diff --git a/.github/workflows/run-tests.yml b/.github/workflows/run-tests.yml
index 667682e..221d5ac 100644
--- a/.github/workflows/run-tests.yml
+++ b/.github/workflows/run-tests.yml
@@ -66,7 +66,7 @@ jobs:
     strategy:
       matrix:
         os: ["ubuntu-latest", "windows-latest"]
-        python-version: ["3.10", "3.11", "3.12", "3.13"]
+        python-version: ["3.11", "3.12", "3.13", "3.14"]
       fail-fast: false
     defaults:
       run:
@@ -110,11 +110,11 @@ jobs:
         shell: bash -l {0}
     steps:
     - uses: actions/checkout@v4
-    - name: Install uv and set Python 3.10
+    - name: Install uv and set Python 3.11
       uses: astral-sh/setup-uv@c771a70e6277c0a99b617c7a806ffedaca235ff9 # v9.0.0
       with:
         version: "0.12.2"
-        python-version: "3.10"
+        python-version: "3.11"
         enable-cache: true
     - name: Install dependencies
       run: |
@@ -152,7 +152,7 @@ jobs:
     # test that updates to sharrow will not break the activitysim canonical examples
     needs: fmt
     env:
-      python-version: "3.10"
+      python-version: "3.11"
       label: linux-64
       # limit glibc malloc arenas, which can otherwise retain large amounts
       # of memory freed during numba compilation
diff --git a/pyproject.toml b/pyproject.toml
index e9c0913..91b63c5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -7,7 +7,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "sharrow"
-requires-python = ">=3.9"
+requires-python = ">=3.11"
 dynamic = ["version"]
 dependencies = [
     "numpy >= 1.19",
@@ -16,7 +16,7 @@ dependencies = [
     "h5py",
     "blosc2",
     "hdf5plugin",
-    "xarray",
+    "xarray >= 2025.3.1",
     "numba >= 0.57",
     "numexpr",
     "filelock",
@@ -26,9 +26,10 @@ dependencies = [
 classifiers = [
     "License :: OSI Approved :: BSD License",
     "Programming Language :: Python :: 3",
-    "Programming Language :: Python :: 3.9",
-    "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
+    "Programming Language :: Python :: 3.14",
 ]
 description = "numba for ActivitySim-style spec files"
 readme = "README.md"
@@ -52,7 +53,7 @@ write_to = "sharrow/_version.py"
 [tool.ruff]
 fix = true
 line-length = 88
-target-version = "py39"
+target-version = "py311"
 extend-include = ["*.ipynb"]
 
 [tool.ruff.lint]
@@ -97,5 +98,5 @@ dev = [
     "pytest-regressions>=2.8.3",
     "scipy>=1.13.1",
     "sparse>=0.15.5",
-    "zarr>=2.18.2",
+    "zarr>=3.1.3,<4",
 ]
diff --git a/sharrow/aster.py b/sharrow/aster.py
index 8b0b995..81ad48e 100755
--- a/sharrow/aster.py
+++ b/sharrow/aster.py
@@ -31,7 +31,7 @@ def unparse_(*args):
 
 
 def ast_String_value(x):
-    return x.value if isinstance(x, ast.Str) else x
+    return x.value if isinstance(x, ast.Constant) and isinstance(x.value, str) else x
 
 
 ast_TupleIndex_Type = ast.Tuple
@@ -469,9 +469,7 @@ def _maybe_transpose_first_two_args(_slice):
                     if isinstance(n, int):
                         elts.append(ast.Name(id=f"_arg{n:02}", ctx=ast.Load()))
                     elif isinstance(n, dict):
-                        elts.append(
-                            ast.Constant(n=n[missing_dim_value], ctx=ast.Load())
-                        )
+                        elts.append(ast.Constant(value=n[missing_dim_value]))
                     else:
                         elts.append(n)
                     logger.debug(f"ELT {unparse_(elts[-1])}")
@@ -534,12 +532,12 @@ def _maybe_transpose_first_two_args(_slice):
                     scale = digital_encoding.get("scale", 1)
                     offset = digital_encoding.get("offset", 0)
                     result = ast.Call(
-                        func=ast.Name("digital_decode", cts=ast.Load()),
+                        func=ast.Name("digital_decode", ctx=ast.Load()),
                         args=[
                             result,
-                            ast.Num(scale),
-                            ast.Num(offset),
-                            ast.Num(missing_value),
+                            ast.Constant(value=scale),
+                            ast.Constant(value=offset),
+                            ast.Constant(value=missing_value),
                         ],
                         keywords=[],
                     )
@@ -550,13 +548,13 @@ def _maybe_transpose_first_two_args(_slice):
                         result = ast.BinOp(
                             left=result,
                             op=ast.Mult(),
-                            right=ast.Num(scale),
+                            right=ast.Constant(value=scale),
                         )
                     if offset:
                         result = ast.BinOp(
                             left=result,
                             op=ast.Add(),
-                            right=ast.Num(offset),
+                            right=ast.Constant(value=offset),
                         )
 
         blender = self.blenders.get(attr, None)
@@ -582,7 +580,7 @@ def _maybe_transpose_first_two_args(_slice):
                         ast_Constant(max_blend_distance),  # blend_limit
                     )
                 result = ast.Call(
-                    func=ast.Name("get_blended_2", cts=ast.Load()),
+                    func=ast.Name("get_blended_2", ctx=ast.Load()),
                     args=get_blended_2_args,
                     keywords=[],
                 )
@@ -781,14 +779,14 @@ def visit_Call(self, node):
                 for a in node.args:
                     clip_args.append(self.visit(a))
                 result = ast.Call(
-                    func=ast.Name("clip", cts=ast.Load()),
+                    func=ast.Name("clip", ctx=ast.Load()),
                     args=clip_args,
                     keywords=[self.visit(i) for i in node.keywords],
                 )
             elif len(node.args) == 1 and len(node.keywords) == 0:
                 # single positional arg becomes max
                 result = ast.Call(
-                    func=ast.Name("max", cts=ast.Load()),
+                    func=ast.Name("max", ctx=ast.Load()),
                     args=[self.visit(node.func.value), self.visit(node.args[0])],
                     keywords=[],
                 )
@@ -797,7 +795,7 @@ def visit_Call(self, node):
                 if node.keywords[0].arg in ("upper", "max"):
                     # becomes min
                     result = ast.Call(
-                        func=ast.Name("min", cts=ast.Load()),
+                        func=ast.Name("min", ctx=ast.Load()),
                         args=[
                             self.visit(node.func.value),
                             self.visit(node.keywords[0].value),
@@ -807,7 +805,7 @@ def visit_Call(self, node):
                 elif node.keywords[0].arg in ("lower", "min"):
                     # becomes max
                     result = ast.Call(
-                        func=ast.Name("max", cts=ast.Load()),
+                        func=ast.Name("max", ctx=ast.Load()),
                         args=[
                             self.visit(node.func.value),
                             self.visit(node.keywords[0].value),
@@ -817,12 +815,12 @@ def visit_Call(self, node):
             elif len(node.args) == 2 and len(node.keywords) == 0:
                 # two positional arg becomes max and min
                 nested_call = ast.Call(
-                    func=ast.Name("min", cts=ast.Load()),
+                    func=ast.Name("min", ctx=ast.Load()),
                     args=[self.visit(node.func.value), self.visit(node.args[1])],
                     keywords=[],
                 )
                 result = ast.Call(
-                    func=ast.Name("max", cts=ast.Load()),
+                    func=ast.Name("max", ctx=ast.Load()),
                     args=[nested_call, self.visit(node.args[0])],
                     keywords=[],
                 )
@@ -834,7 +832,7 @@ def visit_Call(self, node):
                 for a in node.args:
                     clip_args.append(self.visit(a))
                 result = ast.Call(
-                    func=ast.Name("clip", cts=ast.Load()),
+                    func=ast.Name("clip", ctx=ast.Load()),
                     args=clip_args,
                     keywords=[self.visit(i) for i in node.keywords],
                 )
@@ -938,7 +936,7 @@ def visit_Call(self, node):
                         cat_is_lt_zero = ast.Compare(
                             left=apply_args[0].slice,
                             ops=[ast.Lt()],
-                            comparators=[ast.Num(0)],
+                            comparators=[ast.Constant(value=0)],
                         )
                         result = ast.BoolOp(
                             op=ast.Or(), values=[cat_is_lt_zero, result]
diff --git a/sharrow/dataset.py b/sharrow/dataset.py
index d68fae0..024a23c 100755
--- a/sharrow/dataset.py
+++ b/sharrow/dataset.py
@@ -6,6 +6,7 @@
 import logging
 import re
 import time
+import zipfile
 from collections.abc import Hashable, Iterable, Mapping, Sequence
 from pathlib import Path
 from typing import TYPE_CHECKING, Any
@@ -1187,10 +1188,13 @@ def from_zarr(store, *args, **kwargs):
 
 def from_zarr_with_attr(*args, **kwargs):
     obj = from_zarr(*args, **kwargs)
-    for k in obj:
+    for k in obj.variables:
         attrs = {}
         for aname, avalue in obj[k].attrs.items():
             attrs[aname] = _from_evalable_string(avalue)
+        digital_encoding = attrs.get("digital_encoding", {})
+        if "dictionary" in digital_encoding:
+            digital_encoding["dictionary"] = np.asarray(digital_encoding["dictionary"])
         obj[k] = obj[k].assign_attrs(attrs)
     attrs = {}
     for aname, avalue in obj.attrs.items():
@@ -1501,9 +1505,10 @@ def to_zarr_zip(self, *args, **kwargs):
     ----------
     store : MutableMapping, str or Path, optional
         Store or path to directory in file system.  If given with a
-        ".zarr.zip" extension, and keyword arguments limited to 'mode' and
-        'compression', then a ZipStore will be created, populated, and then
-        immediately closed.
+        ".zarr.zip" extension, then a ZipStore will be created, populated,
+        and immediately closed. ZIP writes require ``compute=True``.
+    zarr_format : {2, 3}, default 2
+        On-disk format. Format 2 preserves compatibility with existing caches.
     chunk_store : MutableMapping, str or Path, optional
         Store or path to directory in file system only for Zarr array chunks.
         Requires zarr-python v2.4.0 or later.
@@ -1568,14 +1573,29 @@ def to_zarr_zip(self, *args, **kwargs):
         If not other chunks are found, Zarr uses its own heuristics to
         choose automatic chunk sizes.
     """
-    if len(args) == 1 and isinstance(args[0], str) and args[0].endswith(".zarr.zip"):
-        if {"compression", "mode"}.issuperset(kwargs.keys()):
-            import zarr
-
-            with zarr.ZipStore(args[0], **kwargs) as store:
-                self.to_zarr(store)
-            return
-    return super().to_zarr(*args, **kwargs)
+    # Accept the older spelling even when Xarray no longer supports it.
+    zarr_version = kwargs.pop("zarr_version", None)
+    zarr_format = kwargs.get("zarr_format")
+    if zarr_format is None:
+        kwargs["zarr_format"] = zarr_version if zarr_version is not None else 2
+    elif zarr_version is not None and zarr_version != zarr_format:
+        raise ValueError("zarr_version and zarr_format must agree")
+
+    destination = args[0] if args else kwargs.get("store")
+    if isinstance(destination, (str, Path)) and str(destination).endswith(".zarr.zip"):
+        from zarr.storage import ZipStore
+
+        if kwargs.get("compute", True) is False:
+            raise ValueError("Writing a .zarr.zip file requires compute=True")
+        mode = "w" if kwargs.get("mode") == "w" else "a"
+        compression = kwargs.pop("compression", zipfile.ZIP_STORED)
+        with ZipStore(str(destination), mode=mode, compression=compression) as store:
+            if args:
+                args = (store, *args[1:])
+            else:
+                kwargs["store"] = store
+            return self.to_zarr(*args, **kwargs)
+    return self.to_zarr(*args, **kwargs)
 
 
 def _to_ast_literal(x):
@@ -1595,8 +1615,8 @@ def _to_ast_literal(x):
         return _to_ast_literal(x.to_list())
     elif isinstance(x, np.ndarray):
         return _to_ast_literal(list(x))
-    elif isinstance(x, np.str_):
-        return repr(str(x))
+    elif isinstance(x, np.generic):
+        return _to_ast_literal(x.item())
     else:
         return repr(x)
 
@@ -1612,6 +1632,13 @@ def _to_evalable_string(x):
         return f" {_to_ast_literal(x)} "
 
 
+class _RestoreSpecialFloats(ast.NodeTransformer):
+    def visit_Name(self, node):
+        if node.id in ("nan", "inf"):
+            return ast.Constant(value=float(node.id))
+        return node
+
+
 def _from_evalable_string(x):
     if isinstance(x, str):
         # if x.startswith(" {") and x.endswith("} "):
@@ -1624,7 +1651,8 @@ def _from_evalable_string(x):
             return False
         if x.startswith(" ") and x.endswith(" "):
             try:
-                return ast.literal_eval(x.strip(" "))
+                literal = ast.parse(x.strip(" "), mode="eval")
+                return ast.literal_eval(_RestoreSpecialFloats().visit(literal))
             except Exception:
                 print(x)
                 raise
@@ -1641,9 +1669,10 @@ def to_zarr_with_attr(self, *args, **kwargs):
     ----------
     store : MutableMapping, str or Path, optional
         Store or path to directory in file system.  If given with a
-        ".zarr.zip" extension, and keyword arguments limited to 'mode' and
-        'compression', then a ZipStore will be created, populated, and then
-        immediately closed.
+        ".zarr.zip" extension, then a ZipStore will be created, populated,
+        and immediately closed. ZIP writes require ``compute=True``.
+    zarr_format : {2, 3}, default 2
+        On-disk format. Format 2 preserves compatibility with existing caches.
     chunk_store : MutableMapping, str or Path, optional
         Store or path to directory in file system only for Zarr array chunks.
         Requires zarr-python v2.4.0 or later.
@@ -1724,7 +1753,7 @@ def to_zarr_with_attr(self, *args, **kwargs):
     for aname, avalue in self.attrs.items():
         attrs[aname] = _to_evalable_string(avalue)
     obj = obj.assign_attrs(attrs)
-    return obj.to_zarr(*args, **kwargs)
+    return obj.to_zarr_zip(*args, **kwargs)
 
 
 @register_dataset_method
diff --git a/sharrow/datastore.py b/sharrow/datastore.py
index 6a98d2c..b2a976e 100644
--- a/sharrow/datastore.py
+++ b/sharrow/datastore.py
@@ -15,7 +15,7 @@
 
 
 def timestamp():
-    return datetime.datetime.now(datetime.timezone.utc).astimezone().isoformat()
+    return datetime.datetime.now(datetime.UTC).astimezone().isoformat()
 
 
 class ReadOnlyError(ValueError):
diff --git a/sharrow/digital_encoding.py b/sharrow/digital_encoding.py
index 3ac0d65..d160d67 100644
--- a/sharrow/digital_encoding.py
+++ b/sharrow/digital_encoding.py
@@ -164,7 +164,9 @@ def digitize_by_dictionary(arr, bitwidth=8):
     result = arr.copy()
     bins = find_bins(arr, final_width=1 << bitwidth)
     try:
-        bin_edges = (bins[1:] - bins[:-1]) / 2 + bins[:-1]
+        has_nan = bool(len(bins)) and np.isnan(bins[-1])
+        numeric_bins = bins[:-1] if has_nan else bins
+        bin_edges = (numeric_bins[1:] - numeric_bins[:-1]) / 2 + numeric_bins[:-1]
     except TypeError:
         # bins are not numeric
         bin_map = {x: n for n, x in enumerate(bins)}
@@ -181,13 +183,19 @@ def digitize_by_dictionary(arr, bitwidth=8):
             pass
         else:
             if isinstance(arr_data, da.Array):
-                result.data = da.digitize(arr_data, bin_edges).astype(f"uint{bitwidth}")
+                codes = da.digitize(arr_data, bin_edges)
+                if has_nan:
+                    codes = da.where(da.isnan(arr_data), len(bins) - 1, codes)
+                result.data = codes.astype(f"uint{bitwidth}")
                 result.attrs["digital_encoding"] = {
                     "dictionary": bins,
                 }
                 return result
         # fall back to numpy digitize
-        result.data = np.digitize(arr, bin_edges).astype(f"uint{bitwidth}")
+        codes = np.digitize(arr, bin_edges)
+        if has_nan:
+            codes = np.where(np.isnan(arr), len(bins) - 1, codes)
+        result.data = codes.astype(f"uint{bitwidth}")
         result.attrs["digital_encoding"] = {
             "dictionary": bins,
         }
diff --git a/sharrow/relationships.py b/sharrow/relationships.py
index b0cb96b..2b915f2 100644
--- a/sharrow/relationships.py
+++ b/sharrow/relationships.py
@@ -1644,7 +1644,11 @@ def mapper_get(x, mapper=mapper):
                         return mapper.get(x, 0)
 
                     if upstream.size:
-                        offsets = xr.apply_ufunc(np.vectorize(mapper_get), upstream)
+                        # offsets are new data; don't inherit attrs (e.g.
+                        # last_checkpoint) from the label array
+                        offsets = xr.apply_ufunc(
+                            np.vectorize(mapper_get), upstream, keep_attrs=False
+                        )
                     else:
                         offsets = xr.DataArray([], dims=["index"])
                     if offsets.dtype.kind != "i":
diff --git a/sharrow/tests/test_aster.py b/sharrow/tests/test_aster.py
new file mode 100644
index 0000000..539a10c
--- /dev/null
+++ b/sharrow/tests/test_aster.py
@@ -0,0 +1,149 @@
+import ast
+
+import numpy as np
+import pytest
+
+from sharrow.aster import ast_String_value, expression_for_numba
+from sharrow.maths import clip, digital_decode, transpose_leading
+
+
+@pytest.mark.parametrize("value", ["DIST", "", "AM"])
+def test_string_constant_value(value):
+    assert ast_String_value(ast.Constant(value=value)) == value
+    assert ast_String_value(value) == value
+
+
+@pytest.mark.parametrize(
+    "expression", ["1", "1.5", "1j", "True", "None", "b'DIST'", "...", "name"]
+)
+def test_non_string_node_is_preserved(expression):
+    node = ast.parse(expression, mode="eval").body
+    assert ast_String_value(node) is node
+
+
+@pytest.mark.parametrize(
+    "expression, expected",
+    [
+        ("skims['DIST']", 3),
+        ("skims.get('DIST')", 3),
+        ("skims.get('DIST', 0)", 3),
+        ("skims.get('DIST', default=0)", 3),
+        ("skims.get('missing', 9)", 9),
+        ("skims.reverse('DIST')", 7),
+        ("skims.max('DIST')", 7),
+    ],
+)
+def test_string_lookup(expression, expected):
+    rewritten = expression_for_numba(
+        expression,
+        spacename="skims",
+        dim_slots=(0, 1),
+        spacevars={"DIST"},
+        get_default=True,
+    )
+    namespace = {
+        "__skims__DIST": np.array([[1, 3], [7, 9]]),
+        "_arg00": 0,
+        "_arg01": 1,
+        "transpose_leading": transpose_leading.py_func,
+    }
+    assert eval(rewritten, namespace) == expected
+
+
+def test_raw_string_lookup():
+    rewritten = expression_for_numba(
+        "____['income']",
+        spacename="",
+        dim_slots=(),
+        spacevars={"income": 1},
+    )
+    assert eval(rewritten, {"_inputs": np.array([5, 12])}) == 12
+
+
+@pytest.mark.filterwarnings("error::DeprecationWarning")
+@pytest.mark.parametrize(
+    "expression, expected",
+    [
+        ("np.clip(skims.DIST, 2, 4)", [2, 3, 4]),
+        ("skims.DIST.clip(2)", [2, 3, 5]),
+        ("skims.DIST.clip(upper=4)", [1, 3, 4]),
+        ("skims.DIST.clip(lower=2)", [2, 3, 5]),
+        ("skims.DIST.clip(2, 4)", [2, 3, 4]),
+        ("skims.DIST.clip(lower=2, upper=4)", [2, 3, 4]),
+    ],
+)
+def test_clip_rewrite(expression, expected):
+    rewritten = expression_for_numba(
+        expression,
+        spacename="skims",
+        dim_slots=(0,),
+        spacevars={"DIST"},
+    )
+    namespace = {
+        "__skims__DIST": np.array([1, 3, 5]),
+        "clip": clip.py_func,
+    }
+    result = [eval(rewritten, {**namespace, "_arg00": i}) for i in range(3)]
+    np.testing.assert_allclose(result, expected)
+
+
+def test_string_tuple_lookup():
+    rewritten = expression_for_numba(
+        "skims['DIST', 'PM']",
+        spacename="skims",
+        dim_slots=(0, 1, {"AM": 0, "PM": 1}),
+        spacevars={"DIST"},
+    )
+    namespace = {
+        "__skims__DIST": np.arange(8).reshape(2, 2, 2),
+        "_arg00": 0,
+        "_arg01": 1,
+    }
+    assert eval(rewritten, namespace) == 3
+
+
+@pytest.mark.parametrize(
+    "encoding, values, expected",
+    [
+        ({"scale": 2.5}, [0, 4], [0, 10]),
+        ({"offset": 5}, [0, 4], [5, 9]),
+        ({"scale": 2.5, "offset": 5}, [0, 4], [5, 15]),
+        (
+            {"scale": 2.5, "offset": 5, "missing_value": -99},
+            [-1, 0, 4],
+            [-99, 5, 15],
+        ),
+    ],
+)
+def test_numeric_decoding(encoding, values, expected):
+    rewritten = expression_for_numba(
+        "skims.DIST",
+        spacename="skims",
+        dim_slots=(0,),
+        spacevars={"DIST"},
+        digital_encodings={"DIST": encoding},
+    )
+    namespace = {
+        "__skims__DIST": np.array(values),
+        "digital_decode": digital_decode.py_func,
+    }
+    result = [eval(rewritten, {**namespace, "_arg00": i}) for i in range(len(values))]
+    np.testing.assert_allclose(result, expected)
+
+
+@pytest.mark.parametrize("code, expected", [(-1, True), (0, True), (1, False)])
+def test_categorical_missing_value(code, expected):
+    rewritten = expression_for_numba(
+        "skims.mode.isna()",
+        spacename="skims",
+        dim_slots=(0,),
+        spacevars={"mode"},
+        digital_encodings={"mode": {"dictionary": np.array([np.nan, 1.0])}},
+    )
+    namespace = {
+        "__skims__mode": np.array([code]),
+        "__encoding_dict__skims__mode": np.array([np.nan, 1.0]),
+        "_arg00": 0,
+        "isnan_fast_safe": np.isnan,
+    }
+    assert bool(eval(rewritten, namespace)) is expected
diff --git a/sharrow/tests/test_zarr.py b/sharrow/tests/test_zarr.py
new file mode 100644
index 0000000..ea7f85b
--- /dev/null
+++ b/sharrow/tests/test_zarr.py
@@ -0,0 +1,217 @@
+import json
+import multiprocessing as mp
+import secrets
+import zipfile
+
+import dask
+import numpy as np
+import pytest
+import xarray as xr
+from zarr.storage import ZipStore
+
+import sharrow as sh
+
+
+@pytest.fixture
+def encoded_skims():
+    original = xr.Dataset(
+        {
+            "DIST": (("otaz", "dtaz"), np.array([[0, 5.25], [-999, 7.5]])),
+            "FARE": (("otaz", "dtaz"), np.array([[1, 2], [2, np.nan]])),
+            "TIME": (
+                ("otaz", "dtaz", "time_period"),
+                np.arange(8, dtype=np.float32).reshape(2, 2, 2),
+            ),
+            "VALID": (("otaz", "dtaz"), np.array([[True, False], [False, True]])),
+        },
+        coords={"otaz": [0, 1], "dtaz": [0, 1], "time_period": ["AM", "PM"]},
+        attrs={
+            "ZARR_WRITE_TIME": 123.5,
+            "settings": {"enabled": True, "optional": None},
+        },
+    )
+    original.otaz.attrs["labels"] = {"zero": 0, "scale": np.float32(0.25)}
+    encoded = original.digital_encoding.set(
+        "DIST", scale=0.25, offset=0, missing_value=-999, bitwidth=16
+    ).digital_encoding.set("FARE", by_dict=True, bitwidth=8)
+    encoded.DIST.attrs["description"] = "Distance with a missing value sentinel"
+    return original, encoded
+
+
+def _assert_encoded_skims(original, encoded, recovered):
+    xr.testing.assert_equal(recovered, encoded)
+    assert recovered.attrs == encoded.attrs
+    assert recovered.otaz.attrs == encoded.otaz.attrs
+    assert recovered.DIST.attrs == encoded.DIST.attrs
+    np.testing.assert_array_equal(
+        recovered.FARE.attrs["digital_encoding"]["dictionary"],
+        encoded.FARE.attrs["digital_encoding"]["dictionary"],
+    )
+    for name in encoded.variables:
+        assert recovered[name].dtype == encoded[name].dtype
+    decoded = recovered.digital_encoding.strip(["DIST", "FARE"])
+    xr.testing.assert_allclose(decoded, original)
+
+
+@pytest.mark.parametrize("chunked", [False, True])
+@pytest.mark.parametrize("zipped", [False, True])
+def test_encoded_skims_roundtrip(tmp_path, encoded_skims, chunked, zipped):
+    original, encoded = encoded_skims
+    snapshot = encoded.copy(deep=True)
+    if chunked:
+        encoded = encoded.chunk({"otaz": 1, "dtaz": 1, "time_period": 1})
+    cache = tmp_path / ("skims.zarr.zip" if zipped else "skims.zarr")
+    encoded.to_zarr_with_attr(cache)
+    if zipped:
+        with zipfile.ZipFile(cache) as archive:
+            assert json.loads(archive.read(".zgroup"))["zarr_format"] == 2
+        with ZipStore(cache, mode="r") as store:
+            with sh.dataset.from_zarr_with_attr(store) as recovered:
+                _assert_encoded_skims(original, snapshot, recovered.load())
+    else:
+        assert json.loads((cache / ".zgroup").read_text())["zarr_format"] == 2
+        assert not (cache / "zarr.json").exists()
+        with sh.dataset.from_zarr_with_attr(cache) as recovered:
+            _assert_encoded_skims(original, snapshot, recovered.load())
+    # Attribute serialization must not mutate the source dataset.
+    _assert_encoded_skims(original, snapshot, encoded.compute())
+
+
+@pytest.mark.parametrize("chunked", [False, True])
+@pytest.mark.parametrize("values", [[1.0, 2.0, np.nan], [np.nan, np.nan]])
+def test_dictionary_encoding_with_nan(values, chunked):
+    original = xr.Dataset({"value": ("row", values)})
+    if chunked:
+        original = original.chunk({"row": 1})
+    encoded = original.digital_encoding.set("value", by_dict=True, bitwidth=8)
+    xr.testing.assert_allclose(encoded.digital_encoding.strip("value"), original)
+
+
+def test_special_float_attributes(tmp_path):
+    original = xr.Dataset(
+        {"value": ("row", [0, 1])},
+        attrs={"limits": [np.float32(-np.inf), np.float64(np.inf), np.nan]},
+    )
+    cache = tmp_path / "special.zarr"
+    original.to_zarr_with_attr(cache)
+    with sh.dataset.from_zarr_with_attr(cache) as recovered:
+        np.testing.assert_array_equal(
+            recovered.attrs["limits"], original.attrs["limits"]
+        )
+
+
+def test_existing_format2_skims():
+    with sh.example_data.get_example_data_path("skims.zarr") as cache:
+        assert json.loads((cache / ".zgroup").read_text())["zarr_format"] == 2
+        with sh.dataset.from_zarr_with_attr(cache, consolidated=False) as recovered:
+            np.testing.assert_allclose(
+                recovered.DIST.values[:2, :3],
+                [[0.12, 0.24, 0.44], [0.37, 0.14, 0.28]],
+                atol=1e-6,
+            )
+
+
+def test_legacy_encoded_attributes(tmp_path):
+    legacy = xr.Dataset(
+        {"FARE": ("row", np.array([0, 1, 0], dtype=np.uint8))},
+        attrs={"settings": " {'enabled': True, 'optional': None} "},
+    )
+    legacy.FARE.attrs["digital_encoding"] = " {'dictionary': [1.0, 2.0]} "
+    cache = tmp_path / "legacy.zarr"
+    legacy.to_zarr(cache, zarr_format=2)
+    with sh.dataset.from_zarr_with_attr(cache) as recovered:
+        assert recovered.attrs["settings"] == {"enabled": True, "optional": None}
+        np.testing.assert_array_equal(
+            recovered.digital_encoding.strip("FARE").FARE.values, [1, 2, 1]
+        )
+
+
+@pytest.mark.parametrize("use_path", [False, True])
+@pytest.mark.parametrize("use_keyword", [False, True])
+def test_zarr_zip_roundtrip(tmp_path, encoded_skims, use_path, use_keyword):
+    _, encoded = encoded_skims
+    plain = encoded[["TIME", "VALID"]].copy(deep=True)
+    plain.attrs = {}
+    for name in plain.variables:
+        plain[name].attrs = {}
+    cache = tmp_path / "skims.zarr.zip"
+    store = cache if use_path else str(cache)
+    kwargs = {"mode": "w", "compression": zipfile.ZIP_STORED, "consolidated": False}
+    if use_keyword:
+        plain.to_zarr_zip(store=store, **kwargs)
+    else:
+        plain.to_zarr_zip(store, **kwargs)
+    with zipfile.ZipFile(cache) as archive:
+        assert json.loads(archive.read(".zgroup"))["zarr_format"] == 2
+    with ZipStore(cache, mode="r") as zipped:
+        with xr.open_zarr(zipped, consolidated=False) as recovered:
+            xr.testing.assert_identical(recovered.load(), plain)
+
+
+def test_zarr_zip_directory_fallback(tmp_path):
+    original = xr.Dataset({"value": ("row", [0, 1, 2])})
+    cache = tmp_path / "plain.zarr"
+    original.to_zarr_zip(cache)
+    assert json.loads((cache / ".zgroup").read_text())["zarr_format"] == 2
+    with xr.open_zarr(cache) as recovered:
+        xr.testing.assert_identical(original, recovered.load())
+
+
+def test_zarr_zip_requires_immediate_write(tmp_path):
+    original = xr.Dataset({"value": ("row", [0, 1, 2])}).chunk({"row": 1})
+    cache = tmp_path / "delayed.zarr.zip"
+    with pytest.raises(ValueError, match="compute=True"):
+        original.to_zarr_zip(cache, compute=False)
+    assert not cache.exists()
+
+
+@pytest.mark.parametrize("format_kwargs", [{"zarr_format": 3}, {"zarr_version": 2}])
+def test_explicit_zarr_format(tmp_path, format_kwargs):
+    original = xr.Dataset({"value": ("row", [0, 1, 2])}, attrs={"optional": None})
+    cache = tmp_path / "explicit.zarr"
+    original.to_zarr_with_attr(cache, **format_kwargs)
+    version = format_kwargs.get("zarr_format", format_kwargs.get("zarr_version"))
+    metadata_file = ".zgroup" if version == 2 else "zarr.json"
+    assert json.loads((cache / metadata_file).read_text())["zarr_format"] == version
+    with sh.dataset.from_zarr_with_attr(cache) as recovered:
+        xr.testing.assert_identical(original, recovered.load())
+
+
+def _copy_cache_in_worker(cache, token, destination):
+    # A fork inherits Dask's cached pool without its worker threads. Use a
+    # process-local scheduler for cache IO, as ActivitySim does when loading.
+    with (
+        dask.config.set(scheduler="synchronous"),
+        sh.dataset.from_zarr_with_attr(cache) as recovered,
+    ):
+        recovered.load()
+        shared = sh.Dataset.shm.from_shared_memory(token)
+        xr.testing.assert_equal(recovered, shared)
+        recovered.to_zarr_with_attr(destination)
+        with sh.dataset.from_zarr_with_attr(destination) as copied:
+            decoded = copied.digital_encoding.strip(["DIST", "FARE"])
+            return decoded.DIST.values, decoded.FARE.values
+
+
+@pytest.mark.parametrize("start_method", mp.get_all_start_methods())
+def test_encoded_cache_multiprocessing(tmp_path, encoded_skims, start_method):
+    original, encoded = encoded_skims
+    cache = tmp_path / "skims.zarr"
+    encoded.to_zarr_with_attr(cache)
+    # Initialize Zarr's IO thread before forking, as in a model preload.
+    with sh.dataset.from_zarr_with_attr(cache) as recovered:
+        recovered.load()
+        token = "zarr_test_" + secrets.token_hex(8)
+        shared = recovered.shm.to_shared_memory(token)
+        try:
+            context = mp.get_context(start_method)
+            with context.Pool(2) as pool:
+                results = pool.starmap_async(
+                    _copy_cache_in_worker,
+                    [(cache, token, tmp_path / f"worker_{i}.zarr") for i in range(2)],
+                ).get(timeout=60)
+            for distance, fare in results:
+                np.testing.assert_allclose(distance, original.DIST.values)
+                np.testing.assert_allclose(fare, original.FARE.values)
+        finally:
+            shared.shm.release_shared_memory()
diff --git a/sharrow/translate.py b/sharrow/translate.py
index 7236701..5cf6e00 100644
--- a/sharrow/translate.py
+++ b/sharrow/translate.py
@@ -93,4 +93,4 @@ def omx_to_zarr(
                     index_names[1]: r2,
                 },
             )
-        ds.to_zarr(zarr_directory, mode="a")
+        ds.to_zarr(zarr_directory, mode="a", zarr_format=2)
diff --git a/uv.lock b/uv.lock
index ba7d0af..9606089 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,391 +1,229 @@
 version = 1
 revision = 3
-requires-python = ">=3.9"
+requires-python = ">=3.11"
 resolution-markers = [
-    "python_full_version >= '3.12'",
-    "python_full_version == '3.11.*'",
-    "python_full_version == '3.10.*'",
-    "python_full_version < '3.10'",
+    "python_full_version >= '3.14' and sys_platform == 'win32'",
+    "python_full_version >= '3.14' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'win32'",
+    "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version < '3.12' and sys_platform == 'win32'",
+    "python_full_version < '3.12' and sys_platform == 'emscripten'",
+    "python_full_version < '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'",
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