From aaacc15deaccc2eb383f54e57454b7a45ff5c0ba Mon Sep 17 00:00:00 2001
From: danielfromearth <daniel.kaufman@nasa.gov>
Date: Thu, 7 Dec 2023 18:33:29 +0000
Subject: [PATCH 1/5] update categorization of package imports

---
 tutorials/Earthdata_Subset_and_Plot.ipynb | 164 ++++++++++++++--------
 1 file changed, 105 insertions(+), 59 deletions(-)

diff --git a/tutorials/Earthdata_Subset_and_Plot.ipynb b/tutorials/Earthdata_Subset_and_Plot.ipynb
index 399ab64..034c75e 100644
--- a/tutorials/Earthdata_Subset_and_Plot.ipynb
+++ b/tutorials/Earthdata_Subset_and_Plot.ipynb
@@ -625,28 +625,27 @@
     "warnings.filterwarnings('ignore')\n",
     "from pprint import pprint\n",
     "\n",
-    "# Direct access\n",
+    "# Example 1 imports\n",
     "import earthaccess\n",
-    "from pathlib import Path\n",
     "import xarray as xr\n",
     "xr.set_options(display_expand_attrs=False)\n",
+    "import matplotlib.pyplot as plt\n",
+    "import cartopy.crs as ccrs\n",
+    "import cartopy.feature as cfeature\n",
     "\n",
-    "# Harmony\n",
-    "from harmony import BBox, Client, Collection, Request, LinkType, CapabilitiesRequest\n",
+    "# Example 2 imports (Example 1 imports plus these...)\n",
     "import datetime as dt\n",
     "import json\n",
-    "import numpy as np\n",
-    "\n",
-    "# Plotting\n",
+    "from cartopy.mpl.ticker import LatitudeFormatter, LongitudeFormatter\n",
     "import geopandas as gpd\n",
     "import geoviews as gv\n",
-    "from geoviews import opts\n",
     "gv.extension('bokeh', 'matplotlib', logo=False)\n",
-    "import cartopy.crs as ccrs\n",
-    "import cartopy.feature as cfeature\n",
-    "from cartopy.mpl.ticker import LatitudeFormatter, LongitudeFormatter\n",
-    "import matplotlib.pyplot as plt\n",
+    "from harmony import Client, Collection, Request, CapabilitiesRequest\n",
+    "\n",
+    "# Appendix 1 imports\n",
+    "from pathlib import Path\n",
     "import rioxarray as rxr\n",
+    "\n",
     "%matplotlib inline"
    ]
   },
@@ -674,7 +673,7 @@
      "text": [
       "EARTHDATA_USERNAME and EARTHDATA_PASSWORD are not set in the current environment, try setting them or use a different strategy (netrc, interactive)\n",
       "You're now authenticated with NASA Earthdata Login\n",
-      "Using token with expiration date: 11/25/2023\n",
+      "Using token with expiration date: 01/26/2024\n",
       "Using .netrc file for EDL\n"
      ]
     }
@@ -964,7 +963,7 @@
    "id": "23fc1e31-656b-4a02-a80f-b6ea11712068",
    "metadata": {},
    "source": [
-    "We start with a subset that represents the U.S. state of California.  Notice the dimensions of the Dataset and each variable."
+    "We start with a subset that represents the U.S. state of California.  Notice the dimensions of the Dataset and each variable — time, lon, lat, and 'nv' (number of vertices) for the bounds variable."
    ]
   },
   {
@@ -3383,7 +3382,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 3,
    "id": "583e324b-88c9-4726-af33-ff07367dcf28",
    "metadata": {
     "tags": []
@@ -3405,7 +3404,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 4,
    "id": "db162b89-de86-4bb0-b620-4257d9af6b92",
    "metadata": {
     "tags": []
@@ -3413,7 +3412,6 @@
    "outputs": [],
    "source": [
     "collection_id = \"C1576365803-LARC_ASDC\"  # EPIC-view satellite composites for DSCOVR, Version 1\n",
-    "# collection_id = \"C1996881146-POCLOUD\"\n",
     "\n",
     "capabilities_request = CapabilitiesRequest(collection_id=collection_id)\n",
     "\n",
@@ -3431,7 +3429,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 5,
    "id": "4b59af1b-7338-40f9-8965-80339436f6a1",
    "metadata": {
     "tags": []
@@ -3466,7 +3464,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 6,
    "id": "3fbe4b39-df2c-4189-9eb9-aadeb1b492c0",
    "metadata": {
     "tags": []
@@ -3599,7 +3597,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 7,
    "id": "90865d24-6bbc-46ff-97a4-05f7d8fb4f3b",
    "metadata": {
     "tags": []
@@ -3648,7 +3646,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 8,
    "id": "33249e74-603d-4030-a2df-1b19df50fce1",
    "metadata": {
     "tags": []
@@ -3662,7 +3660,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 9,
    "id": "58c13872-3ca2-436e-ae53-3c22ce07e60c",
    "metadata": {
     "tags": []
@@ -3678,11 +3676,11 @@
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+       "  <div id=\"a458083f-c507-42c6-8174-397a659b0c9f\" data-root-id=\"p1005\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
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Geographics\"}}}},{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1077\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1068\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1069\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1070\"},\"data\":{\"type\":\"map\",\"entries\":[[\"xs\",[[[{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"VekGN+YCasGlftWuOxVpwcPOWVgrF2nB3c2qYHlMasE=\"},\"shape\":[4],\"dtype\":\"float64\",\"order\":\"little\"}]]]],[\"ys\",[[[{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"3etJQ7MGUUGscwPFywNRQTiDK4eg+1FBhkv2rncAUkE=\"},\"shape\":[4],\"dtype\":\"float64\",\"order\":\"little\"}]]]]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1078\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1079\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"MultiPolygons\",\"id\":\"p1074\",\"attributes\":{\"xs\":{\"type\":\"field\",\"field\":\"xs\"},\"ys\":{\"type\":\"field\",\"field\":\"ys\"},\"line_color\":{\"type\":\"value\",\"value\":\"yellow\"},\"line_width\":{\"type\":\"value\",\"value\":5},\"fill_color\":{\"type\":\"value\",\"value\":null},\"hatch_color\":{\"type\":\"value\",\"value\":null}}},\"selection_glyph\":{\"type\":\"object\",\"name\":\"MultiPolygons\",\"id\":\"p1080\",\"attributes\":{\"xs\":{\"type\":\"field\",\"field\":\"xs\"},\"ys\":{\"type\":\"field\",\"field\":\"ys\"},\"line_color\":{\"type\":\"value\",\"value\":\"yellow\"},\"line_alpha\":{\"type\":\"value\",\"value\":1.0},\"line_width\":{\"type\":\"value\",\"value\":5},\"line_join\":{\"type\":\"value\",\"value\":\"bevel\"},\"line_cap\":{\"type\":\"value\",\"value\":\"butt\"},\"line_dash\":{\"type\":\"value\",\"value\":[]},\"line_dash_offset\":{\"type\":\"value\",\"value\":0},\"fill_color\":{\"type\":\"value\",\"value\":null},\"fill_alpha\":{\"type\":\"value\",\"value\":1.0},\"hatch_color\":{\"type\":\"value\",\"value\":null},\"hatch_alpha\":{\"type\":\"value\",\"value\":1.0},\"hatch_scale\":{\"type\":\"value\",\"value\":12.0},\"hatch_pattern\":{\"type\":\"value\",\"value\":null},\"hatch_weight\":{\"type\":\"value\",\"value\":1.0}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"MultiPolygons\",\"id\":\"p1075\",\"attributes\":{\"xs\":{\"type\":\"field\",\"field\":\"xs\"},\"ys\":{\"type\":\"field\",\"field\":\"ys\"},\"line_color\":{\"type\":\"value\",\"value\":\"yellow\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"line_width\":{\"type\":\"value\",\"value\":5},\"fill_color\":{\"type\":\"value\",\"value\":null},\"fill_alpha\":{\"type\":\"value\",\"value\":0.1},\"hatch_color\":{\"type\":\"value\",\"value\":null},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.1}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"MultiPolygons\",\"id\":\"p1076\",\"attributes\":{\"xs\":{\"type\":\"field\",\"field\":\"xs\"},\"ys\":{\"type\":\"field\",\"field\":\"ys\"},\"line_color\":{\"type\":\"value\",\"value\":\"yellow\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"line_width\":{\"type\":\"value\",\"value\":5},\"fill_color\":{\"type\":\"value\",\"value\":null},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_color\":{\"type\":\"value\",\"value\":null},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}},{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1090\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1081\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1082\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1083\"},\"data\":{\"type\":\"map\",\"entries\":[[\"x\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"S2EDgir+acE=\"},\"shape\":[1],\"dtype\":\"float64\",\"order\":\"little\"}],[\"y\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"shs0UmpYUUE=\"},\"shape\":[1],\"dtype\":\"float64\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1091\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1092\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p1087\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"size\":{\"type\":\"value\",\"value\":20},\"angle\":{\"type\":\"value\",\"value\":0.7853981633974483},\"line_color\":{\"type\":\"value\",\"value\":\"red\"},\"fill_color\":{\"type\":\"value\",\"value\":\"red\"},\"hatch_color\":{\"type\":\"value\",\"value\":\"red\"},\"marker\":{\"type\":\"value\",\"value\":\"cross\"}}},\"selection_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p1093\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"size\":{\"type\":\"value\",\"value\":20},\"angle\":{\"type\":\"value\",\"value\":0.7853981633974483},\"line_color\":{\"type\":\"value\",\"value\":\"red\"},\"line_alpha\":{\"type\":\"value\",\"value\":1.0},\"line_width\":{\"type\":\"value\",\"value\":1},\"line_join\":{\"type\":\"value\",\"value\":\"bevel\"},\"line_cap\":{\"type\":\"value\",\"value\":\"butt\"},\"line_dash\":{\"type\":\"value\",\"value\":[]},\"line_dash_offset\":{\"type\":\"value\",\"value\":0},\"fill_color\":{\"type\":\"value\",\"value\":\"red\"},\"fill_alpha\":{\"type\":\"value\",\"value\":1.0},\"hatch_color\":{\"type\":\"value\",\"value\":\"red\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":1.0},\"hatch_scale\":{\"type\":\"value\",\"value\":12.0},\"hatch_pattern\":{\"type\":\"value\",\"value\":null},\"hatch_weight\":{\"type\":\"value\",\"value\":1.0},\"marker\":{\"type\":\"value\",\"value\":\"cross\"}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p1088\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"size\":{\"type\":\"value\",\"value\":20},\"angle\":{\"type\":\"value\",\"value\":0.7853981633974483},\"line_color\":{\"type\":\"value\",\"value\":\"red\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"fill_color\":{\"type\":\"value\",\"value\":\"red\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.1},\"hatch_color\":{\"type\":\"value\",\"value\":\"red\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.1},\"marker\":{\"type\":\"value\",\"value\":\"cross\"}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p1089\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"size\":{\"type\":\"value\",\"value\":20},\"angle\":{\"type\":\"value\",\"value\":0.7853981633974483},\"line_color\":{\"type\":\"value\",\"value\":\"red\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"fill_color\":{\"type\":\"value\",\"value\":\"red\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_color\":{\"type\":\"value\",\"value\":\"red\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2},\"marker\":{\"type\":\"value\",\"value\":\"cross\"}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1042\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1024\",\"attributes\":{\"zoom_on_axis\":false}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1025\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1004\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"bottom_units\":\"canvas\",\"top_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}},\"match_aspect\":true}},{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1056\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1057\"}],\"active_drag\":{\"id\":\"p1056\"}}},\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1050\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"MercatorTicker\",\"id\":\"p1060\",\"attributes\":{\"mantissas\":[1,2,5],\"dimension\":\"lat\"}},\"formatter\":{\"type\":\"object\",\"name\":\"MercatorTickFormatter\",\"id\":\"p1061\",\"attributes\":{\"dimension\":\"lat\"}},\"axis_label\":\"Latitude\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1053\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1045\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"MercatorTicker\",\"id\":\"p1058\",\"attributes\":{\"mantissas\":[1,2,5],\"dimension\":\"lon\"}},\"formatter\":{\"type\":\"object\",\"name\":\"MercatorTickFormatter\",\"id\":\"p1059\",\"attributes\":{\"dimension\":\"lon\"}},\"axis_label\":\"Longitude\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1048\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1049\",\"attributes\":{\"axis\":{\"id\":\"p1045\"},\"grid_line_color\":null}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1054\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1050\"},\"grid_line_color\":null}}],\"min_border_top\":10,\"min_border_bottom\":10,\"min_border_left\":10,\"min_border_right\":10,\"output_backend\":\"webgl\"}},{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1095\",\"attributes\":{\"name\":\"HSpacer02825\",\"stylesheets\":[\"\\n:host(.pn-loading.pn-arc):before, .pn-loading.pn-arc:before {\\n  background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n  background-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1008\"},{\"id\":\"p1006\"},{\"id\":\"p1007\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]}]}};\n",
+       "  var render_items = [{\"docid\":\"a2650d51-9de1-4c34-ae78-d76ef089dcdf\",\"roots\":{\"p1005\":\"a458083f-c507-42c6-8174-397a659b0c9f\"},\"root_ids\":[\"p1005\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
@@ -3751,7 +3749,7 @@
        "   .Points.I   :Points   [x,y]   (City)"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 9,
      "metadata": {
       "application/vnd.holoviews_exec.v0+json": {
        "id": "p1005"
@@ -3783,7 +3781,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 10,
    "id": "f02d190d-81f3-4fd2-b92e-5345769b85ca",
    "metadata": {
     "tags": []
@@ -3800,12 +3798,13 @@
     "        'stop': dt.datetime(2016, 2, 24, 23)   \n",
     "    },\n",
     "    variables=[\"general/relative_time\", \"general/precipitable_water\", \"clear_sky/skin_temperature\"]\n",
-    ")"
+    ")\n",
+    "request.is_valid()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 11,
    "id": "2ca89302-42f0-4017-ba0f-a6e348b8dc1d",
    "metadata": {
     "tags": []
@@ -3814,10 +3813,10 @@
     {
      "data": {
       "text/plain": [
-       "'2b4cad39-9c5c-49ab-9692-cebade8d3964'"
+       "'87eef6e2-c28d-4fe6-995e-a9d496eb287b'"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3829,7 +3828,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 12,
    "id": "044b95c6-4312-4d99-acfc-6eea0e28056d",
    "metadata": {
     "tags": []
@@ -3841,17 +3840,17 @@
        "{'status': 'running',\n",
        " 'message': 'The job is being processed',\n",
        " 'progress': 0,\n",
-       " 'created_at': datetime.datetime(2023, 11, 21, 18, 49, 19, 904000, tzinfo=tzlocal()),\n",
-       " 'updated_at': datetime.datetime(2023, 11, 21, 18, 49, 19, 904000, tzinfo=tzlocal()),\n",
-       " 'created_at_local': '2023-11-21T18:49:19+00:00',\n",
-       " 'updated_at_local': '2023-11-21T18:49:19+00:00',\n",
+       " 'created_at': datetime.datetime(2023, 12, 4, 15, 42, 10, 4000, tzinfo=tzlocal()),\n",
+       " 'updated_at': datetime.datetime(2023, 12, 4, 15, 42, 10, 4000, tzinfo=tzlocal()),\n",
+       " 'created_at_local': '2023-12-04T15:42:10+00:00',\n",
+       " 'updated_at_local': '2023-12-04T15:42:10+00:00',\n",
        " 'request': 'https://harmony.earthdata.nasa.gov/C1576365803-LARC_ASDC/ogc-api-coverages/1.0.0/collections/general%2Frelative_time,general%2Fprecipitable_water,clear_sky%2Fskin_temperature/coverage/rangeset?forceAsync=true&subset=time(%222016-02-24T12%3A00%3A00%22%3A%222016-02-24T23%3A00%3A00%22)',\n",
        " 'num_input_granules': 4,\n",
-       " 'data_expiration': datetime.datetime(2023, 12, 21, 18, 49, 19, 904000, tzinfo=tzlocal()),\n",
-       " 'data_expiration_local': '2023-12-21T18:49:19+00:00'}"
+       " 'data_expiration': datetime.datetime(2024, 1, 3, 15, 42, 10, 4000, tzinfo=tzlocal()),\n",
+       " 'data_expiration_local': '2024-01-03T15:42:10+00:00'}"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3862,7 +3861,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 13,
    "id": "2abe3ac3-5172-4218-ba44-0b063abdbac1",
    "metadata": {},
    "outputs": [
@@ -3878,33 +3877,80 @@
     "harmony_client.wait_for_processing(job_id, show_progress=True)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "da982b31-5fad-4202-8b86-09d98e83859b",
+   "metadata": {},
+   "source": [
+    "While this processes, we can discuss the harmony job in some more detail. (Futher information and examples can be found in the `harmony-py` repository, such as [this introductory notebook](https://github.com/nasa/harmony-py/blob/main/examples/intro_tutorial.ipynb).\n",
+    "\n",
+    "#### Request Parameters\n",
+    "\n",
+    "In addition to the above request parameters, other advanced parameters may be of interest. Note that many reformatting or advanced projection options may not be available for your requested dataset. See the documentation for details on how to construct these parameters.\n",
+    "\n",
+    "- `crs`: Reproject the output coverage to the given CRS. Recognizes CRS types that can be inferred by gdal, including EPSG codes, Proj4 strings, and OGC URLs (http://www.opengis.net/def/crs/%E2%80%A6)\n",
+    "- `interpolation`: specify the interpolation method used during reprojection and scaling\n",
+    "- `scale_extent`: scale the resulting coverage either among one axis to a given extent\n",
+    "- `scale_size`: scale the resulting coverage either among one axis to a given size\n",
+    "- `granule_id`: The CMR Granule ID for the granule (file) which should be retrieved\n",
+    "- `width`: number of columns to return in the output coverage\n",
+    "- `height`: number of rows to return in the output coverage\n",
+    "- `format`: the output mime type to return\n",
+    "- `max_results`: limits the number of input files processed in the request\n",
+    "\n",
+    "#### Harmony Client\n",
+    "\n",
+    "There are four options for providing your Earthdata Login token or username and password when creating a Harmony Client:\n",
+    "\n",
+    "1. Provide EDL token using environment variable, e.g.:\n",
+    "\n",
+    "> `$ export EDL_TOKEN='my_eld_token'`\n",
+    "\n",
+    "2. Provide your username and password directly when creating the client:\n",
+    "\n",
+    "> `harmony_client = Client(auth=('captainmarvel', 'marve10u5'))`\n",
+    "\n",
+    "3. Set your credentials using environment variables:\n",
+    "\n",
+    "You can either export these directly:\n",
+    "\n",
+    "> `$ export EDL_USERNAME='captainmarvel'`\n",
+    "\n",
+    "> `$ export EDL_PASSWORD='marve10u5'`\n",
+    "\n",
+    "Or by storing them in a .env file, which operates in a similar fashion to .netrc. You will need to store the file in your current working directory and it must be named .env with the following format:\n",
+    "\n",
+    "> `EDL_USERNAME=myusername`\n",
+    "\n",
+    "> `EDL_PASSWORD=mypass`\n",
+    "\n",
+    "4. Use a .netrc file:\n",
+    "\n",
+    "> ```\n",
+    "machine urs.earthdata.nasa.gov\n",
+    "login captainmarvel\n",
+    "password marve10u5\n",
+    "```"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 1,
    "id": "dcdf99d8-74c1-49cf-b65d-38ea1ef0e5e4",
    "metadata": {
     "tags": []
    },
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "{'status': 'successful',\n",
-       " 'message': 'The job has completed successfully',\n",
-       " 'progress': 100,\n",
-       " 'created_at': datetime.datetime(2023, 11, 21, 18, 49, 19, 904000, tzinfo=tzlocal()),\n",
-       " 'updated_at': datetime.datetime(2023, 11, 21, 18, 55, 52, 521000, tzinfo=tzlocal()),\n",
-       " 'created_at_local': '2023-11-21T18:49:19+00:00',\n",
-       " 'updated_at_local': '2023-11-21T18:55:52+00:00',\n",
-       " 'request': 'https://harmony.earthdata.nasa.gov/C1576365803-LARC_ASDC/ogc-api-coverages/1.0.0/collections/general%2Frelative_time,general%2Fprecipitable_water,clear_sky%2Fskin_temperature/coverage/rangeset?forceAsync=true&subset=time(%222016-02-24T12%3A00%3A00%22%3A%222016-02-24T23%3A00%3A00%22)',\n",
-       " 'num_input_granules': 4,\n",
-       " 'data_expiration': datetime.datetime(2023, 12, 21, 18, 49, 19, 904000, tzinfo=tzlocal()),\n",
-       " 'data_expiration_local': '2023-12-21T18:49:19+00:00'}"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "NameError",
+     "evalue": "name 'harmony_client' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mharmony_client\u001b[49m\u001b[38;5;241m.\u001b[39mstatus(job_id)\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'harmony_client' is not defined"
+     ]
     }
    ],
    "source": [

From ada3232e007d31a1c2896c0378ac52acf0be0d7a Mon Sep 17 00:00:00 2001
From: danielfromearth <daniel.kaufman@nasa.gov>
Date: Thu, 7 Dec 2023 18:46:13 +0000
Subject: [PATCH 2/5] add explanation to slice object and bounding box

---
 tutorials/Earthdata_Subset_and_Plot.ipynb | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/tutorials/Earthdata_Subset_and_Plot.ipynb b/tutorials/Earthdata_Subset_and_Plot.ipynb
index 034c75e..3769ee0 100644
--- a/tutorials/Earthdata_Subset_and_Plot.ipynb
+++ b/tutorials/Earthdata_Subset_and_Plot.ipynb
@@ -776,7 +776,7 @@
     "date_start = \"2023-02-24\"\n",
     "date_end = \"2023-02-26\"\n",
     "date_range = (date_start, date_end)\n",
-    "bbox = (-127.0761, 31.6444, -113.9039, 42.6310)\n",
+    "bbox = (-127.0761, 31.6444, -113.9039, 42.6310)  # min lon, min lat, max lon, max lat\n",
     "\n",
     "# For reference (e.g., to visualize in https://geojson.io/), here is a GeoJSON representing the above bounding box:\n",
     "# {\"type\": \"FeatureCollection\", \"features\": [{\"type\": \"Feature\", \"properties\": {}, \"geometry\": {\"type\": \"LineString\", \"bbox\": [-127.0761, 31.6444, -113.9039, 42.631], \"coordinates\": [[-113.9039, 42.631], [-127.0761,42.631], [-127.0761, 31.6444], [-113.9039, 31.6444], [-113.9039, 42.631]]}}]}\n",
@@ -2208,6 +2208,14 @@
     "ds"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "8641b5ae-043e-4233-bdfe-dada8370dfd5",
+   "metadata": {},
+   "source": [
+    "Now we will prepare a subset. As opposed to the `earthaccess` inputs above, here we must provide inputs in the formats expected by `xarray`. Instead of a single, four-element, bounding box, we use Python `slice` objects, which are defined by starting and ending numbers."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 10,

From 06815692013f53a0427c7968db1736270a540c46 Mon Sep 17 00:00:00 2001
From: danielfromearth <daniel.kaufman@nasa.gov>
Date: Thu, 7 Dec 2023 19:01:17 +0000
Subject: [PATCH 3/5] Add explanation about GeoViews

---
 tutorials/Earthdata_Subset_and_Plot.ipynb | 44 +++++++++++++++++++++--
 1 file changed, 42 insertions(+), 2 deletions(-)

diff --git a/tutorials/Earthdata_Subset_and_Plot.ipynb b/tutorials/Earthdata_Subset_and_Plot.ipynb
index 3769ee0..508c766 100644
--- a/tutorials/Earthdata_Subset_and_Plot.ipynb
+++ b/tutorials/Earthdata_Subset_and_Plot.ipynb
@@ -791,6 +791,14 @@
     "ds = xr.open_mfdataset(earthaccess.open(results))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "7de0326f-8c8e-4ae1-b8b2-ae0a73f594cb",
+   "metadata": {},
+   "source": [
+    "Note that `xarray` works with \"lazy\" computation whenever possible. In this case, the metadata are loaded into JupyterHub memory, but the data arrays and their values are not — until there is a need for them."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "f72eb32d-8421-4f54-a2bd-7b8bc3dc531a",
@@ -2213,7 +2221,7 @@
    "id": "8641b5ae-043e-4233-bdfe-dada8370dfd5",
    "metadata": {},
    "source": [
-    "Now we will prepare a subset. As opposed to the `earthaccess` inputs above, here we must provide inputs in the formats expected by `xarray`. Instead of a single, four-element, bounding box, we use Python `slice` objects, which are defined by starting and ending numbers."
+    "Now we will prepare a subset. We're using essentially the same spatial bounds as above; however, as opposed to the `earthaccess` inputs above, here we must provide inputs in the formats expected by `xarray`. Instead of a single, four-element, bounding box, we use Python `slice` objects, which are defined by starting and ending numbers."
    ]
   },
   {
@@ -3233,11 +3241,18 @@
     }
    ],
    "source": [
-    "# Prepare a subset and display the new dataset's metadata\n",
     "ds_subset = ds.sel(time='2023-02-24', lat=slice(31, 43), lon=slice(-125, -113)) \n",
     "ds_subset"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "af9214c2-ef33-4d27-acca-511380b565db",
+   "metadata": {},
+   "source": [
+    "Notice the differences?"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "210377ad-4dd0-401d-aad8-0d1760941daf",
@@ -3345,6 +3360,14 @@
     "plt.show()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "5ff73775-de33-4033-af1d-1c999e5f5faa",
+   "metadata": {},
+   "source": [
+    "Notice the enhancements?"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "49fc0a27-2fbe-4cca-a3d1-095fa6a2b60c",
@@ -3634,6 +3657,14 @@
     "      )"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "4184b164-2ba1-4180-a338-263302bc29a6",
+   "metadata": {},
+   "source": [
+    "Notice the `True`s and the `False`s?"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "60f65119-5436-4701-ac48-bf64d6d163cc",
@@ -3666,6 +3697,14 @@
     "gdf = gpd.read_file(sf_geojson)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "b7e72238-dea5-400a-b09e-74a75ecf46ad",
+   "metadata": {},
+   "source": [
+    "Here we illustrate the use of GeoViews, which is another open source data visualization library, like `matplotlib`. GeoViews is designed to work well with netCDF data, as well as Geopandas dataframes.  The syntax for Geoviews is different in several ways — e.g., the dataset is often specified as the first argument and different components are combined using the `*` symbol."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 9,
@@ -3774,6 +3813,7 @@
     "# Generate an image\n",
     "base = gv.tile_sources.EsriImagery.opts(width=650, height=500)\n",
     "ocean_map = gv.Polygons(gdf).opts(line_color='yellow', line_width=5, color=None)\n",
+    "\n",
     "base * ocean_map * cities_lonlat.options(size=20, color='red', marker='x')"
    ]
   },

From 9218ef747f2f045f9e117e655a634c647c735ef8 Mon Sep 17 00:00:00 2001
From: danielfromearth <daniel.kaufman@nasa.gov>
Date: Thu, 7 Dec 2023 20:53:23 +0000
Subject: [PATCH 4/5] run to update

---
 tutorials/Earthdata_Subset_and_Plot.ipynb | 236 ++++++++++++----------
 1 file changed, 128 insertions(+), 108 deletions(-)

diff --git a/tutorials/Earthdata_Subset_and_Plot.ipynb b/tutorials/Earthdata_Subset_and_Plot.ipynb
index 508c766..7dc1be0 100644
--- a/tutorials/Earthdata_Subset_and_Plot.ipynb
+++ b/tutorials/Earthdata_Subset_and_Plot.ipynb
@@ -25,7 +25,7 @@
     "\n",
     "1. Example 1 - `earthaccess` and `xarray` for precipitation estimates from [IMERG, Daily Level 3 data](https://doi.org/10.5067/GPM/IMERGDF/DAY/07)\n",
     "2. Example 2 - `harmony-py` for direct cloud subsetting of precipitable water data from the [DSCOVR EPIC Composite](https://doi.org/10.5067/EPIC/DSCOVR/L2_COMPOSITE_01).\n",
-    "3. Appendix 1 - Snow cover data from [MODIS/Terra, Daily Level 3 data](https://doi.org/10.5067/MODIS/MOD10C1.061)\n",
+    "3. Appendix 1 - Snow cover data from [MODIS/Terra, Daily Level 3 data](https://doi.org/10.5067/MODIS/MOD10C1.061) with `rioxarray`\n",
     "4. Appendix 2 - Snow mass data from [SMAP, 3-hourly Level 4 data](https://doi.org/10.5067/EVKPQZ4AFC4D)\n",
     "    \n",
     "In the first example, we will be accessing data directly from Amazon Web Services (AWS), specifically in the us-west-2 region, which is where all cloud-hosted NASA Earthdata reside. This shared compute environment (JupyterHub) is also running in the same location. We will then load the data into Python as an `xarray` dataset.\n",
@@ -729,7 +729,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9b62a39554ab46098a59f16473f4fa9c",
+       "model_id": "fd179bfbc37043628d1382e7274a4e3b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -743,7 +743,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "57fc89da9cb948f0adb223a2f8a0162a",
+       "model_id": "0364418fcc1345d5b23f8f2eee4e716e",
        "version_major": 2,
        "version_minor": 0
       },
@@ -757,7 +757,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3b8abd169b3c4dcd8a92158d53c2a61d",
+       "model_id": "4c7161e8136d4a5ca98e622563769647",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1366,9 +1366,9 @@
        "    randomError_cnt                 (time, lon, lat) int8 dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;\n",
        "    probabilityLiquidPrecipitation  (time, lon, lat) int8 dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;\n",
        "    time_bnds                       (time, nv) datetime64[ns] dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
-       "Attributes: (9)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b907da38-653c-464c-b08d-e933b1c48a84' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b907da38-653c-464c-b08d-e933b1c48a84' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span class='xr-has-index'>lon</span>: 3600</li><li><span class='xr-has-index'>lat</span>: 1800</li><li><span>nv</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-89579d54-81d7-4b77-9113-f5ad32f49b75' class='xr-section-summary-in' type='checkbox'  checked><label for='section-89579d54-81d7-4b77-9113-f5ad32f49b75' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.9 ... 179.9 179.9</div><input id='attrs-6f1f19bd-f88a-4c31-9fcb-08e11999926a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f1f19bd-f88a-4c31-9fcb-08e11999926a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42ba4f3e-4f95-463e-bd27-1305b954058c' class='xr-var-data-in' type='checkbox'><label for='data-42ba4f3e-4f95-463e-bd27-1305b954058c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd></dl></div><div class='xr-var-data'><pre>array([-179.95, -179.85, -179.75, ...,  179.75,  179.85,  179.95],\n",
-       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.95 -89.85 ... 89.85 89.95</div><input id='attrs-e22f9d76-485c-4636-8f80-73618249fe80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e22f9d76-485c-4636-8f80-73618249fe80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8868393-e051-4118-88d2-b7a984911eeb' class='xr-var-data-in' type='checkbox'><label for='data-c8868393-e051-4118-88d2-b7a984911eeb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.95, -89.85, -89.75, ...,  89.75,  89.85,  89.95])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-02-24 2023-02-25 2023-02-26</div><input id='attrs-88b34b1b-3bef-45f5-a05e-808aceacaf43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88b34b1b-3bef-45f5-a05e-808aceacaf43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03fd9a6f-5b03-43cd-8eea-966c071d7b3a' class='xr-var-data-in' type='checkbox'><label for='data-03fd9a6f-5b03-43cd-8eea-966c071d7b3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-02-24T00:00:00.000000000&#x27;, &#x27;2023-02-25T00:00:00.000000000&#x27;,\n",
-       "       &#x27;2023-02-26T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3bcdd673-3b1f-411e-bb8a-5c63275b7130' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3bcdd673-3b1f-411e-bb8a-5c63275b7130' class='xr-section-summary' >Data variables: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>precipitation</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-ee6484bb-a814-4212-abfa-6424078b3f34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee6484bb-a814-4212-abfa-6424078b3f34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab024ec7-e111-4baa-81c6-a776c4c39a65' class='xr-var-data-in' type='checkbox'><label for='data-ab024ec7-e111-4baa-81c6-a776c4c39a65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>long_name :</span></dt><dd>Daily mean precipitation rate (combined microwave-IR) estimate. Formerly precipitationCal.</dd></dl></div><div class='xr-var-data'><table>\n",
+       "Attributes: (9)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bde2cbfe-9d81-4533-90a2-71674156223e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bde2cbfe-9d81-4533-90a2-71674156223e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span class='xr-has-index'>lon</span>: 3600</li><li><span class='xr-has-index'>lat</span>: 1800</li><li><span>nv</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-823b372e-7e08-443e-a97d-972201311a40' class='xr-section-summary-in' type='checkbox'  checked><label for='section-823b372e-7e08-443e-a97d-972201311a40' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.9 ... 179.9 179.9</div><input id='attrs-3041c229-11a1-41d7-afe3-8d9b44e6b2d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3041c229-11a1-41d7-afe3-8d9b44e6b2d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2783a4ac-f758-436b-8258-1978dde127e1' class='xr-var-data-in' type='checkbox'><label for='data-2783a4ac-f758-436b-8258-1978dde127e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd></dl></div><div class='xr-var-data'><pre>array([-179.95, -179.85, -179.75, ...,  179.75,  179.85,  179.95],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.95 -89.85 ... 89.85 89.95</div><input id='attrs-cebc484c-9f3c-44ee-99f1-67a2ffc82865' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cebc484c-9f3c-44ee-99f1-67a2ffc82865' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28b49a39-1549-4d35-8fd4-da7a1c3675cd' class='xr-var-data-in' type='checkbox'><label for='data-28b49a39-1549-4d35-8fd4-da7a1c3675cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.95, -89.85, -89.75, ...,  89.75,  89.85,  89.95])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-02-24 2023-02-25 2023-02-26</div><input id='attrs-8286a615-d0b6-434d-9b73-5ae50ab5328a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8286a615-d0b6-434d-9b73-5ae50ab5328a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17070f18-9627-4e6f-b907-f3837246a5e6' class='xr-var-data-in' type='checkbox'><label for='data-17070f18-9627-4e6f-b907-f3837246a5e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-02-24T00:00:00.000000000&#x27;, &#x27;2023-02-25T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2023-02-26T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6b555928-764f-4361-8e52-acdb28611c94' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6b555928-764f-4361-8e52-acdb28611c94' class='xr-section-summary' >Data variables: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>precipitation</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-4f019b07-e0ad-4f61-8e43-c58d5f84af78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f019b07-e0ad-4f61-8e43-c58d5f84af78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0170644-fd83-46a8-b7b9-b4cd00d0a71b' class='xr-var-data-in' type='checkbox'><label for='data-e0170644-fd83-46a8-b7b9-b4cd00d0a71b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>long_name :</span></dt><dd>Daily mean precipitation rate (combined microwave-IR) estimate. Formerly precipitationCal.</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1450,7 +1450,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitation_cnt</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-bf5317c8-afd1-4e21-a1d0-20c9377e50f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf5317c8-afd1-4e21-a1d0-20c9377e50f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c08eb95-ed63-45dc-83b4-ea053bc57967' class='xr-var-data-in' type='checkbox'><label for='data-0c08eb95-ed63-45dc-83b4-ea053bc57967' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of all valid half-hourly precipitation retrievals for the day</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitation_cnt</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-e7662121-a566-4938-a3e2-f9af8772ae25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7662121-a566-4938-a3e2-f9af8772ae25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-182c0044-154c-4a9c-90e9-5d3dcaaab14b' class='xr-var-data-in' type='checkbox'><label for='data-182c0044-154c-4a9c-90e9-5d3dcaaab14b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of all valid half-hourly precipitation retrievals for the day</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1532,7 +1532,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitation_cnt_cond</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-e88de59a-b7da-4571-b0e2-3865d057e127' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e88de59a-b7da-4571-b0e2-3865d057e127' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4710c2a0-62b0-4f01-a562-205cfaa923dc' class='xr-var-data-in' type='checkbox'><label for='data-4710c2a0-62b0-4f01-a562-205cfaa923dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of half-hourly precipitation retrievals for the day where precipitation is at least 0.01 mm/hr</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitation_cnt_cond</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-583d7977-2f7a-48f3-9b55-24b9c75c514b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-583d7977-2f7a-48f3-9b55-24b9c75c514b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-386530c1-5c62-4208-94b0-1f1cd058cde1' class='xr-var-data-in' type='checkbox'><label for='data-386530c1-5c62-4208-94b0-1f1cd058cde1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of half-hourly precipitation retrievals for the day where precipitation is at least 0.01 mm/hr</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1614,7 +1614,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MWprecipitation</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-25772667-7104-4db9-b685-ab70eddf7702' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25772667-7104-4db9-b685-ab70eddf7702' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c6c1841-0f72-4763-a64f-1a236a2684b5' class='xr-var-data-in' type='checkbox'><label for='data-3c6c1841-0f72-4763-a64f-1a236a2684b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>long_name :</span></dt><dd>Daily mean High Quality precipitation rate from all available microwave sources. Formerly HQprecipitation.</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MWprecipitation</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-ce2df96a-7228-4f16-b706-923ddd6a9878' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce2df96a-7228-4f16-b706-923ddd6a9878' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53d66a48-7acf-408f-afdd-1271570ec3d2' class='xr-var-data-in' type='checkbox'><label for='data-53d66a48-7acf-408f-afdd-1271570ec3d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>long_name :</span></dt><dd>Daily mean High Quality precipitation rate from all available microwave sources. Formerly HQprecipitation.</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1696,7 +1696,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MWprecipitation_cnt</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-f07f1390-b781-4ba5-b057-c7a8ffd54c5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f07f1390-b781-4ba5-b057-c7a8ffd54c5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f72111d-099e-48fb-a287-cb8fbb229598' class='xr-var-data-in' type='checkbox'><label for='data-3f72111d-099e-48fb-a287-cb8fbb229598' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of all valid half-hourly MWprecipitation retrievals for the day</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MWprecipitation_cnt</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-44a7bc70-4c6a-4d89-a173-af7df5373f68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44a7bc70-4c6a-4d89-a173-af7df5373f68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f1db91c-055c-4924-a241-ce33504abb70' class='xr-var-data-in' type='checkbox'><label for='data-6f1db91c-055c-4924-a241-ce33504abb70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of all valid half-hourly MWprecipitation retrievals for the day</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1778,7 +1778,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MWprecipitation_cnt_cond</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-56e48620-7599-4f04-8767-6fbbb6b2512f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56e48620-7599-4f04-8767-6fbbb6b2512f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee26b9a0-071b-4c0b-b343-9267c28d46dd' class='xr-var-data-in' type='checkbox'><label for='data-ee26b9a0-071b-4c0b-b343-9267c28d46dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of half-hourly MWprecipitation retrievals for the day where precipitation is at least 0.01 mm/hr</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MWprecipitation_cnt_cond</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-736b0ad8-2701-4601-a3f7-a694a7f656cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-736b0ad8-2701-4601-a3f7-a694a7f656cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8a87efe-6500-43e2-a9d5-baaf2990605f' class='xr-var-data-in' type='checkbox'><label for='data-f8a87efe-6500-43e2-a9d5-baaf2990605f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of half-hourly MWprecipitation retrievals for the day where precipitation is at least 0.01 mm/hr</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1860,7 +1860,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>randomError</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-0fcf9359-6bcc-4fca-b9f1-d7318ac690a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fcf9359-6bcc-4fca-b9f1-d7318ac690a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbbf92c2-787a-4dd5-8cc9-7822ae026437' class='xr-var-data-in' type='checkbox'><label for='data-dbbf92c2-787a-4dd5-8cc9-7822ae026437' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>long_name :</span></dt><dd>Root-mean-square error estimate for combined microwave-IR daily precipitation rate</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>randomError</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-7eb8fda6-016b-4b8d-a59d-dde93cb866e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7eb8fda6-016b-4b8d-a59d-dde93cb866e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-735112a8-8351-422f-8e4a-091ff0a7a869' class='xr-var-data-in' type='checkbox'><label for='data-735112a8-8351-422f-8e4a-091ff0a7a869' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>long_name :</span></dt><dd>Root-mean-square error estimate for combined microwave-IR daily precipitation rate</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1942,7 +1942,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>randomError_cnt</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-6d5e2443-70db-4890-813d-85c399ca897a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d5e2443-70db-4890-813d-85c399ca897a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3ed270c-9953-44a0-b239-3986aa155edc' class='xr-var-data-in' type='checkbox'><label for='data-d3ed270c-9953-44a0-b239-3986aa155edc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of valid half-hourly randomError retrievals for the day</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>randomError_cnt</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-f805955b-00bc-4767-bca6-8c37bf3c5b04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f805955b-00bc-4767-bca6-8c37bf3c5b04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fae802a6-3c3a-4abe-9a48-700c2e309aeb' class='xr-var-data-in' type='checkbox'><label for='data-fae802a6-3c3a-4abe-9a48-700c2e309aeb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of valid half-hourly randomError retrievals for the day</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -2024,7 +2024,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>probabilityLiquidPrecipitation</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-309b5d47-48b9-439e-8af9-1523fb95fb0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-309b5d47-48b9-439e-8af9-1523fb95fb0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2e25748-0e89-4d97-ba4d-f08f8dda5b39' class='xr-var-data-in' type='checkbox'><label for='data-f2e25748-0e89-4d97-ba4d-f08f8dda5b39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>percent</dd><dt><span>long_name :</span></dt><dd>Probability of liquid precipitation</dd><dt><span>description :</span></dt><dd>Probability of liquid precipitation estimated with a diagnostic parameterization using ancillary data. 0=missing values; 1=likely solid; 100=likely liquid or no precipitation.  Screen by positive precipitation or precipitation_cnt_cond to locate meaningful probabilities.</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>probabilityLiquidPrecipitation</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-b239ecb1-a86b-4f61-8a41-2d41365337b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b239ecb1-a86b-4f61-8a41-2d41365337b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-821b9cb7-629d-4bde-b9f4-d9049e8f5c7a' class='xr-var-data-in' type='checkbox'><label for='data-821b9cb7-629d-4bde-b9f4-d9049e8f5c7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>percent</dd><dt><span>long_name :</span></dt><dd>Probability of liquid precipitation</dd><dt><span>description :</span></dt><dd>Probability of liquid precipitation estimated with a diagnostic parameterization using ancillary data. 0=missing values; 1=likely solid; 100=likely liquid or no precipitation.  Screen by positive precipitation or precipitation_cnt_cond to locate meaningful probabilities.</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -2106,7 +2106,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-9547f336-779a-41d1-9cd6-a8d3c03222a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9547f336-779a-41d1-9cd6-a8d3c03222a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cafadcf-2d9b-4adb-a2fb-aecb7b0f85d2' class='xr-var-data-in' type='checkbox'><label for='data-2cafadcf-2d9b-4adb-a2fb-aecb7b0f85d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>time nv</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-29128f9e-dbe3-418c-acc9-ded1aa61dd8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29128f9e-dbe3-418c-acc9-ded1aa61dd8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac152db5-037a-40cb-bbae-9c3ca623dea4' class='xr-var-data-in' type='checkbox'><label for='data-ac152db5-037a-40cb-bbae-9c3ca623dea4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>time nv</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -2163,7 +2163,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-330b2141-28cc-424b-98fc-bcb704fb588b' class='xr-section-summary-in' type='checkbox'  ><label for='section-330b2141-28cc-424b-98fc-bcb704fb588b' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-eeea2a4d-7ca0-4626-8240-08916515bbdd' class='xr-index-data-in' type='checkbox'/><label for='index-eeea2a4d-7ca0-4626-8240-08916515bbdd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ -179.9499969482422, -179.85000610351562,             -179.75,\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-79ccf0e5-2007-4207-b74f-9d054a6a2393' class='xr-section-summary-in' type='checkbox'  ><label for='section-79ccf0e5-2007-4207-b74f-9d054a6a2393' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5f5fd4e7-cdef-43a2-8a4a-7899ab43ccd8' class='xr-index-data-in' type='checkbox'/><label for='index-5f5fd4e7-cdef-43a2-8a4a-7899ab43ccd8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ -179.9499969482422, -179.85000610351562,             -179.75,\n",
        "              -179.64999389648438,  -179.5500030517578,  -179.4499969482422,\n",
        "              -179.35000610351562,             -179.25, -179.14999389648438,\n",
        "               -179.0500030517578,\n",
@@ -2172,7 +2172,7 @@
        "               179.35000610351562,   179.4499969482422,   179.5500030517578,\n",
        "               179.64999389648438,              179.75,  179.85000610351562,\n",
        "                179.9499969482422],\n",
-       "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=3600))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5fa03339-80f5-4e13-97ed-e3f69ec826e0' class='xr-index-data-in' type='checkbox'/><label for='index-5fa03339-80f5-4e13-97ed-e3f69ec826e0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([            -89.95, -89.85000000000001,             -89.75,\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=3600))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-826f135f-246f-4f1d-beed-64d199b3b816' class='xr-index-data-in' type='checkbox'/><label for='index-826f135f-246f-4f1d-beed-64d199b3b816' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([            -89.95, -89.85000000000001,             -89.75,\n",
        "                          -89.65,             -89.55,             -89.45,\n",
        "              -89.35000000000001,             -89.25,             -89.15,\n",
        "                          -89.05,\n",
@@ -2181,7 +2181,7 @@
        "               89.35000000000001,              89.45,              89.55,\n",
        "               89.65000000000002,  89.75000000000001,  89.85000000000001,\n",
        "                           89.95],\n",
-       "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=1800))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-84f02b34-739c-44e0-adad-fec6d02cbf13' class='xr-index-data-in' type='checkbox'/><label for='index-84f02b34-739c-44e0-adad-fec6d02cbf13' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2023-02-24&#x27;, &#x27;2023-02-25&#x27;, &#x27;2023-02-26&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ce94d22a-d374-4e58-a87b-c59969a0a723' class='xr-section-summary-in' type='checkbox'  ><label for='section-ce94d22a-d374-4e58-a87b-c59969a0a723' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>BeginDate :</span></dt><dd>2023-02-24</dd><dt><span>BeginTime :</span></dt><dd>00:00:00.000Z</dd><dt><span>EndDate :</span></dt><dd>2023-02-24</dd><dt><span>EndTime :</span></dt><dd>23:59:59.999Z</dd><dt><span>FileHeader :</span></dt><dd>StartGranuleDateTime=2023-02-24T00:00:00.000Z;\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=1800))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f74b895c-82ac-4804-abc5-04b4361cfc55' class='xr-index-data-in' type='checkbox'/><label for='index-f74b895c-82ac-4804-abc5-04b4361cfc55' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2023-02-24&#x27;, &#x27;2023-02-25&#x27;, &#x27;2023-02-26&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fd8b9e2f-350c-4da2-a33b-ab20d831adea' class='xr-section-summary-in' type='checkbox'  ><label for='section-fd8b9e2f-350c-4da2-a33b-ab20d831adea' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>BeginDate :</span></dt><dd>2023-02-24</dd><dt><span>BeginTime :</span></dt><dd>00:00:00.000Z</dd><dt><span>EndDate :</span></dt><dd>2023-02-24</dd><dt><span>EndTime :</span></dt><dd>23:59:59.999Z</dd><dt><span>FileHeader :</span></dt><dd>StartGranuleDateTime=2023-02-24T00:00:00.000Z;\n",
        "StopGranuleDateTime=2023-02-24T23:59:59.999Z</dd><dt><span>InputPointer :</span></dt><dd>3B-HHR.MS.MRG.3IMERG.20230224-S000000-E002959.0000.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S003000-E005959.0030.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S010000-E012959.0060.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S013000-E015959.0090.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S020000-E022959.0120.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S023000-E025959.0150.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S030000-E032959.0180.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S033000-E035959.0210.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S040000-E042959.0240.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S043000-E045959.0270.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S050000-E052959.0300.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S053000-E055959.0330.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S060000-E062959.0360.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S063000-E065959.0390.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S070000-E072959.0420.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S073000-E075959.0450.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S080000-E082959.0480.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S083000-E085959.0510.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S090000-E092959.0540.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S093000-E095959.0570.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S100000-E102959.0600.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S103000-E105959.0630.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S110000-E112959.0660.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S113000-E115959.0690.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S120000-E122959.0720.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S123000-E125959.0750.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S130000-E132959.0780.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S133000-E135959.0810.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S140000-E142959.0840.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S143000-E145959.0870.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S150000-E152959.0900.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S153000-E155959.0930.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S160000-E162959.0960.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S163000-E165959.0990.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S170000-E172959.1020.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S173000-E175959.1050.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S180000-E182959.1080.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S183000-E185959.1110.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S190000-E192959.1140.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S193000-E195959.1170.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S200000-E202959.1200.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S203000-E205959.1230.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S210000-E212959.1260.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S213000-E215959.1290.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S220000-E222959.1320.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S223000-E225959.1350.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S230000-E232959.1380.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S233000-E235959.1410.V07A.HDF5</dd><dt><span>title :</span></dt><dd>GPM IMERG Final Precipitation L3 1 day 0.1 degree x 0.1 degree (GPM_3IMERGDF)</dd><dt><span>DOI :</span></dt><dd>10.5067/GPM/IMERGDF/DAY/07</dd><dt><span>ProductionTime :</span></dt><dd>2023-08-29T08:52:09.517Z</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
@@ -2616,7 +2616,7 @@
        "    randomError_cnt                 (lon, lat) int8 dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;\n",
        "    probabilityLiquidPrecipitation  (lon, lat) int8 dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;\n",
        "    time_bnds                       (nv) datetime64[ns] dask.array&lt;chunksize=(2,), meta=np.ndarray&gt;\n",
-       "Attributes: (9)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3acde89a-6d42-4591-83fe-60eaafb38765' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3acde89a-6d42-4591-83fe-60eaafb38765' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 120</li><li><span class='xr-has-index'>lat</span>: 120</li><li><span>nv</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ccc9497f-1a34-469c-bc9d-3bc9e3b613e2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ccc9497f-1a34-469c-bc9d-3bc9e3b613e2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-124.9 -124.8 ... -113.2 -113.1</div><input id='attrs-4afa3608-8afc-483b-9cd4-f4bfeb842163' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4afa3608-8afc-483b-9cd4-f4bfeb842163' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c17d123b-4716-4fa3-ab75-65db8e59a742' class='xr-var-data-in' type='checkbox'><label for='data-c17d123b-4716-4fa3-ab75-65db8e59a742' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd></dl></div><div class='xr-var-data'><pre>array([-124.95, -124.85, -124.75, -124.65, -124.55, -124.45, -124.35, -124.25,\n",
+       "Attributes: (9)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-28a869bb-d97e-400a-a061-08402671f360' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-28a869bb-d97e-400a-a061-08402671f360' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 120</li><li><span class='xr-has-index'>lat</span>: 120</li><li><span>nv</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ba6d0908-7845-4bdb-9051-f34e98e9a182' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ba6d0908-7845-4bdb-9051-f34e98e9a182' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-124.9 -124.8 ... -113.2 -113.1</div><input id='attrs-0f5de3ed-e5d6-4714-8493-74e1ccc4bfb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f5de3ed-e5d6-4714-8493-74e1ccc4bfb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-723a6d47-f385-45e3-9f96-0ca7c09c200a' class='xr-var-data-in' type='checkbox'><label for='data-723a6d47-f385-45e3-9f96-0ca7c09c200a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd></dl></div><div class='xr-var-data'><pre>array([-124.95, -124.85, -124.75, -124.65, -124.55, -124.45, -124.35, -124.25,\n",
        "       -124.15, -124.05, -123.95, -123.85, -123.75, -123.65, -123.55, -123.45,\n",
        "       -123.35, -123.25, -123.15, -123.05, -122.95, -122.85, -122.75, -122.65,\n",
        "       -122.55, -122.45, -122.35, -122.25, -122.15, -122.05, -121.95, -121.85,\n",
@@ -2631,7 +2631,7 @@
        "       -115.35, -115.25, -115.15, -115.05, -114.95, -114.85, -114.75, -114.65,\n",
        "       -114.55, -114.45, -114.35, -114.25, -114.15, -114.05, -113.95, -113.85,\n",
        "       -113.75, -113.65, -113.55, -113.45, -113.35, -113.25, -113.15, -113.05],\n",
-       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.05 31.15 31.25 ... 42.85 42.95</div><input id='attrs-f5da9b7a-9126-438a-89cd-b4a644264f43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5da9b7a-9126-438a-89cd-b4a644264f43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c06cd99b-43cc-41ec-84e6-5f957cb0ea9e' class='xr-var-data-in' type='checkbox'><label for='data-c06cd99b-43cc-41ec-84e6-5f957cb0ea9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd></dl></div><div class='xr-var-data'><pre>array([31.05, 31.15, 31.25, 31.35, 31.45, 31.55, 31.65, 31.75, 31.85, 31.95,\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.05 31.15 31.25 ... 42.85 42.95</div><input id='attrs-002c755d-db66-4c51-854d-c0817c8ac3da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-002c755d-db66-4c51-854d-c0817c8ac3da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da4d88c2-8dd7-4f67-b760-21b6ef1255b0' class='xr-var-data-in' type='checkbox'><label for='data-da4d88c2-8dd7-4f67-b760-21b6ef1255b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd></dl></div><div class='xr-var-data'><pre>array([31.05, 31.15, 31.25, 31.35, 31.45, 31.55, 31.65, 31.75, 31.85, 31.95,\n",
        "       32.05, 32.15, 32.25, 32.35, 32.45, 32.55, 32.65, 32.75, 32.85, 32.95,\n",
        "       33.05, 33.15, 33.25, 33.35, 33.45, 33.55, 33.65, 33.75, 33.85, 33.95,\n",
        "       34.05, 34.15, 34.25, 34.35, 34.45, 34.55, 34.65, 34.75, 34.85, 34.95,\n",
@@ -2642,7 +2642,7 @@
        "       39.05, 39.15, 39.25, 39.35, 39.45, 39.55, 39.65, 39.75, 39.85, 39.95,\n",
        "       40.05, 40.15, 40.25, 40.35, 40.45, 40.55, 40.65, 40.75, 40.85, 40.95,\n",
        "       41.05, 41.15, 41.25, 41.35, 41.45, 41.55, 41.65, 41.75, 41.85, 41.95,\n",
-       "       42.05, 42.15, 42.25, 42.35, 42.45, 42.55, 42.65, 42.75, 42.85, 42.95])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-02-24</div><input id='attrs-93e839c2-0a23-4d04-a5c2-f37bad79710b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93e839c2-0a23-4d04-a5c2-f37bad79710b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-249cc823-47fc-41dc-bc88-42bdee15f159' class='xr-var-data-in' type='checkbox'><label for='data-249cc823-47fc-41dc-bc88-42bdee15f159' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2023-02-24T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b0244c75-5a3c-4fe7-8542-208e7132de89' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b0244c75-5a3c-4fe7-8542-208e7132de89' class='xr-section-summary' >Data variables: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>precipitation</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;</div><input id='attrs-0de9e37c-053d-42d0-b4b6-5922e00cc49e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0de9e37c-053d-42d0-b4b6-5922e00cc49e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7ed1138-de01-4889-8177-64241884913b' class='xr-var-data-in' type='checkbox'><label for='data-b7ed1138-de01-4889-8177-64241884913b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>long_name :</span></dt><dd>Daily mean precipitation rate (combined microwave-IR) estimate. Formerly precipitationCal.</dd></dl></div><div class='xr-var-data'><table>\n",
+       "       42.05, 42.15, 42.25, 42.35, 42.45, 42.55, 42.65, 42.75, 42.85, 42.95])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-02-24</div><input id='attrs-3c7a1b80-12a4-46bc-af5a-b926031900e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c7a1b80-12a4-46bc-af5a-b926031900e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-099544e6-2fcb-4b36-9fb9-332512e7bafd' class='xr-var-data-in' type='checkbox'><label for='data-099544e6-2fcb-4b36-9fb9-332512e7bafd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2023-02-24T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1bd4b7ed-eab4-418b-8d57-3d35fc53d7a0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1bd4b7ed-eab4-418b-8d57-3d35fc53d7a0' class='xr-section-summary' >Data variables: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>precipitation</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;</div><input id='attrs-f5f2ae0f-7787-4853-92d4-f8a95a80c047' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5f2ae0f-7787-4853-92d4-f8a95a80c047' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8679ca51-198c-4d9c-a805-f4b2f12b6d08' class='xr-var-data-in' type='checkbox'><label for='data-8679ca51-198c-4d9c-a805-f4b2f12b6d08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>long_name :</span></dt><dd>Daily mean precipitation rate (combined microwave-IR) estimate. Formerly precipitationCal.</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -2697,7 +2697,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitation_cnt</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;</div><input id='attrs-e9c67962-6a9f-4469-99e0-297f65f39137' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9c67962-6a9f-4469-99e0-297f65f39137' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51205d8e-0d03-4a7d-8447-4324059a2cfd' class='xr-var-data-in' type='checkbox'><label for='data-51205d8e-0d03-4a7d-8447-4324059a2cfd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of all valid half-hourly precipitation retrievals for the day</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitation_cnt</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;</div><input id='attrs-2e52907c-d8e1-4a48-bb55-fd115af34072' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e52907c-d8e1-4a48-bb55-fd115af34072' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5697ba66-a956-472a-a7f6-cb4dc27b224e' class='xr-var-data-in' type='checkbox'><label for='data-5697ba66-a956-472a-a7f6-cb4dc27b224e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of all valid half-hourly precipitation retrievals for the day</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -2752,7 +2752,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitation_cnt_cond</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;</div><input id='attrs-e546bcee-6a26-4abe-ab1e-7277c9d37fb7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e546bcee-6a26-4abe-ab1e-7277c9d37fb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c88f86a-08b4-4ad6-bdf0-8b4a3caf48b2' class='xr-var-data-in' type='checkbox'><label for='data-4c88f86a-08b4-4ad6-bdf0-8b4a3caf48b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of half-hourly precipitation retrievals for the day where precipitation is at least 0.01 mm/hr</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitation_cnt_cond</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;</div><input id='attrs-870784ff-03ef-4a2d-955a-4189b5b43d6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-870784ff-03ef-4a2d-955a-4189b5b43d6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb027024-2e77-44e0-9b51-893370bbfc01' class='xr-var-data-in' type='checkbox'><label for='data-bb027024-2e77-44e0-9b51-893370bbfc01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of half-hourly precipitation retrievals for the day where precipitation is at least 0.01 mm/hr</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -2807,7 +2807,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MWprecipitation</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;</div><input id='attrs-5095b521-38bb-4c51-8ea6-e7b5cea293c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5095b521-38bb-4c51-8ea6-e7b5cea293c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41e3795e-7771-4579-b067-c5df963f851e' class='xr-var-data-in' type='checkbox'><label for='data-41e3795e-7771-4579-b067-c5df963f851e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>long_name :</span></dt><dd>Daily mean High Quality precipitation rate from all available microwave sources. Formerly HQprecipitation.</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MWprecipitation</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;</div><input id='attrs-78a5d267-77be-412a-90c5-395a9166cf62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78a5d267-77be-412a-90c5-395a9166cf62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3310b30-4882-4155-8f98-16b68bca734b' class='xr-var-data-in' type='checkbox'><label for='data-f3310b30-4882-4155-8f98-16b68bca734b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>long_name :</span></dt><dd>Daily mean High Quality precipitation rate from all available microwave sources. Formerly HQprecipitation.</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -2862,7 +2862,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MWprecipitation_cnt</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;</div><input id='attrs-38047a7a-0050-4f40-af9e-862d261c54b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38047a7a-0050-4f40-af9e-862d261c54b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ceb8e1ee-202b-4377-b4aa-c1114f6402ce' class='xr-var-data-in' type='checkbox'><label for='data-ceb8e1ee-202b-4377-b4aa-c1114f6402ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of all valid half-hourly MWprecipitation retrievals for the day</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MWprecipitation_cnt</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;</div><input id='attrs-365bca67-b09d-4339-a2c7-f80e9c35f024' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-365bca67-b09d-4339-a2c7-f80e9c35f024' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6fb2212-c2ba-48b2-ad62-352578b26f80' class='xr-var-data-in' type='checkbox'><label for='data-a6fb2212-c2ba-48b2-ad62-352578b26f80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of all valid half-hourly MWprecipitation retrievals for the day</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -2917,7 +2917,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MWprecipitation_cnt_cond</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;</div><input id='attrs-90c6cae4-32fd-4712-912f-268fbeaf8494' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90c6cae4-32fd-4712-912f-268fbeaf8494' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d12b8120-9da0-46bd-9608-e0aadb0f4b1e' class='xr-var-data-in' type='checkbox'><label for='data-d12b8120-9da0-46bd-9608-e0aadb0f4b1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of half-hourly MWprecipitation retrievals for the day where precipitation is at least 0.01 mm/hr</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MWprecipitation_cnt_cond</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;</div><input id='attrs-1f4c5f94-0fcf-474f-93bb-396849b00645' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f4c5f94-0fcf-474f-93bb-396849b00645' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc9eeb20-9af5-45f5-ba62-d423d5593a26' class='xr-var-data-in' type='checkbox'><label for='data-cc9eeb20-9af5-45f5-ba62-d423d5593a26' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of half-hourly MWprecipitation retrievals for the day where precipitation is at least 0.01 mm/hr</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -2972,7 +2972,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>randomError</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;</div><input id='attrs-f527a26f-9ade-4c5c-aec2-05f072eb3ce9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f527a26f-9ade-4c5c-aec2-05f072eb3ce9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de76bf33-78f3-4b15-a48f-b9a5d81e4e65' class='xr-var-data-in' type='checkbox'><label for='data-de76bf33-78f3-4b15-a48f-b9a5d81e4e65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>long_name :</span></dt><dd>Root-mean-square error estimate for combined microwave-IR daily precipitation rate</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>randomError</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;</div><input id='attrs-6b10d938-2a53-4cb7-a89b-96ad92048646' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b10d938-2a53-4cb7-a89b-96ad92048646' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-481453f5-3f83-4aad-8a7e-a91330ce399f' class='xr-var-data-in' type='checkbox'><label for='data-481453f5-3f83-4aad-8a7e-a91330ce399f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>long_name :</span></dt><dd>Root-mean-square error estimate for combined microwave-IR daily precipitation rate</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3027,7 +3027,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>randomError_cnt</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;</div><input id='attrs-15e6e290-1bf8-4043-88d3-bdab4b792238' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15e6e290-1bf8-4043-88d3-bdab4b792238' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bdb72dbe-917b-4af9-921e-bf2b483b9705' class='xr-var-data-in' type='checkbox'><label for='data-bdb72dbe-917b-4af9-921e-bf2b483b9705' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of valid half-hourly randomError retrievals for the day</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>randomError_cnt</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;</div><input id='attrs-b983d1d8-bbfb-4327-88d6-8efcf23d2684' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b983d1d8-bbfb-4327-88d6-8efcf23d2684' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e539e44-75f7-40a5-ad1d-6756886a6ca4' class='xr-var-data-in' type='checkbox'><label for='data-5e539e44-75f7-40a5-ad1d-6756886a6ca4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>count</dd><dt><span>long_name :</span></dt><dd>Count of valid half-hourly randomError retrievals for the day</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3082,7 +3082,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>probabilityLiquidPrecipitation</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;</div><input id='attrs-8d492b52-2019-4cad-9940-f984837f1ff4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d492b52-2019-4cad-9940-f984837f1ff4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da5ec4b5-3033-472a-8527-8d1d738f52e6' class='xr-var-data-in' type='checkbox'><label for='data-da5ec4b5-3033-472a-8527-8d1d738f52e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>percent</dd><dt><span>long_name :</span></dt><dd>Probability of liquid precipitation</dd><dt><span>description :</span></dt><dd>Probability of liquid precipitation estimated with a diagnostic parameterization using ancillary data. 0=missing values; 1=likely solid; 100=likely liquid or no precipitation.  Screen by positive precipitation or precipitation_cnt_cond to locate meaningful probabilities.</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>probabilityLiquidPrecipitation</span></div><div class='xr-var-dims'>(lon, lat)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(120, 120), meta=np.ndarray&gt;</div><input id='attrs-5f517d16-4bab-4ff5-a00b-a371d802d1cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f517d16-4bab-4ff5-a00b-a371d802d1cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0036561f-2e68-4d68-8a76-7a43b630a8bb' class='xr-var-data-in' type='checkbox'><label for='data-0036561f-2e68-4d68-8a76-7a43b630a8bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>percent</dd><dt><span>long_name :</span></dt><dd>Probability of liquid precipitation</dd><dt><span>description :</span></dt><dd>Probability of liquid precipitation estimated with a diagnostic parameterization using ancillary data. 0=missing values; 1=likely solid; 100=likely liquid or no precipitation.  Screen by positive precipitation or precipitation_cnt_cond to locate meaningful probabilities.</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3137,7 +3137,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(nv)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2,), meta=np.ndarray&gt;</div><input id='attrs-a838b30a-1170-49e0-b7cf-59e983133a3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a838b30a-1170-49e0-b7cf-59e983133a3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fde7f10f-68db-4160-bdcc-cc8e02ea13cd' class='xr-var-data-in' type='checkbox'><label for='data-fde7f10f-68db-4160-bdcc-cc8e02ea13cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>time nv</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(nv)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2,), meta=np.ndarray&gt;</div><input id='attrs-d82d7abe-7f13-4529-8544-1e78cb65d906' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d82d7abe-7f13-4529-8544-1e78cb65d906' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7a435f0-c867-4860-a53e-0efa859c4259' class='xr-var-data-in' type='checkbox'><label for='data-d7a435f0-c867-4860-a53e-0efa859c4259' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>time nv</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3192,7 +3192,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-646e58ec-cf88-41cc-ae85-116ba8a0c929' class='xr-section-summary-in' type='checkbox'  ><label for='section-646e58ec-cf88-41cc-ae85-116ba8a0c929' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b5a8b2cd-8149-4e4e-940a-78c79aff5ce1' class='xr-index-data-in' type='checkbox'/><label for='index-b5a8b2cd-8149-4e4e-940a-78c79aff5ce1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-124.94999694824219,  -124.8499984741211,             -124.75,\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-36f52a77-1eea-4422-8a2b-74d437878013' class='xr-section-summary-in' type='checkbox'  ><label for='section-36f52a77-1eea-4422-8a2b-74d437878013' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6feb19d0-9bfc-48f2-8b37-cd7ae09473b0' class='xr-index-data-in' type='checkbox'/><label for='index-6feb19d0-9bfc-48f2-8b37-cd7ae09473b0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-124.94999694824219,  -124.8499984741211,             -124.75,\n",
        "               -124.6500015258789, -124.55000305175781, -124.44999694824219,\n",
        "               -124.3499984741211,             -124.25,  -124.1500015258789,\n",
        "              -124.05000305175781,\n",
@@ -3201,7 +3201,7 @@
        "               -113.6500015258789, -113.55000305175781, -113.44999694824219,\n",
        "               -113.3499984741211,             -113.25,  -113.1500015258789,\n",
        "              -113.05000305175781],\n",
-       "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=120))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2c83b6f8-7dee-470e-a994-50564213aa20' class='xr-index-data-in' type='checkbox'/><label for='index-2c83b6f8-7dee-470e-a994-50564213aa20' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([             31.05,  31.15000000000001, 31.250000000000004,\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=120))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8390aa5d-d523-4d06-9ee7-959452f5d9fa' class='xr-index-data-in' type='checkbox'/><label for='index-8390aa5d-d523-4d06-9ee7-959452f5d9fa' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([             31.05,  31.15000000000001, 31.250000000000004,\n",
        "              31.350000000000012, 31.450000000000006,              31.55,\n",
        "               31.65000000000001, 31.750000000000004, 31.850000000000012,\n",
        "              31.950000000000006,\n",
@@ -3210,7 +3210,7 @@
        "               42.35000000000001,              42.45,              42.55,\n",
        "               42.64999999999999, 42.750000000000014,  42.85000000000001,\n",
        "                           42.95],\n",
-       "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=120))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-53e804bc-656c-403f-88d9-657d51f636f8' class='xr-section-summary-in' type='checkbox'  ><label for='section-53e804bc-656c-403f-88d9-657d51f636f8' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>BeginDate :</span></dt><dd>2023-02-24</dd><dt><span>BeginTime :</span></dt><dd>00:00:00.000Z</dd><dt><span>EndDate :</span></dt><dd>2023-02-24</dd><dt><span>EndTime :</span></dt><dd>23:59:59.999Z</dd><dt><span>FileHeader :</span></dt><dd>StartGranuleDateTime=2023-02-24T00:00:00.000Z;\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=120))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9a689a56-0edf-4d36-b5ca-4beb1d73ba59' class='xr-section-summary-in' type='checkbox'  ><label for='section-9a689a56-0edf-4d36-b5ca-4beb1d73ba59' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>BeginDate :</span></dt><dd>2023-02-24</dd><dt><span>BeginTime :</span></dt><dd>00:00:00.000Z</dd><dt><span>EndDate :</span></dt><dd>2023-02-24</dd><dt><span>EndTime :</span></dt><dd>23:59:59.999Z</dd><dt><span>FileHeader :</span></dt><dd>StartGranuleDateTime=2023-02-24T00:00:00.000Z;\n",
        "StopGranuleDateTime=2023-02-24T23:59:59.999Z</dd><dt><span>InputPointer :</span></dt><dd>3B-HHR.MS.MRG.3IMERG.20230224-S000000-E002959.0000.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S003000-E005959.0030.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S010000-E012959.0060.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S013000-E015959.0090.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S020000-E022959.0120.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S023000-E025959.0150.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S030000-E032959.0180.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S033000-E035959.0210.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S040000-E042959.0240.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S043000-E045959.0270.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S050000-E052959.0300.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S053000-E055959.0330.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S060000-E062959.0360.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S063000-E065959.0390.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S070000-E072959.0420.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S073000-E075959.0450.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S080000-E082959.0480.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S083000-E085959.0510.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S090000-E092959.0540.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S093000-E095959.0570.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S100000-E102959.0600.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S103000-E105959.0630.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S110000-E112959.0660.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S113000-E115959.0690.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S120000-E122959.0720.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S123000-E125959.0750.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S130000-E132959.0780.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S133000-E135959.0810.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S140000-E142959.0840.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S143000-E145959.0870.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S150000-E152959.0900.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S153000-E155959.0930.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S160000-E162959.0960.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S163000-E165959.0990.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S170000-E172959.1020.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S173000-E175959.1050.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S180000-E182959.1080.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S183000-E185959.1110.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S190000-E192959.1140.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S193000-E195959.1170.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S200000-E202959.1200.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S203000-E205959.1230.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S210000-E212959.1260.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S213000-E215959.1290.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S220000-E222959.1320.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S223000-E225959.1350.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S230000-E232959.1380.V07A.HDF5;3B-HHR.MS.MRG.3IMERG.20230224-S233000-E235959.1410.V07A.HDF5</dd><dt><span>title :</span></dt><dd>GPM IMERG Final Precipitation L3 1 day 0.1 degree x 0.1 degree (GPM_3IMERGDF)</dd><dt><span>DOI :</span></dt><dd>10.5067/GPM/IMERGDF/DAY/07</dd><dt><span>ProductionTime :</span></dt><dd>2023-08-29T08:52:09.517Z</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
@@ -3267,7 +3267,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "id": "d97b5757-eb9e-4816-b2c8-5516823080ae",
    "metadata": {
     "tags": []
@@ -3298,7 +3298,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "id": "5c8222e6-df93-496b-ac47-0dcff427fb33",
    "metadata": {
     "tags": []
@@ -3326,7 +3326,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "id": "62e9dcc1-c311-4bef-8a65-08beb54f0453",
    "metadata": {
     "tags": []
@@ -3413,7 +3413,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 14,
    "id": "583e324b-88c9-4726-af33-ff07367dcf28",
    "metadata": {
     "tags": []
@@ -3435,7 +3435,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 15,
    "id": "db162b89-de86-4bb0-b620-4257d9af6b92",
    "metadata": {
     "tags": []
@@ -3460,7 +3460,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 16,
    "id": "4b59af1b-7338-40f9-8965-80339436f6a1",
    "metadata": {
     "tags": []
@@ -3495,7 +3495,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 17,
    "id": "3fbe4b39-df2c-4189-9eb9-aadeb1b492c0",
    "metadata": {
     "tags": []
@@ -3628,7 +3628,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 18,
    "id": "90865d24-6bbc-46ff-97a4-05f7d8fb4f3b",
    "metadata": {
     "tags": []
@@ -3685,7 +3685,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 19,
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@@ -3707,7 +3707,7 @@
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-   "execution_count": 9,
+   "execution_count": 20,
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.pn-loading.pn-arc:before {\\n  background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n  background-size: auto calc(min(50%, 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fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]}]}};\n",
+       "  var render_items = [{\"docid\":\"fee85d7c-5ae9-452d-bb87-86b04b3f1fb7\",\"roots\":{\"p1005\":\"c64ca165-50bf-4a62-851d-7648adc89e10\"},\"root_ids\":[\"p1005\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
@@ -3796,7 +3796,7 @@
        "   .Points.I   :Points   [x,y]   (City)"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 20,
      "metadata": {
       "application/vnd.holoviews_exec.v0+json": {
        "id": "p1005"
@@ -3829,12 +3829,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 21,
    "id": "f02d190d-81f3-4fd2-b92e-5345769b85ca",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "collection_id = \"C1576365803-LARC_ASDC\"  # (~9 to 12 minutes to process) EPIC-view satellite composites for DSCOVR, Version 1\n",
     "\n",
@@ -3852,7 +3863,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 22,
    "id": "2ca89302-42f0-4017-ba0f-a6e348b8dc1d",
    "metadata": {
     "tags": []
@@ -3861,10 +3872,10 @@
     {
      "data": {
       "text/plain": [
-       "'87eef6e2-c28d-4fe6-995e-a9d496eb287b'"
+       "'696ab111-4e7b-4aa9-bbff-d91c60533cc6'"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3876,7 +3887,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 23,
    "id": "044b95c6-4312-4d99-acfc-6eea0e28056d",
    "metadata": {
     "tags": []
@@ -3888,17 +3899,17 @@
        "{'status': 'running',\n",
        " 'message': 'The job is being processed',\n",
        " 'progress': 0,\n",
-       " 'created_at': datetime.datetime(2023, 12, 4, 15, 42, 10, 4000, tzinfo=tzlocal()),\n",
-       " 'updated_at': datetime.datetime(2023, 12, 4, 15, 42, 10, 4000, tzinfo=tzlocal()),\n",
-       " 'created_at_local': '2023-12-04T15:42:10+00:00',\n",
-       " 'updated_at_local': '2023-12-04T15:42:10+00:00',\n",
+       " 'created_at': datetime.datetime(2023, 12, 7, 20, 41, 23, 881000, tzinfo=tzlocal()),\n",
+       " 'updated_at': datetime.datetime(2023, 12, 7, 20, 41, 23, 881000, tzinfo=tzlocal()),\n",
+       " 'created_at_local': '2023-12-07T20:41:23+00:00',\n",
+       " 'updated_at_local': '2023-12-07T20:41:23+00:00',\n",
        " 'request': 'https://harmony.earthdata.nasa.gov/C1576365803-LARC_ASDC/ogc-api-coverages/1.0.0/collections/general%2Frelative_time,general%2Fprecipitable_water,clear_sky%2Fskin_temperature/coverage/rangeset?forceAsync=true&subset=time(%222016-02-24T12%3A00%3A00%22%3A%222016-02-24T23%3A00%3A00%22)',\n",
        " 'num_input_granules': 4,\n",
-       " 'data_expiration': datetime.datetime(2024, 1, 3, 15, 42, 10, 4000, tzinfo=tzlocal()),\n",
-       " 'data_expiration_local': '2024-01-03T15:42:10+00:00'}"
+       " 'data_expiration': datetime.datetime(2024, 1, 6, 20, 41, 23, 881000, tzinfo=tzlocal()),\n",
+       " 'data_expiration_local': '2024-01-06T20:41:23+00:00'}"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3909,7 +3920,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 24,
    "id": "2abe3ac3-5172-4218-ba44-0b063abdbac1",
    "metadata": {},
    "outputs": [
@@ -3983,22 +3994,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 25,
    "id": "dcdf99d8-74c1-49cf-b65d-38ea1ef0e5e4",
    "metadata": {
     "tags": []
    },
    "outputs": [
     {
-     "ename": "NameError",
-     "evalue": "name 'harmony_client' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mharmony_client\u001b[49m\u001b[38;5;241m.\u001b[39mstatus(job_id)\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'harmony_client' is not defined"
-     ]
+     "data": {
+      "text/plain": [
+       "{'status': 'successful',\n",
+       " 'message': 'The job has completed successfully',\n",
+       " 'progress': 100,\n",
+       " 'created_at': datetime.datetime(2023, 12, 7, 20, 41, 23, 881000, tzinfo=tzlocal()),\n",
+       " 'updated_at': datetime.datetime(2023, 12, 7, 20, 47, 30, 711000, tzinfo=tzlocal()),\n",
+       " 'created_at_local': '2023-12-07T20:41:23+00:00',\n",
+       " 'updated_at_local': '2023-12-07T20:47:30+00:00',\n",
+       " 'request': 'https://harmony.earthdata.nasa.gov/C1576365803-LARC_ASDC/ogc-api-coverages/1.0.0/collections/general%2Frelative_time,general%2Fprecipitable_water,clear_sky%2Fskin_temperature/coverage/rangeset?forceAsync=true&subset=time(%222016-02-24T12%3A00%3A00%22%3A%222016-02-24T23%3A00%3A00%22)',\n",
+       " 'num_input_granules': 4,\n",
+       " 'data_expiration': datetime.datetime(2024, 1, 6, 20, 41, 23, 881000, tzinfo=tzlocal()),\n",
+       " 'data_expiration_local': '2024-01-06T20:41:23+00:00'}"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -4007,7 +4027,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 26,
    "id": "4d996a53-6cf4-40c3-a5c5-06d932956609",
    "metadata": {
     "tags": []
@@ -4028,7 +4048,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 27,
    "id": "80f432ab-17aa-4fe8-b99a-831dd59725ed",
    "metadata": {
     "tags": []
@@ -4040,8 +4060,8 @@
      "text": [
       "\n",
       "Downloading results:\n",
-      "DSCOVR_EPIC_L2_COMPOSITE_01_20160224T201500Z_subsetted.nc4\n",
       "DSCOVR_EPIC_L2_COMPOSITE_01_20160224T163900Z_subsetted.nc4\n",
+      "DSCOVR_EPIC_L2_COMPOSITE_01_20160224T201500Z_subsetted.nc4\n",
       "DSCOVR_EPIC_L2_COMPOSITE_01_20160224T182700Z_subsetted.nc4\n",
       "DSCOVR_EPIC_L2_COMPOSITE_01_20160225T004500Z_subsetted.nc4\n",
       "\n",
@@ -4063,7 +4083,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 28,
    "id": "ef2b5dea-e0ba-4574-90b7-f087c94605b7",
    "metadata": {
     "tags": []
@@ -4436,18 +4456,18 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:             (Lines: 15, Pixels: 60)\n",
+       "Dimensions:             (Lines: 25, Pixels: 37)\n",
        "Coordinates:\n",
        "    lat                 (Lines, Pixels) float32 ...\n",
        "    lon                 (Lines, Pixels) float32 ...\n",
        "Dimensions without coordinates: Lines, Pixels\n",
        "Data variables:\n",
        "    relative_time       (Lines, Pixels) float64 ...\n",
-       "    precipitable_water  (Lines, Pixels) float32 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-62402fc8-cece-4ec1-9ef6-5b0ccc5e8ce3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-62402fc8-cece-4ec1-9ef6-5b0ccc5e8ce3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>Lines</span>: 15</li><li><span>Pixels</span>: 60</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f78224be-6add-44b3-8ac9-2c642a03ab90' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f78224be-6add-44b3-8ac9-2c642a03ab90' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(Lines, Pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-82560431-6e06-480f-b77f-8e61a6cfaf1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82560431-6e06-480f-b77f-8e61a6cfaf1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a265b331-ad10-42c1-bae3-f6872aaef285' class='xr-var-data-in' type='checkbox'><label for='data-a265b331-ad10-42c1-bae3-f6872aaef285' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>valid_range :</span></dt><dd>[-90.  90.]</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[900 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(Lines, Pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6db061e2-d5f6-4196-843c-98936cac11a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6db061e2-d5f6-4196-843c-98936cac11a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66d6c992-ed65-4fc1-813d-6d99c5c599d7' class='xr-var-data-in' type='checkbox'><label for='data-66d6c992-ed65-4fc1-813d-6d99c5c599d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>valid_range :</span></dt><dd>[-180.  180.]</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[900 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-50096796-8be6-4ef5-a172-5edcf075e547' class='xr-section-summary-in' type='checkbox'  checked><label for='section-50096796-8be6-4ef5-a172-5edcf075e547' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>relative_time</span></div><div class='xr-var-dims'>(Lines, Pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e2e2bea2-5dfc-4da8-b238-b215814c34b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2e2bea2-5dfc-4da8-b238-b215814c34b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b2f585a-8fbc-4b09-8a5d-6e3a4f7ab876' class='xr-var-data-in' type='checkbox'><label for='data-6b2f585a-8fbc-4b09-8a5d-6e3a4f7ab876' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>relative_time</dd><dt><span>valid_range :</span></dt><dd>[-32767  32767]</dd><dt><span>units :</span></dt><dd>seconds since 2016-02-24 20:03:51</dd><dt><span>calendar :</span></dt><dd>proleptic_gregorian</dd></dl></div><div class='xr-var-data'><pre>[900 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitable_water</span></div><div class='xr-var-dims'>(Lines, Pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ff714c56-fbcb-4815-b131-189149eca94d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff714c56-fbcb-4815-b131-189149eca94d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-504a1611-0fbb-429e-95e0-218d2752b429' class='xr-var-data-in' type='checkbox'><label for='data-504a1611-0fbb-429e-95e0-218d2752b429' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>MOA Precipitable Water</dd><dt><span>units :</span></dt><dd>cm</dd><dt><span>valid_range :</span></dt><dd>[    0 50000]</dd></dl></div><div class='xr-var-data'><pre>[900 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-61e07e26-f18a-4082-be08-b9bdb96c7fdf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-61e07e26-f18a-4082-be08-b9bdb96c7fdf' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-41fb6da5-8278-44c4-a1f3-39dfc8af47f5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-41fb6da5-8278-44c4-a1f3-39dfc8af47f5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "    precipitable_water  (Lines, Pixels) float32 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-cffcb543-00fe-482c-995e-c2db5c028573' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cffcb543-00fe-482c-995e-c2db5c028573' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>Lines</span>: 25</li><li><span>Pixels</span>: 37</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d6954b4d-5884-41ac-8229-f18958b23d42' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d6954b4d-5884-41ac-8229-f18958b23d42' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(Lines, Pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d78ff8d2-b7e7-4747-a21f-4170d6bd95c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d78ff8d2-b7e7-4747-a21f-4170d6bd95c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdca22e8-be1a-459a-a3e3-35c4787d38aa' class='xr-var-data-in' type='checkbox'><label for='data-fdca22e8-be1a-459a-a3e3-35c4787d38aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>valid_range :</span></dt><dd>[-90.  90.]</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[925 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(Lines, Pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-42539b00-8dba-49f7-bc76-59d18e9d693c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42539b00-8dba-49f7-bc76-59d18e9d693c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d82855c1-d4e1-46f3-b175-fa8d65f5b544' class='xr-var-data-in' type='checkbox'><label for='data-d82855c1-d4e1-46f3-b175-fa8d65f5b544' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>valid_range :</span></dt><dd>[-180.  180.]</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[925 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-26027ca6-4d57-49c6-9bad-7fdc5335b2bb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-26027ca6-4d57-49c6-9bad-7fdc5335b2bb' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>relative_time</span></div><div class='xr-var-dims'>(Lines, Pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-03e83fe6-1f59-439e-af79-a47583272c48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03e83fe6-1f59-439e-af79-a47583272c48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76af60fa-2af6-429e-9800-8fb29ee50050' class='xr-var-data-in' type='checkbox'><label for='data-76af60fa-2af6-429e-9800-8fb29ee50050' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>relative_time</dd><dt><span>valid_range :</span></dt><dd>[-32767  32767]</dd><dt><span>units :</span></dt><dd>seconds since 2016-02-24 17:03:16</dd><dt><span>calendar :</span></dt><dd>proleptic_gregorian</dd></dl></div><div class='xr-var-data'><pre>[925 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitable_water</span></div><div class='xr-var-dims'>(Lines, Pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b9548f7f-f122-428a-9334-b700c02eb0ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9548f7f-f122-428a-9334-b700c02eb0ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccc2fdb8-8948-4762-9e8d-677fb601cb5e' class='xr-var-data-in' type='checkbox'><label for='data-ccc2fdb8-8948-4762-9e8d-677fb601cb5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>MOA Precipitable Water</dd><dt><span>units :</span></dt><dd>cm</dd><dt><span>valid_range :</span></dt><dd>[    0 50000]</dd></dl></div><div class='xr-var-data'><pre>[925 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-431d04ec-90ae-4855-9cb5-7e504b6f14d8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-431d04ec-90ae-4855-9cb5-7e504b6f14d8' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-fd9e5879-9b0a-4ef5-92b4-824ce2e9b826' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fd9e5879-9b0a-4ef5-92b4-824ce2e9b826' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
-       "Dimensions:             (Lines: 15, Pixels: 60)\n",
+       "Dimensions:             (Lines: 25, Pixels: 37)\n",
        "Coordinates:\n",
        "    lat                 (Lines, Pixels) float32 ...\n",
        "    lon                 (Lines, Pixels) float32 ...\n",
@@ -4457,7 +4477,7 @@
        "    precipitable_water  (Lines, Pixels) float32 ..."
       ]
      },
-     "execution_count": 95,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4477,7 +4497,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": 29,
    "id": "629911d9-8b17-44b0-8e3d-2e630a521495",
    "metadata": {
     "tags": []
@@ -4491,7 +4511,7 @@
        " 'valid_range': array([    0, 50000], dtype=uint16)}"
       ]
      },
-     "execution_count": 98,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4503,7 +4523,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 100,
+   "execution_count": 30,
    "id": "1c01834c-1ce1-4993-8b43-9a8bc9a862b9",
    "metadata": {
     "tags": []
@@ -4511,7 +4531,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 600x400 with 2 Axes>"
       ]
@@ -4587,7 +4607,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 101,
+   "execution_count": 31,
    "id": "619d7bd6-d47c-463c-a3c7-95821b525bc9",
    "metadata": {},
    "outputs": [
@@ -4629,7 +4649,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
+   "execution_count": 32,
    "id": "3a5b41eb-e646-4d42-96a1-073e2646fcde",
    "metadata": {},
    "outputs": [
@@ -4643,7 +4663,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4b4f92cf16cb4ea3a25c89dd7c57fac2",
+       "model_id": "dcf968aac8124e899cc4ac23c8d55aef",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4657,7 +4677,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "313adfbadacd4c36b5f22fa9311b6cb6",
+       "model_id": "27acc53484d04ad19b813d874058bc61",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4671,7 +4691,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3bfe91f94bfe49c893b071ceef4f3090",
+       "model_id": "6f3dd0cbd4194e9499e0cd41e54794c7",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4692,7 +4712,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "fc84fa8673b244dabd58bebfdff443f7",
+       "model_id": "d48e66bca1a94a6d8d94f579cadb1f5f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4706,7 +4726,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3d0220c439834872a4ad6d092696433f",
+       "model_id": "b1becfcffebb4850b33a24e68a003310",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4720,7 +4740,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5633626840c34007997f0163428e29f1",
+       "model_id": "7058efd0330e4752b2279cd3907a835c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4737,7 +4757,7 @@
        "['MOD10C1.A2023061.061.2023070101022.hdf']"
       ]
      },
-     "execution_count": 102,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4767,7 +4787,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
+   "execution_count": 33,
    "id": "f9ae3517-5564-469b-bd28-e08ab20833a2",
    "metadata": {},
    "outputs": [
@@ -4830,7 +4850,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 104,
+   "execution_count": 34,
    "id": "3b458b84-e042-4a9b-94de-96c21d16ffca",
    "metadata": {
     "tags": []
@@ -4888,7 +4908,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 105,
+   "execution_count": 35,
    "id": "1ad33c72-b484-4687-bc6c-0822804422de",
    "metadata": {
     "tags": []
@@ -4926,7 +4946,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 107,
+   "execution_count": 36,
    "id": "ed96e00d-d1cf-40cd-bd9e-3e620929a05f",
    "metadata": {},
    "outputs": [
@@ -4940,7 +4960,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "588b12380a1f41df8fcf9cc6c8a114fd",
+       "model_id": "7f57b104d43740cd8b8e3dd15aabfb96",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4954,7 +4974,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "54684663f52640b6b1844c42576d5965",
+       "model_id": "d36439f31d5d4ebca115fe884f3d11fb",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4968,7 +4988,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a2195d3c32244c48a62b8a468d49d1c0",
+       "model_id": "85f811a7a3694843a3d980afab5bc831",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4991,7 +5011,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 108,
+   "execution_count": 37,
    "id": "b3137cff-879c-41dd-bb68-fdf107f00d0a",
    "metadata": {},
    "outputs": [
@@ -5005,7 +5025,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9c41c799d6e2446ea45dfa1fd9a965cb",
+       "model_id": "7863fbfae2d340bc8ec1b490e89184d9",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5019,7 +5039,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "efcc521627174aaea51acfebfbd5c26b",
+       "model_id": "8dedbeb1029e45a6a6d4231b0918222d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5033,7 +5053,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ad35dbe8246c4ee692a51fcfe5da3b49",
+       "model_id": "d23ca87097b14e57872df2e8913bddcc",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5064,7 +5084,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 109,
+   "execution_count": 38,
    "id": "0adc16f5-9aad-4b51-9d92-c547fbda64b5",
    "metadata": {},
    "outputs": [
@@ -5081,7 +5101,7 @@
        " 'valid_min': 0.0}"
       ]
      },
-     "execution_count": 109,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5092,7 +5112,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 110,
+   "execution_count": 39,
    "id": "f226c00a-ba07-4481-8f24-cac285a26ac1",
    "metadata": {
     "tags": []
@@ -5142,7 +5162,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 116,
+   "execution_count": 40,
    "id": "2a92fdcc-8868-4289-812d-3df354aba8ac",
    "metadata": {},
    "outputs": [],

From 109cf3f851f355763c86f9f4207125de1f9b1c1c Mon Sep 17 00:00:00 2001
From: danielfromearth <daniel.kaufman@nasa.gov>
Date: Thu, 7 Dec 2023 20:59:48 +0000
Subject: [PATCH 5/5] add description of probably liquid precipitation

---
 tutorials/Earthdata_Subset_and_Plot.ipynb | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/tutorials/Earthdata_Subset_and_Plot.ipynb b/tutorials/Earthdata_Subset_and_Plot.ipynb
index 7dc1be0..c2cf56f 100644
--- a/tutorials/Earthdata_Subset_and_Plot.ipynb
+++ b/tutorials/Earthdata_Subset_and_Plot.ipynb
@@ -3293,7 +3293,9 @@
    "id": "566d6593-7d61-4a8a-8873-e313b2474b5a",
    "metadata": {},
    "source": [
-    "Now let's utilize the \"Probability of liquid precipitation phase\" (`probabilityLiquidPrecipitation`) variable to split apart the snow precipitation from everything else.  And we'll utilize `precipitation_cnt_cond` to filter out data points that had less than 0.01 mm/hr preciptation amounts."
+    "Now let's utilize the \"Probability of liquid precipitation phase\" (`probabilityLiquidPrecipitation`) variable to split apart the snow precipitation from everything else. From the variable's description attribute, we can see that \"0=missing values; 1=likely solid; 100=likely liquid or no precipitation\".\n",
+    "\n",
+    "Moreover, we'll utilize `precipitation_cnt_cond` to filter out data points that had less than 0.01 mm/hr preciptation amounts."
    ]
   },
   {