Update documentation

_sources/validate-xco-cris.ipynb

@@ -10,7 +10,7 @@
     "\n",
     "The name of the model used is \"Swift EARth Science XCO CrIS ML\", also known as \"SEARS XCO CrIS ML\", and the version used is v1.9 which at the time of this writing is the latest version of the model. The model was trained using [TROPESS](https://disc.gsfc.nasa.gov/datasets/TRPSYL2COCRS1FS_1/summary) data.\n",
     "\n",
-    "The code runs a test for `January 2nd, 2024` and compares the TROPESS XCO column (\"Truth\") with the SEARS XCO CrIS ML XCO column (\"Prediction\") for the same day. \n",
+    "This code runs a test for `January 2nd, 2024` and compares the TROPESS XCO column (\"Truth\") with the SEARS XCO CrIS ML XCO column (\"Prediction\") for the same day. \n",
     "\n",
     "The test shows that the SEARS XCO CrIS ML model can accurately predict the Carbon Monoxide column (XCO) globally from CriS JPSS-1 / NOAA-20 radiance and geolocation data. "
    ]

validate-xco-cris/index.html

@@ -413,7 +413,7 @@ <h2> Contents </h2>
 <h1>Model Validation for Carbon Monoxide Column (XCO)<a class="headerlink" href="#model-validation-for-carbon-monoxide-column-xco" title="Permalink to this heading">#</a></h1>
 <p>This Jupyter notebook describes the validation steps for the SEARS XCO CrIS ML model for Carbon Monoxide Column (XCO) prediction.</p>
 <p>The name of the model used is “Swift EARth Science XCO CrIS ML”, also known as “SEARS XCO CrIS ML”, and the version used is v1.9 which at the time of this writing is the latest version of the model. The model was trained using <a class="reference external" href="https://disc.gsfc.nasa.gov/datasets/TRPSYL2COCRS1FS_1/summary">TROPESS</a> data.</p>
-<p>The code runs a test for <code class="docutils literal notranslate"><span class="pre">January</span> <span class="pre">2nd,</span> <span class="pre">2024</span></code> and compares the TROPESS XCO column (“Truth”) with the SEARS XCO CrIS ML XCO column (“Prediction”) for the same day.</p>
+<p>This code runs a test for <code class="docutils literal notranslate"><span class="pre">January</span> <span class="pre">2nd,</span> <span class="pre">2024</span></code> and compares the TROPESS XCO column (“Truth”) with the SEARS XCO CrIS ML XCO column (“Prediction”) for the same day.</p>
 <p>The test shows that the SEARS XCO CrIS ML model can accurately predict the Carbon Monoxide column (XCO) globally from CriS JPSS-1 / NOAA-20 radiance and geolocation data.</p>
 <section id="import-packages">
 <h2>Import packages<a class="headerlink" href="#import-packages" title="Permalink to this heading">#</a></h2>