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    Validation of Aura-OMI QA4ECV NO₂ climate data records with ground-based DOAS networks: the role of measurement and comparison uncertainties

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    Authors
    Compernolle, S.
    Verhoelst, T.
    Pinardi, G.
    Granville, J.
    Hubert, D.
    Keppens, A.
    Niemeijer, S.
    Rino, B.
    Bais, A.
    Beirle, S.
    Boersma, F.
    Burrows, J.P.
    De Smedt, I.
    Eskes, H.
    Goutail, F.
    Hendrick, F.
    Lorente, A.
    Pazmino, A.
    Piters, A.
    Peters, E.
    Pommereau, J.-P.
    Remmers, J.
    Richter, A.
    Van Geffen, J.
    Van Roozendael, M.
    Wagner, T.
    Lambert, J.-C.
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    Discipline
    Earth and related Environmental sciences
    Audience
    Scientific
    Date
    2020
    Metadata
    Show full item record
    Description
    The QA4ECV (Quality Assurance for Essential Climate Variables) version 1.1 stratospheric and tropospheric NO2 vertical column density (VCD) climate data records (CDRs) from the OMI (Ozone Monitoring Instrument) satellite sensor are validated using NDACC (Network for the Detection of Atmospheric Composition Change) zenith-scattered light differential optical absorption spectroscopy (ZSL-DOAS) and multi-axis DOAS (MAX-DOAS) data as a reference. The QA4ECV OMI stratospheric VCDs have a small bias of ∼0.2 Pmolec.cm−2 (5 %–10 %) and a dispersion of 0.2 to 1 Pmolec.cm−2 with respect to the ZSL-DOAS measurements. QA4ECV tropospheric VCD observations from OMI are restricted to near-cloud-free scenes, leading to a negative sampling bias (with respect to the unrestricted scene ensemble) of a few peta molecules per square centimetre (Pmolec.cm−2) up to −10 Pmolec.cm−2 (−40 %) in one extreme high-pollution case. The QA4ECV OMI tropospheric VCD has a negative bias with respect to the MAX-DOAS data (−1 to −4 Pmolec.cm−2), which is a feature also found for the OMI OMNO2 standard data product. The tropospheric VCD discrepancies between satellite measurements and ground-based data greatly exceed the combined measurement uncertainties. Depending on the site, part of the discrepancy can be attributed to a combination of comparison errors (notably horizontal smoothing difference error), measurement/retrieval errors related to clouds and aerosols, and the difference in vertical smoothing and a priori profile assumptions.
    Citation
    Compernolle, S.; Verhoelst, T.; Pinardi, G.; Granville, J.; Hubert, D.; Keppens, A.; Niemeijer, S.; Rino, B.; Bais, A.; Beirle, S.; Boersma, F.; Burrows, J.P.; De Smedt, I.; Eskes, H.; Goutail, F.; Hendrick, F.; Lorente, A.; Pazmino, A.; Piters, A.; Peters, E.; Pommereau, J.-P.; Remmers, J.; Richter, A.; Van Geffen, J.; Van Roozendael, M.; Wagner, T.; Lambert, J.-C. (2020). Validation of Aura-OMI QA4ECV NO₂ climate data records with ground-based DOAS networks: the role of measurement and comparison uncertainties. , Atmospheric Chemistry and Physics, Vol. 20, Issue 13, 8017-8045, DOI: 10.5194/acp-20-8017-2020.
    Identifiers
    uri: https://orfeo.belnet.be/handle/internal/7563
    doi: http://dx.doi.org/10.5194/acp-20-8017-2020
    Type
    Article
    Peer-Review
    Yes
    Language
    eng
    Links
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