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"source": [
"<img src='https://www.actris.eu/sites/default/files/inline-images/Actris%20logo.png' width=200 align=right>\n",
"\n",
"# ACTRIS DC \n",
"## Equivalent black carbon (eBC)"
]
},
{
"cell_type": "markdown",
"id": "d2fd612b",
"metadata": {},
"source": [
"Some text explaining a bit about eBC, instruments and so on..\n",
"\n",
"\n",
"Filter absorption photometers \n",
"The aerosol absorption coefficient is measured in \n",
"\n",
"\n",
"The particle number concentrations in [dN/dlogDp] are measured with Mobility Particle Size Spectrometers (SMPS or DMPS), where D in [nm] is the geometric mean of the channels. "
]
},
{
"cell_type": "code",
"execution_count": 53,
"id": "4643680b",
"metadata": {},
"outputs": [],
"source": [
"import xarray as xr \n",
"import netCDF4 as nc \n",
"import threddsclient\n",
"\n",
"import plotly.express as pxl\n",
"import statistics"
]
},
{
"cell_type": "code",
"execution_count": 54,
"id": "4114eeb0",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"All NRT filter_absorption_photometer datasets with opendap protocol: \n",
" ['https://thredds.nilu.no/thredds/dodsC/actris_nrt/RO0010R.20230327050000.20230627051045.filter_absorption_photometer...3mo.1h.RO03L_Magee_AE33_INO_NRT.RO03L_AE33.lev1.5.nc', 'https://thredds.nilu.no/thredds/dodsC/actris_nrt/IT0025U.20230328140000.20230627050609.filter_absorption_photometer...13w.1h.IT06L_Magee_AE33_MIL_NRT.IT06L_AE33.lev1.5.nc', 'https://thredds.nilu.no/thredds/dodsC/actris_nrt/IT0022C.20230327130000.20230627050606.filter_absorption_photometer...3mo.1h.IT06L_Magee_AE33_BO_NRT.IT06L_AE33.lev1.5.nc', 'https://thredds.nilu.no/thredds/dodsC/actris_nrt/IT0009R.20230327050000.20230627050417.filter_absorption_photometer...3mo.1h.IT06L_Magee_AE33_CMN_NRT.IT06L_AE33.lev1.5.nc', 'https://thredds.nilu.no/thredds/dodsC/actris_nrt/GR0100B.20230503000000.20230627050604.filter_absorption_photometer...8w.1h.GR05L_Magee_AE33_DEM_dry_NRT.GR05L_abs_coef_AE33_v1.lev1.5.nc', 'https://thredds.nilu.no/thredds/dodsC/actris_nrt/FR0020R.20230327050000.20230627044803.filter_absorption_photometer...3mo.1h.FR01L_Magee_AE33_SIR_pm1_NRT.FR01L_Magee_AE33_SIR.lev1.5.nc', 'https://thredds.nilu.no/thredds/dodsC/actris_nrt/FR0020R.20230327050000.20230627043402.filter_absorption_photometer...3mo.1h.FR01L_Magee_AE33_SIR_pm10_NRT.FR01L_Magee_AE33_SIR.lev1.5.nc', 'https://thredds.nilu.no/thredds/dodsC/actris_nrt/ES0019U.20230314070000.20230510090404.filter_absorption_photometer...8w.1h.ES05L_Magee_AE33_sn143_NRT.ES05L_AE33.lev1.5.nc', 'https://thredds.nilu.no/thredds/dodsC/actris_nrt/BG0001R.20230325230000.20230625195845.filter_absorption_photometer..aerosol.3mo.1h.BG02L_GMD_CLAP-3W_BEO_NRT.BG02L_abs_coef.lev1.5.nc']\n"
]
}
],
"source": [
"# Get the ACTRIS NRT thredds catalog\n",
"all_opendap_urls = threddsclient.opendap_urls('https://thredds.nilu.no/thredds/catalog/actris_nrt/catalog.xml')\n",
"\n",
"# Get all filter absorption photometer opendap urls\n",
"fap_opendap_urls = [x for x in all_opendap_urls if 'filter_absorption_photometer' in x]\n",
"print('All NRT filter_absorption_photometer datasets with opendap protocol: \\n',fap_opendap_urls)"
]
},
{
"cell_type": "code",
"execution_count": 55,
"id": "f67e7d25",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'https://thredds.nilu.no/thredds/dodsC/actris_nrt/BG0001R.20230325230000.20230625195845.filter_absorption_photometer..aerosol.3mo.1h.BG02L_GMD_CLAP-3W_BEO_NRT.BG02L_abs_coef.lev1.5.nc'"
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# For this example only one opendap_url is used: \n",
"opendap_url = fap_opendap_urls[-1]\n",
"opendap_url"
]
},
{
"cell_type": "code",
"execution_count": 56,
"id": "8f397df0",
"metadata": {},
"outputs": [
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" temperature_qc_flags: 1,\n",
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"Coordinates:\n",
" * time (time) datetime64[ns] ...\n",
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"Data variables: (12/17)\n",
" time_bnds (time, tbnds) datetime64[ns] ...\n",
" metadata_time_bnds (metadata_time, tbnds) datetime64[ns] ...\n",
" pressure_qc (Location, pressure_qc_flags, time) float64 ...\n",
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" ... ...\n",
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"Attributes: (12/100)\n",
" Conventions: CF-1.8, ACDD-1.3\n",
" featureType: timeSeries\n",
" title: Ground based in situ observations of fil...\n",
" keywords: aerosol_absorption_coefficient, ACTRIS_N...\n",
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" naming_authority: EBAS\n",
" ... ...\n",
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" standard_name_vocabulary: CF-1.7, ACDD-1.3\n",
" history: None\n",
" creator_url: ebas.nilu.no</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-5f92fd87-69c8-402a-a3cf-b78f1c4c22a2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5f92fd87-69c8-402a-a3cf-b78f1c4c22a2' 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>: 2057</li><li><span>tbnds</span>: 2</li><li><span class='xr-has-index'>metadata_time</span>: 1</li><li><span class='xr-has-index'>Location</span>: 1</li><li><span>pressure_qc_flags</span>: 2</li><li><span>temperature_qc_flags</span>: 1</li><li><span class='xr-has-index'>Wavelength</span>: 3</li><li><span>aerosol_absorption_coefficient_amean_qc_flags</span>: 1</li><li><span>aerosol_absorption_coefficient_prec1587_qc_flags</span>: 1</li><li><span>aerosol_absorption_coefficient_perc8413_qc_flags</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5f8fcb9f-1a76-47f9-a3bb-33b2b496c84a' class='xr-section-summary-in' type='checkbox' checked><label for='section-5f8fcb9f-1a76-47f9-a3bb-33b2b496c84a' class='xr-section-summary' >Coordinates: <span>(4)</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'>2023-03-25T23:30:00 ... 2023-06-...</div><input id='attrs-3819ae51-53d9-4058-b12e-af47b5c8876a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3819ae51-53d9-4058-b12e-af47b5c8876a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b2c0b76-741f-4506-9464-09d22fcc4a4e' class='xr-var-data-in' type='checkbox'><label for='data-1b2c0b76-741f-4506-9464-09d22fcc4a4e' 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>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time of measurement</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array(['2023-03-25T23:30:00.000000000', '2023-03-26T00:30:00.000000000',\n",
" '2023-03-26T01:30:00.000000000', ..., '2023-06-25T13:30:00.000000000',\n",
" '2023-06-25T14:30:00.000000000', '2023-06-25T15:30:00.000000000'],\n",
" dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>metadata_time</span></div><div class='xr-var-dims'>(metadata_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-05-10T19:30:00</div><input id='attrs-abbf4d6e-1d74-463b-9775-d7feb69fcd16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abbf4d6e-1d74-463b-9775-d7feb69fcd16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c8c8b60-813c-45b2-807c-133d0a325d8e' class='xr-var-data-in' type='checkbox'><label for='data-9c8c8b60-813c-45b2-807c-133d0a325d8e' 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>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time of ebas metadata intervals</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>metadata_time_bnds</dd></dl></div><div class='xr-var-data'><pre>array(['2023-05-10T19:30:00.000000000'], dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Location</span></div><div class='xr-var-dims'>(Location)</div><div class='xr-var-dtype'>|S64</div><div class='xr-var-preview xr-preview'>b'instrument internal'</div><input id='attrs-8a65c453-3f58-4345-b6ee-5af901e726a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8a65c453-3f58-4345-b6ee-5af901e726a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7765ed1-771e-420d-9bfe-483a310c89fe' class='xr-var-data-in' type='checkbox'><label for='data-b7765ed1-771e-420d-9bfe-483a310c89fe' 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'></dl></div><div class='xr-var-data'><pre>array([b'instrument internal'], dtype='|S64')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Wavelength</span></div><div class='xr-var-dims'>(Wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>467.0 528.0 652.0</div><input id='attrs-8e9f90d2-db75-4f98-bf31-6381034d4935' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8e9f90d2-db75-4f98-bf31-6381034d4935' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b1ae0c3-5b8d-44c4-a5c9-2514d03b6d6a' class='xr-var-data-in' type='checkbox'><label for='data-0b1ae0c3-5b8d-44c4-a5c9-2514d03b6d6a' 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'></dl></div><div class='xr-var-data'><pre>array([467., 528., 652.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5f4e34a8-b044-499d-a245-d70b479227ec' class='xr-section-summary-in' type='checkbox' ><label for='section-5f4e34a8-b044-499d-a245-d70b479227ec' class='xr-section-summary' >Data variables: <span>(17)</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>time_bnds</span></div><div class='xr-var-dims'>(time, tbnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9bfbbeb5-7f80-4fdb-a5cd-d28cd5e3c51b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9bfbbeb5-7f80-4fdb-a5cd-d28cd5e3c51b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f324796-aeba-416f-95b2-9eb6625f2134' class='xr-var-data-in' type='checkbox'><label for='data-5f324796-aeba-416f-95b2-9eb6625f2134' 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 bounds for measurement</dd></dl></div><div class='xr-var-data'><pre>[4114 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>metadata_time_bnds</span></div><div class='xr-var-dims'>(metadata_time, tbnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-901a3369-84b4-41b0-9d72-7b311fec9a15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-901a3369-84b4-41b0-9d72-7b311fec9a15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a91c1b66-7e0c-4933-8fdd-e060e3c5ef52' class='xr-var-data-in' type='checkbox'><label for='data-a91c1b66-7e0c-4933-8fdd-e060e3c5ef52' 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 bounds for ebas metadata intervals</dd></dl></div><div class='xr-var-data'><pre>[2 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure_qc</span></div><div class='xr-var-dims'>(Location, pressure_qc_flags, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-50a5e115-82ce-4d4d-947b-643b01371734' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50a5e115-82ce-4d4d-947b-643b01371734' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fadff7cd-05ab-41ff-8cdc-3dc4d6b1358a' class='xr-var-data-in' type='checkbox'><label for='data-fadff7cd-05ab-41ff-8cdc-3dc4d6b1358a' 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>standard_name :</span></dt><dd>status_flag</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[4114 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure_ebasmetadata</span></div><div class='xr-var-dims'>(Location, metadata_time)</div><div class='xr-var-dtype'>|S64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-658de2e0-0881-4cd8-a5d8-20c3283ce2d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-658de2e0-0881-4cd8-a5d8-20c3283ce2d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-616ea415-5499-46c8-b2dc-5f6eac967078' class='xr-var-data-in' type='checkbox'><label for='data-616ea415-5499-46c8-b2dc-5f6eac967078' 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>ebas metadata for different time intervals; json encoded</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_qc</span></div><div class='xr-var-dims'>(Location, temperature_qc_flags, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6d019c32-e91c-41d5-8289-3b36311e8cca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d019c32-e91c-41d5-8289-3b36311e8cca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f4275dc-8eb3-4a1e-9bf8-ca762ea9b837' class='xr-var-data-in' type='checkbox'><label for='data-5f4275dc-8eb3-4a1e-9bf8-ca762ea9b837' 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>standard_name :</span></dt><dd>status_flag</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[2057 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_ebasmetadata</span></div><div class='xr-var-dims'>(Location, metadata_time)</div><div class='xr-var-dtype'>|S64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fe1203c4-cc8b-4143-a924-a47711696486' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe1203c4-cc8b-4143-a924-a47711696486' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efdee9fd-cd78-444f-9f65-18fc43f7b053' class='xr-var-data-in' type='checkbox'><label for='data-efdee9fd-cd78-444f-9f65-18fc43f7b053' 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>ebas metadata for different time intervals; json encoded</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aerosol_absorption_coefficient_amean_qc</span></div><div class='xr-var-dims'>(Wavelength, aerosol_absorption_coefficient_amean_qc_flags, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4020ca41-f0ff-4863-aca1-f7d9962ff604' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4020ca41-f0ff-4863-aca1-f7d9962ff604' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baa2989b-64a2-47b5-a480-38e1514514df' class='xr-var-data-in' type='checkbox'><label for='data-baa2989b-64a2-47b5-a480-38e1514514df' 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>standard_name :</span></dt><dd>status_flag</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[6171 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aerosol_absorption_coefficient_amean_ebasmetadata</span></div><div class='xr-var-dims'>(Wavelength, metadata_time)</div><div class='xr-var-dtype'>|S64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2119168e-c97d-4084-9bdf-f7cc181714bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2119168e-c97d-4084-9bdf-f7cc181714bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bb0f0ce-0a37-4654-8041-ea597995aa4d' class='xr-var-data-in' type='checkbox'><label for='data-5bb0f0ce-0a37-4654-8041-ea597995aa4d' 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>ebas metadata for different time intervals; json encoded</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=|S64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aerosol_absorption_coefficient_prec1587_qc</span></div><div class='xr-var-dims'>(Wavelength, aerosol_absorption_coefficient_prec1587_qc_flags, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9a997a33-4d62-4efb-b80c-f8214cbeba27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a997a33-4d62-4efb-b80c-f8214cbeba27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5576ea73-96d8-4160-ab91-568d640e81aa' class='xr-var-data-in' type='checkbox'><label for='data-5576ea73-96d8-4160-ab91-568d640e81aa' 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>standard_name :</span></dt><dd>status_flag</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[6171 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aerosol_absorption_coefficient_prec1587_ebasmetadata</span></div><div class='xr-var-dims'>(Wavelength, metadata_time)</div><div class='xr-var-dtype'>|S64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e96fe024-1629-42ce-bb01-acdf9a409569' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e96fe024-1629-42ce-bb01-acdf9a409569' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e847a18-eb89-4425-ae4d-958f6e0da98f' class='xr-var-data-in' type='checkbox'><label for='data-9e847a18-eb89-4425-ae4d-958f6e0da98f' 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>ebas metadata for different time intervals; json encoded</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=|S64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aerosol_absorption_coefficient_perc8413_qc</span></div><div class='xr-var-dims'>(Wavelength, aerosol_absorption_coefficient_perc8413_qc_flags, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4d8e7b7c-cc85-4010-8956-cca235cbcf24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d8e7b7c-cc85-4010-8956-cca235cbcf24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95509c6d-60d6-4495-bf87-0172942a0ede' class='xr-var-data-in' type='checkbox'><label for='data-95509c6d-60d6-4495-bf87-0172942a0ede' 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>standard_name :</span></dt><dd>status_flag</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[6171 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aerosol_absorption_coefficient_perc8413_ebasmetadata</span></div><div class='xr-var-dims'>(Wavelength, metadata_time)</div><div class='xr-var-dtype'>|S64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ffdb6783-b3ff-4f16-bd11-2a95b0d42f54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffdb6783-b3ff-4f16-bd11-2a95b0d42f54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9d5db6e-6ca8-4327-8502-48a455648055' class='xr-var-data-in' type='checkbox'><label for='data-a9d5db6e-6ca8-4327-8502-48a455648055' 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>ebas metadata for different time intervals; json encoded</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=|S64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(Location, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-857a1534-460c-4869-9d07-2ce35ad24570' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-857a1534-460c-4869-9d07-2ce35ad24570' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b158cf8-e75e-4a85-8d4d-791fa9d7046b' class='xr-var-data-in' type='checkbox'><label for='data-5b158cf8-e75e-4a85-8d4d-791fa9d7046b' 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>standard_name :</span></dt><dd>air_pressure</dd><dt><span>units :</span></dt><dd>hPa</dd><dt><span>ancillary_variables :</span></dt><dd>pressure_qc pressure_ebasmetadata</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>ebas_data_license :</span></dt><dd>https://creativecommons.org/licenses/by/4.0/</dd><dt><span>ebas_revision_date :</span></dt><dd>20230625195845</dd><dt><span>ebas_version :</span></dt><dd>1</dd><dt><span>ebas_version_description :</span></dt><dd>Version numbering not tracked, generated by CPD3 EBAS Export v28-39-gfd238446-m run as da.output.upload (547592) run by aerosol on aeroproc.cmdl.noaa.gov via da.output.upload --profile=nrtfap</dd><dt><span>ebas_statistics :</span></dt><dd>arithmetic mean</dd><dt><span>ebas_data_level :</span></dt><dd>1.5</dd><dt><span>ebas_sample_duration :</span></dt><dd>1h</dd><dt><span>ebas_orig_time_res :</span></dt><dd>1mn</dd><dt><span>ebas_station_code :</span></dt><dd>BG0001R</dd><dt><span>ebas_platform_code :</span></dt><dd>BG0001S</dd><dt><span>ebas_station_name :</span></dt><dd>BEO Moussala</dd><dt><span>ebas_station_latitude :</span></dt><dd>42.166667</dd><dt><span>ebas_station_longitude :</span></dt><dd>23.583333</dd><dt><span>ebas_station_altitude :</span></dt><dd>2971.0 m</dd><dt><span>ebas_measuremenet_latitude :</span></dt><dd>42.179199</dd><dt><span>ebas_measurement_longitude :</span></dt><dd>23.5856</dd><dt><span>ebas_measurement_altitude :</span></dt><dd>2925.0 m</dd><dt><span>ebas_measurement_height :</span></dt><dd>10.0 m</dd><dt><span>ebas_regime :</span></dt><dd>IMG</dd><dt><span>ebas_component :</span></dt><dd>pressure</dd><dt><span>ebas_unit :</span></dt><dd>hPa</dd><dt><span>ebas_matrix :</span></dt><dd>aerosol</dd><dt><span>ebas_laboratory_code :</span></dt><dd>BG02L</dd><dt><span>ebas_instrument_type :</span></dt><dd>filter_absorption_photometer</dd><dt><span>ebas_instrument_name :</span></dt><dd>GMD_CLAP-3W_BEO_NRT</dd><dt><span>ebas_instrument_manufacturer :</span></dt><dd>NOAA/ESRL/GMD</dd><dt><span>ebas_instrument_model :</span></dt><dd>CLAP-10</dd><dt><span>ebas_instrument_serial_number :</span></dt><dd>22</dd><dt><span>ebas_method_ref :</span></dt><dd>BG02L_abs_coef</dd><dt><span>ebas_standard_method :</span></dt><dd>None</dd><dt><span>ebas_inlet_type :</span></dt><dd>Hat or hood</dd><dt><span>ebas_volume_std_temperature :</span></dt><dd>273.15 K</dd><dt><span>ebas_volume_std_pressure :</span></dt><dd>1013.25 hPa</dd><dt><span>ebas_zero_negative_values_code :</span></dt><dd>Zero/negative possible</dd><dt><span>ebas_zero_negative_values :</span></dt><dd>Zero and neg. values may appear due to statistical variations at very low concentrations</dd><dt><span>ebas_organization :</span></dt><dd>BG02L, Name not reported, , , , , , , </dd><dt><span>ebas_framework_acronym :</span></dt><dd>ACTRIS_NRT, GAW-WDCA_NRT, NOAA-ESRL_NRT</dd><dt><span>ebas_framework_name :</span></dt><dd>Near Realtime Data for European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, Near Realtime Data for World Data Centre for Aerosols, </dd><dt><span>ebas_framework_description :</span></dt><dd>ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., </dd><dt><span>ebas_framework_contact_name :</span></dt><dd>Cathrine Lund Myhre, Markus Fiebig, Markus Fiebig</dd><dt><span>ebas_framework_contact_email :</span></dt><dd>clm@nilu.no, Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no</dd><dt><span>ebas_originator :</span></dt><dd>Kalapov, Ivo Emilov, , , , , , , , , </dd><dt><span>ebas_submitter :</span></dt><dd>Kalapov, Ivo Emilov, , , , , , , , , </dd><dt><span>ebas_acknowledgement :</span></dt><dd>Request acknowledgement details from data originator</dd></dl></div><div class='xr-var-data'><pre>[2057 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(Location, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-29954460-acdd-49ee-ae0e-365d25de7718' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29954460-acdd-49ee-ae0e-365d25de7718' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7aff9908-9d89-4960-9217-db58440cf0a9' class='xr-var-data-in' type='checkbox'><label for='data-7aff9908-9d89-4960-9217-db58440cf0a9' 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>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>ancillary_variables :</span></dt><dd>temperature_qc temperature_ebasmetadata</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>ebas_data_license :</span></dt><dd>https://creativecommons.org/licenses/by/4.0/</dd><dt><span>ebas_revision_date :</span></dt><dd>20230625195845</dd><dt><span>ebas_version :</span></dt><dd>1</dd><dt><span>ebas_version_description :</span></dt><dd>Version numbering not tracked, generated by CPD3 EBAS Export v28-39-gfd238446-m run as da.output.upload (547592) run by aerosol on aeroproc.cmdl.noaa.gov via da.output.upload --profile=nrtfap</dd><dt><span>ebas_statistics :</span></dt><dd>arithmetic mean</dd><dt><span>ebas_data_level :</span></dt><dd>1.5</dd><dt><span>ebas_sample_duration :</span></dt><dd>1h</dd><dt><span>ebas_orig_time_res :</span></dt><dd>1mn</dd><dt><span>ebas_station_code :</span></dt><dd>BG0001R</dd><dt><span>ebas_platform_code :</span></dt><dd>BG0001S</dd><dt><span>ebas_station_name :</span></dt><dd>BEO Moussala</dd><dt><span>ebas_station_latitude :</span></dt><dd>42.166667</dd><dt><span>ebas_station_longitude :</span></dt><dd>23.583333</dd><dt><span>ebas_station_altitude :</span></dt><dd>2971.0 m</dd><dt><span>ebas_measuremenet_latitude :</span></dt><dd>42.179199</dd><dt><span>ebas_measurement_longitude :</span></dt><dd>23.5856</dd><dt><span>ebas_measurement_altitude :</span></dt><dd>2925.0 m</dd><dt><span>ebas_measurement_height :</span></dt><dd>10.0 m</dd><dt><span>ebas_regime :</span></dt><dd>IMG</dd><dt><span>ebas_component :</span></dt><dd>temperature</dd><dt><span>ebas_unit :</span></dt><dd>K</dd><dt><span>ebas_matrix :</span></dt><dd>aerosol</dd><dt><span>ebas_laboratory_code :</span></dt><dd>BG02L</dd><dt><span>ebas_instrument_type :</span></dt><dd>filter_absorption_photometer</dd><dt><span>ebas_instrument_name :</span></dt><dd>GMD_CLAP-3W_BEO_NRT</dd><dt><span>ebas_instrument_manufacturer :</span></dt><dd>NOAA/ESRL/GMD</dd><dt><span>ebas_instrument_model :</span></dt><dd>CLAP-10</dd><dt><span>ebas_instrument_serial_number :</span></dt><dd>22</dd><dt><span>ebas_method_ref :</span></dt><dd>BG02L_abs_coef</dd><dt><span>ebas_standard_method :</span></dt><dd>None</dd><dt><span>ebas_inlet_type :</span></dt><dd>Hat or hood</dd><dt><span>ebas_volume_std_temperature :</span></dt><dd>273.15 K</dd><dt><span>ebas_volume_std_pressure :</span></dt><dd>1013.25 hPa</dd><dt><span>ebas_zero_negative_values_code :</span></dt><dd>Zero/negative possible</dd><dt><span>ebas_zero_negative_values :</span></dt><dd>Zero and neg. values may appear due to statistical variations at very low concentrations</dd><dt><span>ebas_organization :</span></dt><dd>BG02L, Name not reported, , , , , , , </dd><dt><span>ebas_framework_acronym :</span></dt><dd>ACTRIS_NRT, GAW-WDCA_NRT, NOAA-ESRL_NRT</dd><dt><span>ebas_framework_name :</span></dt><dd>Near Realtime Data for European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, Near Realtime Data for World Data Centre for Aerosols, </dd><dt><span>ebas_framework_description :</span></dt><dd>ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., </dd><dt><span>ebas_framework_contact_name :</span></dt><dd>Cathrine Lund Myhre, Markus Fiebig, Markus Fiebig</dd><dt><span>ebas_framework_contact_email :</span></dt><dd>clm@nilu.no, Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no</dd><dt><span>ebas_originator :</span></dt><dd>Kalapov, Ivo Emilov, , , , , , , , , </dd><dt><span>ebas_submitter :</span></dt><dd>Kalapov, Ivo Emilov, , , , , , , , , </dd><dt><span>ebas_acknowledgement :</span></dt><dd>Request acknowledgement details from data originator</dd></dl></div><div class='xr-var-data'><pre>[2057 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aerosol_absorption_coefficient_amean</span></div><div class='xr-var-dims'>(Wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c3cc5bbb-1233-4035-9477-65c3bef78e7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3cc5bbb-1233-4035-9477-65c3bef78e7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a2f3b1c-3317-4869-ab6b-a35d4b97df03' class='xr-var-data-in' type='checkbox'><label for='data-1a2f3b1c-3317-4869-ab6b-a35d4b97df03' 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>standard_name :</span></dt><dd>volume_absorption_coefficient_in_air_due_to_dried_aerosol_particles</dd><dt><span>units :</span></dt><dd>1/Mm</dd><dt><span>ancillary_variables :</span></dt><dd>aerosol_absorption_coefficient_amean_qc aerosol_absorption_coefficient_amean_ebasmetadata</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>ebas_data_license :</span></dt><dd>https://creativecommons.org/licenses/by/4.0/</dd><dt><span>ebas_revision_date :</span></dt><dd>20230625195845</dd><dt><span>ebas_version :</span></dt><dd>1</dd><dt><span>ebas_version_description :</span></dt><dd>Version numbering not tracked, generated by CPD3 EBAS Export v28-39-gfd238446-m run as da.output.upload (547592) run by aerosol on aeroproc.cmdl.noaa.gov via da.output.upload --profile=nrtfap</dd><dt><span>ebas_statistics :</span></dt><dd>arithmetic mean</dd><dt><span>ebas_data_level :</span></dt><dd>1.5</dd><dt><span>ebas_sample_duration :</span></dt><dd>1h</dd><dt><span>ebas_orig_time_res :</span></dt><dd>1mn</dd><dt><span>ebas_station_code :</span></dt><dd>BG0001R</dd><dt><span>ebas_platform_code :</span></dt><dd>BG0001S</dd><dt><span>ebas_station_name :</span></dt><dd>BEO Moussala</dd><dt><span>ebas_station_latitude :</span></dt><dd>42.166667</dd><dt><span>ebas_station_longitude :</span></dt><dd>23.583333</dd><dt><span>ebas_station_altitude :</span></dt><dd>2971.0 m</dd><dt><span>ebas_measuremenet_latitude :</span></dt><dd>42.179199</dd><dt><span>ebas_measurement_longitude :</span></dt><dd>23.5856</dd><dt><span>ebas_measurement_altitude :</span></dt><dd>2925.0 m</dd><dt><span>ebas_measurement_height :</span></dt><dd>10.0 m</dd><dt><span>ebas_regime :</span></dt><dd>IMG</dd><dt><span>ebas_component :</span></dt><dd>aerosol_absorption_coefficient</dd><dt><span>ebas_unit :</span></dt><dd>1/Mm</dd><dt><span>ebas_matrix :</span></dt><dd>aerosol</dd><dt><span>ebas_laboratory_code :</span></dt><dd>BG02L</dd><dt><span>ebas_instrument_type :</span></dt><dd>filter_absorption_photometer</dd><dt><span>ebas_instrument_name :</span></dt><dd>GMD_CLAP-3W_BEO_NRT</dd><dt><span>ebas_instrument_manufacturer :</span></dt><dd>NOAA/ESRL/GMD</dd><dt><span>ebas_instrument_model :</span></dt><dd>CLAP-10</dd><dt><span>ebas_instrument_serial_number :</span></dt><dd>22</dd><dt><span>ebas_method_ref :</span></dt><dd>BG02L_abs_coef</dd><dt><span>ebas_standard_method :</span></dt><dd>None</dd><dt><span>ebas_inlet_type :</span></dt><dd>Hat or hood</dd><dt><span>ebas_volume_std_temperature :</span></dt><dd>273.15 K</dd><dt><span>ebas_volume_std_pressure :</span></dt><dd>1013.25 hPa</dd><dt><span>ebas_zero_negative_values_code :</span></dt><dd>Zero/negative possible</dd><dt><span>ebas_zero_negative_values :</span></dt><dd>Zero and neg. values may appear due to statistical variations at very low concentrations</dd><dt><span>ebas_organization :</span></dt><dd>BG02L, Name not reported, , , , , , , </dd><dt><span>ebas_framework_acronym :</span></dt><dd>ACTRIS_NRT, GAW-WDCA_NRT, NOAA-ESRL_NRT</dd><dt><span>ebas_framework_name :</span></dt><dd>Near Realtime Data for European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, Near Realtime Data for World Data Centre for Aerosols, </dd><dt><span>ebas_framework_description :</span></dt><dd>ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., </dd><dt><span>ebas_framework_contact_name :</span></dt><dd>Cathrine Lund Myhre, Markus Fiebig, Markus Fiebig</dd><dt><span>ebas_framework_contact_email :</span></dt><dd>clm@nilu.no, Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no</dd><dt><span>ebas_originator :</span></dt><dd>Kalapov, Ivo Emilov, , , , , , , , , </dd><dt><span>ebas_submitter :</span></dt><dd>Kalapov, Ivo Emilov, , , , , , , , , </dd><dt><span>ebas_acknowledgement :</span></dt><dd>Request acknowledgement details from data originator</dd></dl></div><div class='xr-var-data'><pre>[6171 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aerosol_absorption_coefficient_prec1587</span></div><div class='xr-var-dims'>(Wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-80553df2-2dd4-499f-a563-0bb8d9bf3529' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80553df2-2dd4-499f-a563-0bb8d9bf3529' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9262d91c-e1a8-46a3-9e71-1b8303b04729' class='xr-var-data-in' type='checkbox'><label for='data-9262d91c-e1a8-46a3-9e71-1b8303b04729' 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>standard_name :</span></dt><dd>volume_absorption_coefficient_in_air_due_to_dried_aerosol_particles</dd><dt><span>units :</span></dt><dd>1/Mm</dd><dt><span>ancillary_variables :</span></dt><dd>aerosol_absorption_coefficient_prec1587_qc aerosol_absorption_coefficient_prec1587_ebasmetadata</dd><dt><span>cell_methods :</span></dt><dd>time: percentile:15.87</dd><dt><span>ebas_data_license :</span></dt><dd>https://creativecommons.org/licenses/by/4.0/</dd><dt><span>ebas_revision_date :</span></dt><dd>20230625195845</dd><dt><span>ebas_version :</span></dt><dd>1</dd><dt><span>ebas_version_description :</span></dt><dd>Version numbering not tracked, generated by CPD3 EBAS Export v28-39-gfd238446-m run as da.output.upload (547592) run by aerosol on aeroproc.cmdl.noaa.gov via da.output.upload --profile=nrtfap</dd><dt><span>ebas_statistics :</span></dt><dd>percentile:15.87</dd><dt><span>ebas_data_level :</span></dt><dd>1.5</dd><dt><span>ebas_sample_duration :</span></dt><dd>1h</dd><dt><span>ebas_orig_time_res :</span></dt><dd>1mn</dd><dt><span>ebas_station_code :</span></dt><dd>BG0001R</dd><dt><span>ebas_platform_code :</span></dt><dd>BG0001S</dd><dt><span>ebas_station_name :</span></dt><dd>BEO Moussala</dd><dt><span>ebas_station_latitude :</span></dt><dd>42.166667</dd><dt><span>ebas_station_longitude :</span></dt><dd>23.583333</dd><dt><span>ebas_station_altitude :</span></dt><dd>2971.0 m</dd><dt><span>ebas_measuremenet_latitude :</span></dt><dd>42.179199</dd><dt><span>ebas_measurement_longitude :</span></dt><dd>23.5856</dd><dt><span>ebas_measurement_altitude :</span></dt><dd>2925.0 m</dd><dt><span>ebas_measurement_height :</span></dt><dd>10.0 m</dd><dt><span>ebas_regime :</span></dt><dd>IMG</dd><dt><span>ebas_component :</span></dt><dd>aerosol_absorption_coefficient</dd><dt><span>ebas_unit :</span></dt><dd>1/Mm</dd><dt><span>ebas_matrix :</span></dt><dd>aerosol</dd><dt><span>ebas_laboratory_code :</span></dt><dd>BG02L</dd><dt><span>ebas_instrument_type :</span></dt><dd>filter_absorption_photometer</dd><dt><span>ebas_instrument_name :</span></dt><dd>GMD_CLAP-3W_BEO_NRT</dd><dt><span>ebas_instrument_manufacturer :</span></dt><dd>NOAA/ESRL/GMD</dd><dt><span>ebas_instrument_model :</span></dt><dd>CLAP-10</dd><dt><span>ebas_instrument_serial_number :</span></dt><dd>22</dd><dt><span>ebas_method_ref :</span></dt><dd>BG02L_abs_coef</dd><dt><span>ebas_standard_method :</span></dt><dd>None</dd><dt><span>ebas_inlet_type :</span></dt><dd>Hat or hood</dd><dt><span>ebas_volume_std_temperature :</span></dt><dd>273.15 K</dd><dt><span>ebas_volume_std_pressure :</span></dt><dd>1013.25 hPa</dd><dt><span>ebas_zero_negative_values_code :</span></dt><dd>Zero/negative possible</dd><dt><span>ebas_zero_negative_values :</span></dt><dd>Zero and neg. values may appear due to statistical variations at very low concentrations</dd><dt><span>ebas_organization :</span></dt><dd>BG02L, Name not reported, , , , , , , </dd><dt><span>ebas_framework_acronym :</span></dt><dd>ACTRIS_NRT, GAW-WDCA_NRT, NOAA-ESRL_NRT</dd><dt><span>ebas_framework_name :</span></dt><dd>Near Realtime Data for European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, Near Realtime Data for World Data Centre for Aerosols, </dd><dt><span>ebas_framework_description :</span></dt><dd>ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., </dd><dt><span>ebas_framework_contact_name :</span></dt><dd>Cathrine Lund Myhre, Markus Fiebig, Markus Fiebig</dd><dt><span>ebas_framework_contact_email :</span></dt><dd>clm@nilu.no, Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no</dd><dt><span>ebas_originator :</span></dt><dd>Kalapov, Ivo Emilov, , , , , , , , , </dd><dt><span>ebas_submitter :</span></dt><dd>Kalapov, Ivo Emilov, , , , , , , , , </dd><dt><span>ebas_acknowledgement :</span></dt><dd>Request acknowledgement details from data originator</dd></dl></div><div class='xr-var-data'><pre>[6171 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aerosol_absorption_coefficient_perc8413</span></div><div class='xr-var-dims'>(Wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-35b3727c-0f4e-45c0-8ef6-fec938a0023a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35b3727c-0f4e-45c0-8ef6-fec938a0023a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b93ac8a-c8d3-4e9e-af44-50cc0551e28e' class='xr-var-data-in' type='checkbox'><label for='data-4b93ac8a-c8d3-4e9e-af44-50cc0551e28e' 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>standard_name :</span></dt><dd>volume_absorption_coefficient_in_air_due_to_dried_aerosol_particles</dd><dt><span>units :</span></dt><dd>1/Mm</dd><dt><span>ancillary_variables :</span></dt><dd>aerosol_absorption_coefficient_perc8413_qc aerosol_absorption_coefficient_perc8413_ebasmetadata</dd><dt><span>cell_methods :</span></dt><dd>time: percentile:84.13</dd><dt><span>ebas_data_license :</span></dt><dd>https://creativecommons.org/licenses/by/4.0/</dd><dt><span>ebas_revision_date :</span></dt><dd>20230625195845</dd><dt><span>ebas_version :</span></dt><dd>1</dd><dt><span>ebas_version_description :</span></dt><dd>Version numbering not tracked, generated by CPD3 EBAS Export v28-39-gfd238446-m run as da.output.upload (547592) run by aerosol on aeroproc.cmdl.noaa.gov via da.output.upload --profile=nrtfap</dd><dt><span>ebas_statistics :</span></dt><dd>percentile:84.13</dd><dt><span>ebas_data_level :</span></dt><dd>1.5</dd><dt><span>ebas_sample_duration :</span></dt><dd>1h</dd><dt><span>ebas_orig_time_res :</span></dt><dd>1mn</dd><dt><span>ebas_station_code :</span></dt><dd>BG0001R</dd><dt><span>ebas_platform_code :</span></dt><dd>BG0001S</dd><dt><span>ebas_station_name :</span></dt><dd>BEO Moussala</dd><dt><span>ebas_station_latitude :</span></dt><dd>42.166667</dd><dt><span>ebas_station_longitude :</span></dt><dd>23.583333</dd><dt><span>ebas_station_altitude :</span></dt><dd>2971.0 m</dd><dt><span>ebas_measuremenet_latitude :</span></dt><dd>42.179199</dd><dt><span>ebas_measurement_longitude :</span></dt><dd>23.5856</dd><dt><span>ebas_measurement_altitude :</span></dt><dd>2925.0 m</dd><dt><span>ebas_measurement_height :</span></dt><dd>10.0 m</dd><dt><span>ebas_regime :</span></dt><dd>IMG</dd><dt><span>ebas_component :</span></dt><dd>aerosol_absorption_coefficient</dd><dt><span>ebas_unit :</span></dt><dd>1/Mm</dd><dt><span>ebas_matrix :</span></dt><dd>aerosol</dd><dt><span>ebas_laboratory_code :</span></dt><dd>BG02L</dd><dt><span>ebas_instrument_type :</span></dt><dd>filter_absorption_photometer</dd><dt><span>ebas_instrument_name :</span></dt><dd>GMD_CLAP-3W_BEO_NRT</dd><dt><span>ebas_instrument_manufacturer :</span></dt><dd>NOAA/ESRL/GMD</dd><dt><span>ebas_instrument_model :</span></dt><dd>CLAP-10</dd><dt><span>ebas_instrument_serial_number :</span></dt><dd>22</dd><dt><span>ebas_method_ref :</span></dt><dd>BG02L_abs_coef</dd><dt><span>ebas_standard_method :</span></dt><dd>None</dd><dt><span>ebas_inlet_type :</span></dt><dd>Hat or hood</dd><dt><span>ebas_volume_std_temperature :</span></dt><dd>273.15 K</dd><dt><span>ebas_volume_std_pressure :</span></dt><dd>1013.25 hPa</dd><dt><span>ebas_zero_negative_values_code :</span></dt><dd>Zero/negative possible</dd><dt><span>ebas_zero_negative_values :</span></dt><dd>Zero and neg. values may appear due to statistical variations at very low concentrations</dd><dt><span>ebas_organization :</span></dt><dd>BG02L, Name not reported, , , , , , , </dd><dt><span>ebas_framework_acronym :</span></dt><dd>ACTRIS_NRT, GAW-WDCA_NRT, NOAA-ESRL_NRT</dd><dt><span>ebas_framework_name :</span></dt><dd>Near Realtime Data for European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, Near Realtime Data for World Data Centre for Aerosols, </dd><dt><span>ebas_framework_description :</span></dt><dd>ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., </dd><dt><span>ebas_framework_contact_name :</span></dt><dd>Cathrine Lund Myhre, Markus Fiebig, Markus Fiebig</dd><dt><span>ebas_framework_contact_email :</span></dt><dd>clm@nilu.no, Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no</dd><dt><span>ebas_originator :</span></dt><dd>Kalapov, Ivo Emilov, , , , , , , , , </dd><dt><span>ebas_submitter :</span></dt><dd>Kalapov, Ivo Emilov, , , , , , , , , </dd><dt><span>ebas_acknowledgement :</span></dt><dd>Request acknowledgement details from data originator</dd></dl></div><div class='xr-var-data'><pre>[6171 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7c73bd8b-cc62-46b1-b327-045295f3a00f' class='xr-section-summary-in' type='checkbox' ><label for='section-7c73bd8b-cc62-46b1-b327-045295f3a00f' class='xr-section-summary' >Indexes: <span>(4)</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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7aeb5169-c045-4211-90df-dc0b23931f14' class='xr-index-data-in' type='checkbox'/><label for='index-7aeb5169-c045-4211-90df-dc0b23931f14' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex(['2023-03-25 23:30:00', '2023-03-26 00:30:00',\n",
" '2023-03-26 01:30:00', '2023-03-26 02:30:00',\n",
" '2023-03-26 03:30:00', '2023-03-26 04:30:00',\n",
" '2023-03-26 05:30:00', '2023-03-26 08:30:00',\n",
" '2023-03-26 09:30:00', '2023-03-26 10:30:00',\n",
" ...\n",
" '2023-06-25 06:30:00', '2023-06-25 07:30:00',\n",
" '2023-06-25 08:30:00', '2023-06-25 09:30:00',\n",
" '2023-06-25 10:30:00', '2023-06-25 11:30:00',\n",
" '2023-06-25 12:30:00', '2023-06-25 13:30:00',\n",
" '2023-06-25 14:30:00', '2023-06-25 15:30:00'],\n",
" dtype='datetime64[ns]', name='time', length=2057, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>metadata_time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cf8380ad-c99c-4be2-9d56-136ba8c0c8bd' class='xr-index-data-in' type='checkbox'/><label for='index-cf8380ad-c99c-4be2-9d56-136ba8c0c8bd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex(['2023-05-10 19:30:00'], dtype='datetime64[ns]', name='metadata_time', freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>Location</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3b5636f9-2493-45a5-becd-4c20392b19ae' class='xr-index-data-in' type='checkbox'/><label for='index-3b5636f9-2493-45a5-becd-4c20392b19ae' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([b'instrument internal'], dtype='object', name='Location'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>Wavelength</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d9430770-b2a8-44d8-88db-0a1c43c83c28' class='xr-index-data-in' type='checkbox'/><label for='index-d9430770-b2a8-44d8-88db-0a1c43c83c28' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([467.0, 528.0, 652.0], dtype='float64', name='Wavelength'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f2280c29-2695-4058-9091-cbc9ae3a45d5' class='xr-section-summary-in' type='checkbox' ><label for='section-f2280c29-2695-4058-9091-cbc9ae3a45d5' class='xr-section-summary' >Attributes: <span>(100)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.8, ACDD-1.3</dd><dt><span>featureType :</span></dt><dd>timeSeries</dd><dt><span>title :</span></dt><dd>Ground based in situ observations of filter_absorption_photometer at BEO Moussala (BG0001R)</dd><dt><span>keywords :</span></dt><dd>aerosol_absorption_coefficient, ACTRIS_NRT, BEO Moussala, BG0001R, GAW-WDCA_NRT, NOAA-ESRL_NRT, aerosol, volume_absorption_coefficient_in_air_due_to_dried_aerosol_particles</dd><dt><span>id :</span></dt><dd>BG0001R.20230325230000.20230625195845.filter_absorption_photometer..aerosol.3mo.1h.BG02L_GMD_CLAP-3W_BEO_NRT.BG02L_abs_coef.lev1.5.nc</dd><dt><span>naming_authority :</span></dt><dd>EBAS</dd><dt><span>project :</span></dt><dd>ACTRIS_NRT, GAW-WDCA_NRT, NOAA-ESRL_NRT</dd><dt><span>acknowledgement :</span></dt><dd>Request acknowledgement details from data originator</dd><dt><span>license :</span></dt><dd>https://creativecommons.org/licenses/by/4.0/</dd><dt><span>citation :</span></dt><dd>Ivo Emilov Kalapov, aerosol_absorption_coefficient - filter_absorption_photometer at BEO Moussala, data hosted by EBAS at NILU</dd><dt><span>summary :</span></dt><dd>Ground based in situ observations of filter_absorption_photometer at BEO Moussala (BG0001R). These measurements are gathered as a part of the following projects ACTRIS_NRT, GAW-WDCA_NRT, NOAA-ESRL_NRT and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_absorption_coefficient in aerosol (volume_absorption_coefficient_in_air_due_to_dried_aerosol_particles), aerosol_absorption_coefficient in aerosol (volume_absorption_coefficient_in_air_due_to_dried_aerosol_particles), aerosol_absorption_coefficient in aerosol (volume_absorption_coefficient_in_air_due_to_dried_aerosol_particles)</dd><dt><span>source :</span></dt><dd>surface observation</dd><dt><span>institution :</span></dt><dd>BG02L, Name not reported</dd><dt><span>processing_level :</span></dt><dd>processing_level_test</dd><dt><span>date_created :</span></dt><dd>2023-06-25T19:58:45 UTC</dd><dt><span>date_metadata_modified :</span></dt><dd>2023-06-25T19:58:45 UTC</dd><dt><span>creator_name :</span></dt><dd>Ivo Emilov Kalapov</dd><dt><span>creator_type :</span></dt><dd>person</dd><dt><span>creator_email :</span></dt><dd></dd><dt><span>creator_institution :</span></dt><dd></dd><dt><span>contributor_name :</span></dt><dd>Ivo Emilov Kalapov</dd><dt><span>contributor_role :</span></dt><dd>data submitter</dd><dt><span>publisher_type :</span></dt><dd>institution</dd><dt><span>publisher_name :</span></dt><dd>NILU - Norwegian Institute for Air Research, ATMOS, EBAS</dd><dt><span>publisher_institution :</span></dt><dd>NILU - Norwegian Institute for Air Research, ATMOS, EBAS</dd><dt><span>publisher_email :</span></dt><dd>ebas@nilu.no</dd><dt><span>publisher_url :</span></dt><dd>https://www.nilu.no/</dd><dt><span>geospatial_bounds :</span></dt><dd>POINT Z (42.179199 23.5856 2925.0)</dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:4979</dd><dt><span>geospatial_lat_min :</span></dt><dd>42.179199</dd><dt><span>geospatial_lat_max :</span></dt><dd>42.179199</dd><dt><span>geospatial_lon_min :</span></dt><dd>23.5856</dd><dt><span>geospatial_lon_max :</span></dt><dd>23.5856</dd><dt><span>geospatial_vertical_min :</span></dt><dd>2925.0</dd><dt><span>geospatial_vertical_max :</span></dt><dd>2925.0</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>up</dd><dt><span>time_coverage_start :</span></dt><dd>2023-03-25T23:00:00 UTC</dd><dt><span>time_coverage_end :</span></dt><dd>2023-06-25T16:00:00 UTC</dd><dt><span>time_coverage_duration :</span></dt><dd>P0000-02-30T17:00:00</dd><dt><span>time_coverage_resolution :</span></dt><dd>P0000-00-00T01:00:00</dd><dt><span>timezone :</span></dt><dd>UTC</dd><dt><span>ebas_data_definition :</span></dt><dd>EBAS_1.1</dd><dt><span>ebas_data_license :</span></dt><dd>https://creativecommons.org/licenses/by/4.0/</dd><dt><span>ebas_citation :</span></dt><dd>Ivo Emilov Kalapov, aerosol_absorption_coefficient - filter_absorption_photometer at BEO Moussala, data hosted by EBAS at NILU</dd><dt><span>ebas_set_type_code :</span></dt><dd>TI</dd><dt><span>ebas_timezone :</span></dt><dd>UTC</dd><dt><span>ebas_file_name :</span></dt><dd>BG0001R.20230325230000.20230625195845.filter_absorption_photometer..aerosol.3mo.1h.BG02L_GMD_CLAP-3W_BEO_NRT.BG02L_abs_coef.lev1.5.nc</dd><dt><span>ebas_file_creation :</span></dt><dd>2023-06-25T23:32:55.501864 UTC</dd><dt><span>ebas_export_state :</span></dt><dd>2023-06-25T23:25:04.050040 UTC</dd><dt><span>ebas_export_filter :</span></dt><dd>exclude-900,exclude-invalid</dd><dt><span>ebas_startdate :</span></dt><dd>20230325230000</dd><dt><span>ebas_revision_date :</span></dt><dd>20230625195845</dd><dt><span>ebas_version :</span></dt><dd>1</dd><dt><span>ebas_version_description :</span></dt><dd>Version numbering not tracked, generated by CPD3 EBAS Export v28-39-gfd238446-m run as da.output.upload (547592) run by aerosol on aeroproc.cmdl.noaa.gov via da.output.upload --profile=nrtfap</dd><dt><span>ebas_data_level :</span></dt><dd>1.5</dd><dt><span>ebas_period_code :</span></dt><dd>3mo</dd><dt><span>ebas_resolution_code :</span></dt><dd>1h</dd><dt><span>ebas_sample_duration :</span></dt><dd>1h</dd><dt><span>ebas_orig_time_res :</span></dt><dd>1mn</dd><dt><span>ebas_station_code :</span></dt><dd>BG0001R</dd><dt><span>ebas_platform_code :</span></dt><dd>BG0001S</dd><dt><span>ebas_station_name :</span></dt><dd>BEO Moussala</dd><dt><span>ebas_station_latitude :</span></dt><dd>42.166667</dd><dt><span>ebas_station_longitude :</span></dt><dd>23.583333</dd><dt><span>ebas_station_altitude :</span></dt><dd>2971.0 m</dd><dt><span>ebas_measuremenet_latitude :</span></dt><dd>42.179199</dd><dt><span>ebas_measurement_longitude :</span></dt><dd>23.5856</dd><dt><span>ebas_measurement_altitude :</span></dt><dd>2925.0 m</dd><dt><span>ebas_measurement_height :</span></dt><dd>10.0 m</dd><dt><span>ebas_regime :</span></dt><dd>IMG</dd><dt><span>ebas_matrix :</span></dt><dd>aerosol</dd><dt><span>ebas_laboratory_code :</span></dt><dd>BG02L</dd><dt><span>ebas_instrument_type :</span></dt><dd>filter_absorption_photometer</dd><dt><span>ebas_instrument_name :</span></dt><dd>GMD_CLAP-3W_BEO_NRT</dd><dt><span>ebas_instrument_manufacturer :</span></dt><dd>NOAA/ESRL/GMD</dd><dt><span>ebas_instrument_model :</span></dt><dd>CLAP-10</dd><dt><span>ebas_instrument_serial_number :</span></dt><dd>22</dd><dt><span>ebas_method_ref :</span></dt><dd>BG02L_abs_coef</dd><dt><span>ebas_standard_method :</span></dt><dd>None</dd><dt><span>ebas_inlet_type :</span></dt><dd>Hat or hood</dd><dt><span>ebas_volume_std_temperature :</span></dt><dd>273.15 K</dd><dt><span>ebas_volume_std_pressure :</span></dt><dd>1013.25 hPa</dd><dt><span>ebas_zero_negative_values_code :</span></dt><dd>Zero/negative possible</dd><dt><span>ebas_zero_negative_values :</span></dt><dd>Zero and neg. values may appear due to statistical variations at very low concentrations</dd><dt><span>ebas_organization :</span></dt><dd>BG02L, Name not reported, , , , , , , </dd><dt><span>ebas_framework_acronym :</span></dt><dd>ACTRIS_NRT, GAW-WDCA_NRT, NOAA-ESRL_NRT</dd><dt><span>ebas_framework_name :</span></dt><dd>Near Realtime Data for European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, Near Realtime Data for World Data Centre for Aerosols, </dd><dt><span>ebas_framework_description :</span></dt><dd>ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., </dd><dt><span>ebas_framework_contact_name :</span></dt><dd>Cathrine Lund Myhre, Markus Fiebig, Markus Fiebig</dd><dt><span>ebas_framework_contact_email :</span></dt><dd>clm@nilu.no, Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no</dd><dt><span>ebas_originator :</span></dt><dd>Kalapov, Ivo Emilov, , , , , , , , , </dd><dt><span>ebas_submitter :</span></dt><dd>Kalapov, Ivo Emilov, , , , , , , , , </dd><dt><span>ebas_acknowledgement :</span></dt><dd>Request acknowledgement details from data originator</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>comment :</span></dt><dd>{\n",
" "Data definition": "EBAS_1.1",\n",
" "Data license": "https://creativecommons.org/licenses/by/4.0/",\n",
" "Citation": "Ivo Emilov Kalapov, aerosol_absorption_coefficient - filter_absorption_photometer at BEO Moussala, data hosted by EBAS at NILU",\n",
" "Set type code": "TI",\n",
" "Timezone": "UTC",\n",
" "File name": "BG0001R.20230325230000.20230625195845.filter_absorption_photometer..aerosol.3mo.1h.BG02L_GMD_CLAP-3W_BEO_NRT.BG02L_abs_coef.lev1.5.nc",\n",
" "File creation": "2023-06-25T23:32:55.501864 UTC",\n",
" "Export state": "2023-06-25T23:25:04.050040 UTC",\n",
" "Export filter": "exclude-900,exclude-invalid",\n",
" "Startdate": "20230325230000",\n",
" "Revision date": "20230625195845",\n",
" "Version": "1",\n",
" "Version description": "Version numbering not tracked, generated by CPD3 EBAS Export v28-39-gfd238446-m run as da.output.upload (547592) run by aerosol on aeroproc.cmdl.noaa.gov via da.output.upload --profile=nrtfap",\n",
" "Data level": "1.5",\n",
" "Period code": "3mo",\n",
" "Resolution code": "1h",\n",
" "Sample duration": "1h",\n",
" "Orig. time res.": "1mn",\n",
" "Station code": "BG0001R",\n",
" "Platform code": "BG0001S",\n",
" "Station name": "BEO Moussala",\n",
" "Station latitude": "42.166667",\n",
" "Station longitude": "23.583333",\n",
" "Station altitude": "2971.0 m",\n",
" "Measurement latitude": "42.179199",\n",
" "Measurement longitude": "23.5856",\n",
" "Measurement altitude": "2925.0 m",\n",
" "Measurement height": "10.0 m",\n",
" "Regime": "IMG",\n",
" "Matrix": "aerosol",\n",
" "Laboratory code": "BG02L",\n",
" "Instrument type": "filter_absorption_photometer",\n",
" "Instrument name": "GMD_CLAP-3W_BEO_NRT",\n",
" "Instrument manufacturer": "NOAA/ESRL/GMD",\n",
" "Instrument model": "CLAP-10",\n",
" "Instrument serial number": "22",\n",
" "Method ref": "BG02L_abs_coef",\n",
" "Standard method": "None",\n",
" "Inlet type": "Hat or hood",\n",
" "Volume std. temperature": "273.15 K",\n",
" "Volume std. pressure": "1013.25 hPa",\n",
" "Zero/negative values code": "Zero/negative possible",\n",
" "Zero/negative values": "Zero and neg. values may appear due to statistical variations at very low concentrations",\n",
" "Organization": "BG02L, Name not reported, , , , , , , ",\n",
" "Framework acronym": "ACTRIS_NRT, GAW-WDCA_NRT, NOAA-ESRL_NRT",\n",
" "Framework name": "Near Realtime Data for European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, Near Realtime Data for World Data Centre for Aerosols, ",\n",
" "Framework description": "ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., ",\n",
" "Framework contact name": "Cathrine Lund Myhre, Markus Fiebig, Markus Fiebig",\n",
" "Framework contact email": "clm@nilu.no, Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no",\n",
" "Originator": "Kalapov, Ivo Emilov, , , , , , , , , ",\n",
" "Submitter": "Kalapov, Ivo Emilov, , , , , , , , , ",\n",
" "Acknowledgement": "Request acknowledgement details from data originator"\n",
"}</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF-1.7, ACDD-1.3</dd><dt><span>history :</span></dt><dd>None</dd><dt><span>creator_url :</span></dt><dd>ebas.nilu.no</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (time: 2057,\n",
" tbnds: 2,\n",
" metadata_time: 1,\n",
" Location: 1,\n",
" pressure_qc_flags: 2,\n",
" temperature_qc_flags: 1,\n",
" Wavelength: 3,\n",
" aerosol_absorption_coefficient_amean_qc_flags: 1,\n",
" aerosol_absorption_coefficient_prec1587_qc_flags: 1,\n",
" aerosol_absorption_coefficient_perc8413_qc_flags: 1)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] ...\n",
" * metadata_time (metadata_time) datetime64[ns] ...\n",
" * Location (Location) |S64 b'i...\n",
" * Wavelength (Wavelength) float64 ...\n",
"Dimensions without coordinates: tbnds, pressure_qc_flags, temperature_qc_flags,\n",
" aerosol_absorption_coefficient_amean_qc_flags,\n",
" aerosol_absorption_coefficient_prec1587_qc_flags,\n",
" aerosol_absorption_coefficient_perc8413_qc_flags\n",
"Data variables: (12/17)\n",
" time_bnds (time, tbnds) datetime64[ns] ...\n",
" metadata_time_bnds (metadata_time, tbnds) datetime64[ns] ...\n",
" pressure_qc (Location, pressure_qc_flags, time) float64 ...\n",
" pressure_ebasmetadata (Location, metadata_time) |S64 ...\n",
" temperature_qc (Location, temperature_qc_flags, time) float64 ...\n",
" temperature_ebasmetadata (Location, metadata_time) |S64 ...\n",
" ... ...\n",
" aerosol_absorption_coefficient_perc8413_ebasmetadata (Wavelength, metadata_time) |S64 ...\n",
" pressure (Location, time) float64 ...\n",
" temperature (Location, time) float64 ...\n",
" aerosol_absorption_coefficient_amean (Wavelength, time) float64 ...\n",
" aerosol_absorption_coefficient_prec1587 (Wavelength, time) float64 ...\n",
" aerosol_absorption_coefficient_perc8413 (Wavelength, time) float64 ...\n",
"Attributes: (12/100)\n",
" Conventions: CF-1.8, ACDD-1.3\n",
" featureType: timeSeries\n",
" title: Ground based in situ observations of fil...\n",
" keywords: aerosol_absorption_coefficient, ACTRIS_N...\n",
" id: BG0001R.20230325230000.20230625195845.fi...\n",
" naming_authority: EBAS\n",
" ... ...\n",
" geospatial_lat_units: degrees_north\n",
" geospatial_lon_units: degrees_east\n",
" comment: {\\n \"Data definition\": \"EBAS_1.1\",\\n ...\n",
" standard_name_vocabulary: CF-1.7, ACDD-1.3\n",
" history: None\n",
" creator_url: ebas.nilu.no"
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Open and show dataset with xarray \n",
"ds_xr = xr.open_dataset(opendap_url)\n",
"ds_xr"
]
},
{
"cell_type": "code",
"execution_count": 57,
"id": "229d66bf",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"652.0"
]
},
"execution_count": 57,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Calculate the closest wavelength to 637 nm. This is the wavelength used to calculate eBC.\n",
"given_wavelength = 637. \n",
"all_wavelengths = ds_xr.Wavelength.values\n",
"closest_wavelength = min(all_wavelengths, key=lambda x:abs(x-given_wavelength))\n",
"\n",
"closest_wavelength"
]
},
{
"cell_type": "code",
"execution_count": 58,
"id": "35555505",
"metadata": {
"scrolled": true
},
"outputs": [],
"source": [
"# Select data only at the closest wavelength to 637 nm. \n",
"ds_xr = ds_xr.sel(Wavelength=closest_wavelength)"
]
},
{
"cell_type": "code",
"execution_count": 59,
"id": "7c31564c",
"metadata": {},
"outputs": [
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"</style><pre class='xr-text-repr-fallback'><xarray.DataArray 'eBC' (time: 2057)>\n",
"array([0.2459414, 0.2055686, 0.1840971, ..., 0.2343101, 0.2080876,\n",
" 0.1461697])\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2023-03-25T23:30:00 ... 2023-06-25T15:3...\n",
" Wavelength float64 652.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'eBC'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2057</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-da1c6efb-87f8-4325-8813-602ee93b9a56' class='xr-array-in' type='checkbox' checked><label for='section-da1c6efb-87f8-4325-8813-602ee93b9a56' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.2459 0.2056 0.1841 0.1141 0.04667 ... 0.182 0.2343 0.2081 0.1462</span></div><div class='xr-array-data'><pre>array([0.2459414, 0.2055686, 0.1840971, ..., 0.2343101, 0.2080876,\n",
" 0.1461697])</pre></div></div></li><li class='xr-section-item'><input id='section-3a087d81-74d1-46cf-a3ed-f79f2e7d9c96' class='xr-section-summary-in' type='checkbox' checked><label for='section-3a087d81-74d1-46cf-a3ed-f79f2e7d9c96' class='xr-section-summary' >Coordinates: <span>(2)</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'>2023-03-25T23:30:00 ... 2023-06-...</div><input id='attrs-7a1b44e4-0e22-437b-a3fe-54573bf83f1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a1b44e4-0e22-437b-a3fe-54573bf83f1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe373377-d48f-4b7a-a616-a901f8df4e7a' class='xr-var-data-in' type='checkbox'><label for='data-fe373377-d48f-4b7a-a616-a901f8df4e7a' 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>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time of measurement</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array(['2023-03-25T23:30:00.000000000', '2023-03-26T00:30:00.000000000',\n",
" '2023-03-26T01:30:00.000000000', ..., '2023-06-25T13:30:00.000000000',\n",
" '2023-06-25T14:30:00.000000000', '2023-06-25T15:30:00.000000000'],\n",
" dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wavelength</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>652.0</div><input id='attrs-10812ad5-7e7d-4a0a-9fef-f057dec21966' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-10812ad5-7e7d-4a0a-9fef-f057dec21966' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9575423-472c-4b08-a921-60c018d8ca24' class='xr-var-data-in' type='checkbox'><label for='data-e9575423-472c-4b08-a921-60c018d8ca24' 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'></dl></div><div class='xr-var-data'><pre>array(652.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-420e9bfa-8611-4ab3-b18e-4a3a527179d4' class='xr-section-summary-in' type='checkbox' ><label for='section-420e9bfa-8611-4ab3-b18e-4a3a527179d4' class='xr-section-summary' >Indexes: <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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2da6e8e6-9688-4a27-be3d-bf3c9fe5979f' class='xr-index-data-in' type='checkbox'/><label for='index-2da6e8e6-9688-4a27-be3d-bf3c9fe5979f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex(['2023-03-25 23:30:00', '2023-03-26 00:30:00',\n",
" '2023-03-26 01:30:00', '2023-03-26 02:30:00',\n",
" '2023-03-26 03:30:00', '2023-03-26 04:30:00',\n",
" '2023-03-26 05:30:00', '2023-03-26 08:30:00',\n",
" '2023-03-26 09:30:00', '2023-03-26 10:30:00',\n",
" ...\n",
" '2023-06-25 06:30:00', '2023-06-25 07:30:00',\n",
" '2023-06-25 08:30:00', '2023-06-25 09:30:00',\n",
" '2023-06-25 10:30:00', '2023-06-25 11:30:00',\n",
" '2023-06-25 12:30:00', '2023-06-25 13:30:00',\n",
" '2023-06-25 14:30:00', '2023-06-25 15:30:00'],\n",
" dtype='datetime64[ns]', name='time', length=2057, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-56bc82fc-40de-4ca1-95e7-9dbc4a129f99' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-56bc82fc-40de-4ca1-95e7-9dbc4a129f99' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray 'eBC' (time: 2057)>\n",
"array([0.2459414, 0.2055686, 0.1840971, ..., 0.2343101, 0.2080876,\n",
" 0.1461697])\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2023-03-25T23:30:00 ... 2023-06-25T15:3...\n",
" Wavelength float64 652.0"
]
},
"execution_count": 59,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Calculate equivalent black carbon from aerosol absorption coefficient. \n",
"da_eBC = (ds_xr.aerosol_absorption_coefficient_amean/10).rename('eBC')\n",
"da_eBC"
]
},
{
"cell_type": "code",
"execution_count": 60,
"id": "a7f405f1",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "variable=eBC<br>time=%{x}<br>value=%{y}<extra></extra>",
"legendgroup": "eBC",
"line": {
"color": "#636efa",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "eBC",
"showlegend": true,
"type": "scattergl",
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],
"source": [
"# Convert xarray's DataArray to pandas DataFrame and plot data.\n",
"df_eBC = ds_eBC.to_dataframe()\n",
"\n",
"fig = px.line(df_eBC.eBC)\n",
"\n",
"\n",
"fig.update_layout(\n",
" title=\"{0}\".format(ds_xr.title),\n",
" xaxis_title=\"Time\",\n",
" yaxis_title=\"µg/m3 (equivalent black carbon)\",\n",
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" legend=dict(\n",
" title='Calculated at {0} nm:'.format(closest_wavelength)\n",
" )\n",
")\n",
"fig.show()"
]
},
{
"cell_type": "code",
"execution_count": 61,
"id": "8d6de3c9",
"metadata": {},
"outputs": [],
"source": [
"# resample to daily and monthly mean values\n",
"df_day = df_eBC.eBC.resample('D').mean()\n",
"df_month = df_eBC.eBC.resample('M').mean()"
]
},
{
"cell_type": "code",
"execution_count": 62,
"id": "fa40b1ac",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2023-06-25 00:00:00 , eBC = 0.148638 µg/m3\n"
]
}
],
"source": [
"daily_mean = df_day.iloc[-1:].to_dict()\n",
"\n",
"# create variables for daily mean\n",
"sample_date_daily_mean = list(daily_mean.keys())[0]\n",
"sample_value_daily_mean = round(list(daily_mean.values())[0],6)\n",
"print(sample_date_daily_mean,', eBC =', sample_value_daily_mean, 'µg/m3')"
]
},
{
"cell_type": "code",
"execution_count": 63,
"id": "ca577629",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"May , eBC = 0.089523 µg/m3\n"
]
}
],
"source": [
"monthly_mean = df_month.iloc[-2:-1].to_dict()\n",
"\n",
"# create variables for monthly mean\n",
"sample_date_monthly_mean = list(monthly_mean.keys())[0]\n",
"sample_value_monthly_mean = round(list(monthly_mean.values())[0],6)\n",
"print(sample_date_monthly_mean.month_name(),', eBC =', sample_value_monthly_mean, 'µg/m3')"
]
},
{
"cell_type": "code",
"execution_count": 69,
"id": "34d866c7",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"May\n",
"March - May , eBC = 0.080031 µg/m3\n"
]
}
],
"source": [
"last3months = statistics.mean(list(df_month.to_dict().values())[0:3])\n",
"\n",
"# create variables for daily mean\n",
"sample_date_last3months_mean = list(df_month.to_dict().keys())\n",
"sample_value_last3months_mean = round(last3months,6)\n",
"\n",
"sample_date_last3months_mean = \"{0} - {1}\".format(sample_date_last3months_mean[0].month_name(),sample_date_last3months_mean[2].month_name())\n",
"\n",
"print(sample_date_last3months_mean,', eBC =', sample_value_last3months_mean, 'µg/m3')"
]
},
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"cell_type": "code",
"execution_count": null,
"id": "ba4eefcb",
"metadata": {},
"outputs": [],
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