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{
"cells": [
{
"cell_type": "markdown",
"id": "2c239dd3",
"metadata": {},
"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": "98276969",
"metadata": {},
"source": [
"Some text explaining a bit about eBC, instruments and so on..\n",
"\n",
"Equivalent black carbon (eBC)\n",
"\n",
"A number of commercial instruments that measure the absorption coefficient of absorbing particles derive a mass concentration of “BC” using a conversion constant referred to as a mass absorption coefficient (MAC). In order to clarify that what is being measured may not be 100 % BC, Petzold et al. [6] recommend the use of eBC when reporting the carbon mass derived from the absorption coefficient.\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 86,
"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": "markdown",
"id": "338b9703",
"metadata": {},
"source": [
"### Access NRT filter absorption photometer data"
]
},
{
"cell_type": "code",
"execution_count": 108,
"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": 119,
"id": "f67e7d25",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'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'"
]
},
"execution_count": 119,
"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": 120,
"id": "8f397df0",
"metadata": {
"scrolled": true
},
"outputs": [
{
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".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
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"\n",
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"\n",
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".xr-var-item > .xr-var-name span {\n",
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"\n",
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"\n",
".xr-index-preview {\n",
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"\n",
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".xr-attrs dt {\n",
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"\n",
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".xr-index-data {\n",
" display: none;\n",
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"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
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"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
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"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
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"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
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" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
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"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
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" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n",
"Dimensions: (time: 2079,\n",
" tbnds: 2,\n",
" metadata_time: 1,\n",
" Location: 1,\n",
" pressure_qc_flags: 1,\n",
" temperature_qc_flags: 1,\n",
" Wavelength: 7,\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: (12/104)\n",
" Conventions: CF-1.8, ACDD-1.3\n",
" featureType: timeSeries\n",
" title: Ground based in situ obser...\n",
" keywords: IT0025U, pm10, ACTRIS_NRT,...\n",
" id: IT0025U.20230328140000.202...\n",
" naming_authority: EBAS\n",
" ... ...\n",
" geospatial_lat_units: degrees_north\n",
" geospatial_lon_units: degrees_east\n",
" comment: {\\n "Data definition": ...\n",
" 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-3983db29-c5cb-4203-b765-86796f2e33a2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3983db29-c5cb-4203-b765-86796f2e33a2' 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>: 2079</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>: 1</li><li><span>temperature_qc_flags</span>: 1</li><li><span class='xr-has-index'>Wavelength</span>: 7</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-2ceccea8-ffbd-446e-bc27-2c51cd63136b' class='xr-section-summary-in' type='checkbox' checked><label for='section-2ceccea8-ffbd-446e-bc27-2c51cd63136b' 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'>2023-03-28T14:30:00 ... 2023-06-...</div><input id='attrs-ced7ae0e-dc94-43d7-89ec-85873692faf3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ced7ae0e-dc94-43d7-89ec-85873692faf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd27c918-df67-4d50-9d78-479938d49865' class='xr-var-data-in' type='checkbox'><label for='data-fd27c918-df67-4d50-9d78-479938d49865' 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(['2023-03-28T14:30:00.000000000', '2023-03-28T15:30:00.000000000',\n",
" '2023-03-28T16:30:00.000000000', ..., '2023-06-27T02:30:00.000000000',\n",
" '2023-06-27T03:30:00.000000000', '2023-06-27T04:30:00.000000000'],\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'>2023-05-12T21:30:00</div><input id='attrs-2c6f3b74-fa76-4d7f-88c3-2b5eeea253c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c6f3b74-fa76-4d7f-88c3-2b5eeea253c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e3b4349-a338-4150-8a92-0a9db08a07eb' class='xr-var-data-in' type='checkbox'><label for='data-5e3b4349-a338-4150-8a92-0a9db08a07eb' 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(['2023-05-12T21:30:00.000000000'], 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-eafd5da0-3536-43ef-97b9-484618729e97' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eafd5da0-3536-43ef-97b9-484618729e97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ac5840e-edff-4e4f-bfe6-9a71ea99f36f' class='xr-var-data-in' type='checkbox'><label for='data-3ac5840e-edff-4e4f-bfe6-9a71ea99f36f' 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'>370.0 470.0 525.0 ... 880.0 950.0</div><input id='attrs-aeb2e149-9a9a-4656-bde2-6a2a7763d307' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aeb2e149-9a9a-4656-bde2-6a2a7763d307' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e0e5bda-f11f-41db-b72e-26e8a3c1efe0' class='xr-var-data-in' type='checkbox'><label for='data-0e0e5bda-f11f-41db-b72e-26e8a3c1efe0' 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([370., 470., 525., 590., 660., 880., 950.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-64f95a03-3669-4ca3-af5d-1b38b7378539' class='xr-section-summary-in' type='checkbox' ><label for='section-64f95a03-3669-4ca3-af5d-1b38b7378539' 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-5ee5b583-d25d-4a62-9af0-dee8d5265d19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ee5b583-d25d-4a62-9af0-dee8d5265d19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-583263cf-5705-4dd4-b520-5e3b24004f5f' class='xr-var-data-in' type='checkbox'><label for='data-583263cf-5705-4dd4-b520-5e3b24004f5f' 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>[4158 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-e678ee4b-0cfc-4817-8407-51badebd99c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e678ee4b-0cfc-4817-8407-51badebd99c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e58ac79-ee26-49aa-ade3-d3a878dba703' class='xr-var-data-in' type='checkbox'><label for='data-3e58ac79-ee26-49aa-ade3-d3a878dba703' 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-5514ddea-87f8-416e-9d62-2ade33a2f2d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5514ddea-87f8-416e-9d62-2ade33a2f2d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-805fd322-9697-46a0-8646-2796c53c76c8' class='xr-var-data-in' type='checkbox'><label for='data-805fd322-9697-46a0-8646-2796c53c76c8' 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>[2079 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-d4649fb8-275a-4933-be66-003a36edf147' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4649fb8-275a-4933-be66-003a36edf147' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb66e252-5e01-4913-8c3e-0c6c8095b874' class='xr-var-data-in' type='checkbox'><label for='data-cb66e252-5e01-4913-8c3e-0c6c8095b874' 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-3857d0f8-4eeb-42e2-aa35-9170f91623be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3857d0f8-4eeb-42e2-aa35-9170f91623be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a0a0277-d378-4caa-84a7-a290c516fc4b' class='xr-var-data-in' type='checkbox'><label for='data-0a0a0277-d378-4caa-84a7-a290c516fc4b' 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>[2079 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-919f7ba5-1e3c-4f68-8d44-13d73cda13ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-919f7ba5-1e3c-4f68-8d44-13d73cda13ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afd2e31d-5a09-438d-b91d-3bdb04cf5bc6' class='xr-var-data-in' type='checkbox'><label for='data-afd2e31d-5a09-438d-b91d-3bdb04cf5bc6' 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-8820306e-5180-430b-8230-630dd4d0ceda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8820306e-5180-430b-8230-630dd4d0ceda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c36af72a-768d-4cc6-82f5-cbd676d7d944' class='xr-var-data-in' type='checkbox'><label for='data-c36af72a-768d-4cc6-82f5-cbd676d7d944' 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>[14553 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-0d0c9b21-1e3e-4267-9631-418c5731b969' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d0c9b21-1e3e-4267-9631-418c5731b969' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e70dd877-4336-4084-8fc0-373df0aa6921' class='xr-var-data-in' type='checkbox'><label for='data-e70dd877-4336-4084-8fc0-373df0aa6921' 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>[7 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-a6f4bd6b-4548-4bee-8482-8465985b4f47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6f4bd6b-4548-4bee-8482-8465985b4f47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a96cb682-690c-47c2-b5ca-36ba2f28b2e1' class='xr-var-data-in' type='checkbox'><label for='data-a96cb682-690c-47c2-b5ca-36ba2f28b2e1' 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>[14553 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-27bda01c-fb11-4cc9-9bc5-dbea5ddb1be4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27bda01c-fb11-4cc9-9bc5-dbea5ddb1be4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64d621c3-8aed-4dac-aef4-dfd7cf48b513' class='xr-var-data-in' type='checkbox'><label for='data-64d621c3-8aed-4dac-aef4-dfd7cf48b513' 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>[7 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-04dbb749-076c-4588-966e-65858ebfb988' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04dbb749-076c-4588-966e-65858ebfb988' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81709556-f216-4313-85e1-3b430ef637f2' class='xr-var-data-in' type='checkbox'><label for='data-81709556-f216-4313-85e1-3b430ef637f2' 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>[14553 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-9cc0dace-8806-4ec9-99ca-e1846f772e13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cc0dace-8806-4ec9-99ca-e1846f772e13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1665b0b-b7d2-423a-8411-2451c9163cd5' class='xr-var-data-in' type='checkbox'><label for='data-d1665b0b-b7d2-423a-8411-2451c9163cd5' 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>[7 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-b35b5d6a-7844-4a9d-a437-f6ce22d754c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b35b5d6a-7844-4a9d-a437-f6ce22d754c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6661817-c635-46c1-bfe2-a7ebc6816c22' class='xr-var-data-in' type='checkbox'><label for='data-f6661817-c635-46c1-bfe2-a7ebc6816c22' 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>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>20230627050609</dd><dt><span>ebas_version :</span></dt><dd>1</dd><dt><span>ebas_version_description :</span></dt><dd>initial revision, TROPOS_AE33</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>IT0025U</dd><dt><span>ebas_platform_code :</span></dt><dd>IT0025S</dd><dt><span>ebas_station_name :</span></dt><dd>Milano Pascal</dd><dt><span>ebas_station_land_use :</span></dt><dd>Urban park</dd><dt><span>ebas_station_setting :</span></dt><dd>Urban and center city</dd><dt><span>ebas_station_latitude :</span></dt><dd>45.47834399224976</dd><dt><span>ebas_station_longitude :</span></dt><dd>9.231442643843154</dd><dt><span>ebas_station_altitude :</span></dt><dd>118.0 m</dd><dt><span>ebas_measurement_height :</span></dt><dd>4.0 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>instrument</dd><dt><span>ebas_laboratory_code :</span></dt><dd>IT06L</dd><dt><span>ebas_instrument_type :</span></dt><dd>filter_absorption_photometer</dd><dt><span>ebas_instrument_name :</span></dt><dd>Magee_AE33_MIL_NRT</dd><dt><span>ebas_instrument_manufacturer :</span></dt><dd>Magee</dd><dt><span>ebas_instrument_model :</span></dt><dd>AE33</dd><dt><span>ebas_instrument_serial_number :</span></dt><dd>AE33-S04-00384</dd><dt><span>ebas_method_ref :</span></dt><dd>IT06L_AE33</dd><dt><span>ebas_standard_method :</span></dt><dd>Single-angle_Correction=Drinovec2015</dd><dt><span>ebas_inlet_type :</span></dt><dd>Impactor--direct</dd><dt><span>ebas_inlet_description :</span></dt><dd>PM10</dd><dt><span>ebas_flow_rate :</span></dt><dd>4.0 l/min</dd><dt><span>ebas_humidity_temperaure_control :</span></dt><dd>Nafion dryer</dd><dt><span>ebas_humidity_temperaure_control_description :</span></dt><dd>sample dried to below 40% RH with Magee nafion dryer</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_measurement_uncertainty_expl :</span></dt><dd>typical value of unit-to-unit variability</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>IT06L, Institute of Atmospheric Sciences and Climate, CNR-ISAC, Section of Bologna, Via Gobetti 101, , 40129, Bologna, Italy</dd><dt><span>ebas_framework_acronym :</span></dt><dd>ACTRIS_NRT, GAW-WDCA_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</dd><dt><span>ebas_framework_contact_email :</span></dt><dd>clm@nilu.no, Markus.Fiebig@nilu.no</dd><dt><span>ebas_originator :</span></dt><dd>Calzolari, Francescopiero, f.calzolari@isac.cnr.it, Institute of Atmospheric Sciences and Climate, ISAC, Institute for Atmospheric and Climate Science, Via P. Gobetti 101, , I-40129, Bologna, Italy, ORCID=0000-0003-4535-9626</dd><dt><span>ebas_submitter :</span></dt><dd>Marinoni, Angela, a.marinoni@isac.cnr.it, Institute of Atmospheric Sciences and Climate, ISAC, , Via P. Gobetti 101, , I-40129, Bologna, Italy, ORCID=0000-0002-6580-7126</dd><dt><span>ebas_acknowledgement :</span></dt><dd>Request acknowledgement details from data originator</dd><dt><span>ebas_comment :</span></dt><dd>automatic data processing using 'ebasproc' R package. Performed processing: aggregation, setting of error flags</dd></dl></div><div class='xr-var-data'><pre>[2079 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-c4f8c937-1cde-4a96-8563-5dc0a67e0c4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4f8c937-1cde-4a96-8563-5dc0a67e0c4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1df196e-fd68-4ce0-a95a-72a388dff163' class='xr-var-data-in' type='checkbox'><label for='data-e1df196e-fd68-4ce0-a95a-72a388dff163' 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>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>20230627050609</dd><dt><span>ebas_version :</span></dt><dd>1</dd><dt><span>ebas_version_description :</span></dt><dd>initial revision, TROPOS_AE33</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>IT0025U</dd><dt><span>ebas_platform_code :</span></dt><dd>IT0025S</dd><dt><span>ebas_station_name :</span></dt><dd>Milano Pascal</dd><dt><span>ebas_station_land_use :</span></dt><dd>Urban park</dd><dt><span>ebas_station_setting :</span></dt><dd>Urban and center city</dd><dt><span>ebas_station_latitude :</span></dt><dd>45.47834399224976</dd><dt><span>ebas_station_longitude :</span></dt><dd>9.231442643843154</dd><dt><span>ebas_station_altitude :</span></dt><dd>118.0 m</dd><dt><span>ebas_measurement_height :</span></dt><dd>4.0 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>instrument</dd><dt><span>ebas_laboratory_code :</span></dt><dd>IT06L</dd><dt><span>ebas_instrument_type :</span></dt><dd>filter_absorption_photometer</dd><dt><span>ebas_instrument_name :</span></dt><dd>Magee_AE33_MIL_NRT</dd><dt><span>ebas_instrument_manufacturer :</span></dt><dd>Magee</dd><dt><span>ebas_instrument_model :</span></dt><dd>AE33</dd><dt><span>ebas_instrument_serial_number :</span></dt><dd>AE33-S04-00384</dd><dt><span>ebas_method_ref :</span></dt><dd>IT06L_AE33</dd><dt><span>ebas_standard_method :</span></dt><dd>Single-angle_Correction=Drinovec2015</dd><dt><span>ebas_inlet_type :</span></dt><dd>Impactor--direct</dd><dt><span>ebas_inlet_description :</span></dt><dd>PM10</dd><dt><span>ebas_flow_rate :</span></dt><dd>4.0 l/min</dd><dt><span>ebas_humidity_temperaure_control :</span></dt><dd>Nafion dryer</dd><dt><span>ebas_humidity_temperaure_control_description :</span></dt><dd>sample dried to below 40% RH with Magee nafion dryer</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_measurement_uncertainty_expl :</span></dt><dd>typical value of unit-to-unit variability</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>IT06L, Institute of Atmospheric Sciences and Climate, CNR-ISAC, Section of Bologna, Via Gobetti 101, , 40129, Bologna, Italy</dd><dt><span>ebas_framework_acronym :</span></dt><dd>ACTRIS_NRT, GAW-WDCA_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</dd><dt><span>ebas_framework_contact_email :</span></dt><dd>clm@nilu.no, Markus.Fiebig@nilu.no</dd><dt><span>ebas_originator :</span></dt><dd>Calzolari, Francescopiero, f.calzolari@isac.cnr.it, Institute of Atmospheric Sciences and Climate, ISAC, Institute for Atmospheric and Climate Science, Via P. Gobetti 101, , I-40129, Bologna, Italy, ORCID=0000-0003-4535-9626</dd><dt><span>ebas_submitter :</span></dt><dd>Marinoni, Angela, a.marinoni@isac.cnr.it, Institute of Atmospheric Sciences and Climate, ISAC, , Via P. Gobetti 101, , I-40129, Bologna, Italy, ORCID=0000-0002-6580-7126</dd><dt><span>ebas_acknowledgement :</span></dt><dd>Request acknowledgement details from data originator</dd><dt><span>ebas_comment :</span></dt><dd>automatic data processing using 'ebasproc' R package. Performed processing: aggregation, setting of error flags</dd></dl></div><div class='xr-var-data'><pre>[2079 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-f3d06a0d-aff1-46f9-ba42-254fac2f7a8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3d06a0d-aff1-46f9-ba42-254fac2f7a8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d16e97b-5f72-4468-bb1e-bd83b80f06a0' class='xr-var-data-in' type='checkbox'><label for='data-4d16e97b-5f72-4468-bb1e-bd83b80f06a0' 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>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>20230627050609</dd><dt><span>ebas_version :</span></dt><dd>1</dd><dt><span>ebas_version_description :</span></dt><dd>initial revision, TROPOS_AE33</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>IT0025U</dd><dt><span>ebas_platform_code :</span></dt><dd>IT0025S</dd><dt><span>ebas_station_name :</span></dt><dd>Milano Pascal</dd><dt><span>ebas_station_land_use :</span></dt><dd>Urban park</dd><dt><span>ebas_station_setting :</span></dt><dd>Urban and center city</dd><dt><span>ebas_station_latitude :</span></dt><dd>45.47834399224976</dd><dt><span>ebas_station_longitude :</span></dt><dd>9.231442643843154</dd><dt><span>ebas_station_altitude :</span></dt><dd>118.0 m</dd><dt><span>ebas_measurement_height :</span></dt><dd>4.0 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>pm10</dd><dt><span>ebas_laboratory_code :</span></dt><dd>IT06L</dd><dt><span>ebas_instrument_type :</span></dt><dd>filter_absorption_photometer</dd><dt><span>ebas_instrument_name :</span></dt><dd>Magee_AE33_MIL_NRT</dd><dt><span>ebas_instrument_manufacturer :</span></dt><dd>Magee</dd><dt><span>ebas_instrument_model :</span></dt><dd>AE33</dd><dt><span>ebas_instrument_serial_number :</span></dt><dd>AE33-S04-00384</dd><dt><span>ebas_method_ref :</span></dt><dd>IT06L_AE33</dd><dt><span>ebas_standard_method :</span></dt><dd>Single-angle_Correction=Drinovec2015</dd><dt><span>ebas_inlet_type :</span></dt><dd>Impactor--direct</dd><dt><span>ebas_inlet_description :</span></dt><dd>PM10</dd><dt><span>ebas_flow_rate :</span></dt><dd>4.0 l/min</dd><dt><span>ebas_humidity_temperaure_control :</span></dt><dd>Nafion dryer</dd><dt><span>ebas_humidity_temperaure_control_description :</span></dt><dd>sample dried to below 40% RH with Magee nafion dryer</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_measurement_uncertainty_expl :</span></dt><dd>typical value of unit-to-unit variability</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>IT06L, Institute of Atmospheric Sciences and Climate, CNR-ISAC, Section of Bologna, Via Gobetti 101, , 40129, Bologna, Italy</dd><dt><span>ebas_framework_acronym :</span></dt><dd>ACTRIS_NRT, GAW-WDCA_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</dd><dt><span>ebas_framework_contact_email :</span></dt><dd>clm@nilu.no, Markus.Fiebig@nilu.no</dd><dt><span>ebas_originator :</span></dt><dd>Calzolari, Francescopiero, f.calzolari@isac.cnr.it, Institute of Atmospheric Sciences and Climate, ISAC, Institute for Atmospheric and Climate Science, Via P. Gobetti 101, , I-40129, Bologna, Italy, ORCID=0000-0003-4535-9626</dd><dt><span>ebas_submitter :</span></dt><dd>Marinoni, Angela, a.marinoni@isac.cnr.it, Institute of Atmospheric Sciences and Climate, ISAC, , Via P. Gobetti 101, , I-40129, Bologna, Italy, ORCID=0000-0002-6580-7126</dd><dt><span>ebas_acknowledgement :</span></dt><dd>Request acknowledgement details from data originator</dd><dt><span>ebas_comment :</span></dt><dd>automatic data processing using 'ebasproc' R package. Performed processing: aggregation, setting of error flags</dd></dl></div><div class='xr-var-data'><pre>[14553 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-af7f21c0-1b3e-41b4-adf8-4c26d0f223e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af7f21c0-1b3e-41b4-adf8-4c26d0f223e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72d3f7a9-cf5f-4734-963f-647855705659' class='xr-var-data-in' type='checkbox'><label for='data-72d3f7a9-cf5f-4734-963f-647855705659' 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>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>20230627050609</dd><dt><span>ebas_version :</span></dt><dd>1</dd><dt><span>ebas_version_description :</span></dt><dd>initial revision, TROPOS_AE33</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>IT0025U</dd><dt><span>ebas_platform_code :</span></dt><dd>IT0025S</dd><dt><span>ebas_station_name :</span></dt><dd>Milano Pascal</dd><dt><span>ebas_station_land_use :</span></dt><dd>Urban park</dd><dt><span>ebas_station_setting :</span></dt><dd>Urban and center city</dd><dt><span>ebas_station_latitude :</span></dt><dd>45.47834399224976</dd><dt><span>ebas_station_longitude :</span></dt><dd>9.231442643843154</dd><dt><span>ebas_station_altitude :</span></dt><dd>118.0 m</dd><dt><span>ebas_measurement_height :</span></dt><dd>4.0 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>pm10</dd><dt><span>ebas_laboratory_code :</span></dt><dd>IT06L</dd><dt><span>ebas_instrument_type :</span></dt><dd>filter_absorption_photometer</dd><dt><span>ebas_instrument_name :</span></dt><dd>Magee_AE33_MIL_NRT</dd><dt><span>ebas_instrument_manufacturer :</span></dt><dd>Magee</dd><dt><span>ebas_instrument_model :</span></dt><dd>AE33</dd><dt><span>ebas_instrument_serial_number :</span></dt><dd>AE33-S04-00384</dd><dt><span>ebas_method_ref :</span></dt><dd>IT06L_AE33</dd><dt><span>ebas_standard_method :</span></dt><dd>Single-angle_Correction=Drinovec2015</dd><dt><span>ebas_inlet_type :</span></dt><dd>Impactor--direct</dd><dt><span>ebas_inlet_description :</span></dt><dd>PM10</dd><dt><span>ebas_flow_rate :</span></dt><dd>4.0 l/min</dd><dt><span>ebas_humidity_temperaure_control :</span></dt><dd>Nafion dryer</dd><dt><span>ebas_humidity_temperaure_control_description :</span></dt><dd>sample dried to below 40% RH with Magee nafion dryer</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_measurement_uncertainty_expl :</span></dt><dd>typical value of unit-to-unit variability</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>IT06L, Institute of Atmospheric Sciences and Climate, CNR-ISAC, Section of Bologna, Via Gobetti 101, , 40129, Bologna, Italy</dd><dt><span>ebas_framework_acronym :</span></dt><dd>ACTRIS_NRT, GAW-WDCA_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</dd><dt><span>ebas_framework_contact_email :</span></dt><dd>clm@nilu.no, Markus.Fiebig@nilu.no</dd><dt><span>ebas_originator :</span></dt><dd>Calzolari, Francescopiero, f.calzolari@isac.cnr.it, Institute of Atmospheric Sciences and Climate, ISAC, Institute for Atmospheric and Climate Science, Via P. Gobetti 101, , I-40129, Bologna, Italy, ORCID=0000-0003-4535-9626</dd><dt><span>ebas_submitter :</span></dt><dd>Marinoni, Angela, a.marinoni@isac.cnr.it, Institute of Atmospheric Sciences and Climate, ISAC, , Via P. Gobetti 101, , I-40129, Bologna, Italy, ORCID=0000-0002-6580-7126</dd><dt><span>ebas_acknowledgement :</span></dt><dd>Request acknowledgement details from data originator</dd><dt><span>ebas_comment :</span></dt><dd>automatic data processing using 'ebasproc' R package. Performed processing: aggregation, setting of error flags</dd></dl></div><div class='xr-var-data'><pre>[14553 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-4031205c-dcf1-4839-ae3f-ffdb626d4e16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4031205c-dcf1-4839-ae3f-ffdb626d4e16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9eb06ec3-c310-49ad-abbb-c66aa2a932ca' class='xr-var-data-in' type='checkbox'><label for='data-9eb06ec3-c310-49ad-abbb-c66aa2a932ca' 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>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>20230627050609</dd><dt><span>ebas_version :</span></dt><dd>1</dd><dt><span>ebas_version_description :</span></dt><dd>initial revision, TROPOS_AE33</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>IT0025U</dd><dt><span>ebas_platform_code :</span></dt><dd>IT0025S</dd><dt><span>ebas_station_name :</span></dt><dd>Milano Pascal</dd><dt><span>ebas_station_land_use :</span></dt><dd>Urban park</dd><dt><span>ebas_station_setting :</span></dt><dd>Urban and center city</dd><dt><span>ebas_station_latitude :</span></dt><dd>45.47834399224976</dd><dt><span>ebas_station_longitude :</span></dt><dd>9.231442643843154</dd><dt><span>ebas_station_altitude :</span></dt><dd>118.0 m</dd><dt><span>ebas_measurement_height :</span></dt><dd>4.0 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>pm10</dd><dt><span>ebas_laboratory_code :</span></dt><dd>IT06L</dd><dt><span>ebas_instrument_type :</span></dt><dd>filter_absorption_photometer</dd><dt><span>ebas_instrument_name :</span></dt><dd>Magee_AE33_MIL_NRT</dd><dt><span>ebas_instrument_manufacturer :</span></dt><dd>Magee</dd><dt><span>ebas_instrument_model :</span></dt><dd>AE33</dd><dt><span>ebas_instrument_serial_number :</span></dt><dd>AE33-S04-00384</dd><dt><span>ebas_method_ref :</span></dt><dd>IT06L_AE33</dd><dt><span>ebas_standard_method :</span></dt><dd>Single-angle_Correction=Drinovec2015</dd><dt><span>ebas_inlet_type :</span></dt><dd>Impactor--direct</dd><dt><span>ebas_inlet_description :</span></dt><dd>PM10</dd><dt><span>ebas_flow_rate :</span></dt><dd>4.0 l/min</dd><dt><span>ebas_humidity_temperaure_control :</span></dt><dd>Nafion dryer</dd><dt><span>ebas_humidity_temperaure_control_description :</span></dt><dd>sample dried to below 40% RH with Magee nafion dryer</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_measurement_uncertainty_expl :</span></dt><dd>typical value of unit-to-unit variability</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>IT06L, Institute of Atmospheric Sciences and Climate, CNR-ISAC, Section of Bologna, Via Gobetti 101, , 40129, Bologna, Italy</dd><dt><span>ebas_framework_acronym :</span></dt><dd>ACTRIS_NRT, GAW-WDCA_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</dd><dt><span>ebas_framework_contact_email :</span></dt><dd>clm@nilu.no, Markus.Fiebig@nilu.no</dd><dt><span>ebas_originator :</span></dt><dd>Calzolari, Francescopiero, f.calzolari@isac.cnr.it, Institute of Atmospheric Sciences and Climate, ISAC, Institute for Atmospheric and Climate Science, Via P. Gobetti 101, , I-40129, Bologna, Italy, ORCID=0000-0003-4535-9626</dd><dt><span>ebas_submitter :</span></dt><dd>Marinoni, Angela, a.marinoni@isac.cnr.it, Institute of Atmospheric Sciences and Climate, ISAC, , Via P. Gobetti 101, , I-40129, Bologna, Italy, ORCID=0000-0002-6580-7126</dd><dt><span>ebas_acknowledgement :</span></dt><dd>Request acknowledgement details from data originator</dd><dt><span>ebas_comment :</span></dt><dd>automatic data processing using 'ebasproc' R package. Performed processing: aggregation, setting of error flags</dd></dl></div><div class='xr-var-data'><pre>[14553 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-109ccd9a-1f47-4bad-ac36-52fcbc568bee' class='xr-section-summary-in' type='checkbox' ><label for='section-109ccd9a-1f47-4bad-ac36-52fcbc568bee' 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-899555ae-3292-45e2-a34d-3119a99c5664' class='xr-index-data-in' type='checkbox'/><label for='index-899555ae-3292-45e2-a34d-3119a99c5664' 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(['2023-03-28 14:30:00', '2023-03-28 15:30:00',\n",
" '2023-03-28 16:30:00', '2023-03-28 17:30:00',\n",
" '2023-03-28 18:30:00', '2023-03-28 19:30:00',\n",
" '2023-03-28 20:30:00', '2023-03-28 21:30:00',\n",
" '2023-03-28 22:30:00', '2023-03-28 23:30:00',\n",
" ...\n",
" '2023-06-26 18:30:00', '2023-06-26 19:30:00',\n",
" '2023-06-26 20:30:00', '2023-06-26 21:30:00',\n",
" '2023-06-26 22:30:00', '2023-06-26 23:30:00',\n",
" '2023-06-27 00:30:00', '2023-06-27 02:30:00',\n",
" '2023-06-27 03:30:00', '2023-06-27 04:30:00'],\n",
" dtype='datetime64[ns]', name='time', length=2079, 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-972c653d-ea89-4ace-b128-db009183db7b' class='xr-index-data-in' type='checkbox'/><label for='index-972c653d-ea89-4ace-b128-db009183db7b' 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(['2023-05-12 21:30:00'], 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-7445166d-1f82-4461-ba70-de5210aba262' class='xr-index-data-in' type='checkbox'/><label for='index-7445166d-1f82-4461-ba70-de5210aba262' 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-090c4e77-25f6-4489-ba54-dbe23be0ef3b' class='xr-index-data-in' type='checkbox'/><label for='index-090c4e77-25f6-4489-ba54-dbe23be0ef3b' 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([370.0, 470.0, 525.0, 590.0, 660.0, 880.0, 950.0], dtype='float64', name='Wavelength'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d0537d36-65da-4d9d-b5d7-d7c602d64bb0' class='xr-section-summary-in' type='checkbox' ><label for='section-d0537d36-65da-4d9d-b5d7-d7c602d64bb0' class='xr-section-summary' >Attributes: <span>(104)</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 Milano Pascal (IT0025U)</dd><dt><span>keywords :</span></dt><dd>IT0025U, pm10, ACTRIS_NRT, GAW-WDCA_NRT, aerosol_absorption_coefficient, Milano Pascal</dd><dt><span>id :</span></dt><dd>IT0025U.20230328140000.20230627050609.filter_absorption_photometer...13w.1h.IT06L_Magee_AE33_MIL_NRT.IT06L_AE33.lev1.5.nc</dd><dt><span>naming_authority :</span></dt><dd>EBAS</dd><dt><span>project :</span></dt><dd>ACTRIS_NRT, GAW-WDCA_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>Angela Marinoni, Cecilia Magnani, Martina Mazzini, Francescopiero Calzolari, aerosol_absorption_coefficient - filter_absorption_photometer at Milano Pascal, data hosted by EBAS at NILU</dd><dt><span>summary :</span></dt><dd>Ground based in situ observations of filter_absorption_photometer at Milano Pascal (IT0025U). These measurements are gathered as a part of the following projects ACTRIS_NRT, GAW-WDCA_NRT and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_absorption_coefficient in pm10, aerosol_absorption_coefficient in pm10, aerosol_absorption_coefficient in pm10</dd><dt><span>source :</span></dt><dd>surface observation</dd><dt><span>institution :</span></dt><dd>IT06L, Institute of Atmospheric Sciences and Climate, CNR-ISAC, Section of Bologna, Via Gobetti 101, 40129, Bologna, Italy</dd><dt><span>processing_level :</span></dt><dd>processing_level_test</dd><dt><span>date_created :</span></dt><dd>2023-06-27T05:06:09 UTC</dd><dt><span>date_metadata_modified :</span></dt><dd>2023-06-27T05:06:09 UTC</dd><dt><span>creator_name :</span></dt><dd>Angela Marinoni, Cecilia Magnani, Martina Mazzini, Francescopiero Calzolari</dd><dt><span>creator_type :</span></dt><dd>person</dd><dt><span>creator_email :</span></dt><dd>a.marinoni@isac.cnr.it, c.magnani@isac.cnr.it, m.mazzini@isac.cnr.it, f.calzolari@isac.cnr.it</dd><dt><span>creator_institution :</span></dt><dd>"Institute of Atmospheric Sciences and Climate, ISAC", "Institute of Atmospheric Sciences and Climate, ISAC", "Institute of Atmospheric Sciences and Climate, ISAC", "Institute of Atmospheric Sciences and Climate, Institute for Atmospheric and Climate Science, ISAC"</dd><dt><span>contributor_name :</span></dt><dd>Angela Marinoni</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 (45.47834399224976 9.231442643843154 118.0)</dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:4979</dd><dt><span>geospatial_lat_min :</span></dt><dd>45.47834399224976</dd><dt><span>geospatial_lat_max :</span></dt><dd>45.47834399224976</dd><dt><span>geospatial_lon_min :</span></dt><dd>9.231442643843154</dd><dt><span>geospatial_lon_max :</span></dt><dd>9.231442643843154</dd><dt><span>geospatial_vertical_min :</span></dt><dd>118.0</dd><dt><span>geospatial_vertical_max :</span></dt><dd>118.0</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>up</dd><dt><span>time_coverage_start :</span></dt><dd>2023-03-28T14:00:00 UTC</dd><dt><span>time_coverage_end :</span></dt><dd>2023-06-27T05:00:00 UTC</dd><dt><span>time_coverage_duration :</span></dt><dd>P0000-02-29T15:00:00</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>Angela Marinoni, Cecilia Magnani, Martina Mazzini, Francescopiero Calzolari, aerosol_absorption_coefficient - filter_absorption_photometer at Milano Pascal, 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>IT0025U.20230328140000.20230627050609.filter_absorption_photometer...13w.1h.IT06L_Magee_AE33_MIL_NRT.IT06L_AE33.lev1.5.nc</dd><dt><span>ebas_file_creation :</span></dt><dd>2023-06-27T06:11:19.108269 UTC</dd><dt><span>ebas_export_state :</span></dt><dd>2023-06-27T05:25:04.070460 UTC</dd><dt><span>ebas_export_filter :</span></dt><dd>exclude-900,exclude-invalid</dd><dt><span>ebas_startdate :</span></dt><dd>20230328140000</dd><dt><span>ebas_revision_date :</span></dt><dd>20230627050609</dd><dt><span>ebas_version :</span></dt><dd>1</dd><dt><span>ebas_version_description :</span></dt><dd>initial revision, TROPOS_AE33</dd><dt><span>ebas_data_level :</span></dt><dd>1.5</dd><dt><span>ebas_period_code :</span></dt><dd>13w</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>IT0025U</dd><dt><span>ebas_platform_code :</span></dt><dd>IT0025S</dd><dt><span>ebas_station_name :</span></dt><dd>Milano Pascal</dd><dt><span>ebas_station_land_use :</span></dt><dd>Urban park</dd><dt><span>ebas_station_setting :</span></dt><dd>Urban and center city</dd><dt><span>ebas_station_latitude :</span></dt><dd>45.47834399224976</dd><dt><span>ebas_station_longitude :</span></dt><dd>9.231442643843154</dd><dt><span>ebas_station_altitude :</span></dt><dd>118.0 m</dd><dt><span>ebas_measurement_height :</span></dt><dd>4.0 m</dd><dt><span>ebas_regime :</span></dt><dd>IMG</dd><dt><span>ebas_laboratory_code :</span></dt><dd>IT06L</dd><dt><span>ebas_instrument_type :</span></dt><dd>filter_absorption_photometer</dd><dt><span>ebas_instrument_name :</span></dt><dd>Magee_AE33_MIL_NRT</dd><dt><span>ebas_instrument_manufacturer :</span></dt><dd>Magee</dd><dt><span>ebas_instrument_model :</span></dt><dd>AE33</dd><dt><span>ebas_instrument_serial_number :</span></dt><dd>AE33-S04-00384</dd><dt><span>ebas_method_ref :</span></dt><dd>IT06L_AE33</dd><dt><span>ebas_standard_method :</span></dt><dd>Single-angle_Correction=Drinovec2015</dd><dt><span>ebas_inlet_type :</span></dt><dd>Impactor--direct</dd><dt><span>ebas_inlet_description :</span></dt><dd>PM10</dd><dt><span>ebas_flow_rate :</span></dt><dd>4.0 l/min</dd><dt><span>ebas_humidity_temperaure_control :</span></dt><dd>Nafion dryer</dd><dt><span>ebas_humidity_temperaure_control_description :</span></dt><dd>sample dried to below 40% RH with Magee nafion dryer</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_measurement_uncertainty_expl :</span></dt><dd>typical value of unit-to-unit variability</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>IT06L, Institute of Atmospheric Sciences and Climate, CNR-ISAC, Section of Bologna, Via Gobetti 101, , 40129, Bologna, Italy</dd><dt><span>ebas_framework_acronym :</span></dt><dd>ACTRIS_NRT, GAW-WDCA_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</dd><dt><span>ebas_framework_contact_email :</span></dt><dd>clm@nilu.no, Markus.Fiebig@nilu.no</dd><dt><span>ebas_originator :</span></dt><dd>Calzolari, Francescopiero, f.calzolari@isac.cnr.it, Institute of Atmospheric Sciences and Climate, ISAC, Institute for Atmospheric and Climate Science, Via P. Gobetti 101, , I-40129, Bologna, Italy, ORCID=0000-0003-4535-9626</dd><dt><span>ebas_submitter :</span></dt><dd>Marinoni, Angela, a.marinoni@isac.cnr.it, Institute of Atmospheric Sciences and Climate, ISAC, , Via P. Gobetti 101, , I-40129, Bologna, Italy, ORCID=0000-0002-6580-7126</dd><dt><span>ebas_acknowledgement :</span></dt><dd>Request acknowledgement details from data originator</dd><dt><span>ebas_comment :</span></dt><dd>automatic data processing using 'ebasproc' R package. Performed processing: aggregation, setting of error flags</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": "Angela Marinoni, Cecilia Magnani, Martina Mazzini, Francescopiero Calzolari, aerosol_absorption_coefficient - filter_absorption_photometer at Milano Pascal, data hosted by EBAS at NILU",\n",
" "Set type code": "TI",\n",
" "Timezone": "UTC",\n",
" "File name": "IT0025U.20230328140000.20230627050609.filter_absorption_photometer...13w.1h.IT06L_Magee_AE33_MIL_NRT.IT06L_AE33.lev1.5.nc",\n",
" "File creation": "2023-06-27T06:11:19.108269 UTC",\n",
" "Export state": "2023-06-27T05:25:04.070460 UTC",\n",
" "Export filter": "exclude-900,exclude-invalid",\n",
" "Startdate": "20230328140000",\n",
" "Revision date": "20230627050609",\n",
" "Version": "1",\n",
" "Version description": "initial revision, TROPOS_AE33",\n",
" "Data level": "1.5",\n",
" "Period code": "13w",\n",
" "Resolution code": "1h",\n",
" "Sample duration": "1h",\n",
" "Orig. time res.": "1mn",\n",
" "Station code": "IT0025U",\n",
" "Platform code": "IT0025S",\n",
" "Station name": "Milano Pascal",\n",
" "Station land use": "Urban park",\n",
" "Station setting": "Urban and center city",\n",
" "Station latitude": "45.47834399224976",\n",
" "Station longitude": "9.231442643843154",\n",
" "Station altitude": "118.0 m",\n",
" "Measurement height": "4.0 m",\n",
" "Regime": "IMG",\n",
" "Laboratory code": "IT06L",\n",
" "Instrument type": "filter_absorption_photometer",\n",
" "Instrument name": "Magee_AE33_MIL_NRT",\n",
" "Instrument manufacturer": "Magee",\n",
" "Instrument model": "AE33",\n",
" "Instrument serial number": "AE33-S04-00384",\n",
" "Method ref": "IT06L_AE33",\n",
" "Standard method": "Single-angle_Correction=Drinovec2015",\n",
" "Inlet type": "Impactor--direct",\n",
" "Inlet description": "PM10",\n",
" "Flow rate": "4.0 l/min",\n",
" "Humidity/temperature control": "Nafion dryer",\n",
" "Humidity/temperature control description": "sample dried to below 40% RH with Magee nafion dryer",\n",
" "Volume std. temperature": "273.15 K",\n",
" "Volume std. pressure": "1013.25 hPa",\n",
" "Measurement uncertainty expl.": "typical value of unit-to-unit variability",\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": "IT06L, Institute of Atmospheric Sciences and Climate, CNR-ISAC, Section of Bologna, Via Gobetti 101, , 40129, Bologna, Italy",\n",
" "Framework acronym": "ACTRIS_NRT, GAW-WDCA_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",\n",
" "Framework contact email": "clm@nilu.no, Markus.Fiebig@nilu.no",\n",
" "Originator": "Calzolari, Francescopiero, f.calzolari@isac.cnr.it, Institute of Atmospheric Sciences and Climate, ISAC, Institute for Atmospheric and Climate Science, Via P. Gobetti 101, , I-40129, Bologna, Italy, ORCID=0000-0003-4535-9626",\n",
" "Submitter": "Marinoni, Angela, a.marinoni@isac.cnr.it, Institute of Atmospheric Sciences and Climate, ISAC, , Via P. Gobetti 101, , I-40129, Bologna, Italy, ORCID=0000-0002-6580-7126",\n",
" "Acknowledgement": "Request acknowledgement details from data originator",\n",
" "Comment": "automatic data processing using 'ebasproc' R package. Performed processing: aggregation, setting of error flags"\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: 2079,\n",
" tbnds: 2,\n",
" metadata_time: 1,\n",
" Location: 1,\n",
" pressure_qc_flags: 1,\n",
" temperature_qc_flags: 1,\n",
" Wavelength: 7,\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: (12/104)\n",
" Conventions: CF-1.8, ACDD-1.3\n",
" featureType: timeSeries\n",
" title: Ground based in situ obser...\n",
" keywords: IT0025U, pm10, ACTRIS_NRT,...\n",
" id: IT0025U.20230328140000.202...\n",
" naming_authority: EBAS\n",
" ... ...\n",
" geospatial_lat_units: degrees_north\n",
" geospatial_lon_units: degrees_east\n",
" comment: {\\n \"Data definition\": ...\n",
" standard_name_vocabulary: CF-1.7, ACDD-1.3\n",
" history: None\n",
" creator_url: ebas.nilu.no"
]
},
"execution_count": 120,
"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": "markdown",
"id": "64ba8d03",
"metadata": {},
"source": [
"### Calculate eBC from aerosol absorption coefficient"
]
},
{
"cell_type": "code",
"execution_count": 121,
"id": "0613f896",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"660.0"
]
},
"execution_count": 121,
"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": 122,
"id": "73f2f6a9",
"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": 123,
"id": "056c600e",
"metadata": {
"scrolled": true
},
"outputs": [
{
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"<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"</symbol>\n",
"</defs>\n",
"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: '►';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: '▼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",