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notebooks/notebook-template.html

@@ -543,8 +543,8 @@ <h5>of further and further<a class="headerlink" href="#of-further-and-further" t
 <section id="header-levels">
 <h6>header levels<a class="headerlink" href="#header-levels" title="Permalink to this heading">#</a></h6>
 <p>as well <span class="math notranslate nohighlight">\(m = a * t / h\)</span> text! Similarly, you have access to other <span class="math notranslate nohighlight">\(\LaTeX\)</span> equation <a class="reference external" href="https://jupyter-notebook.readthedocs.io/en/stable/examples/Notebook/Typesetting%20Equations.html"><strong>functionality</strong></a> via MathJax (demo below from link),</p>
-<div class="amsmath math notranslate nohighlight" id="equation-6472781c-7a00-4df8-b138-9863473aafb2">
-<span class="eqno">()<a class="headerlink" href="#equation-6472781c-7a00-4df8-b138-9863473aafb2" title="Permalink to this equation">#</a></span>\[\begin{align}
+<div class="amsmath math notranslate nohighlight" id="equation-57a6be13-af7b-4fd7-8a53-19c16dbe0959">
+<span class="eqno">()<a class="headerlink" href="#equation-57a6be13-af7b-4fd7-8a53-19c16dbe0959" title="Permalink to this equation">#</a></span>\[\begin{align}
 \dot{x} &amp; = \sigma(y-x) \\
 \dot{y} &amp; = \rho x - y - xz \\
 \dot{z} &amp; = -\beta z + xy

notebooks/plotting/check_les.html

@@ -465,7 +465,7 @@ <h1>Check my LES run<a class="headerlink" href="#check-my-les-run" title="Permal
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-<img alt="../../_images/b1ab38c2f0f8565b2a58cc72758a35ef6db0b361d3c9fd034d5902b27f703f7c.png" src="../../_images/b1ab38c2f0f8565b2a58cc72758a35ef6db0b361d3c9fd034d5902b27f703f7c.png" />
+<img alt="../../_images/22b340037386d837dca0d3bc63c8c198f5b59120c2cf2776c3514d0d1d6c4b1d.png" src="../../_images/22b340037386d837dca0d3bc63c8c198f5b59120c2cf2776c3514d0d1d6c4b1d.png" />
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@@ -476,7 +476,7 @@ <h1>Check my LES run<a class="headerlink" href="#check-my-les-run" title="Permal
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-<img alt="../../_images/d568de8c10d9e340e9af6b636fe7320ff8fe54adf3e8af4f9e70b40552ad2fe8.png" src="../../_images/d568de8c10d9e340e9af6b636fe7320ff8fe54adf3e8af4f9e70b40552ad2fe8.png" />
+<img alt="../../_images/01ed1dbfa589ffe9c5406e005c2129b94603238b3cfe2d3e2ecf9570f9a5626f.png" src="../../_images/01ed1dbfa589ffe9c5406e005c2129b94603238b3cfe2d3e2ecf9570f9a5626f.png" />
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;Figure size 1000x600 with 0 Axes&gt;
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notebooks/plotting/check_scm.html

@@ -555,25 +555,19 @@ <h1>Check my SCM run<a class="headerlink" href="#check-my-scm-run" title="Permal
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-<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">## plot variables that have only time dependence</span>
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># plot variables that have only time dependence</span>
 <span class="n">plot_1d</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">df_gray_1d</span><span class="p">,</span><span class="n">df_col_1d_scm</span><span class="p">,</span><span class="n">df_col_1d_les</span><span class="p">]),</span><span class="n">var_vec_1d</span><span class="p">,</span><span class="n">longnames</span><span class="o">=</span><span class="n">var_vec_1d_long</span><span class="p">,</span><span class="n">units</span><span class="o">=</span><span class="n">var_vec_1d_units</span><span class="p">)</span>
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-<img alt="../../_images/c55afa31f9b4a917ff8a652a35fbadf7719cc9f82e090fbd335185131fe8910d.png" src="../../_images/c55afa31f9b4a917ff8a652a35fbadf7719cc9f82e090fbd335185131fe8910d.png" />
+<img alt="../../_images/f008d4586c67b110665c3f17c78c23ebccbfc09baa8fb793bc78ba86ce880aae.png" src="../../_images/f008d4586c67b110665c3f17c78c23ebccbfc09baa8fb793bc78ba86ce880aae.png" />
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 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">## example where ERA5 and radiosonde are included</span>
-<span class="n">plot_2d</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">df_gray_2d</span><span class="p">,</span><span class="n">df_col_2d_scm</span><span class="p">,</span><span class="n">df_col_2d_les</span><span class="p">]),</span><span class="n">var_vec</span> <span class="o">=</span> <span class="n">var_vec_2d</span><span class="p">,</span><span class="n">times</span><span class="o">=</span><span class="p">[</span><span class="o">-</span><span class="mf">1.5</span><span class="p">,</span><span class="mi">0</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">4</span><span class="p">,</span><span class="mi">18</span><span class="p">],</span><span class="n">z_max</span><span class="o">=</span><span class="mi">6000</span><span class="p">,</span><span class="n">units</span><span class="o">=</span><span class="n">var_vec_2d_units</span><span class="p">)</span>
-</pre></div>
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-<img alt="../../_images/86be245d1ba516ca1e19c9d212a8788b1897000219efb40c8f1050eaa04b0a36.png" src="../../_images/86be245d1ba516ca1e19c9d212a8788b1897000219efb40c8f1050eaa04b0a36.png" />
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;Figure size 1000x600 with 0 Axes&gt;
+<span class="n">plot_2d</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">df_gray_2d</span><span class="p">,</span><span class="n">df_col_2d_scm</span><span class="p">,</span><span class="n">df_col_2d_les</span><span class="p">]),</span><span class="n">var_vec</span> <span class="o">=</span> <span class="n">var_vec_2d</span><span class="p">,</span><span class="n">times</span><span class="o">=</span><span class="p">[</span><span class="o">-</span><span class="mf">1.5</span><span class="p">,</span><span class="mi">0</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">4</span><span class="p">,</span><span class="mi">18</span><span class="p">],</span><span class="n">z_max</span><span class="o">=</span><span class="mi">6000</span><span class="p">,</span><span class="n">units</span><span class="o">=</span><span class="n">var_vec_2d_units</span><span class="p">)</span><span class="c1">## example where ERA5 and radiosonde are included</span>
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notebooks/plotting/example_plotting.html

@@ -448,10 +448,10 @@ <h1>Evaluation of LES against satellite and ground-based observations<a class="h
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-../../data_files/anxsondewnpnM1.b1.20200313.232200.cdf
-../../data_files/anxsondewnpnM1.b1.20200313.172600.cdf
-../../data_files/anxsondewnpnM1.b1.20200313.112600.cdf
 ../../data_files/anxsondewnpnM1.b1.20200313.052700.cdf
+../../data_files/anxsondewnpnM1.b1.20200313.112600.cdf
+../../data_files/anxsondewnpnM1.b1.20200313.172600.cdf
+../../data_files/anxsondewnpnM1.b1.20200313.232200.cdf
 KAZR (Kollias): here using auxiliary field to estimate cloud-top temperature
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-../../output_les/dharma/sandbox/DHARMA_Lx25_dx200_FixN_spec_z0.nc
 ../../output_les/dharma/sandbox/DHARMA_Lx25_dx200_FixN_spec_z0_nudged.nc
-Loading variables: f(time,height)
 ../../output_les/dharma/sandbox/DHARMA_Lx25_dx200_FixN_spec_z0.nc
+Loading variables: f(time,height)
 ../../output_les/dharma/sandbox/DHARMA_Lx25_dx200_FixN_spec_z0_nudged.nc
+../../output_les/dharma/sandbox/DHARMA_Lx25_dx200_FixN_spec_z0.nc
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   maxy = np.nanmax(masked_verts[..., 1])
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+<img alt="../../_images/d4aeb5dd14ee4c806573732160071ddec122b21931f19cfe303da7a3a2bbd217.png" src="../../_images/d4aeb5dd14ee4c806573732160071ddec122b21931f19cfe303da7a3a2bbd217.png" />
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-../../output_les/dharma/sandbox/DHARMA_Lx25_dx200_FixN_spec_z0.nc
 ../../output_les/dharma/sandbox/DHARMA_Lx25_dx200_FixN_spec_z0_nudged.nc
-Loading variables: f(time,height)
 ../../output_les/dharma/sandbox/DHARMA_Lx25_dx200_FixN_spec_z0.nc
+Loading variables: f(time,height)
 ../../output_les/dharma/sandbox/DHARMA_Lx25_dx200_FixN_spec_z0_nudged.nc
+../../output_les/dharma/sandbox/DHARMA_Lx25_dx200_FixN_spec_z0.nc
 computing inversion height, cloud-top height, and cloud-top temperature
 using liquid(-ice) potential temperature
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@@ -534,7 +534,7 @@ <h1>Evaluation of LES against satellite and ground-based observations<a class="h
   maxy = np.nanmax(masked_verts[..., 1])
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+<img alt="../../_images/151c4a239278d9f5b5a318ef9c457f1706925a2d80efa5b334573e52e408332b.png" src="../../_images/151c4a239278d9f5b5a318ef9c457f1706925a2d80efa5b334573e52e408332b.png" />
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 Computing wind direction
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-<img alt="../../_images/e9bc9a91fd3efab624e3ef77d1122ad871c72a94d77094d3982d3622797216ce.png" src="../../_images/e9bc9a91fd3efab624e3ef77d1122ad871c72a94d77094d3982d3622797216ce.png" />
+<img alt="../../_images/9129d2d045556a6ebd69b144636c4ea65a6d6eff1c0bb0db16bbb0801f2e6b0d.png" src="../../_images/9129d2d045556a6ebd69b144636c4ea65a6d6eff1c0bb0db16bbb0801f2e6b0d.png" />
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;Figure size 1000x600 with 0 Axes&gt;
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