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Property
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Value
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DOI
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10.18758/71021031
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Title
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QA4ECV HCHO tropospheric 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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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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Yu, Huan
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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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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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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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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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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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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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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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Wagner, Thomas
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Affiliation
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Max Planck Institute for Chemistry (MPIC)
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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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Peters, Enno
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Affiliation
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Institute for Environmental Physics, University of Bremen (IUPB)
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Publisher
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Royal Belgian Institute for Space Aeronomy
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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 HCHO Essential Climate Variable precursor product contains
harmonized HCHO tropospheric column densities.
The HCHO 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 tropospheric HCHO 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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formaldehyde
tropospheric HCHO
OMI
EOS-Aura
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AGU index terms
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0315 Biosphere atmosphere interactions
0345 Pollution, Urban and Regional
0365 Troposphere, Composition and Chemistry
0368 Troposphere, Constituent Transport and Chemistry
1631 Land/atmospehre interactions
1632 Land cover change
3360 Remote Sensing
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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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36 MB per orbit
540 MB per day
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