update intro and headers

nasa · Nov 13, 2024 · 98bd393 · 98bd393
1 parent 5652075
commit 98bd393
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diff --git a/PREFIRE/PREFIRE-HyBIG.ipynb b/PREFIRE/PREFIRE-HyBIG.ipynb
@@ -45,7 +45,7 @@
    "id": "feff6375",
    "metadata": {},
    "source": [
-    "# Setup \n",
+    "# 1. Setup \n",
     "\n",
     "We will use the `harmony-py` library."
    ]
@@ -92,7 +92,7 @@
    "id": "3716416c-81e0-49a3-b1f4-7d2d64106622",
    "metadata": {},
    "source": [
-    "# Make the request to Harmony\n",
+    "# 2. Make the request to Harmony\n",
     "\n"
    ]
   },
@@ -187,7 +187,7 @@
    "id": "ce842b5d",
    "metadata": {},
    "source": [
-    "# View the Result"
+    "# 3. View the result"
    ]
   },
   {

diff --git a/TEMPO/earthaccess_harmony_01_2.ipynb b/TEMPO/earthaccess_harmony_01_2.ipynb
@@ -1,5 +1,43 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "5fd080e1",
+   "metadata": {},
+   "source": [
+    "# Examining TEMPO data retrieved from NASA Earthdata"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ab5d3c4",
+   "metadata": {},
+   "source": [
+    "# Overview\n",
+    "\n",
+    "## Table of Contents\n",
+    "\n",
+    "1. Setup\n",
+    "2. Search for data granules\n",
+    "3. Examining and downloading file results\n",
+    "4. Reading and inspecting the data\n",
+    "5. Working with the data to subset and plot\n",
+    "6. Using Harmony-py to pre-process and retrieve data\n",
+    "7. Plotting the data\n",
+    "\n",
+    "## Dataset Information\n",
+    "\n",
+    "This notebook uses data from the [Tropospheric Emissions: Monitoring of Pollution (TEMPO)](https://asdc.larc.nasa.gov/project/TEMPO) instrument."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a3b64c0a",
+   "metadata": {},
+   "source": [
+    "# 1. Setup"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
@@ -55,7 +93,7 @@
    "id": "95e551d3-0fcf-4a18-a657-d0593fe030a7",
    "metadata": {},
    "source": [
-    "# Logging in and creating local directory"
+    "## Logging in and creating local directory"
    ]
   },
   {
@@ -101,7 +139,9 @@
    "id": "525385a3-170b-4145-8fef-6ac23f9ec6eb",
    "metadata": {},
    "source": [
-    "# Search for TEMPO nitrogen dioxide granules"
+    "# 2. Search for TEMPO granules\n",
+    "\n",
+    "We are going to search for data about nitrogen dioxide ($NO_2$) concentrations from TEMPO."
    ]
   },
   {
@@ -160,12 +200,20 @@
     "                                     , bounding_box = (POI_lon - dlon, POI_lat - dlat, POI_lon + dlon, POI_lat + dlat)) # search by bounding box"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "5471bd8a",
+   "metadata": {},
+   "source": [
+    "# 3. Examining and downloading file results"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "664b616b-2917-49ab-8568-55952707b08d",
    "metadata": {},
    "source": [
-    "## How does a result look like?"
+    "## What does a result look like?"
    ]
   },
   {
@@ -234,7 +282,7 @@
    "id": "36ea97d7-a267-4c84-a5de-e2a844b40646",
    "metadata": {},
    "source": [
-    "## Getting actual link to a granule"
+    "Let's get the link to a granule"
    ]
   },
   {
@@ -260,7 +308,7 @@
    "id": "bfceef7f-1f2e-423b-b272-5e35ca0bb994",
    "metadata": {},
    "source": [
-    "## file names"
+    "Let's examine the file names present in the results object."
    ]
   },
   {
@@ -305,7 +353,7 @@
    "id": "459b851c-4ac6-4a83-95f2-ed5fa976b80a",
    "metadata": {},
    "source": [
-    "## downloading granulues"
+    "## Downloading granulues"
    ]
   },
   {
@@ -336,15 +384,15 @@
    "id": "87eda9c9-4abe-4209-b862-671e7e49778b",
    "metadata": {},
    "source": [
-    "# dealing with the data"
+    "# 4. Reading and inspecting the data"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "67f6f413-0ced-4104-9496-c3f8637ac1e7",
    "metadata": {},
    "source": [
-    "## define a function reading data from TEMPO_NO2_L3_V03 netCDF file"
+    "We first define a function for reading data from TEMPO_NO2_L3_V03 netCDF file."
    ]
   },
   {
@@ -384,7 +432,7 @@
    "id": "b4125e14-534a-49ed-967a-52a9749e7b3c",
    "metadata": {},
    "source": [
-    "## read and examine data from a granulue"
+    "### Let's now examine the data in a granulue"
    ]
   },
   {
@@ -751,6 +799,14 @@
     "len(best_trop_NO2_column)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "4d946d79",
+   "metadata": {},
+   "source": [
+    "# 5. Working with the data to subset and plot"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "cc619a12-91ed-4105-852b-627a44ed10e5",
@@ -850,7 +906,7 @@
    "id": "c0e39895-fb0f-4eac-a22f-76596796faef",
    "metadata": {},
    "source": [
-    "# Another way to get the data - HarmonyPy"
+    "# 6. Another way to get the data - HarmonyPy"
    ]
   },
   {
@@ -868,7 +924,7 @@
      ]
     },
     {
-     "name": "stdin",
+     "name": "stdout",
      "output_type": "stream",
      "text": [
       "Username: alexrad71\n",
@@ -1169,6 +1225,14 @@
     "  ds_dict[r] = xr.merge([ds_root, ds_product])"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "2917903c",
+   "metadata": {},
+   "source": [
+    "# 7. Plotting the data"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "14879a63-ce9c-4bbe-b21a-d433841515a0",