.setter
+    def name(self, name):
+        """Package name"""
+        assert False, "Unsupported function to set the package name"
+
+    @property
+    def parent(self):
+        return self._model
+
+    @parent.setter
+    def parent(self, parent):
+        """Parent package"""
+        assert False, "Unsupported function to set the parent"
+
+    @property
+    def package_type(self):
+        return re.sub(r"\d+$", "", self._data.name).upper()
+
+    @property
+    def data_list(self):
+        return self._dlist
+
+    @property
+    def plottable(self):
+        return True
+
+    @property
+    def has_stress_period_data(self):
+        # TODO oc returns true? is stress package?
+        return "nper" in self._data.dims
+
+    def check(self, f=None, verbose=True, level=1, checktype=None):
+        """
+        Check package data for common errors.
+        """
+        return None
+
+    def plot(self, **kwargs):
+        return PlotUtilities._plot_package_helper(self, **kwargs)
+
+    def export(self, f, **kwargs):
+        return package_export(f, self, **kwargs)
+
+
+class Flopy3Data(DataInterface):
+    def __init__(
+        self,
+        data,
+        spec: _Xattribute,
+        name: Optional[str] = None,
+        modelname: Optional[str] = None,
+        modelgrid: Optional[Grid] = None,
+        modeltime: Optional[ModelTime] = None,
+    ):
+        assert data is not None
+        assert spec is not None
+        assert spec.type is not None
+        assert hasattr(spec.type, "__name__")
+        self._name = name
+        self._modelname = modelname
+        self._grid = modelgrid
+        self._time = modeltime
+        self._data = data
+        self._spec = spec
+
+    # class DataType(Enum):
+    #    array2d = 1 #  e.g. nrow, ncol
+    #    array3d = 2 #  e.g. nlay, nrow, ncol
+    #    transient2d = 3  # nper, nodes (grid)
+    #    transient3d = 4  # nper, nrow, ncol (layer)
+    #    list = 5
+    #    transientlist = 6
+    #    scalar = 7
+    #    transientscalar = 8
+    # TODO: how to handle transient data, list input
+    @property
+    def data_type(self):
+        match self._spec.type.__name__:
+            case "bool" | "float" | "integer":
+                return DataType.scalar
+            case "ndarray":
+                if "nper" in self._data.dims:
+                    if self._data.ndim == 2:
+                        if "nnodes" in self._data.dims:
+                            return DataType.transient2d  # nodes?
+                    if self._data.ndim == 3:
+                        return DataType.transient3d  # ncpl?
+                    if self._data.ndim == 4:
+                        return DataType.transient2d  # nodes?
+                else:
+                    if self._data.ndim == 1:
+                        if "nnodes" in self._data.dims:
+                            return DataType.array3d
+                    if self._data.ndim == 2:
+                        return DataType.array2d
+                    if self._data.ndim == 3:
+                        return DataType.array3d
+            # TODO: boundname, auxvar arrays of strings?
+            case _:
+                raise Exception(
+                    f"UNMATCHED data_type {self._name}: "
+                    f"{self._spec.type.__name__}"
+                )
+
+    @property
+    def dtype(self):
+        if self._spec.type.__name__ == "ndarray":
+            if self._data.data.dtype == np.dtype("float64"):
+                return np.float64
+            elif self._data.data.dtype == np.dtype("int64"):
+                return np.int64
+            elif self._data.data.dtype == np.dtype("int32"):
+                return np.int32
+        return self._spec.type.__name__
+
+    @property
+    def array(self):
+        if self._spec.type.__name__ == "ndarray":
+            if "nnodes" in self._data.dims:
+                if "nper" in self._data.dims:
+                    shape = (
+                        self._time.nper,
+                        self._grid.nnodes,
+                    )
+                else:
+                    shape = (
+                        self._grid.nlay,
+                        self._grid.nrow,
+                        self._grid.ncol,
+                    )
+
+                return self._data.data.reshape(shape)
+            else:
+                return self._data.data
+        return None
+
+    @property
+    def name(self):
+        return self._name
+
+    @property
+    def model(self):
+        return self._modelname
+
+    @property
+    def plottable(self):
+        if self.data_type == DataType.scalar:
+            return False
+        return True
+
+
+class Flopy3ListData(DataListInterface):
+    @property
+    def package(self):
+        pass
+
+    @property
+    def to_array(self, kper=0, mask=False):
+        pass
+
+    @property
+    def masked_4D_arrays_itr(self):
+        pass
diff --git a/pixi.lock b/pixi.lock
index 04a431b9..7a25d553 100644
--- a/pixi.lock
+++ b/pixi.lock
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+  platform: osx
   license: GPL-3.0-only
   license_family: GPL
   purls: []
@@ -9338,20 +9538,20 @@ packages:
   version: 0.24.0
   sha256: e274f62cbd274359eff63e5c7e7274c913e8e09620f6a57aae66744b3df046d6
   requires_python: '>=3.9'
-- pypi: https://files.pythonhosted.org/packages/1e/7c/6f63b46b2be870cbf3f54c9c4154d13fac4b8827f22fa05ac835c10835b2/ruff-0.11.8-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
+- pypi: https://files.pythonhosted.org/packages/4e/0b/c53a664f06e0faab596397867c6320c3816df479e888fe3af63bc3f89699/ruff-0.11.9-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
   name: ruff
-  version: 0.11.8
-  sha256: 7f024d32e62faad0f76b2d6afd141b8c171515e4fb91ce9fd6464335c81244e5
+  version: 0.11.9
+  sha256: 537c82c9829d7811e3aa680205f94c81a2958a122ac391c0eb60336ace741a70
   requires_python: '>=3.7'
-- pypi: https://files.pythonhosted.org/packages/7b/a9/eaa571eb70648c9bde3120a1d5892597de57766e376b831b06e7c1e43945/ruff-0.11.8-py3-none-win_amd64.whl
+- pypi: https://files.pythonhosted.org/packages/74/fc/ad80c869b1732f53c4232bbf341f33c5075b2c0fb3e488983eb55964076a/ruff-0.11.9-py3-none-macosx_10_12_x86_64.whl
   name: ruff
-  version: 0.11.8
-  sha256: 6e70d11043bef637c5617297bdedec9632af15d53ac1e1ba29c448da9341b0c4
+  version: 0.11.9
+  sha256: 66bc18ca783b97186a1f3100e91e492615767ae0a3be584e1266aa9051990722
   requires_python: '>=3.7'
-- pypi: https://files.pythonhosted.org/packages/a0/e4/0325e50d106dc87c00695f7bcd5044c6d252ed5120ebf423773e00270f50/ruff-0.11.8-py3-none-macosx_10_12_x86_64.whl
+- pypi: https://files.pythonhosted.org/packages/90/36/1da5d566271682ed10f436f732e5f75f926c17255c9c75cefb77d4bf8f10/ruff-0.11.9-py3-none-win_amd64.whl
   name: ruff
-  version: 0.11.8
-  sha256: ab86d22d3d721a40dd3ecbb5e86ab03b2e053bc93c700dc68d1c3346b36ce835
+  version: 0.11.9
+  sha256: 52edaa4a6d70f8180343a5b7f030c7edd36ad180c9f4d224959c2d689962d964
   requires_python: '>=3.7'
 - pypi: https://files.pythonhosted.org/packages/0b/1f/03f52c282437a168ee2c7c14a1a0d0781a9a4a8962d84ac05c06b4c5b555/scipy-1.15.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
   name: scipy
@@ -9758,10 +9958,10 @@ packages:
   - pyobjc-framework-cocoa ; sys_platform == 'darwin' and extra == 'objc'
   - pywin32 ; sys_platform == 'win32' and extra == 'win32'
   requires_python: '>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*'
-- pypi: https://files.pythonhosted.org/packages/53/7e/5d8af3317ddbf9519b687bd1c39d8737fde07d97f54df65553faca5cffb1/setuptools-80.3.1-py3-none-any.whl
+- pypi: https://files.pythonhosted.org/packages/a1/18/0e835c3a557dc5faffc8f91092f62fc337c1dab1066715842e7a4b318ec4/setuptools-80.7.1-py3-none-any.whl
   name: setuptools
-  version: 80.3.1
-  sha256: ea8e00d7992054c4c592aeb892f6ad51fe1b4d90cc6947cc45c45717c40ec537
+  version: 80.7.1
+  sha256: ca5cc1069b85dc23070a6628e6bcecb3292acac802399c7f8edc0100619f9009
   requires_dist:
   - pytest>=6,!=8.1.* ; extra == 'test'
   - virtualenv>=13.0.0 ; extra == 'test'
@@ -9926,6 +10126,8 @@ packages:
   depends:
   - libgcc-ng >=12
   - libzlib >=1.2.13,<2.0.0a0
+  arch: x86_64
+  platform: linux
   license: TCL
   license_family: BSD
   purls: []
@@ -9936,6 +10138,8 @@ packages:
   md5: bf830ba5afc507c6232d4ef0fb1a882d
   depends:
   - libzlib >=1.2.13,<2.0.0a0
+  arch: x86_64
+  platform: osx
   license: TCL
   license_family: BSD
   purls: []
@@ -9948,6 +10152,8 @@ packages:
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
+  arch: x86_64
+  platform: win
   license: TCL
   license_family: BSD
   purls: []
@@ -10033,7 +10239,7 @@ packages:
   version: 4.67.1
   sha256: 26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2
   requires_dist:
-  - colorama ; sys_platform == 'win32'
+  - colorama ; platform_system == 'Windows'
   - pytest>=6 ; extra == 'dev'
   - pytest-cov ; extra == 'dev'
   - pytest-timeout ; extra == 'dev'
@@ -10110,6 +10316,8 @@ packages:
   md5: 6797b005cd0f439c4c5c9ac565783700
   constrains:
   - vs2015_runtime >=14.29.30037
+  arch: x86_64
+  platform: win
   license: LicenseRef-MicrosoftWindowsSDK10
   purls: []
   size: 559710
@@ -10156,6 +10364,8 @@ packages:
   md5: d3f0381e38093bde620a8d85f266ae55
   depends:
   - vc14_runtime >=14.42.34433
+  arch: x86_64
+  platform: win
   track_features:
   - vc14
   license: BSD-3-Clause
@@ -10170,6 +10380,8 @@ packages:
   - ucrt >=10.0.20348.0
   constrains:
   - vs2015_runtime 14.42.34438.* *_26
+  arch: x86_64
+  platform: win
   license: LicenseRef-MicrosoftVisualCpp2015-2022Runtime
   license_family: Proprietary
   purls: []
@@ -10290,7 +10502,7 @@ packages:
   - types-pytz ; extra == 'types'
   - types-setuptools ; extra == 'types'
   requires_python: '>=3.10'
-- pypi: git+https://github.com/modflowpy/xattree.git#7fbd0a569e2e1afa2bc574b6e0189e55d6e015da
+- pypi: git+https://github.com/modflowpy/xattree#376b40ad2b71c0b7dee42b18e98756d35137bdcb
   name: xattree
   version: 0.1.0.dev0
   requires_dist:
diff --git a/pyproject.toml b/pyproject.toml
index b15495ca..5e84f473 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -47,7 +47,7 @@ dependencies = [
     "modflow-devtools[dfn] @ git+https://github.com/MODFLOW-USGS/modflow-devtools.git",
     "xattree @ git+https://github.com/modflowpy/xattree.git",
     "imod>=1.0.0-rc3",
-    "sparse>=0.15.5,<1",
+    "sparse>=0.15.5,<1", "pyproj>=3.7.1,<4", "netcdf4", "pyshp>=2.3.1,<3",
 ]
 dynamic = ["version"]
 
diff --git a/test/test_interface.py b/test/test_interface.py
new file mode 100644
index 00000000..456ae372
--- /dev/null
+++ b/test/test_interface.py
@@ -0,0 +1,403 @@
+from pathlib import Path
+
+import numpy as np
+import pytest
+from flopy.discretization import StructuredGrid
+from flopy.discretization.modeltime import ModelTime
+
+from flopy4.mf6.gwf import Chd, Dis, Gwf, Ic, Npf, Oc
+from flopy4.mf6.ims import Ims
+from flopy4.mf6.interface.flopy3 import Flopy3Model, Flopy3Package
+from flopy4.mf6.simulation import Simulation
+from flopy4.mf6.tdis import Tdis
+
+
+def quickstart_model():
+    ws = "./mymodel"
+    name = "mymodel"
+    tdis = Tdis()
+    ims = Ims()
+    sim = Simulation(name=name, tdis=tdis, solutions={"ims": ims})
+    dis = Dis(nrow=10, ncol=10)
+    gwf = Gwf(parent=sim, name=name, save_flows=True, dis=dis)
+    ic = Ic(parent=gwf)
+    npf = Npf(parent=gwf, save_specific_discharge=True)
+    chd = Chd(
+        parent=gwf,
+        head={"*": {(0, 0, 0): 1.0, (0, 9, 9): 0.0}},
+    )
+    oc = Oc(
+        parent=gwf,
+        budget_file=f"{name}.bud",
+        head_file=f"{name}.hds",
+        save_head={"*": "all"},
+        save_budget={"*": "all"},
+    )
+
+    return gwf
+
+
+def test_flopy3_model():
+    from flopy.mbase import ModelInterface
+    from flopy.pakbase import PackageInterface
+
+    time = ModelTime(perlen=[1.0], nstp=[1], tsmult=[1.0])
+    grid = StructuredGrid(nlay=1, nrow=10, ncol=10)
+
+    dims = {
+        "nlay": grid.nlay,
+        "nrow": grid.nrow,
+        "ncol": grid.ncol,
+    }
+
+    dis = Dis(**dims)
+    dis.nogrb = True
+    dis.xorigin = 0.0
+    dis.yorigin = 0.0
+
+    dims["nper"] = time.nper
+    dims["nnodes"] = grid.nnodes
+
+    # ims = Ims(dims=dims)
+    ims = Ims()
+    ims.inner_hclose = 1e-6
+    ims.inner_rclose = 0.1000000
+    ic = Ic(dims=dims)
+    oc = Oc(dims=dims)
+    npf = Npf(dims=dims)
+    chd = Chd(dims=dims, head={"*": {(0, 0, 0): 1.0, (0, 9, 9): 0.0}})
+
+    gwf = Gwf(
+        dis=dis,
+        ic=ic,
+        oc=oc,
+        npf=npf,
+        chd=[chd],
+        dims=dims,
+    )
+
+    pnames = ["dis", "ic", "oc", "npf", "chd0"]
+    ptypes = ["DIS", "IC", "OC", "NPF", "CHD"]
+
+    gwf3 = Flopy3Model(model=gwf, modeltime=time, ims=ims)
+    assert isinstance(gwf3, ModelInterface)
+    assert gwf3.modelgrid
+    assert gwf3.modelgrid.nlay == gwf.dis.nlay
+    assert gwf3.modelgrid.nrow == gwf.dis.nrow
+    assert gwf3.modelgrid.ncol == gwf.dis.ncol
+    assert gwf3.modelgrid.nnodes == grid.nnodes
+
+    assert gwf3.solver_tols == (ims.inner_hclose, ims.inner_rclose)
+    assert np.all(
+        np.equal(gwf3.laytyp, np.zeros(gwf3.modelgrid.nnodes, dtype=int))
+    )
+
+    # model packages
+    assert gwf3.get_package_list() == pnames
+    for i, p in enumerate(gwf3.packagelist):
+        assert isinstance(p, PackageInterface)
+        assert p.name == pnames[i]
+        assert p.package_type == ptypes[i]
+        assert p.parent is gwf3
+        # TODO oc?
+        if p.name == "chd0" or p.name == "oc":
+            assert p.has_stress_period_data
+        else:
+            assert not p.has_stress_period_data
+
+        # package data
+        dlist = [d.name for d in p.data_list]
+        print(f"PACKAGE {p.name} data list => {dlist}")
+        for d in p.data_list:
+            print(f"{p.name} data={d.name}")
+            # assert d.model == "gwf"
+            assert d.model is gwf3
+            print(f"dtype: {d.dtype}")
+            print(f"data_type: {d.data_type}")
+            print(f"array: {d.array}\n")
+
+    bpth = Path("output/flopy3_model/flopy3_model")
+    Path("output/flopy3_model").mkdir(parents=True, exist_ok=True)
+    gwf3.plot(filename_base=bpth)
+
+
+def test_flopy3_package():
+    from flopy.mbase import ModelInterface
+    from flopy.pakbase import PackageInterface
+
+    delr = [1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9]
+    delc = [2.9, 2.8, 2.7, 2.6, 2.5, 2.4, 2.3, 2.2, 2.1, 2.0]
+    top = [
+        [3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0],
+        [3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0],
+        [3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0],
+        [3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0],
+        [3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9],
+        [3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0],
+        [3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0],
+        [3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0],
+        [3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0],
+        [3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0],
+    ]
+    botm = [
+        [
+            [1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9],
+            [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, 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, 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],
+            [1.9, 1.8, 1.7, 1.6, 1.5, 1.4, 1.3, 1.2, 1.1, 1.0],
+        ]
+    ]
+
+    time = ModelTime(perlen=[1.0], nstp=[1], tsmult=[1.0])
+    grid = StructuredGrid(
+        nlay=1,
+        nrow=10,
+        ncol=10,
+        xoff=0.0,
+        yoff=0.0,
+        angrot=0.0,
+        delr=np.array(delr),
+        delc=np.array(delc),
+        top=np.array(top),
+        botm=np.array(botm),
+    )
+
+    dims = {
+        "nlay": grid.nlay,
+        "nrow": grid.nrow,
+        "ncol": grid.ncol,
+    }
+
+    dis = Dis(**dims)
+    dis.nogrb = True
+    dis.xorigin = 0.0
+    dis.yorigin = 0.0
+    dis.delr = delr
+    dis.delc = delc
+    dis.top = top
+    dis.botm = botm
+
+    dims["nper"] = time.nper
+    dims["nnodes"] = grid.nnodes
+
+    gwf = Gwf(
+        dis=dis,
+        dims=dims,
+    )
+
+    # gwf3 is needed because "parent" property needs
+    # to return it for flopy3 based plotting (below)
+    gwf3 = Flopy3Model(model=gwf, modeltime=time)
+    dis3 = Flopy3Package(package=dis, model=gwf3, modeltime=time)
+    assert isinstance(gwf3, ModelInterface)
+    assert isinstance(dis3, PackageInterface)
+    assert gwf3.modelgrid.nlay == grid.nlay
+    assert gwf3.modelgrid.nrow == grid.nrow
+    assert gwf3.modelgrid.ncol == grid.ncol
+    assert gwf3.modelgrid.nnodes == grid.nnodes
+    assert gwf3.modelgrid.angrot == grid.angrot
+    assert np.all(np.equal(gwf3.modelgrid.delr, grid.delr))
+    assert np.all(np.equal(gwf3.modelgrid.delc, grid.delc))
+    assert np.all(np.equal(gwf3.modelgrid.top, grid.top))
+    assert np.all(np.equal(gwf3.modelgrid.botm, grid.botm))
+
+    # model packages
+    assert dis3.name == "dis"
+    assert dis3.package_type == "DIS"
+    assert not dis3.has_stress_period_data
+
+    # package data
+    data_list = [
+        "nogrb",
+        "xorigin",
+        "yorigin",
+        "export_array_netcdf",
+        "delr",
+        "delc",
+        "top",
+        "botm",
+        "idomain",
+    ]
+    data = {
+        "delr": grid.delr,
+        "delc": grid.delc,
+        "top": grid.top,
+        "botm": grid.botm,
+    }
+    dlist = [d.name for d in dis3.data_list]
+    assert dlist == data_list
+
+    for k, v in data.items():
+        for di in dis3.data_list:
+            if di.name == k:
+                assert np.all(np.equal(di.array, v))
+
+    bpth = Path("output/flopy3_package/flopy3_package")
+    Path("output/flopy3_package").mkdir(parents=True, exist_ok=True)
+    dis3.plot(filename_base=bpth)
+
+
+def norun_test_flopy3_cbd_small():
+    import sys
+
+    sys.path.append("/home/mjreno/.clone/usgs/flopy/autotest")
+    from test_grid_cases import GridCases
+
+    time = ModelTime(perlen=[1.0], nstp=[1], tsmult=[1.0])
+
+    cbd_small = GridCases.structured_cbd_small()
+    dims = {
+        "nlay": cbd_small.nlay,
+        "nrow": cbd_small.nrow,
+        "ncol": cbd_small.ncol,
+    }
+    dis = Dis(**dims)
+    dims["nper"] = time.nper
+    dims["nnodes"] = cbd_small.nnodes
+    gwf = Gwf(
+        dis=dis,
+        dims=dims,
+    )
+    bpth = Path("output/flopy3_cbd_small/flopy3_cbd_small")
+    Path("output/flopy3_cbd_small").mkdir(parents=True, exist_ok=True)
+    gwf3 = Flopy3Model(model=gwf, modelgrid=cbd_small, modeltime=time)
+    gwf3.plot(filename_base=bpth)
+
+
+def test_flopy3_grid2():
+    lx = 5.0
+    lz = 1.0
+    nlay = 1
+    nrow = 1
+    ncol = 5
+    nper = 1
+    delc = 1.0
+    delr = lx / ncol
+    delz = lz / nlay
+    adelc = np.full((nrow), delc)
+    adelr = np.full((ncol), delr)
+    top = [[0.0, 0.0, -0.90, 0.0, 0.0]]
+    botm = [list(top - np.arange(delz, nlay * delz + delz, delz))]
+    idomain = np.full((nlay, nrow, ncol), 1)
+
+    dims = {
+        "nlay": nlay,
+        "nrow": nrow,
+        "ncol": ncol,
+    }
+
+    time = ModelTime(perlen=[1.0], nstp=[1], tsmult=[1.0])
+    dis = Dis(**dims)
+    dis.delr = adelr
+    dis.delc = adelc
+    dis.top = top
+    dis.botm = botm
+    dis.idomain = idomain
+    dims["nper"] = time.nper
+    dims["nnodes"] = nlay * nrow * ncol
+    gwf = Gwf(
+        dis=dis,
+        dims=dims,
+    )
+    bpth = Path("output/flopy3_grid2/flopy3_grid2")
+    Path("output/flopy3_grid2").mkdir(parents=True, exist_ok=True)
+    gwf3 = Flopy3Model(model=gwf, modeltime=time)
+    gwf3.plot(filename_base=bpth)
+
+
+def test_flopy3_export():
+    # see flopy test_export.py test_export_output()
+    Path("output/flopy3_model/shape").mkdir(parents=True, exist_ok=True)
+    Path("output/flopy3_package/shape").mkdir(parents=True, exist_ok=True)
+    Path("output/flopy3_model/netcdf").mkdir(parents=True, exist_ok=True)
+    Path("output/flopy3_package/netcdf").mkdir(parents=True, exist_ok=True)
+
+    time = ModelTime(perlen=[1.0], nstp=[1], tsmult=[1.0])
+
+    gwf = quickstart_model()
+    gwf3 = Flopy3Model(gwf, modeltime=time, crs=3070)
+    dis3 = Flopy3Package(gwf.dis, model=gwf3)
+
+    # model shapefile export
+    shp_mpth = Path("output/flopy3_model/shape/flopy3_model.shp")
+    gwf3.export(f=shp_mpth)
+
+    # package shapefile export
+    shp_ppth = Path("output/flopy3_package/shape/flopy3_package.shp")
+    dis3.export(f=shp_ppth)
+
+    # model netcdf export
+    nc_mpth = Path("output/flopy3_model/netcdf/flopy3_model.nc")
+    gwf3.export(f=nc_mpth)
+
+    # package netcdf export
+    nc_ppth = Path("output/flopy3_package/netcdf/flopy3_package.nc")
+    dis3.export(f=nc_ppth)
+
+
+@pytest.mark.xfail(
+    reason=(
+        "demonstrate why wrapping array values "
+        "with DataArray is necessary on set"
+    )
+)
+def test_fails():
+    from xarray import Dataset, DataTree
+    from xarray.indexes import PandasIndex
+
+    data = Dataset(
+        {
+            "delr": ("ncol", [1.0]),
+            "delc": (
+                "nrow",
+                [
+                    1.0,
+                    1.0,
+                    1.0,
+                ],
+            ),
+        },
+        coords={
+            "col": ("ncol", [0]),
+            "row": ("nrow", [0, 1, 2]),
+        },
+    )
+    data.set_xindex("col", PandasIndex)
+    data.set_xindex("row", PandasIndex)
+    tree = DataTree(data)
+    tree["delr"] = [2.0]
+    tree["delc"] = [2.0, 2.0, 2.0]
+
+
+def test_succeeds():
+    from xarray import DataArray, Dataset, DataTree
+    from xarray.indexes import PandasIndex
+
+    data = Dataset(
+        {
+            "delr": ("ncol", [1.0]),
+            "delc": (
+                "nrow",
+                [
+                    1.0,
+                    1.0,
+                    1.0,
+                ],
+            ),
+        },
+        coords={
+            "col": ("ncol", [0]),
+            "row": ("nrow", [0, 1, 2]),
+        },
+    )
+    data.set_xindex("col", PandasIndex)
+    data.set_xindex("row", PandasIndex)
+    tree = DataTree(data)
+    tree["delr"] = DataArray([2.0], dims="ncol")
+    tree["delc"] = DataArray([2.0, 2.0, 2.0], dims="nrow")
diff --git a/uv.lock b/uv.lock
index 428874aa..5c20767d 100644
--- a/uv.lock
+++ b/uv.lock
@@ -179,7 +179,7 @@ css = [
 
 [[package]]
 name = "bokeh"
-version = "3.7.2"
+version = "3.7.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "contourpy" },
@@ -193,9 +193,9 @@ dependencies = [
     { name = "tornado", marker = "sys_platform != 'emscripten'" },
     { name = "xyzservices" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/1d/8f/f41bb2fb9214bfe054055312d5744f354f536e08a3827fedaa75fb5238a3/bokeh-3.7.2.tar.gz", hash = "sha256:80c21885cec276431acd4db92f831c71eb999ea995470ce777e0c577b0cfc1d8", size = 6364893 }
+sdist = { url = "https://files.pythonhosted.org/packages/75/18/12d0d6024177ad18ba65deffc363046d0cbafe116f8b964a9efa85d2800f/bokeh-3.7.3.tar.gz", hash = "sha256:70a89a9f797b103d5ee6ad15fb7944adda115cf0da996ed0b75cfba61cb12f2b", size = 6366610 }
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+    { url = "https://files.pythonhosted.org/packages/91/48/08b2382e739236aa3360b7976360ba3e0c043b6234e25951c18c1eb6fa06/bokeh-3.7.3-py3-none-any.whl", hash = "sha256:b0e79dd737f088865212e4fdcb0f3b95d087f0f088bf8ca186a300ab1641e2c7", size = 7031447 },
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 [[package]]
@@ -375,14 +375,14 @@ wheels = [
 
 [[package]]
 name = "click"
-version = "8.1.8"
+version = "8.2.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "colorama", marker = "sys_platform == 'win32'" },
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+sdist = { url = "https://files.pythonhosted.org/packages/cd/0f/62ca20172d4f87d93cf89665fbaedcd560ac48b465bd1d92bfc7ea6b0a41/click-8.2.0.tar.gz", hash = "sha256:f5452aeddd9988eefa20f90f05ab66f17fce1ee2a36907fd30b05bbb5953814d", size = 235857 }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/a2/58/1f37bf81e3c689cc74ffa42102fa8915b59085f54a6e4a80bc6265c0f6bf/click-8.2.0-py3-none-any.whl", hash = "sha256:6b303f0b2aa85f1cb4e5303078fadcbcd4e476f114fab9b5007005711839325c", size = 102156 },
 ]
 
 [[package]]
@@ -776,16 +776,16 @@ wheels = [
 
 [[package]]
 name = "flopy"
-version = "3.9.2"
+version = "3.9.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "matplotlib" },
     { name = "numpy" },
     { name = "pandas" },
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+sdist = { url = "https://files.pythonhosted.org/packages/b4/94/46342e1e3c45c6ef9a19225406113a6785198096d3378a814d36c66c33b5/flopy-3.9.3.tar.gz", hash = "sha256:78ba488012c6c4926b69883832c7c0fe51b41fe79333731f4e6e63d7f1b604cc", size = 1264474 }
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+    { url = "https://files.pythonhosted.org/packages/a6/29/489532138735b4098e58f25485947e2b5233686883d1b0875bf4f8549583/flopy-3.9.3-py3-none-any.whl", hash = "sha256:43ccd54ebae58e85da68934b07a56a10378476e878b33d810f3d8474fbecae45", size = 1727550 },
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 [[package]]
@@ -798,9 +798,12 @@ dependencies = [
     { name = "imod" },
     { name = "jinja2" },
     { name = "modflow-devtools", extra = ["dfn"] },
+    { name = "netcdf4" },
     { name = "networkx" },
     { name = "numpy" },
     { name = "pandas" },
+    { name = "pyproj" },
+    { name = "pyshp" },
     { name = "scipy" },
     { name = "sparse" },
     { name = "toml" },
@@ -868,11 +871,14 @@ requires-dist = [
     { name = "modflow-devtools", marker = "extra == 'test'" },
     { name = "modflow-devtools", extras = ["dfn"], git = "https://github.com/MODFLOW-USGS/modflow-devtools.git" },
     { name = "mypy", marker = "extra == 'lint'" },
+    { name = "netcdf4" },
     { name = "networkx", specifier = ">=3.4.2,<4" },
     { name = "numpy", specifier = ">=1.20.3" },
     { name = "pandas", specifier = ">=2.0.0" },
     { name = "pooch", marker = "extra == 'test'", specifier = ">=1.8" },
     { name = "pre-commit", marker = "extra == 'lint'", specifier = ">=4.0.1,<5" },
+    { name = "pyproj", specifier = ">=3.7.1,<4" },
+    { name = "pyshp", specifier = ">=2.3.1,<3" },
     { name = "pytest", marker = "extra == 'test'", specifier = "!=8.1.0" },
     { name = "pytest-benchmark", marker = "extra == 'test'" },
     { name = "pytest-dotenv", marker = "extra == 'test'" },
@@ -889,35 +895,35 @@ provides-extras = ["dev", "lint", "test", "build"]
 
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-version = "4.57.0"
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