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<title>BACARDI dataset — How to EUREC⁴A</title>
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<h1>BACARDI dataset</h1>
<!-- Table of contents -->
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<h2> Contents </h2>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#get-data">Get data</a></li>
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<section class="tex2jax_ignore mathjax_ignore" id="bacardi-dataset">
<h1>BACARDI dataset<a class="headerlink" href="#bacardi-dataset" title="Link to this heading">#</a></h1>
<p>The following script exemplifies the access and usage of the Broadband AirCrAft RaDiometer Instrumentation (BACARDI), that combines two sets of Kipp and Zonen broadband radiometer measuring upward and downward irradiance in the solar (pyranometer model CMP-22, 0.2 - 3.6 μm) and terrestrial (pyrgeometer model CGR-4, 4.5 - 42 μm) spectral range.</p>
<p>The dataset is published under <a class="reference external" href="https://doi.org/10.25326/160">Ehrlich et al. (2021)</a>. If you have questions or if you would like to use the data for a publication, please don’t hesitate to get in contact with the dataset authors as stated in the dataset attributes <code class="docutils literal notranslate"><span class="pre">contact</span></code> or <code class="docutils literal notranslate"><span class="pre">author</span></code>.</p>
<section id="get-data">
<h2>Get data<a class="headerlink" href="#get-data" title="Link to this heading">#</a></h2>
<ul class="simple">
<li><p>To load the data we first load the EUREC⁴A meta data catalogue. More information on the catalog can be found <a class="reference external" href="https://github.com/eurec4a/eurec4a-intake#eurec4a-intake-catalogue">here</a>.</p></li>
</ul>
<div class="cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">eurec4a</span>
</pre></div>
</div>
</div>
</div>
<div class="cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">cat</span> <span class="o">=</span> <span class="n">eurec4a</span><span class="o">.</span><span class="n">get_intake_catalog</span><span class="p">(</span><span class="n">use_ipfs</span><span class="o">=</span><span class="s2">"QmahMN2wgPauHYkkiTGoG2TpPBmj3p5FoYJAq9uE9iXT9N"</span><span class="p">)</span>
<span class="nb">list</span><span class="p">(</span><span class="n">cat</span><span class="o">.</span><span class="n">HALO</span><span class="o">.</span><span class="n">BACARDI</span><span class="p">)</span>
</pre></div>
</div>
</div>
<div class="cell_output docutils container">
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>['irradiances']
</pre></div>
</div>
</div>
</div>
<ul class="simple">
<li><p>We can further specify the platform, instrument, if applicable dataset level or variable name, and pass it on to dask.</p></li>
</ul>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>Have a look at the attributes of the xarray dataset <code class="docutils literal notranslate"><span class="pre">ds</span></code> for all relevant information on the dataset, such as author, contact, or citation infromation.</p>
</div>
<div class="cell docutils container">
<div class="cell_input docutils container">
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ds</span> <span class="o">=</span> <span class="n">cat</span><span class="o">.</span><span class="n">HALO</span><span class="o">.</span><span class="n">BACARDI</span><span class="o">.</span><span class="n">irradiances</span><span class="p">[</span><span class="s1">'HALO-0205'</span><span class="p">]</span><span class="o">.</span><span class="n">to_dask</span><span class="p">()</span>
<span class="n">ds</span>
</pre></div>
</div>
</div>
<div class="cell_output docutils container">
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/usr/share/miniconda3/envs/how_to_eurec4a/lib/python3.12/site-packages/intake_xarray/base.py:21: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
'dims': dict(self._ds.dims),
</pre></div>
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</style><pre class='xr-text-repr-fallback'><xarray.Dataset> Size: 17MB
Dimensions: (time: 327320)
Coordinates:
* time (time) datetime64[ns] 3MB 2020-02-05T09:15:52 ... 202...
Data variables:
F_down_solar (time) float32 1MB dask.array<chunksize=(81830,), meta=np.ndarray>
F_down_solar_diff (time) float32 1MB dask.array<chunksize=(81830,), meta=np.ndarray>
F_down_solar_sim (time) float32 1MB dask.array<chunksize=(81830,), meta=np.ndarray>
F_down_terrestrial (time) float32 1MB dask.array<chunksize=(81830,), meta=np.ndarray>
F_up_solar (time) float32 1MB dask.array<chunksize=(81830,), meta=np.ndarray>
F_up_terrestrial (time) float32 1MB dask.array<chunksize=(81830,), meta=np.ndarray>
alt (time) float32 1MB dask.array<chunksize=(81830,), meta=np.ndarray>
cloud_mask (time) int8 327kB dask.array<chunksize=(163660,), meta=np.ndarray>
lat (time) float32 1MB dask.array<chunksize=(81830,), meta=np.ndarray>
lon (time) float32 1MB dask.array<chunksize=(81830,), meta=np.ndarray>
saa (time) float32 1MB dask.array<chunksize=(81830,), meta=np.ndarray>
sza (time) float32 1MB dask.array<chunksize=(81830,), meta=np.ndarray>
Attributes:
campaign: EUREC4A
comment 1: BACARDI Raw data was processed by DLR, contact Andr...
contact: Andre Ehrlich, University Leipzig, a.ehrlich@uni-le...
instrument: Broadband AirCrAft RaDiometer Instrumentation (BACA...
platform: HALO
research_flight_day: 2020/02/05
title: Broadband radiation mesured by BACARDI during EUREC4A
version: Revision 1 from 2021/02/04</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-72d06593-bf51-4760-853a-b63adf5159e8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-72d06593-bf51-4760-853a-b63adf5159e8' 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>: 327320</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-55167223-7c08-4a9a-9a76-47cf930534c5' class='xr-section-summary-in' type='checkbox' checked><label for='section-55167223-7c08-4a9a-9a76-47cf930534c5' class='xr-section-summary' >Coordinates: <span>(1)</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'>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'>2020-02-05T09:15:52 ... 2020-02-...</div><input id='attrs-cb8c5af7-0850-4ca3-aab2-5ef96bac9a63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb8c5af7-0850-4ca3-aab2-5ef96bac9a63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d52b617-ab25-4918-8c7c-cc3423437de1' class='xr-var-data-in' type='checkbox'><label for='data-7d52b617-ab25-4918-8c7c-cc3423437de1' 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>time</dd></dl></div><div class='xr-var-data'><pre>array(['2020-02-05T09:15:52.000000000', '2020-02-05T09:15:52.100000000',
'2020-02-05T09:15:52.200000000', ..., '2020-02-05T18:21:23.700000000',