Using xarray to read EBAS data
Using xarray to read EBAS data¶
See more at http://ebas.nilu.no/ and https://ebas.nilu.no/thredds/
The EBAS database collects observational data on atmospheric chemical composition and physical properties from a variety of national and international research projects and monitoring programs, such as ACTRIS, AMAP, EMEP, GAW and HELCOM, as well as for the Norwegian monitoring programs funded by the Norwegian Environment Agency, the Ministry of Climate and Environment and NILU – Norwegian Institute for Air Research.
See all files available: https://thredds.nilu.no/thredds/catalog/ebas/catalog.html
# You need to first install threddsclient:
# pip install threddsclient
import threddsclient
import xarray as xr
# Find url addresses for files on EBAS
all_opendap_urls = threddsclient.opendap_urls(
'https://thredds.nilu.no/thredds/catalog/ebas/catalog.xml')
# get all data urls for one station, e.g., Zeppelin NO0042G
opendap_urls = [x for x in all_opendap_urls if 'NO0042G' in x]
# get all scattering data urls
opendap_urls = [x for x in opendap_urls if 'nephelometer' in x]
opendap_urls
['https://thredds.nilu.no/thredds/dodsC/ebas/NO0042G.20100101000000.20150216111241.nephelometer..pm10.4y.1h.SE02L_TSI_3563_ZEP_dry.SE02L_scat_coef.lev2.nc',
'https://thredds.nilu.no/thredds/dodsC/ebas/NO0042G.20080708135939.20181213000000.nephelometer..aerosol_humidified.3mo.6h.CH02L_TSI_3563_ZEP_ref+TSI_3563_ZEP_wet.CH02L_hygro_tandem_neph_CorrData.lev2.nc']
# read multiple files
# the problem with this example is, that the files are from different instruments
dsmf = xr.open_mfdataset(opendap_urls)
dsmf
<xarray.Dataset>
Dimensions: (Location: 1, RH: 13, RH_base: 1, RH_base_max: 1, RH_humidified: 1, Wavelength: 3, aerosol_light_backscattering_coefficient_amean_qc_flags: 2, aerosol_light_backscattering_coefficient_perc8413_qc_flags: 2, aerosol_light_backscattering_coefficient_prec1587_qc_flags: 2, aerosol_light_backscattering_coefficient_qc_flags: 1, aerosol_light_backscattering_enhancement_factor_qc_flags: 1, aerosol_light_scattering_coefficient_amean_qc_flags: 2, aerosol_light_scattering_coefficient_perc8413_qc_flags: 2, aerosol_light_scattering_coefficient_prec1587_qc_flags: 2, aerosol_light_scattering_coefficient_qc_flags: 1, aerosol_light_scattering_enhancement_factor_qc_flags: 1, metadata_time: 5, pressure_qc_flags: 2, relative_humidity_qc_flags: 2, tbnds: 2, temperature_qc_flags: 2, time: 35451)
Coordinates:
* metadata_time (metadata_time) datetime64[ns] ...
* time (time) datetime64[ns] ...
* Wavelength (Wavelength) float64 ...
* RH_base (RH_base) float64 ...
* RH_humidified (RH_humidified) float64 ...
* RH_base_max (RH_base_max) float64 ...
* RH (RH) float64 ...
* Location (Location) |S64 ...
Dimensions without coordinates: aerosol_light_backscattering_coefficient_amean_qc_flags, aerosol_light_backscattering_coefficient_perc8413_qc_flags, aerosol_light_backscattering_coefficient_prec1587_qc_flags, aerosol_light_backscattering_coefficient_qc_flags, aerosol_light_backscattering_enhancement_factor_qc_flags, aerosol_light_scattering_coefficient_amean_qc_flags, aerosol_light_scattering_coefficient_perc8413_qc_flags, aerosol_light_scattering_coefficient_prec1587_qc_flags, aerosol_light_scattering_coefficient_qc_flags, aerosol_light_scattering_enhancement_factor_qc_flags, pressure_qc_flags, relative_humidity_qc_flags, tbnds, temperature_qc_flags
Data variables: (12/41)
time_bnds (time, tbnds) datetime64[ns] dask.array<chunksize=(35451, 2), meta=np.ndarray>
metadata_time_bnds (metadata_time, tbnds) datetime64[ns] dask.array<chunksize=(5, 2), meta=np.ndarray>
aerosol_light_scattering_enhancement_factor_qc (Wavelength, RH_base, RH_humidified, aerosol_light_scattering_enhancement_factor_qc_flags, time) float64 dask.array<chunksize=(3, 1, 1, 1, 35451), meta=np.ndarray>
aerosol_light_backscattering_enhancement_factor_ebasmetadata (Wavelength, RH_base_max, RH_humidified, metadata_time) object dask.array<chunksize=(3, 1, 1, 5), meta=np.ndarray>
aerosol_light_scattering_enhancement_factor_ebasmetadata (Wavelength, RH_base, RH_humidified, metadata_time) object dask.array<chunksize=(3, 1, 1, 5), meta=np.ndarray>
aerosol_light_backscattering_coefficient_qc (Wavelength, RH, aerosol_light_backscattering_coefficient_qc_flags, time) float64 dask.array<chunksize=(3, 13, 1, 35451), meta=np.ndarray>
... ...
aerosol_light_scattering_coefficient_prec1587 (Wavelength, time) float64 dask.array<chunksize=(3, 35451), meta=np.ndarray>
pressure (Location, time) float64 dask.array<chunksize=(1, 35451), meta=np.ndarray>
aerosol_light_backscattering_coefficient_amean (Wavelength, time) float64 dask.array<chunksize=(3, 35451), meta=np.ndarray>
aerosol_light_scattering_coefficient_perc8413 (Wavelength, time) float64 dask.array<chunksize=(3, 35451), meta=np.ndarray>
relative_humidity (Location, time) float64 dask.array<chunksize=(1, 35451), meta=np.ndarray>
aerosol_light_backscattering_coefficient_prec1587 (Wavelength, time) float64 dask.array<chunksize=(3, 35451), meta=np.ndarray>
Attributes: (12/46)
Conventions: CF-1.7, ACDD-1.3
featureType: timeSeries
title: Ground based in situ observations of nephe...
keywords: NO0042G, Zeppelin mountain (Ny-Ålesund), p...
id: NO0042G.20100101000000.20150216111241.neph...
naming_authority: EBAS
... ...
geospatial_lat_units: degrees_north
geospatial_lon_units: degrees_east
comment: {\n "Data definition": "EBAS_1.1", \n ...
standard_name_vocabulary: CF-1.7, ACDD-1.3
history: None
creator_url: ebas.nilu.noxarray.Dataset
- Location: 1
- RH: 13
- RH_base: 1
- RH_base_max: 1
- RH_humidified: 1
- Wavelength: 3
- aerosol_light_backscattering_coefficient_amean_qc_flags: 2
- aerosol_light_backscattering_coefficient_perc8413_qc_flags: 2
- aerosol_light_backscattering_coefficient_prec1587_qc_flags: 2
- aerosol_light_backscattering_coefficient_qc_flags: 1
- aerosol_light_backscattering_enhancement_factor_qc_flags: 1
- aerosol_light_scattering_coefficient_amean_qc_flags: 2
- aerosol_light_scattering_coefficient_perc8413_qc_flags: 2
- aerosol_light_scattering_coefficient_prec1587_qc_flags: 2
- aerosol_light_scattering_coefficient_qc_flags: 1
- aerosol_light_scattering_enhancement_factor_qc_flags: 1
- metadata_time: 5
- pressure_qc_flags: 2
- relative_humidity_qc_flags: 2
- tbnds: 2
- temperature_qc_flags: 2
- time: 35451
- metadata_time(metadata_time)datetime64[ns]2008-08-25T22:59:38.999999488 .....
- standard_name :
- time
- long_name :
- time of ebas metadata intervals
- axis :
- T
- bounds :
- metadata_time_bnds
- cell_methods :
- mean
array(['2008-08-25T22:59:38.999999488', '2010-07-02T12:00:00.000000000', '2011-07-02T12:00:00.000000000', '2012-07-02T00:00:00.000000000', '2013-07-02T12:00:00.000000000'], dtype='datetime64[ns]') - time(time)datetime64[ns]2008-07-08T16:59:38.999999488 .....
- standard_name :
- time
- long_name :
- time of measurement
- axis :
- T
- bounds :
- time_bnds
- cell_methods :
- mean
array(['2008-07-08T16:59:38.999999488', '2008-07-08T22:59:38.999999488', '2008-07-09T04:59:38.999999488', ..., '2013-12-31T21:30:00.000000000', '2013-12-31T22:29:59.000000000', '2013-12-31T23:29:59.000000000'], dtype='datetime64[ns]') - Wavelength(Wavelength)float64450.0 550.0 700.0
array([450., 550., 700.])
- RH_base(RH_base)float6440.0
array([40.])
- RH_humidified(RH_humidified)float6485.0
array([85.])
- RH_base_max(RH_base_max)float6440.0
array([40.])
- RH(RH)float6430.0 35.0 40.0 ... 80.0 85.0 90.0
array([30., 35., 40., 45., 50., 55., 60., 65., 70., 75., 80., 85., 90.])
- Location(Location)|S64b'instrument internal'
array([b'instrument internal'], dtype='|S64')
- time_bnds(time, tbnds)datetime64[ns]dask.array<chunksize=(35451, 2), meta=np.ndarray>
- standard_name :
- time
- long_name :
- time bounds for measurement
Array Chunk Bytes 567.22 kB 567.22 kB Shape (35451, 2) (35451, 2) Count 13 Tasks 1 Chunks Type datetime64[ns] numpy.ndarray - metadata_time_bnds(metadata_time, tbnds)datetime64[ns]dask.array<chunksize=(5, 2), meta=np.ndarray>
- standard_name :
- time
- long_name :
- time bounds for ebas metadata intervals
Array Chunk Bytes 80 B 80 B Shape (5, 2) (5, 2) Count 13 Tasks 1 Chunks Type datetime64[ns] numpy.ndarray - aerosol_light_scattering_enhancement_factor_qc(Wavelength, RH_base, RH_humidified, aerosol_light_scattering_enhancement_factor_qc_flags, time)float64dask.array<chunksize=(3, 1, 1, 1, 35451), meta=np.ndarray>
- units :
- 1
Array Chunk Bytes 850.82 kB 850.82 kB Shape (3, 1, 1, 1, 35451) (3, 1, 1, 1, 35451) Count 15 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_backscattering_enhancement_factor_ebasmetadata(Wavelength, RH_base_max, RH_humidified, metadata_time)objectdask.array<chunksize=(3, 1, 1, 5), meta=np.ndarray>
- long_name :
- ebas metadata for different time intervals; json encoded
Array Chunk Bytes 120 B 120 B Shape (3, 1, 1, 5) (3, 1, 1, 5) Count 15 Tasks 1 Chunks Type object numpy.ndarray - aerosol_light_scattering_enhancement_factor_ebasmetadata(Wavelength, RH_base, RH_humidified, metadata_time)objectdask.array<chunksize=(3, 1, 1, 5), meta=np.ndarray>
- long_name :
- ebas metadata for different time intervals; json encoded
Array Chunk Bytes 120 B 120 B Shape (3, 1, 1, 5) (3, 1, 1, 5) Count 15 Tasks 1 Chunks Type object numpy.ndarray - aerosol_light_backscattering_coefficient_qc(Wavelength, RH, aerosol_light_backscattering_coefficient_qc_flags, time)float64dask.array<chunksize=(3, 13, 1, 35451), meta=np.ndarray>
- units :
- 1
Array Chunk Bytes 11.06 MB 11.06 MB Shape (3, 13, 1, 35451) (3, 13, 1, 35451) Count 16 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_backscattering_enhancement_factor_qc(Wavelength, RH_base_max, RH_humidified, aerosol_light_backscattering_enhancement_factor_qc_flags, time)float64dask.array<chunksize=(3, 1, 1, 1, 35451), meta=np.ndarray>
- units :
- 1
Array Chunk Bytes 850.82 kB 850.82 kB Shape (3, 1, 1, 1, 35451) (3, 1, 1, 1, 35451) Count 15 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_scattering_coefficient_qc(Wavelength, RH, aerosol_light_scattering_coefficient_qc_flags, time)float64dask.array<chunksize=(3, 13, 1, 35451), meta=np.ndarray>
- units :
- 1
Array Chunk Bytes 11.06 MB 11.06 MB Shape (3, 13, 1, 35451) (3, 13, 1, 35451) Count 16 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_scattering_coefficient_ebasmetadata(Wavelength, RH, metadata_time)objectdask.array<chunksize=(3, 13, 5), meta=np.ndarray>
- long_name :
- ebas metadata for different time intervals; json encoded
Array Chunk Bytes 1.56 kB 1.56 kB Shape (3, 13, 5) (3, 13, 5) Count 14 Tasks 1 Chunks Type object numpy.ndarray - aerosol_light_backscattering_coefficient_ebasmetadata(Wavelength, RH, metadata_time)objectdask.array<chunksize=(3, 13, 5), meta=np.ndarray>
- long_name :
- ebas metadata for different time intervals; json encoded
Array Chunk Bytes 1.56 kB 1.56 kB Shape (3, 13, 5) (3, 13, 5) Count 14 Tasks 1 Chunks Type object numpy.ndarray - aerosol_light_scattering_enhancement_factor(Wavelength, RH_base, RH_humidified, time)float64dask.array<chunksize=(3, 1, 1, 35451), meta=np.ndarray>
- units :
- no unit
- ancillary_variables :
- aerosol_light_scattering_enhancement_factor_qc aerosol_light_scattering_enhancement_factor_ebasmetadata
- cell_methods :
- time: mean
Array Chunk Bytes 850.82 kB 850.82 kB Shape (3, 1, 1, 35451) (3, 1, 1, 35451) Count 14 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_backscattering_enhancement_factor(Wavelength, RH_base_max, RH_humidified, time)float64dask.array<chunksize=(3, 1, 1, 35451), meta=np.ndarray>
- units :
- no unit
- ancillary_variables :
- aerosol_light_backscattering_enhancement_factor_qc aerosol_light_backscattering_enhancement_factor_ebasmetadata
- cell_methods :
- time: mean
Array Chunk Bytes 850.82 kB 850.82 kB Shape (3, 1, 1, 35451) (3, 1, 1, 35451) Count 14 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_backscattering_coefficient(Wavelength, RH, time)float64dask.array<chunksize=(3, 13, 35451), meta=np.ndarray>
- units :
- 1/Mm
- ancillary_variables :
- aerosol_light_backscattering_coefficient_qc aerosol_light_backscattering_coefficient_ebasmetadata
- cell_methods :
- time: mean
Array Chunk Bytes 11.06 MB 11.06 MB Shape (3, 13, 35451) (3, 13, 35451) Count 13 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_scattering_coefficient(Wavelength, RH, time)float64dask.array<chunksize=(3, 13, 35451), meta=np.ndarray>
- units :
- 1/Mm
- ancillary_variables :
- aerosol_light_scattering_coefficient_qc aerosol_light_scattering_coefficient_ebasmetadata
- cell_methods :
- time: mean
Array Chunk Bytes 11.06 MB 11.06 MB Shape (3, 13, 35451) (3, 13, 35451) Count 13 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_scattering_coefficient_amean_ebasmetadata(Wavelength, metadata_time)objectdask.array<chunksize=(3, 5), meta=np.ndarray>
- long_name :
- ebas metadata for different time intervals; json encoded
Array Chunk Bytes 120 B 120 B Shape (3, 5) (3, 5) Count 11 Tasks 1 Chunks Type object numpy.ndarray - temperature_qc(Location, temperature_qc_flags, time)float64dask.array<chunksize=(1, 2, 35451), meta=np.ndarray>
- units :
- 1
Array Chunk Bytes 567.22 kB 567.22 kB Shape (1, 2, 35451) (1, 2, 35451) Count 13 Tasks 1 Chunks Type float64 numpy.ndarray - relative_humidity_qc(Location, relative_humidity_qc_flags, time)float64dask.array<chunksize=(1, 2, 35451), meta=np.ndarray>
- standard_name :
- status_flag
- units :
- 1
Array Chunk Bytes 567.22 kB 567.22 kB Shape (1, 2, 35451) (1, 2, 35451) Count 13 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_scattering_coefficient_prec1587_ebasmetadata(Wavelength, metadata_time)objectdask.array<chunksize=(3, 5), meta=np.ndarray>
- long_name :
- ebas metadata for different time intervals; json encoded
Array Chunk Bytes 120 B 120 B Shape (3, 5) (3, 5) Count 11 Tasks 1 Chunks Type object numpy.ndarray - aerosol_light_scattering_coefficient_amean_qc(Wavelength, aerosol_light_scattering_coefficient_amean_qc_flags, time)float64dask.array<chunksize=(3, 2, 35451), meta=np.ndarray>
- units :
- 1
Array Chunk Bytes 1.70 MB 1.70 MB Shape (3, 2, 35451) (3, 2, 35451) Count 13 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_backscattering_coefficient_prec1587_ebasmetadata(Wavelength, metadata_time)objectdask.array<chunksize=(3, 5), meta=np.ndarray>
- long_name :
- ebas metadata for different time intervals; json encoded
Array Chunk Bytes 120 B 120 B Shape (3, 5) (3, 5) Count 11 Tasks 1 Chunks Type object numpy.ndarray - aerosol_light_scattering_coefficient_perc8413_ebasmetadata(Wavelength, metadata_time)objectdask.array<chunksize=(3, 5), meta=np.ndarray>
- long_name :
- ebas metadata for different time intervals; json encoded
Array Chunk Bytes 120 B 120 B Shape (3, 5) (3, 5) Count 11 Tasks 1 Chunks Type object numpy.ndarray - temperature_ebasmetadata(Location, metadata_time)objectdask.array<chunksize=(1, 5), meta=np.ndarray>
- long_name :
- ebas metadata for different time intervals; json encoded
Array Chunk Bytes 40 B 40 B Shape (1, 5) (1, 5) Count 11 Tasks 1 Chunks Type object numpy.ndarray - pressure_ebasmetadata(Location, metadata_time)objectdask.array<chunksize=(1, 5), meta=np.ndarray>
- long_name :
- ebas metadata for different time intervals; json encoded
Array Chunk Bytes 40 B 40 B Shape (1, 5) (1, 5) Count 11 Tasks 1 Chunks Type object numpy.ndarray - aerosol_light_scattering_coefficient_prec1587_qc(Wavelength, aerosol_light_scattering_coefficient_prec1587_qc_flags, time)float64dask.array<chunksize=(3, 2, 35451), meta=np.ndarray>
- units :
- 1
Array Chunk Bytes 1.70 MB 1.70 MB Shape (3, 2, 35451) (3, 2, 35451) Count 13 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_scattering_coefficient_perc8413_qc(Wavelength, aerosol_light_scattering_coefficient_perc8413_qc_flags, time)float64dask.array<chunksize=(3, 2, 35451), meta=np.ndarray>
- units :
- 1
Array Chunk Bytes 1.70 MB 1.70 MB Shape (3, 2, 35451) (3, 2, 35451) Count 13 Tasks 1 Chunks Type float64 numpy.ndarray - pressure_qc(Location, pressure_qc_flags, time)float64dask.array<chunksize=(1, 2, 35451), meta=np.ndarray>
- units :
- 1
Array Chunk Bytes 567.22 kB 567.22 kB Shape (1, 2, 35451) (1, 2, 35451) Count 13 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_backscattering_coefficient_perc8413_ebasmetadata(Wavelength, metadata_time)objectdask.array<chunksize=(3, 5), meta=np.ndarray>
- long_name :
- ebas metadata for different time intervals; json encoded
Array Chunk Bytes 120 B 120 B Shape (3, 5) (3, 5) Count 11 Tasks 1 Chunks Type object numpy.ndarray - aerosol_light_backscattering_coefficient_prec1587_qc(Wavelength, aerosol_light_backscattering_coefficient_prec1587_qc_flags, time)float64dask.array<chunksize=(3, 2, 35451), meta=np.ndarray>
- units :
- 1
Array Chunk Bytes 1.70 MB 1.70 MB Shape (3, 2, 35451) (3, 2, 35451) Count 13 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_backscattering_coefficient_amean_qc(Wavelength, aerosol_light_backscattering_coefficient_amean_qc_flags, time)float64dask.array<chunksize=(3, 2, 35451), meta=np.ndarray>
- units :
- 1
Array Chunk Bytes 1.70 MB 1.70 MB Shape (3, 2, 35451) (3, 2, 35451) Count 13 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_backscattering_coefficient_amean_ebasmetadata(Wavelength, metadata_time)objectdask.array<chunksize=(3, 5), meta=np.ndarray>
- long_name :
- ebas metadata for different time intervals; json encoded
Array Chunk Bytes 120 B 120 B Shape (3, 5) (3, 5) Count 11 Tasks 1 Chunks Type object numpy.ndarray - aerosol_light_backscattering_coefficient_perc8413_qc(Wavelength, aerosol_light_backscattering_coefficient_perc8413_qc_flags, time)float64dask.array<chunksize=(3, 2, 35451), meta=np.ndarray>
- units :
- 1
Array Chunk Bytes 1.70 MB 1.70 MB Shape (3, 2, 35451) (3, 2, 35451) Count 13 Tasks 1 Chunks Type float64 numpy.ndarray - relative_humidity_ebasmetadata(Location, metadata_time)objectdask.array<chunksize=(1, 5), meta=np.ndarray>
- long_name :
- ebas metadata for different time intervals; json encoded
Array Chunk Bytes 40 B 40 B Shape (1, 5) (1, 5) Count 11 Tasks 1 Chunks Type object numpy.ndarray - aerosol_light_backscattering_coefficient_perc8413(Wavelength, time)float64dask.array<chunksize=(3, 35451), meta=np.ndarray>
- units :
- 1/Mm
- ancillary_variables :
- aerosol_light_backscattering_coefficient_perc8413_qc aerosol_light_backscattering_coefficient_perc8413_ebasmetadata
- cell_methods :
- time: percentile:84.13
Array Chunk Bytes 850.82 kB 850.82 kB Shape (3, 35451) (3, 35451) Count 10 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_scattering_coefficient_amean(Wavelength, time)float64dask.array<chunksize=(3, 35451), meta=np.ndarray>
- units :
- 1/Mm
- ancillary_variables :
- aerosol_light_scattering_coefficient_amean_qc aerosol_light_scattering_coefficient_amean_ebasmetadata
- cell_methods :
- time: mean
Array Chunk Bytes 850.82 kB 850.82 kB Shape (3, 35451) (3, 35451) Count 10 Tasks 1 Chunks Type float64 numpy.ndarray - temperature(Location, time)float64dask.array<chunksize=(1, 35451), meta=np.ndarray>
- units :
- K
- ancillary_variables :
- temperature_qc temperature_ebasmetadata
- cell_methods :
- time: mean
Array Chunk Bytes 283.61 kB 283.61 kB Shape (1, 35451) (1, 35451) Count 10 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_scattering_coefficient_prec1587(Wavelength, time)float64dask.array<chunksize=(3, 35451), meta=np.ndarray>
- units :
- 1/Mm
- ancillary_variables :
- aerosol_light_scattering_coefficient_prec1587_qc aerosol_light_scattering_coefficient_prec1587_ebasmetadata
- cell_methods :
- time: percentile:15.87
Array Chunk Bytes 850.82 kB 850.82 kB Shape (3, 35451) (3, 35451) Count 10 Tasks 1 Chunks Type float64 numpy.ndarray - pressure(Location, time)float64dask.array<chunksize=(1, 35451), meta=np.ndarray>
- units :
- hPa
- ancillary_variables :
- pressure_qc pressure_ebasmetadata
- cell_methods :
- time: mean
Array Chunk Bytes 283.61 kB 283.61 kB Shape (1, 35451) (1, 35451) Count 10 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_backscattering_coefficient_amean(Wavelength, time)float64dask.array<chunksize=(3, 35451), meta=np.ndarray>
- units :
- 1/Mm
- ancillary_variables :
- aerosol_light_backscattering_coefficient_amean_qc aerosol_light_backscattering_coefficient_amean_ebasmetadata
- cell_methods :
- time: mean
Array Chunk Bytes 850.82 kB 850.82 kB Shape (3, 35451) (3, 35451) Count 10 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_scattering_coefficient_perc8413(Wavelength, time)float64dask.array<chunksize=(3, 35451), meta=np.ndarray>
- units :
- 1/Mm
- ancillary_variables :
- aerosol_light_scattering_coefficient_perc8413_qc aerosol_light_scattering_coefficient_perc8413_ebasmetadata
- cell_methods :
- time: percentile:84.13
Array Chunk Bytes 850.82 kB 850.82 kB Shape (3, 35451) (3, 35451) Count 10 Tasks 1 Chunks Type float64 numpy.ndarray - relative_humidity(Location, time)float64dask.array<chunksize=(1, 35451), meta=np.ndarray>
- units :
- %
- ancillary_variables :
- relative_humidity_qc relative_humidity_ebasmetadata
- cell_methods :
- time: mean
- standard_name :
- relative_humidity
Array Chunk Bytes 283.61 kB 283.61 kB Shape (1, 35451) (1, 35451) Count 10 Tasks 1 Chunks Type float64 numpy.ndarray - aerosol_light_backscattering_coefficient_prec1587(Wavelength, time)float64dask.array<chunksize=(3, 35451), meta=np.ndarray>
- units :
- 1/Mm
- ancillary_variables :
- aerosol_light_backscattering_coefficient_prec1587_qc aerosol_light_backscattering_coefficient_prec1587_ebasmetadata
- cell_methods :
- time: percentile:15.87
Array Chunk Bytes 850.82 kB 850.82 kB Shape (3, 35451) (3, 35451) Count 10 Tasks 1 Chunks Type float64 numpy.ndarray
- Conventions :
- CF-1.7, ACDD-1.3
- featureType :
- timeSeries
- title :
- Ground based in situ observations of nephelometer at Zeppelin mountain (Ny-Ålesund) (NO0042G)
- keywords :
- NO0042G, Zeppelin mountain (Ny-Ålesund), pm10, aerosol_light_backscattering_coefficient, aerosol_light_scattering_coefficient, GAW-WDCA, ACTRIS, EUSAAR
- id :
- NO0042G.20100101000000.20150216111241.nephelometer..pm10.4y.1h.SE02L_TSI_3563_ZEP_dry.SE02L_scat_coef.lev2.nc
- naming_authority :
- EBAS
- project :
- ACTRIS, EUSAAR, GAW-WDCA
- license :
- ACTRIS: http://actris.nilu.no/Content/Documents/DataPolicy.pdf, EUSAAR: http://www.eusaar.net/files/data/data_protocol.cfm, GAW-WDCA:
- summary :
- Ground based in situ observations of nephelometer at Zeppelin mountain (Ny-Ålesund) (NO0042G). These measurements are gathered as a part of the following projects ACTRIS, EUSAAR, GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_light_backscattering_coefficient in pm10, aerosol_light_scattering_coefficient in pm10
- source :
- surface observation
- institution :
- SE02L, Institute of Applied Environmental Research (Air Pollution Laboratory), Stockholm University, Frescativägen 54, S-106 91 STOCKHOLM, Sweden
- processing_level :
- processing_level_test
- date_created :
- 2015-02-16T11:12:41 UTC
- date_metadata_modified :
- 2015-02-16T11:12:41 UTC
- creator_name :
- Peter Tunved
- creator_type :
- person
- creator_email :
- creator_institution :
- contributor_name :
- Peter Tunved
- contributor_role :
- data submitter
- publisher_type :
- institution
- publisher_name :
- NILU - Norwegian Institute for Air Research, ATMOS, EBAS
- publisher_institution :
- NILU - Norwegian Institute for Air Research, ATMOS, EBAS
- publisher_email :
- ebas@nilu.no
- publisher_url :
- https://www.nilu.no/
- geospatial_bounds :
- POINT Z (78.90715 11.88668 474.0)
- geospatial_bounds_crs :
- EPSG:4979
- geospatial_lat_min :
- 78.90715
- geospatial_lat_max :
- 78.90715
- geospatial_lon_min :
- 11.88668
- geospatial_lon_max :
- 11.88668
- geospatial_vertical_min :
- 474.0
- geospatial_vertical_max :
- 474.0
- geospatial_vertical_positive :
- up
- time_coverage_start :
- 2010-01-01T00:00:00 UTC
- time_coverage_end :
- 2014-01-01T00:00:00 UTC
- time_coverage_duration :
- P0004-00-00T00:00:00
- time_coverage_resolution :
- P0000-00-00T01:00:00
- timezone :
- UTC
- Metadata_Conventions :
- Unidata Dataset Discovery v1.0
- geospatial_lat_units :
- degrees_north
- geospatial_lon_units :
- degrees_east
- comment :
- { "Data definition": "EBAS_1.1", "Set type code": "TI", "Timezone": "UTC", "File name": "NO0042G.20100101000000.20150216111241.nephelometer..pm10.4y.1h.SE02L_TSI_3563_ZEP_dry.SE02L_scat_coef.lev2.nc", "File creation": "20190514071327", "Startdate": "20100101000000", "Revision date": "20150216111241", "Data level": "2", "Period code": "4y", "Resolution code": "1h", "Station code": "NO0042G", "Platform code": "NO0042S", "Station name": "Zeppelin mountain (Ny-Ålesund)", "Station WDCA-ID": "GAWANO__ZEP", "Station GAW-ID": "ZEP", "Station GAW-Name": "Zeppelin Mountain (Ny Ålesund)", "Station land use": "Gravel and stone", "Station setting": "Polar", "Station GAW type": "G", "Station WMO region": "6", "Station latitude": "78.90715", "Station longitude": "11.88668", "Station altitude": "474.0 m", "Regime": "IMG", "Unit": "1/Mm", "Matrix": "pm10", "Laboratory code": "SE02L", "Instrument type": "nephelometer", "Instrument name": "TSI_3563_ZEP_dry", "Method ref": "SE02L_scat_coef", "Standard method": "cal-gas=CO2+AIR_truncation-correction=Anderson1998", "Inlet type": "Hat or hood", "Humidity/temperature control": "Temperature controlled", "Volume std. temperature": "273.15 K", "Volume std. pressure": "1013.25 hPa", "Organization": "SE02L, \"Institute of Applied Environmental Research (Air Pollution Laboratory), Stockholm University\", , , \"Frescativägen 54, S-106 91 STOCKHOLM, Sweden\", , , , ", "Frameworks": "ACTRIS EUSAAR GAW-WDCA", "Originator": "Tunved, Peter, , , , , , , , , ", "Submitter": "Tunved, Peter, , , , , , , , , " }
- standard_name_vocabulary :
- CF-1.7, ACDD-1.3
- history :
- None
- creator_url :
- ebas.nilu.no
# read one file
ds = xr.open_dataset(
'https://thredds.nilu.no/thredds/dodsC/ebas/'
'CA0420G.20040101000000.20201112154612.nephelometer.'
'.pm10.16y.1h.CA01L_TSI_3563_ALT_pm10.CA01L_scat_coef.lev2.nc')
ds
<xarray.Dataset>
Dimensions: (Location: 1, Wavelength: 3, aerosol_light_backscattering_coefficient_amean_qc_flags: 1, aerosol_light_backscattering_coefficient_perc8413_qc_flags: 1, aerosol_light_backscattering_coefficient_prec1587_qc_flags: 1, aerosol_light_scattering_coefficient_amean_qc_flags: 1, aerosol_light_scattering_coefficient_perc8413_qc_flags: 1, aerosol_light_scattering_coefficient_prec1587_qc_flags: 1, metadata_time: 16, pressure_qc_flags: 1, relative_humidity_qc_flags: 1, tbnds: 2, temperature_qc_flags: 1, time: 140256)
Coordinates:
* time (time) datetime64[ns] ...
* metadata_time (metadata_time) datetime64[ns] ...
* Wavelength (Wavelength) float64 ...
* Location (Location) |S64 ...
Dimensions without coordinates: aerosol_light_backscattering_coefficient_amean_qc_flags, aerosol_light_backscattering_coefficient_perc8413_qc_flags, aerosol_light_backscattering_coefficient_prec1587_qc_flags, aerosol_light_scattering_coefficient_amean_qc_flags, aerosol_light_scattering_coefficient_perc8413_qc_flags, aerosol_light_scattering_coefficient_prec1587_qc_flags, pressure_qc_flags, relative_humidity_qc_flags, tbnds, temperature_qc_flags
Data variables: (12/29)
time_bnds (time, tbnds) datetime64[ns] ...
metadata_time_bnds (metadata_time, tbnds) datetime64[ns] ...
aerosol_light_scattering_coefficient_amean_ebasmetadata (Wavelength, metadata_time) |S64 ...
temperature_qc (Location, temperature_qc_flags, time) float64 ...
relative_humidity_qc (Location, relative_humidity_qc_flags, time) float64 ...
aerosol_light_scattering_coefficient_prec1587_ebasmetadata (Wavelength, metadata_time) |S64 ...
... ...
aerosol_light_scattering_coefficient_prec1587 (Wavelength, time) float64 ...
pressure (Location, time) float64 ...
aerosol_light_backscattering_coefficient_amean (Wavelength, time) float64 ...
aerosol_light_scattering_coefficient_perc8413 (Wavelength, time) float64 ...
relative_humidity (Location, time) float64 ...
aerosol_light_backscattering_coefficient_prec1587 (Wavelength, time) float64 ...
Attributes: (12/52)
Conventions: CF-1.8, ACDD-1.3
featureType: timeSeries
title: Ground based in situ observations of nephe...
keywords: NOAA-ESRL, pm10, aerosol_light_backscatter...
id: CA0420G.20040101000000.20201112154612.neph...
naming_authority: EBAS
... ...
geospatial_lat_units: degrees_north
geospatial_lon_units: degrees_east
comment: {\n "Data definition": "EBAS_1.1", \n ...
standard_name_vocabulary: CF-1.7, ACDD-1.3
history: None
creator_url: ebas.nilu.noxarray.Dataset
- Location: 1
- Wavelength: 3
- aerosol_light_backscattering_coefficient_amean_qc_flags: 1
- aerosol_light_backscattering_coefficient_perc8413_qc_flags: 1
- aerosol_light_backscattering_coefficient_prec1587_qc_flags: 1
- aerosol_light_scattering_coefficient_amean_qc_flags: 1
- aerosol_light_scattering_coefficient_perc8413_qc_flags: 1
- aerosol_light_scattering_coefficient_prec1587_qc_flags: 1
- metadata_time: 16
- pressure_qc_flags: 1
- relative_humidity_qc_flags: 1
- tbnds: 2
- temperature_qc_flags: 1
- time: 140256
- time(time)datetime64[ns]2004-01-01T00:30:00 ... 2019-12-...
- standard_name :
- time
- long_name :
- time of measurement
- axis :
- T
- bounds :
- time_bnds
array(['2004-01-01T00:30:00.000000000', '2004-01-01T01:30:00.000000000', '2004-01-01T02:30:00.000000000', ..., '2019-12-31T21:30:00.000000000', '2019-12-31T22:30:00.000000000', '2019-12-31T23:30:00.000000000'], dtype='datetime64[ns]') - metadata_time(metadata_time)datetime64[ns]2004-07-02 ... 2019-07-02T12:00:00
- standard_name :
- time
- long_name :
- time of ebas metadata intervals
- axis :
- T
- bounds :
- metadata_time_bnds
array(['2004-07-02T00:00:00.000000000', '2005-07-02T12:00:00.000000000', '2006-07-02T12:00:00.000000000', '2007-07-02T12:00:00.000000000', '2008-07-02T00:00:00.000000000', '2009-07-02T12:00:00.000000000', '2010-07-02T12:00:00.000000000', '2011-07-02T12:00:00.000000000', '2012-07-02T00:00:00.000000000', '2013-07-02T12:00:00.000000000', '2014-07-02T12:00:00.000000000', '2015-07-02T12:00:00.000000000', '2016-07-02T00:00:00.000000000', '2017-07-02T12:00:00.000000000', '2018-07-02T12:00:00.000000000', '2019-07-02T12:00:00.000000000'], dtype='datetime64[ns]') - Wavelength(Wavelength)float64450.0 550.0 700.0
array([450., 550., 700.])
- Location(Location)|S64b'instrument internal'
array([b'instrument internal'], dtype='|S64')
- time_bnds(time, tbnds)datetime64[ns]...
- long_name :
- time bounds for measurement
[280512 values with dtype=datetime64[ns]]
- metadata_time_bnds(metadata_time, tbnds)datetime64[ns]...
- long_name :
- time bounds for ebas metadata intervals
array([['2004-01-01T00:00:00.000000000', '2005-01-01T00:00:00.000000000'], ['2005-01-01T00:00:00.000000000', '2006-01-01T00:00:00.000000000'], ['2006-01-01T00:00:00.000000000', '2007-01-01T00:00:00.000000000'], ['2007-01-01T00:00:00.000000000', '2008-01-01T00:00:00.000000000'], ['2008-01-01T00:00:00.000000000', '2009-01-01T00:00:00.000000000'], ['2009-01-01T00:00:00.000000000', '2010-01-01T00:00:00.000000000'], ['2010-01-01T00:00:00.000000000', '2011-01-01T00:00:00.000000000'], ['2011-01-01T00:00:00.000000000', '2012-01-01T00:00:00.000000000'], ['2012-01-01T00:00:00.000000000', '2013-01-01T00:00:00.000000000'], ['2013-01-01T00:00:00.000000000', '2014-01-01T00:00:00.000000000'], ['2014-01-01T00:00:00.000000000', '2015-01-01T00:00:00.000000000'], ['2015-01-01T00:00:00.000000000', '2016-01-01T00:00:00.000000000'], ['2016-01-01T00:00:00.000000000', '2017-01-01T00:00:00.000000000'], ['2017-01-01T00:00:00.000000000', '2018-01-01T00:00:00.000000000'], ['2018-01-01T00:00:00.000000000', '2019-01-01T00:00:00.000000000'], ['2019-01-01T00:00:00.000000000', '2020-01-01T00:00:00.000000000']], dtype='datetime64[ns]') - aerosol_light_scattering_coefficient_amean_ebasmetadata(Wavelength, metadata_time)|S64...
- long_name :
- ebas metadata for different time intervals; json encoded
array([[b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n '], [b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n '], [b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n ']], dtype='|S64') - temperature_qc(Location, temperature_qc_flags, time)float64...
- standard_name :
- status_flag
- units :
- 1
[140256 values with dtype=float64]
- relative_humidity_qc(Location, relative_humidity_qc_flags, time)float64...
- standard_name :
- status_flag
- units :
- 1
[140256 values with dtype=float64]
- aerosol_light_scattering_coefficient_prec1587_ebasmetadata(Wavelength, metadata_time)|S64...
- long_name :
- ebas metadata for different time intervals; json encoded
array([[b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n '], [b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n '], [b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n ']], dtype='|S64') - aerosol_light_scattering_coefficient_amean_qc(Wavelength, aerosol_light_scattering_coefficient_amean_qc_flags, time)float64...
- standard_name :
- status_flag
- units :
- 1
[420768 values with dtype=float64]
- aerosol_light_backscattering_coefficient_prec1587_ebasmetadata(Wavelength, metadata_time)|S64...
- long_name :
- ebas metadata for different time intervals; json encoded
array([[b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n '], [b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n '], [b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n ']], dtype='|S64') - aerosol_light_scattering_coefficient_perc8413_ebasmetadata(Wavelength, metadata_time)|S64...
- long_name :
- ebas metadata for different time intervals; json encoded
array([[b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n '], [b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n '], [b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n ']], dtype='|S64') - aerosol_light_backscattering_coefficient_amean_ebasmetadata(Wavelength, metadata_time)|S64...
- long_name :
- ebas metadata for different time intervals; json encoded
array([[b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n '], [b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n '], [b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n ']], dtype='|S64') - pressure_ebasmetadata(Location, metadata_time)|S64...
- long_name :
- ebas metadata for different time intervals; json encoded
array([[b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n ']], dtype='|S64') - aerosol_light_scattering_coefficient_prec1587_qc(Wavelength, aerosol_light_scattering_coefficient_prec1587_qc_flags, time)float64...
- standard_name :
- status_flag
- units :
- 1
[420768 values with dtype=float64]
- aerosol_light_scattering_coefficient_perc8413_qc(Wavelength, aerosol_light_scattering_coefficient_perc8413_qc_flags, time)float64...
- standard_name :
- status_flag
- units :
- 1
[420768 values with dtype=float64]
- pressure_qc(Location, pressure_qc_flags, time)float64...
- standard_name :
- status_flag
- units :
- 1
[140256 values with dtype=float64]
- aerosol_light_backscattering_coefficient_perc8413_ebasmetadata(Wavelength, metadata_time)|S64...
- long_name :
- ebas metadata for different time intervals; json encoded
array([[b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n '], [b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n '], [b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n ']], dtype='|S64') - aerosol_light_backscattering_coefficient_prec1587_qc(Wavelength, aerosol_light_backscattering_coefficient_prec1587_qc_flags, time)float64...
- standard_name :
- status_flag
- units :
- 1
[420768 values with dtype=float64]
- aerosol_light_backscattering_coefficient_amean_qc(Wavelength, aerosol_light_backscattering_coefficient_amean_qc_flags, time)float64...
- standard_name :
- status_flag
- units :
- 1
[420768 values with dtype=float64]
- temperature_ebasmetadata(Location, metadata_time)|S64...
- long_name :
- ebas metadata for different time intervals; json encoded
array([[b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n ']], dtype='|S64') - aerosol_light_backscattering_coefficient_perc8413_qc(Wavelength, aerosol_light_backscattering_coefficient_perc8413_qc_flags, time)float64...
- standard_name :
- status_flag
- units :
- 1
[420768 values with dtype=float64]
- relative_humidity_ebasmetadata(Location, metadata_time)|S64...
- long_name :
- ebas metadata for different time intervals; json encoded
array([[b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201112154612", \n "Version": "1", \n ', b'{\n "Revision date": "20201101043751", \n "Version": "1", \n ']], dtype='|S64') - aerosol_light_backscattering_coefficient_perc8413(Wavelength, time)float64...
- units :
- 1/Mm
- ancillary_variables :
- aerosol_light_backscattering_coefficient_perc8413_qc aerosol_light_backscattering_coefficient_perc8413_ebasmetadata
- cell_methods :
- time: percentile:84.13
[420768 values with dtype=float64]
- aerosol_light_scattering_coefficient_amean(Wavelength, time)float64...
- units :
- 1/Mm
- ancillary_variables :
- aerosol_light_scattering_coefficient_amean_qc aerosol_light_scattering_coefficient_amean_ebasmetadata
- cell_methods :
- time: mean
[420768 values with dtype=float64]
- temperature(Location, time)float64...
- units :
- K
- ancillary_variables :
- temperature_qc temperature_ebasmetadata
- cell_methods :
- time: mean
[140256 values with dtype=float64]
- aerosol_light_scattering_coefficient_prec1587(Wavelength, time)float64...
- units :
- 1/Mm
- ancillary_variables :
- aerosol_light_scattering_coefficient_prec1587_qc aerosol_light_scattering_coefficient_prec1587_ebasmetadata
- cell_methods :
- time: percentile:15.87
[420768 values with dtype=float64]
- pressure(Location, time)float64...
- units :
- hPa
- ancillary_variables :
- pressure_qc pressure_ebasmetadata
- cell_methods :
- time: mean
[140256 values with dtype=float64]
- aerosol_light_backscattering_coefficient_amean(Wavelength, time)float64...
- ancillary_variables :
- aerosol_light_backscattering_coefficient_amean_qc aerosol_light_backscattering_coefficient_amean_ebasmetadata
- cell_methods :
- time: mean
- units :
- 1/Mm
[420768 values with dtype=float64]
- aerosol_light_scattering_coefficient_perc8413(Wavelength, time)float64...
- units :
- 1/Mm
- ancillary_variables :
- aerosol_light_scattering_coefficient_perc8413_qc aerosol_light_scattering_coefficient_perc8413_ebasmetadata
- cell_methods :
- time: percentile:84.13
[420768 values with dtype=float64]
- relative_humidity(Location, time)float64...
- units :
- %
- ancillary_variables :
- relative_humidity_qc relative_humidity_ebasmetadata
- cell_methods :
- time: mean
- standard_name :
- relative_humidity
[140256 values with dtype=float64]
- aerosol_light_backscattering_coefficient_prec1587(Wavelength, time)float64...
- units :
- 1/Mm
- ancillary_variables :
- aerosol_light_backscattering_coefficient_prec1587_qc aerosol_light_backscattering_coefficient_prec1587_ebasmetadata
- cell_methods :
- time: percentile:15.87
[420768 values with dtype=float64]
- Conventions :
- CF-1.8, ACDD-1.3
- featureType :
- timeSeries
- title :
- Ground based in situ observations of nephelometer at Alert (CA0420G)
- keywords :
- NOAA-ESRL, pm10, aerosol_light_backscattering_coefficient, Alert, aerosol_light_scattering_coefficient, GAW-WDCA, CA0420G
- id :
- CA0420G.20040101000000.20201112154612.nephelometer..pm10.16y.1h.CA01L_TSI_3563_ALT_pm10.CA01L_scat_coef.lev2.nc
- naming_authority :
- EBAS
- project :
- GAW-WDCA, NOAA-ESRL
- acknowledgement :
- Request acknowledgement details from data originator
- license :
- GAW-WDCA: , NOAA-ESRL:
- summary :
- Ground based in situ observations of nephelometer at Alert (CA0420G). These measurements are gathered as a part of the following projects GAW-WDCA, NOAA-ESRL and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_light_backscattering_coefficient in pm10, aerosol_light_backscattering_coefficient in pm10, aerosol_light_backscattering_coefficient in pm10, aerosol_light_scattering_coefficient in pm10, aerosol_light_scattering_coefficient in pm10, aerosol_light_scattering_coefficient in pm10
- source :
- surface observation
- institution :
- CA01L, Environment Canada, EC/AES, Atmospheric Environmental Service, 4905 Dufferin Street, M3H 5T4, Downsview, Ontario, Canada
- processing_level :
- processing_level_test
- date_created :
- 2020-11-12T15:46:12 UTC
- date_metadata_modified :
- 2020-11-12T15:46:12 UTC
- creator_name :
- Sangeeta Sharma
- creator_type :
- person
- creator_email :
- sangeeta.sharma@canada.ca
- creator_institution :
- "Climate Chemistry Measurements Research, Environment Canada, EC"
- contributor_name :
- Sangeeta Sharma
- contributor_role :
- data submitter
- publisher_type :
- institution
- publisher_name :
- NILU - Norwegian Institute for Air Research, ATMOS, EBAS
- publisher_institution :
- NILU - Norwegian Institute for Air Research, ATMOS, EBAS
- publisher_email :
- ebas@nilu.no
- publisher_url :
- https://www.nilu.no/
- geospatial_bounds :
- POINT Z (82.499146 -62.341526 2182.0)
- geospatial_bounds_crs :
- EPSG:4979
- geospatial_lat_min :
- 82.499146
- geospatial_lat_max :
- 82.499146
- geospatial_lon_min :
- -62.341526
- geospatial_lon_max :
- -62.341526
- geospatial_vertical_min :
- 2182.0
- geospatial_vertical_max :
- 2182.0
- geospatial_vertical_positive :
- up
- time_coverage_start :
- 2004-01-01T00:00:00 UTC
- time_coverage_end :
- 2020-01-01T00:00:00 UTC
- time_coverage_duration :
- P0016-00-00T00:00:00
- time_coverage_resolution :
- P0000-00-00T01:00:00
- timezone :
- UTC
- ebas_framework_acronym :
- GAW-WDCA, NOAA-ESRL
- ebas_framework_name :
- World Data Centre for Aerosols,
- ebas_framework_description :
- 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.,
- ebas_framework_contact_name :
- Markus Fiebig, Markus Fiebig
- ebas_framework_contact_email :
- Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no
- Metadata_Conventions :
- Unidata Dataset Discovery v1.0
- geospatial_lat_units :
- degrees_north
- geospatial_lon_units :
- degrees_east
- comment :
- { "Data definition": "EBAS_1.1", "Set type code": "TU", "Timezone": "UTC", "File name": "CA0420G.20040101000000.20201112154612.nephelometer..pm10.16y.1h.CA01L_TSI_3563_ALT_pm10.CA01L_scat_coef.lev2.nc", "File creation": "20201112204145", "Startdate": "20040101000000", "Revision date": "20201112154612", "Version": "1", "Data level": "2", "Period code": "16y", "Resolution code": "1h", "Sample duration": "1h", "Orig. time res.": "1mn", "Station code": "CA0420G", "Platform code": "CA0420S", "Station name": "Alert", "Station WDCA-ID": "GAWACANUALT", "Station GAW-ID": "ALT", "Station GAW-Name": "Alert", "Station state/province": "NU", "Station land use": "Military reservation", "Station setting": "Polar", "Station GAW type": "G", "Station WMO region": "4", "Station latitude": "82.4991455078", "Station longitude": "-62.3415260315", "Station altitude": "210.0 m", "Measurement latitude": "82.499146", "Measurement longitude": "-62.341526", "Measurement altitude": "2182.0 m", "Measurement height": "210.0 m", "Regime": "IMG", "Unit": "1/Mm", "Matrix": "pm10", "Laboratory code": "CA01L", "Instrument type": "nephelometer", "Instrument name": "TSI_3563_ALT_pm10", "Instrument manufacturer": "TSI", "Instrument model": "3563", "Method ref": "CA01L_scat_coef", "Standard method": "cal-gas=CO2+AIR_truncation-correction=Anderson1998", "Inlet type": "Impactor--direct", "Inlet description": "Switched impactor at 10 um", "Humidity/temperature control": "Heating to 40% RH, limit 40 deg. C", "Volume std. temperature": "273.15 K", "Volume std. pressure": "1013.25 hPa", "Zero/negative values code": "Zero/negative possible", "Zero/negative values": "Zero and neg. values may appear due to statistical variations at very low concentrations", "Organization": "CA01L, Environment Canada, EC/AES, Atmospheric Environmental Service, 4905 Dufferin Street, , M3H 5T4, \"Downsview, Ontario\", Canada", "Framework acronym": "GAW-WDCA, NOAA-ESRL", "Framework name": "World Data Centre for Aerosols, ", "Framework description": "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., ", "Framework contact name": "Markus Fiebig, Markus Fiebig", "Framework contact email": "Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no", "Originator": "Sharma, Sangeeta, sangeeta.sharma@canada.ca, \"Climate Chemistry Measurements Research, Environment Canada\", EC, , 4905 Dufferin Street, , M3H 5T4, \"Downsview, Ontario\", Canada", "Submitter": "Sharma, Sangeeta, sangeeta.sharma@canada.ca, \"Climate Chemistry Measurements Research, Environment Canada\", EC, , 4905 Dufferin Street, , M3H 5T4, \"Downsview, Ontario\", Canada", "Acknowledgement": "Request acknowledgement details from data originator", "Comment": "Standard Anderson & Ogren 1998 values used for truncation correction" }
- standard_name_vocabulary :
- CF-1.7, ACDD-1.3
- history :
- None
- creator_url :
- ebas.nilu.no