Deploying to gh-pages from @ f11fe05 🚀

.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 214f1e0ffd128e1d1303d9b1fcd696cd
+config: 3ea39a90b3053b913dcec8823bcd6329
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README.html

@@ -84,7 +84,7 @@
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
   <meta name="docsearch:language" content="en"/>
   <meta name="docsearch:version" content="" />
-    <meta name="docbuild:last-update" content="16 November 2024"/>
+    <meta name="docbuild:last-update" content="27 November 2024"/>
   </head>
 
 
@@ -377,6 +377,22 @@
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Introduction</span></p>
 <ul class="nav bd-sidenav">
 <li class="toctree-l1"><a class="reference internal" href="notebooks/notebook-template.html">Project Pythia Notebook Template</a></li>
+<li class="toctree-l1"><a class="reference internal" href="notebooks/00_geosat_explaining_steps.html">Advanced Baseline Imager (ABI) data with Satpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="notebooks/01_geosat_ABI_GOES_east.html">Advanced Baseline Imager (ABI) data with Satpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="notebooks/01_geosat_GOESR.html">Advanced Baseline Imager (ABI) data with Satpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="notebooks/02_geosat_ABI_GOES_west.html">Advanced Baseline Imager (ABI) data with Satpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="notebooks/03_geosat_AHI_HIMAWARI.html">Advanced Himawari Imager (AHI) data with Satpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="notebooks/04_geosat_AMI_GK2A.html">Advance Meteorological Imager (AMI) data with Satpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="notebooks/99_auxiliar_dowloading.html">This notebook contains example cells to download data.</a></li>
+
+
+
+
+
+
+
+
+
 </ul>
 
     </div>
@@ -409,8 +425,8 @@
   <img alt="pythia ncar" src="_images/ncar_pythia.png" />
 <section class="tex2jax_ignore mathjax_ignore" id="geostationary-satellite-cookbook">
 <h1>Geostationary satellite Cookbook<a class="headerlink" href="#geostationary-satellite-cookbook" title="Link to this heading"><i class="fas fa-link"></i></a></h1>
-<p><a class="reference external" href="https://github.com/ProjectPythia/cookbook-geosat/actions/workflows/nightly-build.yaml"><img alt="nightly-build" src="https://github.com/ProjectPythia/cookbook-geosat/actions/workflows/nightly-build.yaml/badge.svg" /></a>
-<a class="reference external" href="https://binder.projectpythia.org/v2/gh/ProjectPythia/cookbook-geosat/main?labpath=notebooks"><img alt="Binder" src="https://binder.projectpythia.org/badge_logo.svg" /></a>
+<p><a class="reference external" href="https://github.com/ProjectPythia/geostationary-cookbook/actions/workflows/nightly-build.yaml"><img alt="nightly-build" src="https://github.com/ProjectPythia/geostationary-cookbook/actions/workflows/nightly-build.yaml/badge.svg" /></a>
+<a class="reference external" href="https://binder.projectpythia.org/v2/gh/ProjectPythia/geostationary-cookbook/main?labpath=notebooks"><img alt="Binder" src="https://binder.projectpythia.org/badge_logo.svg" /></a>
 <a class="reference external" href="https://zenodo.org/badge/latestdoi/810398043"><img alt="DOI" src="https://zenodo.org/badge/810398043.svg" /></a></p>
 <p>This <strong>“Pythia Cookbook”</strong> was started during the <strong>Project Pythia June 11-14 2024 in Boulder, CO at the NCAR Mesa Lab</strong>. The <strong>“COOKBOOK GEOSAT”</strong> aims to provide a comprehensive guide for utilizing Satpy to analyze geostationary satellite data of the sensor Advanced Baseline Imager (<a class="reference external" href="https://www.goes-r.gov/spacesegment/abi.html">ABI</a>) on <a class="reference external" href="https://www.goes-r.gov">GOES-R</a> (west and east), sensor Advanced Himawari Imager (<a class="reference external" href="https://www.data.jma.go.jp/mscweb/en/himawari89/space_segment/spsg_ahi.html">AHI</a>) on <a class="reference external" href="https://www.jma.go.jp/jma/jma-eng/satellite/himawari89.html">HIMAWARI</a>, and sensor Advance Meteorological Imager (AMI) on <a class="reference external" href="https://nmsc.kma.go.kr/enhome/html/base/cmm/selectPage.do?page=satellite.gk2a.intro">Geo-KOMPSAT-2A</a> (GK2A). <a class="reference external" href="https://satpy.readthedocs.io/en/stable/">Satpy</a> is a powerful Python library specifically designed for processing and analyzing satellite data, offering capabilities for data visualization, manipulation, and analysis.</p>
 <img alt="pythia ncar" class="align-center" src="_images/all_sats.png" />
@@ -459,8 +475,8 @@ <h2>Authors<a class="headerlink" href="#authors" title="Link to this heading"><i
 </div>
 <section id="contributors">
 <h3>Contributors<a class="headerlink" href="#contributors" title="Link to this heading"><i class="fas fa-link"></i></a></h3>
-<a href="https://github.com/ProjectPythia/cookbook-geosat/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=ProjectPythia/cookbook-geosat" />
+<a href="https://github.com/ProjectPythia/geostationary-cookbook/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=ProjectPythia/geostationary-cookbook" />
 </a>
 </section>
 </section>
@@ -516,21 +532,21 @@ <h3>Running on Binder<a class="headerlink" href="#running-on-binder" title="Link
 <section id="running-on-your-own-machine">
 <h3>Running on Your Own Machine<a class="headerlink" href="#running-on-your-own-machine" title="Link to this heading"><i class="fas fa-link"></i></a></h3>
 <p>If you are interested in running this material locally on your computer, you will need to follow this workflow:</p>
-<p>(Replace “cookbook-geosat” with the title of your cookbooks)</p>
+<p>(Replace “geostationary-cookbook” with the title of your cookbooks)</p>
 <ol class="arabic">
-<li><p>Clone the <code class="docutils literal notranslate"><span class="pre">https://github.com/ProjectPythia/cookbook-geosat</span></code> repository:</p>
-<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="w"> </span>git<span class="w"> </span>clone<span class="w"> </span>https://github.com/ProjectPythia/cookbook-geosat.git
+<li><p>Clone the <code class="docutils literal notranslate"><span class="pre">https://github.com/ProjectPythia/geostationary-cookbook</span></code> repository:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="w"> </span>git<span class="w"> </span>clone<span class="w"> </span>https://github.com/ProjectPythia/geostationary-cookbook.git
 </pre></div>
 </div>
 </li>
-<li><p>Move into the <code class="docutils literal notranslate"><span class="pre">cookbook-geosat</span></code> directory</p>
-<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="nb">cd</span><span class="w"> </span>cookbook-geosat
+<li><p>Move into the <code class="docutils literal notranslate"><span class="pre">geostationary-cookbook</span></code> directory</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="nb">cd</span><span class="w"> </span>geostationary-cookbook
 </pre></div>
 </div>
 </li>
 <li><p>Create and activate your conda environment from the <code class="docutils literal notranslate"><span class="pre">environment.yml</span></code> file</p>
 <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>conda<span class="w"> </span>env<span class="w"> </span>create<span class="w"> </span>-f<span class="w"> </span>environment.yml
-conda<span class="w"> </span>activate<span class="w"> </span>cookbook-geosat
+conda<span class="w"> </span>activate<span class="w"> </span>geostationary-cookbook
 </pre></div>
 </div>
 </li>
@@ -659,7 +675,7 @@ <h3>Running on Your Own Machine<a class="headerlink" href="#running-on-your-own-
 
 
 
-      <li><a href="https://github.com/ProjectPythia/cookbook-template" target="_blank"
+      <li><a href="https://github.com/ProjectPythia/geostationary-cookbook" target="_blank"
    class="btn btn-sm btn-source-repository-button dropdown-item"
    title="Source repository"
    data-bs-placement="left" data-bs-toggle="tooltip"
@@ -676,7 +692,7 @@ <h3>Running on Your Own Machine<a class="headerlink" href="#running-on-your-own-
 
 
 
-      <li><a href="https://github.com/ProjectPythia/cookbook-template/edit/main/README.md" target="_blank"
+      <li><a href="https://github.com/ProjectPythia/geostationary-cookbook/edit/main/README.md" target="_blank"
    class="btn btn-sm btn-source-edit-button dropdown-item"
    title="Suggest edit"
    data-bs-placement="left" data-bs-toggle="tooltip"
@@ -693,7 +709,7 @@ <h3>Running on Your Own Machine<a class="headerlink" href="#running-on-your-own-
 
 
 
-      <li><a href="https://github.com/ProjectPythia/cookbook-template/issues/new?title=Issue%20on%20page%20%2FREADME.html&body=Your%20issue%20content%20here." target="_blank"
+      <li><a href="https://github.com/ProjectPythia/geostationary-cookbook/issues/new?title=Issue%20on%20page%20%2FREADME.html&body=Your%20issue%20content%20here." target="_blank"
    class="btn btn-sm btn-source-issues-button dropdown-item"
    title="Open an issue"
    data-bs-placement="left" data-bs-toggle="tooltip"
@@ -823,7 +839,7 @@ <h3>Running on Your Own Machine<a class="headerlink" href="#running-on-your-own-
 
   <div class="footer-item">
     <p class="last-updated">
-  Last updated on 16 November 2024.
+  Last updated on 27 November 2024.
   <br/>
 </p>
   </div>
@@ -857,13 +873,13 @@ <h3>Running on Your Own Machine<a class="headerlink" href="#running-on-your-own-
     <div class="container-xl">
       <div class="row d-flex flex-wrap align-items-center">
         <div class="d-flex col-lg-3 col-md-4 col-sm-6 p-2 mx-auto">
-          <img alt="NCAR" src="_images\NSF-NCAR_Lockup-UCAR-Dark_102523.svg" style="width: 100%">
+          <img alt="NCAR" src="_images/NSF-NCAR_Lockup-UCAR-Dark_102523.svg" style="width: 100%">
         </div>
         <div class="d-flex col-lg-3 col-md-4 col-sm-6 p-2 mx-auto">
-          <img alt="Unidata" src="_images\Unidata_logo_horizontal_1200x300.svg" style="width: 100%">
+          <img alt="Unidata" src="_images/Unidata_logo_horizontal_1200x300.svg" style="width: 100%">
         </div>
         <div class="d-flex col-lg-3 col-md-4 col-sm-6 p-2 mx-auto">
-          <img alt="UAlbany" src="_images\UAlbany-A2-logo-purple-gold.svg" style="width: 100%">
+          <img alt="UAlbany" src="_images/UAlbany-A2-logo-purple-gold.svg" style="width: 100%">
         </div>
       </div>
     </div>
@@ -877,7 +893,7 @@ <h3>Running on Your Own Machine<a class="headerlink" href="#running-on-your-own-
 
           By the <a href="https://projectpythia.org/">Project Pythia</a> Community.
 
-          Last updated on 16 November 2024.
+          Last updated on 27 November 2024.
         </p>
       </div>
     </div>

_sources/README.md

@@ -2,8 +2,8 @@
 
 # Geostationary satellite Cookbook
 
-[![nightly-build](https://github.com/ProjectPythia/cookbook-geosat/actions/workflows/nightly-build.yaml/badge.svg)](https://github.com/ProjectPythia/cookbook-geosat/actions/workflows/nightly-build.yaml)
-[![Binder](https://binder.projectpythia.org/badge_logo.svg)](https://binder.projectpythia.org/v2/gh/ProjectPythia/cookbook-geosat/main?labpath=notebooks)
+[![nightly-build](https://github.com/ProjectPythia/geostationary-cookbook/actions/workflows/nightly-build.yaml/badge.svg)](https://github.com/ProjectPythia/geostationary-cookbook/actions/workflows/nightly-build.yaml)
+[![Binder](https://binder.projectpythia.org/badge_logo.svg)](https://binder.projectpythia.org/v2/gh/ProjectPythia/geostationary-cookbook/main?labpath=notebooks)
 [![DOI](https://zenodo.org/badge/810398043.svg)](https://zenodo.org/badge/latestdoi/810398043)
 
 
@@ -37,8 +37,8 @@ of the three geostationary satellites that can be accessed freely from AWS bucke
 
 ### Contributors
 
-<a href="https://github.com/ProjectPythia/cookbook-geosat/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=ProjectPythia/cookbook-geosat" />
+<a href="https://github.com/ProjectPythia/geostationary-cookbook/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=ProjectPythia/geostationary-cookbook" />
 </a>
 
 
@@ -93,22 +93,22 @@ Jupyter](https://foundations.projectpythia.org/foundations/getting-started-jupyt
 
 If you are interested in running this material locally on your computer, you will need to follow this workflow:
 
-(Replace "cookbook-geosat" with the title of your cookbooks)
+(Replace "geostationary-cookbook" with the title of your cookbooks)
 
-1. Clone the `https://github.com/ProjectPythia/cookbook-geosat` repository:
+1. Clone the `https://github.com/ProjectPythia/geostationary-cookbook` repository:
 
    ```bash
-    git clone https://github.com/ProjectPythia/cookbook-geosat.git
+    git clone https://github.com/ProjectPythia/geostationary-cookbook.git
    ```
 
-1. Move into the `cookbook-geosat` directory
+1. Move into the `geostationary-cookbook` directory
    ```bash
-   cd cookbook-geosat
+   cd geostationary-cookbook
    ```
 1. Create and activate your conda environment from the `environment.yml` file
    ```bash
    conda env create -f environment.yml
-   conda activate cookbook-geosat
+   conda activate geostationary-cookbook
    ```
 1. Move into the `notebooks` directory and start up Jupyterlab
    ```bash

_sources/notebooks/00_geosat_explaining_steps.ipynb

@@ -1147,7 +1147,7 @@
     "# This step involves visualizing the loaded dataset using the 'show' method, which renders the satellite image according to the data's true or natural color representation.\n",
     "# Visualizing data in this way is particularly useful for presentations and educational purposes, providing a realistic view of earth's features such as vegetation, water bodies, and urban areas.\n",
     "\n",
-    "lscn.show(\"natural_color\")\n",
+    "# lscn.show(\"natural_color\")\n",
     "\n",
     "# This visualization step is crucial for analyzing environmental and atmospheric conditions,\n",
     "# as it allows observers to easily identify and assess visible features without the need for specialized image interpretation skills."
@@ -1168,7 +1168,9 @@
     "# The \"C13\" channel typically represents an infrared wavelength used for observing cloud structure and surface temperature,\n",
     "# crucial for meteorological studies and weather forecasting.\n",
     "# Displaying this dataset allows for detailed observation of atmospheric conditions within the specified geographic area.\n",
-    "scn_c1.show(\"C13\")\n",
+    "\n",
+    "### Uncomment to show it\n",
+    "#scn_c1.show(\"C13\")\n",
     "\n",
     "# Visualizing specific channels like \"C13\" in defined geographic regions helps in targeted analysis,\n",
     "# such as monitoring storm development or evaluating climate patterns in detail.\n",
@@ -1190,7 +1192,9 @@
     "# Display the \"ash\" dataset from the cropped scene (scn_c1).\n",
     "# Displaying this dataset allows for visual assessment of ash presence within the specified geographic area.\n",
     "# The visualization is particularly useful in educational and operational settings for demonstrating how satellite data can be applied to real-world environmental challenges.\n",
-    "scn_c1.show('ash')\n",
+    "\n",
+    "### Uncomment to show it\n",
+    "# scn_c1.show('ash')\n",
     "\n",
     "# This step not only aids in the educational demonstration of satellite capabilities but also provides practical insights into the management of natural disasters.\n",
     "# Such visualizations are essential tools in emergency response planning and environmental monitoring."
@@ -1210,7 +1214,9 @@
     "# Display the \"so2\" dataset from the cropped scene (scn_c1).\n",
     "# Displaying this dataset allows for a visual assessment of SO2 distribution within the specified geographic area.\n",
     "# The visualization helps in understanding the spatial extent and concentration of sulfur dioxide, which is essential for both environmental and public health assessments.\n",
-    "scn_c1.show('so2')\n",
+    "\n",
+    "### Uncomment to show it\n",
+    "# scn_c1.show('so2')\n",
     "\n",
     "# This step not only aids in the educational demonstration of how satellite imagery can be utilized to monitor environmental pollutants but also provides practical insights into the management of air quality.\n",
     "# Such visualizations are valuable tools for researchers, policymakers, and educators in understanding and addressing atmospheric pollution."