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Property
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Value
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DOI
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10.21944/qa4ecv-no2-omi-v1.1
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Title
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QA4ECV NO2 tropospheric and stratospheric column data from OMI
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Version
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1.1
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Authors
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Name
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Boersma, K. Folkert
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Affiliation
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Royal Netherlands Meteorological Institute (KNMI)
Wageningen University and Research (WUR)
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Name
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Eskes, Henk
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Affiliation
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Royal Netherlands Meteorological Institute (KNMI)
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Name
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Richter, Andreas
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Affiliation
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Institute for Environmental Physics, University of Bremen (IUPB)
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Name
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De Smedt, Isabelle
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Affiliation
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Belgian Institute for Space Aeronomy (BIRA-IASB)
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Name
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Lorente, Alba
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Affiliation
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Wageningen University and Research (WUR)
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Name
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Beirle, Steffen
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Affiliation
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Max Planck Institute for Chemistry (MPIC)
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Name
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Van Geffen, Jos
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Affiliation
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Royal Netherlands Meteorological Institute (KNMI)
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Name
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Peters, Enno
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Affiliation
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Institute for Environmental Physics, University of Bremen (IUPB)
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Name
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Van Roozendael, Michel
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Affiliation
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Belgian Institute for Space Aeronomy (BIRA-IASB)
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Name
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Wagner, Thomas
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Affiliation
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Max Planck Institute for Chemistry (MPIC)
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Publisher
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Royal Netherlands Meteorological Institute (KNMI)
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Publication Year
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2017
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Dataset date
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Collected 2004-10-01 / (to be assigned later)
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Dataset type
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Satellite data
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Description
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The QA4ECV NO2 Essential Climate Variable precursor product contains
harmonized vertical NO2 column data: tropospheric vertical column
densities and stratospheric vertical column densities.
The NO2 ECV precursor data in this dataset provides geophysical
information for ground pixels observed by the Ozone Monitoring
Instrument (OMI, aboard the EOS-Aura satellite; overpass time:
circa 13:40 hrs) for the period October 2004 onwards.
In addition to the vertical NO2 columns, the product contains
intermediate results, such as the result of the spectral fit,
fitting diagnostics, the averaging kernel, cloud information,
and algorithm and product uncertainty estimates.
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Funding
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Funder name
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European Union Framework Program 7
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Grant number
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607405
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Grant title
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QA4ECV
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Keywords
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free list
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nitrogen dioxide
tropospheric NO2
stratospheric NO2
OMI
EOS-Aura
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AGU index terms
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0345 Pollution, Urban and Regional
0365 Troposphere, Composition and Chemistry
0368 Troposphere, Constituent Transport and Chemistry
3360 Remote Sensing
3363 Stratospheric Dynamics
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Geolocation
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Longitude range
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−180.0 to +180.0
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Latitude range
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−90.0 to +90.0
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Dataset format
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application/x-netcdf
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Dataset size
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26 MB per orbit
350 - 380 MB per day
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