diff --git a/notebooks/advanced/autodask.ipynb b/notebooks/advanced/autodask.ipynb
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+++ b/notebooks/advanced/autodask.ipynb
@@ -0,0 +1,95 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import logging\n",
+    "import fsspec\n",
+    "import xarray as xr\n",
+    "from distributed import Client\n",
+    "from kerchunk.combine import auto_dask\n",
+    "from kerchunk.hdf import SingleHdf5ToZarr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "client = Client(n_workers=8, silence_logs=logging.ERROR)\n",
+    "client"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Initiate fsspec filesystems for reading\n",
+    "fs_read = fsspec.filesystem(\"s3\", anon=True, skip_instance_cache=True)\n",
+    "\n",
+    "files_paths = fs_read.glob(\"s3://smn-ar-wrf/DATA/WRF/DET/2022/12/31/12/*\")\n",
+    "\n",
+    "# Here we prepend the prefix 's3://', which points to AWS.\n",
+    "file_pattern = sorted([\"s3://\" + f for f in files_paths])\n",
+    "\n",
+    "# Keep just the \"01H\" data\n",
+    "file_pattern = file_pattern[0:-5]\n",
+    "print(len(file_pattern))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mzz = auto_dask(\n",
+    "    urls=file_pattern,\n",
+    "    single_kwargs=dict(\n",
+    "        inline_threshold=300,\n",
+    "        storage_options=dict(\n",
+    "            mode=\"rb\", anon=True, default_fill_cache=False, default_cache_type=\"first\"\n",
+    "        ),\n",
+    "    ),\n",
+    "    single_driver=SingleHdf5ToZarr,\n",
+    "    mzz_kwargs={\"concat_dims\": [\"time\"], \"identical_dims\": [\"y\", \"x\"]},\n",
+    "    n_batches=20,\n",
+    "    remote_protocol=\"s3\",\n",
+    "    remote_options={\"anon\": True},\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds = xr.open_dataset(\n",
+    "    \"reference://\",\n",
+    "    engine=\"zarr\",\n",
+    "    backend_kwargs={\n",
+    "        \"storage_options\": {\n",
+    "            \"fo\": mzz,\n",
+    "        },\n",
+    "        \"consolidated\": False,\n",
+    "    },\n",
+    ")\n",
+    "ds"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}