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  Ground-based validation of the MetOp-A and MetOp-B GOME-2 OClO measurements

Pinardi, G., Roozendael, M. V., Hendrick, F., Richter, A., Valks, P., Alwarda, R., et al. (2022). Ground-based validation of the MetOp-A and MetOp-B GOME-2 OClO measurements. Atmospheric Measurement Techniques, 15(11), 3439-3463. doi:10.5194/amt-15-3439-2022.

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 Urheber:
Pinardi, Gaia, Autor
Roozendael, Michel Van, Autor
Hendrick, François, Autor
Richter, Andreas, Autor
Valks, Pieter, Autor
Alwarda, Ramina, Autor
Bognar, Kristof, Autor
a, Autor
Frieß, Udo, Autor
Granville, José, Autor
Gu, Myojeong, Autor
Johnston, Paul, Autor
Prados-Roman, Cristina, Autor
Querel, Richard, Autor
Strong, Kimberly, Autor
Wagner, Thomas1, Autor           
Wittrock, Folkard, Autor
Gonzalez, Margarita Yela, Autor
Affiliations:
1Satellite Remote Sensing, Max Planck Institute for Chemistry, Max Planck Society, ou_1826293              

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 Zusammenfassung: This paper reports on ground-based validation of the atmospheric OClO data record produced within the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC SAF) using the Global Ozone Monitoring Experiment (GOME)-2A and GOME-2B instrument measurements, covering the 2007–2016 and 2013–2016 periods, respectively. OClO slant column densities are compared to correlative measurements collected from nine Zenith-Scattered-Light Differential Optical Absorption Spectroscopy (ZSL-DOAS) instruments from the Network for the Detection of Atmospheric Composition Change (NDACC) distributed in both the Arctic and Antarctic. Sensitivity tests are performed on the ground-based data to estimate the impact of the different OClO DOAS analysis settings. On this basis, we infer systematic uncertainties of about 25 % (i.e., about 3.75×1013 molec. cm−2) between the different ground-based data analyses, reaching total uncertainties ranging from about 26 % to 33 % for the different stations (i.e., around 4 to 5×1013 molec. cm−2). Time series at the different sites show good agreement between satellite and ground-based data for both the inter-annual variability and the overall OClO seasonal behavior. GOME-2A results are found to be noisier than those of GOME-2B, especially after 2011, probably due to instrumental degradation effects. Daily linear regression analysis for OClO-activated periods yield correlation coefficients of 0.8 for GOME-2A and 0.87 for GOME-2B, with slopes with respect to the ground-based data ensemble of 0.64 and 0.72, respectively. Satellite minus ground-based offsets are within 8×1013 molec. cm−2, with some differences between GOME-2A and GOME-2B depending on the station. Overall, considering all the stations, a median offset of about  molec. cm−2 is found for both GOME-2 instruments.

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Sprache(n): eng - English
 Datum: 2022-07-04
 Publikationsstatus: Online veröffentlicht
 Seiten: 43
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.5194/amt-15-3439-2022
 Art des Abschluß: -

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Titel: Atmospheric Measurement Techniques
  Kurztitel : AMT
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: Göttingen : European Geosciences Union, Copernicus
Seiten: - Band / Heft: 15 (11) Artikelnummer: - Start- / Endseite: 3439 - 3463 Identifikator: ISSN: 1867-1381
CoNE: https://pure.mpg.de/cone/journals/resource/1867-1381