diff --git a/environment.yml b/environment.yml
index fdfceaa..68d9084 100644
--- a/environment.yml
+++ b/environment.yml
@@ -4,7 +4,7 @@ channels:
   - defaults
   - pyviz
 dependencies:
-  - python=3.9
+  - python
   - arm_pyart
   - matplotlib
   - hvplot
diff --git a/notebooks/gluing_and_inventory/concatinate_file.ipynb b/notebooks/gluing_and_inventory/concatinate_file.ipynb
index bdb4c2f..bd65a1d 100644
--- a/notebooks/gluing_and_inventory/concatinate_file.ipynb
+++ b/notebooks/gluing_and_inventory/concatinate_file.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "83599d36",
+   "id": "b1336072",
    "metadata": {},
    "source": [
     "# Gluing and Merging\n",
@@ -12,377 +12,571 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "651b9cf0-c8bb-4ccc-90bd-80624845243a",
+   "execution_count": 1,
+   "id": "374502ac",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "## You are using the Python ARM Radar Toolkit (Py-ART), an open source\n",
+      "## library for working with weather radar data. Py-ART is partly\n",
+      "## supported by the U.S. Department of Energy as part of the Atmospheric\n",
+      "## Radiation Measurement (ARM) Climate Research Facility, an Office of\n",
+      "## Science user facility.\n",
+      "##\n",
+      "## If you use this software to prepare a publication, please cite:\n",
+      "##\n",
+      "##     JJ Helmus and SM Collis, JORS 2016, doi: 10.5334/jors.119\n",
+      "\n"
+     ]
+    }
+   ],
    "source": [
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=DeprecationWarning) \n",
+    "\n",
     "import os\n",
-    "import pyart\n",
-    "from matplotlib import pyplot as plt\n",
-    "import numpy as np\n",
     "import time\n",
     "import datetime\n",
-    "%matplotlib inline"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3e7792af-42a1-42d1-8af7-8f026069eaf5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data_dir = '/eagle/projects/CPOL/SAIL/202111/'\n",
-    "all_files = os.listdir(data_dir)\n",
-    "all_files.sort()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ad702eaa-057e-4296-b2a0-707712dbace1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "base_scan_ppi = '1_PPI.nc'\n",
-    "ppi_pattern = 'PPI.nc'\n",
-    "base_scans = []\n",
-    "volumes = []\n",
-    "ppis = []\n",
-    "in_volume = False\n",
-    "for file in all_files:\n",
-    "    if ppi_pattern in file:\n",
-    "        ppis.append(file)\n",
-    "    if base_scan_ppi in file:\n",
-    "        base_scans.append(file)\n",
-    "    \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f852f1eb-4e96-4989-a461-6bfa7d7d9b85",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "n_tilts = 8"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e669b513-4038-4baa-a433-c23a6a15ec9f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "index = np.where(np.array(ppis) == base_scans[0])[0][0]\n",
-    "print(index)\n",
-    "print(ppis[index: index+n_tilts])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d9962404-23d2-4932-a674-c341ffcb3eb6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "volumes = []\n",
-    "for base in base_scans:\n",
-    "    base_scan_index = np.where(np.array(ppis) == base)[0][0]\n",
-    "    #print(base_scan_index)\n",
-    "    volume = ppis[base_scan_index: base_scan_index+n_tilts]\n",
-    "    volumes.append(volume)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e2ce11e5-cbe0-4417-9519-5f79c3a8bbbb",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "volumes[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e1c0a37e-c88e-4cd9-931b-1ef3d5a50602",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "base_radar = pyart.io.read(data_dir+volumes[0][0])\n",
-    "radars = [pyart.io.read(data_dir+sw) for sw in volumes[0][1::]]"
+    "import numpy as np\n",
+    "import xarray as xr\n",
+    "import tempfile\n",
+    "from pathlib import Path\n",
+    "import shutil \n",
+    "\n",
+    "from matplotlib import pyplot as plt\n",
+    "from dask.distributed import Client, LocalCluster, progress\n",
+    "\n",
+    "import pyart"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1d613986-b4b8-460b-98e2-772c092c3658",
+   "cell_type": "markdown",
+   "id": "691d7069",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "base_radar.elevation['data'].mean()"
+    "## Define Helper Functions"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "9515ebbe-c020-4745-aee7-bd05dab4bd98",
+   "execution_count": 2,
+   "id": "352f8fc6-5d59-45c2-916c-9bc4454910d0",
    "metadata": {},
    "outputs": [],
    "source": [
-    "radars"
+    "def glue_fix(ds):\n",
+    "    # Define the required encodings for the glue files\n",
+    "    encodings = {'DBZ' : {'_FillValue' : -32768.0},\n",
+    "                 'VEL' : {'_FillValue' : -32768.0},\n",
+    "                 'WIDTH' : {'_FillValue' : -32768.0},\n",
+    "                 'ZDR' : {'_FillValue' : -32768.0},\n",
+    "                 'PHIDP' : {'_FillValue' : -32768.0},\n",
+    "                 'RHOHV' : {'_FillValue' : -32768.0},\n",
+    "                 'NCP' : {'_FillValue' : -32768.0},\n",
+    "                 'DBZhv' : {'_FillValue' : -32768.0},\n",
+    "                }   \n",
+    "        \n",
+    "    # Loop over all the variables; update the FillValue and Data Type\n",
+    "    for var in encodings:\n",
+    "        # Convert all values within the DataArray to the correct Fill Value\n",
+    "        # NOTE: xr.where(condition, value_when_condition_is_not_met); so if every index is MVC, check for opposite\n",
+    "        mask = ds[var].where(ds[var] > -99800, encodings[var]['_FillValue'])\n",
+    "        # Append the corrected data to the variable.\n",
+    "        ds[var] = mask\n",
+    "    \n",
+    "    return ds"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "bbb380af-132a-4b29-903b-64d0f4c85761",
+   "execution_count": 3,
+   "id": "3dd6302a",
    "metadata": {},
    "outputs": [],
    "source": [
-    "for rad in radars:\n",
-    "    print(rad.elevation['data'].mean())\n",
-    "    print(rad.fixed_angle['data'])"
+    "def radar_glue(b_radar, radar_list):\n",
+    "    if radar_list is not None:\n",
+    "        for rad in radar_list:\n",
+    "            b_radar = pyart.util.join_radar(b_radar, rad)\n",
+    "            del rad\n",
+    "    else:\n",
+    "        b_radar = None\n",
+    "    return b_radar"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "d8392dfa-9f31-44a0-9345-7d2422605a2f",
+   "execution_count": 4,
+   "id": "b245fb02",
    "metadata": {},
    "outputs": [],
    "source": [
-    "for rad in radars:\n",
-    "    base_radar = pyart.util.join_radar(base_radar, rad)"
+    "def volume_from_list(base_radar, vlist, base_dir):\n",
+    "    try:\n",
+    "        radars = [pyart.io.read(base_dir+sw) for sw in vlist[1::]]\n",
+    "    except:\n",
+    "        radars = None\n",
+    "    return radar_glue(base_radar, radars)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "221e142c-cab5-4058-88d9-1ac58a91ba2f",
+   "execution_count": 5,
+   "id": "127bcf07-ff1f-47b3-a566-ff7ed6840884",
    "metadata": {},
    "outputs": [],
    "source": [
-    "base_radar.nsweeps"
+    "def fix_times(ds):\n",
+    "    # Determine number of specific times within the file\n",
+    "    specific = set(ds.time.data)\n",
+    "    # Loop through the specific times, and add offset\n",
+    "    for value in specific:\n",
+    "        dt = np.arange(0, len(ds.sel(time=slice(value, value)).time.data))\n",
+    "        dt = dt.astype('timedelta64[ms]')\n",
+    "        # add the time offset to the original times\n",
+    "        new_times = ds.sel(time=slice(value, value)).time.data + dt\n",
+    "        ds.sel(time=slice(value, value)).time.data[:] = new_times\n",
+    "    # Send back to the main\n",
+    "    return ds"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "b1c45ce3-2458-4007-bf04-92c8751ae2a0",
+   "execution_count": 6,
+   "id": "f1e461bf-7740-45f4-8797-47f1346c66f8",
    "metadata": {},
    "outputs": [],
    "source": [
-    "base_radar.info()"
+    "def granule(Dvolume):\n",
+    "    n_tilts = 8\n",
+    "    month = \"202203\"\n",
+    "    data_dir = \"/gpfs/wolf/atm124/proj-shared/gucxprecipradarS2.00/nc_files/\" + month + \"_nc/\"\n",
+    "    out_dir = \"/gpfs/wolf/atm124/proj-shared/gucxprecipradarS2.00/glue_files/\" + month + \"_glued/\"\n",
+    "\n",
+    "    # Read the base scan to determine if it can be read in\n",
+    "    if len(Dvolume) == 8:\n",
+    "        try:\n",
+    "            base_rad = pyart.io.read(data_dir+Dvolume[0])\n",
+    "        except:\n",
+    "            base_rad = None\n",
+    "        # Read all scans and join with base scan\n",
+    "        if base_rad is not None:\n",
+    "            out_radar = volume_from_list(base_rad, Dvolume, data_dir)\n",
+    "            if out_radar is not None:\n",
+    "                # Define the filename time from the radar object\n",
+    "                ff = time.strptime(out_radar.time['units'][14:], '%Y-%m-%dT%H:%M:%SZ')\n",
+    "                dt = datetime.datetime.fromtimestamp(time.mktime(ff)) + datetime.timedelta(seconds= int(out_radar.time['data'][0]))\n",
+    "                strform = dt.strftime(out_dir + 'xprecipradar_guc_volume_%Y%m%d-%H%M%S.b1.nc')\n",
+    "                #FIX for join issue.. to be fixed in Py-ART\n",
+    "                out_radar.sweep_mode['data']=np.tile(base_rad.sweep_mode['data'], n_tilts)\n",
+    "                try:\n",
+    "                    pyart.io.write_cfradial(strform, out_radar, arm_time_variables=True)\n",
+    "                    print('SUCCESS', strform)\n",
+    "                except:\n",
+    "                    print('FAILURE', strform)\n",
+    "                # Delete the radars to free up memory\n",
+    "                del base_rad\n",
+    "                del out_radar\n",
+    "            # Fix the times and encodings of the generated file\n",
+    "            with tempfile.TemporaryDirectory() as tmpdir:\n",
+    "                tmp_path = Path(tmpdir)\n",
+    "                with xr.open_dataset(strform, mask_and_scale=False) as ds:\n",
+    "                    ds = ds.load()\n",
+    "                    ds = fix_times(ds)\n",
+    "                    ds = glue_fix(ds)\n",
+    "                    out_path = str(tmp_path) + '/' + strform.split('/')[-1]\n",
+    "                    # set time encoding for miliseconds\n",
+    "                    ds.time.encoding['units'] = 'milliseconds since 1970-01-01'\n",
+    "                    ds.to_netcdf(path=out_path)\n",
+    "                shutil.copy(out_path, strform)"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "41046e3f-af62-4c2d-a43d-dd4e5e113f67",
+   "cell_type": "markdown",
+   "id": "2bda0c0c",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "base_radar.fixed_angle"
+    "## Locate all the PPI scans within the Desired Directories"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "2d9ae7e5-01e6-4a7d-9a23-48844b85cf93",
+   "execution_count": 7,
+   "id": "a405c35d",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def radar_glue(b_radar, radar_list):\n",
-    "    for rad in radar_list:\n",
-    "        b_radar = pyart.util.join_radar(b_radar, rad)\n",
-    "    \n",
-    "    return b_radar"
+    "month = \"202203\"\n",
+    "data_dir = \"/gpfs/wolf/atm124/proj-shared/gucxprecipradarS2.00/nc_files/\" + month + \"_nc/\"\n",
+    "out_dir = \"/gpfs/wolf/atm124/proj-shared/gucxprecipradarS2.00/glue_files/\" + month + \"_glued/\""
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "dcba6886-f6f2-4dfa-bd29-1b46a8c1c156",
+   "execution_count": 8,
+   "id": "4e6b5ba6",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def volume_from_list(vlist, base_dir):\n",
-    "    base_radar = pyart.io.read(base_dir+vlist[0])\n",
-    "    radars = [pyart.io.read(base_dir+sw) for sw in vlist[1::]]\n",
-    "    return radar_glue(base_radar, radars)"
+    "all_files = os.listdir(data_dir)\n",
+    "all_files.sort()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "4f4cb5cb-c736-4e97-99bc-62d7f4c9e4b7",
+   "execution_count": 9,
+   "id": "0648e36d",
    "metadata": {},
    "outputs": [],
    "source": [
-    "fourth_volume = volume_from_list(volumes[400], data_dir)"
+    "base_scan_ppi = '1_PPI.nc'\n",
+    "ppi_pattern = 'PPI.nc'\n",
+    "base_scans = []\n",
+    "volumes = []\n",
+    "ppis = []\n",
+    "in_volume = False\n",
+    "for file in all_files:\n",
+    "    if ppi_pattern in file:\n",
+    "        ppis.append(file)\n",
+    "    if base_scan_ppi in file:\n",
+    "        base_scans.append(file)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "2b738062-9791-4682-862f-7d891b03b1f5",
+   "execution_count": 10,
+   "id": "0b27b11f",
    "metadata": {},
    "outputs": [],
    "source": [
-    "figme = plt.figure(figsize=[15,10])\n",
-    "display = pyart.graph.RadarMapDisplay(fourth_volume)\n",
-    "    \n",
-    "# Add our reflectivity (DBZ) field to the plot, including our gatefilter\n",
-    "display.plot_ppi_map('DBZ', 0, vmin=-20, vmax=40.)\n"
+    "n_tilts = 8"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "92d76feb-83f7-4be7-acc5-b307d62f4b85",
+   "execution_count": 11,
+   "id": "36f4ac94",
    "metadata": {},
    "outputs": [],
    "source": [
-    "figme = plt.figure(figsize=[15,10])\n",
-    "display = pyart.graph.RadarMapDisplay(fourth_volume)\n",
-    "    \n",
-    "# Add our reflectivity (DBZ) field to the plot, including our gatefilter\n",
-    "display.plot_ppi_map('DBZ', 7, vmin=-20, vmax=40.)\n"
+    "volumes = []\n",
+    "for base in base_scans:\n",
+    "    base_scan_index = np.where(np.array(ppis) == base)[0][0]\n",
+    "    #print(base_scan_index)\n",
+    "    volume = ppis[base_scan_index: base_scan_index+n_tilts]\n",
+    "    volumes.append(volume)"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "25973669-21f3-480b-bdd5-34c0549daf96",
+   "cell_type": "markdown",
+   "id": "3b34df49",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "for vvl in volumes[0:1]:\n",
-    "    if len(vvl) == n_tilts:\n",
-    "        out_radar = volume_from_list(vvl, data_dir)\n",
-    "        print(out_radar.time['units'][14:])\n",
-    "        ff = time.strptime(out_radar.time['units'][14:], '%Y-%m-%dT%H:%M:%SZ')\n",
-    "        dt = datetime.datetime.fromtimestamp(time.mktime(ff)) + datetime.timedelta(seconds= int(out_radar.time['data'][0]))\n",
-    "        strform = dt.strftime('/eagle/projects/CPOL/SAIL/202111_glued/xprecipradar_guc_volume_%Y%m%d-%H%M%S.b1.nc')\n",
-    "        print(strform)\n",
-    "        #FIX for join issue.. to be fixed in Py-ART\n",
-    "        out_radar.sweep_mode['data']=np.tile(radars[0].sweep_mode['data'], n_tilts)\n",
-    "        pyart.io.write_cfradial(strform, out_radar)\n",
-    "        "
+    "## Try Single Volume to Verify Process"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "d457e2dd-8869-4566-8b34-24c161f32ca9",
+   "execution_count": 12,
+   "id": "b6e36298",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['gucxprecipradarS2.00.20220301.004845.raw.csu.sail-20220301-004845_278032_22_1_PPI.nc',\n",
+       " 'gucxprecipradarS2.00.20220301.004916.raw.csu.sail-20220301-004916_278034_22_2_PPI.nc',\n",
+       " 'gucxprecipradarS2.00.20220301.004949.raw.csu.sail-20220301-004949_278035_22_4_PPI.nc',\n",
+       " 'gucxprecipradarS2.00.20220301.005020.raw.csu.sail-20220301-005020_278036_22_6_PPI.nc',\n",
+       " 'gucxprecipradarS2.00.20220301.005053.raw.csu.sail-20220301-005053_278037_22_8_PPI.nc',\n",
+       " 'gucxprecipradarS2.00.20220301.005124.raw.csu.sail-20220301-005124_278038_22_10_PPI.nc',\n",
+       " 'gucxprecipradarS2.00.20220301.005156.raw.csu.sail-20220301-005156_278039_22_12_PPI.nc',\n",
+       " 'gucxprecipradarS2.00.20220301.005229.raw.csu.sail-20220301-005229_278040_22_15_PPI.nc']"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "acompletelynewradar = pyart.io.read('/eagle/projects/CPOL/SAIL/202111_glued/xprecipradar_guc_volume_20211110-000110.b1.nc')"
+    "volumes[0]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "09e46d5c-f226-45f2-95ae-6cfee57908d1",
+   "execution_count": 13,
+   "id": "f6ad63e3",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "SUCCESS /gpfs/wolf/atm124/proj-shared/gucxprecipradarS2.00/glue_files/202203_glued/xprecipradar_guc_volume_20220301-004845.b1.nc\n",
+      "CPU times: user 14.4 s, sys: 1.66 s, total: 16 s\n",
+      "Wall time: 17.1 s\n"
+     ]
+    }
+   ],
    "source": [
-    "figme = plt.figure(figsize=[15,10])\n",
-    "display = pyart.graph.RadarMapDisplay(acompletelynewradar)\n",
-    "    \n",
-    "# Add our reflectivity (DBZ) field to the plot, including our gatefilter\n",
-    "display.plot_ppi_map('DBZ', 7, vmin=-20, vmax=40.)\n"
+    "%%time\n",
+    "granule(volumes[0])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "dfdcd3ae-750f-49f3-bcf3-b03097b65f4f",
+   "execution_count": 17,
+   "id": "9d7f8f24-a349-4693-9a5d-bda88eef18c8",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def granule(Dvolume):\n",
-    "    data_dir = '/eagle/projects/CPOL/SAIL/202111/'\n",
-    "    if len(Dvolume) == 8:\n",
-    "        base_rad = pyart.io.read(data_dir+Dvolume[0])\n",
-    "        out_radar = volume_from_list(Dvolume, data_dir)\n",
-    "        print(out_radar.time['units'][14:])\n",
-    "        ff = time.strptime(out_radar.time['units'][14:], '%Y-%m-%dT%H:%M:%SZ')\n",
-    "        dt = datetime.datetime.fromtimestamp(time.mktime(ff)) + datetime.timedelta(seconds= int(out_radar.time['data'][0]))\n",
-    "        strform = dt.strftime('/eagle/projects/CPOL/SAIL/202111_glued/xprecipradar_guc_volume_%Y%m%d-%H%M%S.b1.nc')\n",
-    "        print(strform)\n",
-    "        #FIX for join issue.. to be fixed in Py-ART\n",
-    "        out_radar.sweep_mode['data']=np.tile(base_rad.sweep_mode['data'], n_tilts)\n",
-    "        pyart.io.write_cfradial(strform, out_radar)"
+    "# smaller subset just for testing; for full month map volumes to granule\n",
+    "subset = volumes[0:16]"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c9edef51-12e1-4b43-9245-ce7b24767a71",
+   "cell_type": "markdown",
+   "id": "45dd0c3a",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "granule(volumes[0])"
+    "## Start a Dask Cluster"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "3c30bfa8-c79b-4b52-a56c-985a9fc32461",
+   "execution_count": 15,
+   "id": "8d9383af",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
+       "    <div style=\"margin-left: 48px;\">\n",
+       "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
+       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-6b38fc35-d1cd-11ee-aa6b-b8cb29b120a2</p>\n",
+       "        <table style=\"width: 100%; text-align: left;\">\n",
+       "\n",
+       "        <tr>\n",
+       "        \n",
+       "            <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
+       "            <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
+       "        \n",
+       "        </tr>\n",
+       "\n",
+       "        \n",
+       "            <tr>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
+       "                </td>\n",
+       "                <td style=\"text-align: left;\"></td>\n",
+       "            </tr>\n",
+       "        \n",
+       "\n",
+       "        </table>\n",
+       "\n",
+       "        \n",
+       "            <button style=\"margin-bottom: 12px;\" data-commandlinker-command=\"dask:populate-and-launch-layout\" data-commandlinker-args='{\"url\": \"http://127.0.0.1:8787/status\" }'>\n",
+       "                Launch dashboard in JupyterLab\n",
+       "            </button>\n",
+       "        \n",
+       "\n",
+       "        \n",
+       "            <details>\n",
+       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
+       "            <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
+       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
+       "    </div>\n",
+       "    <div style=\"margin-left: 48px;\">\n",
+       "        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
+       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">d5f460ae</p>\n",
+       "        <table style=\"width: 100%; text-align: left;\">\n",
+       "            <tr>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
+       "                </td>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Workers:</strong> 1\n",
+       "                </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Total threads:</strong> 1\n",
+       "                </td>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Total memory:</strong> 251.48 GiB\n",
+       "                </td>\n",
+       "            </tr>\n",
+       "            \n",
+       "            <tr>\n",
+       "    <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
+       "    <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
+       "</tr>\n",
+       "\n",
+       "            \n",
+       "        </table>\n",
+       "\n",
+       "        <details>\n",
+       "            <summary style=\"margin-bottom: 20px;\">\n",
+       "                <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
+       "            </summary>\n",
+       "\n",
+       "            <div style=\"\">\n",
+       "    <div>\n",
+       "        <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
+       "        <div style=\"margin-left: 48px;\">\n",
+       "            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
+       "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-8ee07010-a59b-4d9e-9820-fab289c28b05</p>\n",
+       "            <table style=\"width: 100%; text-align: left;\">\n",
+       "                <tr>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Comm:</strong> tcp://127.0.0.1:34455\n",
+       "                    </td>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Workers:</strong> 1\n",
+       "                    </td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
+       "                    </td>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Total threads:</strong> 1\n",
+       "                    </td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Started:</strong> Just now\n",
+       "                    </td>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Total memory:</strong> 251.48 GiB\n",
+       "                    </td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    <details style=\"margin-left: 48px;\">\n",
+       "        <summary style=\"margin-bottom: 20px;\">\n",
+       "            <h3 style=\"display: inline;\">Workers</h3>\n",
+       "        </summary>\n",
+       "\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:43873\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:37303/status\" target=\"_blank\">http://127.0.0.1:37303/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 251.48 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:34077\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-6_zfrvvd\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "\n",
+       "    </details>\n",
+       "</div>\n",
+       "\n",
+       "        </details>\n",
+       "    </div>\n",
+       "</div>\n",
+       "            </details>\n",
+       "        \n",
+       "\n",
+       "    </div>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "<Client: 'tcp://127.0.0.1:34455' processes=1 threads=1, memory=251.48 GiB>"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "from dask.distributed import Client, LocalCluster\n",
     "\n",
     "cluster = LocalCluster()\n",
     "\n",
-    "cluster.scale(16)  # Sets the number of workers to 10\n",
-    "cluster.adapt(minimum=8, maximum=16)\n",
     "client = Client(cluster)\n",
     "client"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2a6b9e7c-4d3f-4abb-af31-b0eebeee8e15",
+   "cell_type": "markdown",
+   "id": "9a0cee88",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "future = client.map(granule, volumes)"
+    "## Glue the Files"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "f95dd65f-2812-4f53-a550-9ea01ed59e4e",
+   "execution_count": 16,
+   "id": "17cca90d",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 3.33 s, sys: 2.07 s, total: 5.39 s\n",
+      "Wall time: 4min 33s\n"
+     ]
+    }
+   ],
    "source": [
+    "%%time\n",
+    "future = client.map(granule, subset)\n",
     "my_data = client.gather(future)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "08254fae-3631-4b21-8a83-29dc84afebac",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "client"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "fb03d974-a65d-43e2-80e7-b778843d1e6e",
+   "id": "e439c9f8-4e8d-44ac-b45e-4a550f0d2225",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -390,9 +584,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "pyart-simple",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "pyart-simple"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -404,7 +598,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.15"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,