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DOI10.5194/acp-20-8017-2020
Validation of Aura-OMI QA4ECV NO2 climate data records with ground-based DOAS networks: The role of measurement and comparison uncertainties
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.
发表日期2020
ISSN1680-7316
起始页码8017
结束页码8045
卷号20期号:13
英文摘要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) zenithscattered 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 ZSLDOAS 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. © 2020 Copernicus GmbH. All rights reserved.
语种英语
scopus关键词atmospheric chemistry; comparative study; light scattering; nitrogen dioxide; qualitative analysis; satellite sensor; stratosphere-troposphere interaction; uncertainty analysis
来源期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/247660
作者单位Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Uccle, Belgium; S[and]t Corporation, Delft, Netherlands; Aristotle University of Thessaloniki, Laboratory of Atmospheric Physics (AUTH), Thessaloniki, Greece; Max Planck Institute for Chemistry (MPIC), Mainz, Germany; Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands; Institute of Environmental Physics, University of Bremen (IUP-B), Bremen, Germany; Laboratoire Atmosphères, Milieux, Observations Spatiales, CNRS, Guyancourt, France; Wageningen University, Meteorology and Air Quality Group, Wageningen, Netherlands
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Compernolle S.,Verhoelst T.,Pinardi G.,et al. Validation of Aura-OMI QA4ECV NO2 climate data records with ground-based DOAS networks: The role of measurement and comparison uncertainties[J],2020,20(13).
APA Compernolle S..,Verhoelst T..,Pinardi G..,Granville J..,Hubert D..,...&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,20(13).
MLA Compernolle S.,et al."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 20.13(2020).
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