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Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation

Lerot, Christophe and Hendrick, F. and Van Roozendael, M. and Alvarado, Leonardo and Richter, A. and De Smedt, Isabelle and Theys, N. and Vlietinck, Jonas and Yu, Huan and van Gent, Jeroen and Stravrakou, Trissevgeni and Muller, J.F. and Valks, Pieter and Loyola, Diego and Irie, Hitoshi and Kumar, Vinod and Wagner, Thomas and Schreier, Stefan and Sinha, Vinayak and Wang, Ting and Wang, Pucai and Retscher, Christian (2021) Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation. Atmospheric Measurement Techniques (AMT), 14 (12), pp. 7775-7807. Copernicus Publications. doi: 10.5194/amt-14-7775-2021. ISSN 1867-1381.

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Official URL: https://amt.copernicus.org/articles/14/7775/2021/


We present the first global glyoxal (CHOCHO) tropospheric column product derived from the TROPOspheric Monitoring Instrument (TROPOMI) on board the Sentinel-5 Precursor satellite. Atmospheric glyoxal results from the oxidation of other non-methane volatile organic compounds (NMVOCs) and from direct emissions caused by combustion processes. Therefore, this product is a useful indicator of VOC emissions. It is generated with an improved version of the BIRA-IASB scientific retrieval algorithm relying on the differential optical absorption spectroscopy (DOAS) approach. Among the algorithmic updates, the DOAS fit now includes corrections to mitigate the impact of spectral misfits caused by scene brightness inhomogeneity and strong NO2 absorption. The product comes along with a full error characterization, which allows for providing random and systematic error estimates for every observation. Systematic errors are typically in the range of 1 ×10^14–3 ×10^14 molec. cm−2 (∼30 %–70 % in emission regimes) and originate mostly from a priori data uncertainties and spectral interferences with other absorbing species. The latter may be at the origin, at least partly, of an enhanced glyoxal signal over equatorial oceans, and further investigation is needed to mitigate them. Random errors are large ( molec. cm−2) but can be reduced by averaging observations in space and/or time. Benefiting from a high signal-to-noise ratio and a large number of small-size observations, TROPOMI provides glyoxal tropospheric column fields with an unprecedented level of detail. Using the same retrieval algorithmic baseline, glyoxal column data sets are also generated from the Ozone Monitoring Instrument (OMI) on Aura and from the Global Ozone Monitoring Experiment-2 (GOME-2) on board Metop-A and Metop-B. Those four data sets are intercompared over large-scale regions worldwide and show a high level of consistency. The satellite glyoxal columns are also compared to glyoxal columns retrieved from ground-based Multi-AXis DOAS (MAX-DOAS) instruments at nine stations in Asia and Europe. In general, the satellite and MAX-DOAS instruments provide consistent glyoxal columns both in terms of absolute values and variability. Correlation coefficients between TROPOMI and MAX-DOAS glyoxal columns range between 0.61 and 0.87. The correlation is only poorer at one mid-latitude station, where satellite data appear to be biased low during wintertime. The mean absolute glyoxal columns from satellite and MAX-DOAS generally agree well for low/moderate columns with differences of less than 1×10^14 molec. cm−2. A larger bias is identified at two sites where the MAX-DOAS columns are very large. Despite this systematic bias, the consistency of the satellite and MAX-DOAS glyoxal seasonal variability is high.

Item URL in elib:https://elib.dlr.de/147719/
Document Type:Article
Title:Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Lerot, Christophechristophe.lerot (at) aeronomie.beUNSPECIFIED
Hendrick, F.Royal Belgian Institute for Space Aeronomy, Brussels, BelgiumUNSPECIFIED
Van Roozendael, M.Michel.VanRoozendael (at) aeronomie.beUNSPECIFIED
Alvarado, LeonardoAlfred Wegener Institute, Bremerhaven, Germanyhttps://orcid.org/0000-0002-4802-3872
Richter, A.Inst. f. Physik der Atmosphäre, Univ. Bremen, BremenUNSPECIFIED
De Smedt, IsabelleBelgian Institute for Space Aeronomy, Brussels, Belgiumhttps://orcid.org/0000-0002-3541-7725
Theys, N.Nicolas.Theys (at) aeronomie.beUNSPECIFIED
Vlietinck, JonasBelgian Institute for Space Aeronomy, Brussels, BelgiumUNSPECIFIED
Yu, HuanBelgian Institute for Space Aeronomy, Brussels, BelgiumUNSPECIFIED
van Gent, Jeroenjeroen.vangent (at) aeronomie.beUNSPECIFIED
Stravrakou, TrissevgeniBelgian Institute for Space Aeronomy, Brussels, BelgiumUNSPECIFIED
Muller, J.F.Belgian Institute for Space Aeronomy, Brussels, BUNSPECIFIED
Valks, PieterPieter.Valks (at) dlr.dehttps://orcid.org/0000-0002-2846-7863
Loyola, DiegoDiego.Loyola (at) dlr.dehttps://orcid.org/0000-0002-8547-9350
Irie, HitoshiCenter for Environmental Remote Sensing, Chiba University (Chiba U), Chiba, JapanUNSPECIFIED
Kumar, VinodMax Planck Institute for Chemistry, Mainz, GermanyUNSPECIFIED
Wagner, Thomasthomas.wagner (at) mpic.deUNSPECIFIED
Schreier, StefanInstitute of Meteorology and Climatology, University of Natural Resources and Life Sciences, Vienna, AustriaUNSPECIFIED
Sinha, VinayakDepartment of Earth and Environmental Sciences, Indian Institute of Science Education and Research (IISER), Mohali, Indiahttps://orcid.org/0000-0002-5508-0779
Wang, TingInstitute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaUNSPECIFIED
Wang, PucaiInstitute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaUNSPECIFIED
Retscher, ChristianDirectorate of Earth Observation Programmes, European Space Agency (ESA), ESRIN, 00044 Frascati, ItalyUNSPECIFIED
Date:10 December 2021
Journal or Publication Title:Atmospheric Measurement Techniques (AMT)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
DOI :10.5194/amt-14-7775-2021
Page Range:pp. 7775-7807
Publisher:Copernicus Publications
Keywords:Glyoxal, TROPOMI, Sentinel-5 Precursor, satellite, air quality
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Atmospheric and climate research, R - Spectroscopic methods of the atmosphere
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Valks, Dr. Pieter
Deposited On:20 Dec 2021 12:58
Last Modified:02 Feb 2022 18:22

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