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An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2)

Liu, Song and Valks, Pieter and Pinardi, Gaia and Xu, Jian and Argyrouli, Athina and Lutz, Ronny and Tilstra, L.G. and Huijnen, V. and Hendrick, F. and Van Roozendael, M. (2020) An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2). Atmospheric Measurement Techniques (AMT), 13 (2), pp. 755-787. Copernicus Publications. DOI: 10.5194/amt-13-755-2020 ISSN 1867-1381

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Official URL: https://www.atmos-meas-tech.net/13/755/2020/

Abstract

An improved tropospheric nitrogen dioxide (NO2) retrieval algorithm from the Global Ozone Monitoring Experiment-2 (GOME-2) instrument based on air mass factor (AMF) calculations performed with more realistic model parameters is presented. The viewing angle dependency of surface albedo is taken into account by improving the GOME-2 Lambertian-equivalent reflectivity (LER) climatology with a directionally dependent LER (DLER) dataset over land and an ocean surface albedo parameterisation over water. A priori NO2 profiles with higher spatial and temporal resolutions are obtained from the IFS (CB05BASCOE) chemistry transport model based on recent emission inventories. A more realistic cloud treatment is provided by a clouds-as-layers (CAL) approach, which treats the clouds as uniform layers of water droplets, instead of the current clouds-as-reflecting-boundaries (CRB) model, which assumes that the clouds are Lambertian reflectors. On average, improvements in the AMF calculation affect the tropospheric NO2 columns by ±15 % in winter and ±5 % in summer over largely polluted regions. In addition, the impact of aerosols on our tropospheric NO2 retrieval is investigated by comparing the concurrent retrievals based on ground-based aerosol measurements (explicit aerosol correction) and the aerosol-induced cloud parameters (implicit aerosol correction). Compared with the implicit aerosol correction utilising the CRB cloud parameters, the use of the CAL approach reduces the AMF errors by more than 10 %. Finally, to evaluate the improved GOME-2 tropospheric NO2 columns, a validation is performed using ground-based multi-axis differential optical absorption spectroscopy (MAXDOAS) measurements at different BIRA-IASB stations. At the suburban Xianghe station, the improved tropospheric NO2 dataset shows better agreement with coincident ground-based measurements with a correlation coefficient of 0.94.

Item URL in elib:https://elib.dlr.de/134207/
Document Type:Article
Title:An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2)
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Liu, SongSong.Liu (at) dlr.deUNSPECIFIED
Valks, PieterPieter.Valks (at) dlr.deUNSPECIFIED
Pinardi, Gaiagaia.pinardi (at) aeronomie.beUNSPECIFIED
Xu, Jianjian.xu (at) dlr.dehttps://orcid.org/0000-0003-2348-125X
Argyrouli, Athinaathina.argyrouli (at) dlr.deUNSPECIFIED
Lutz, RonnyRonny.Lutz (at) dlr.deUNSPECIFIED
Tilstra, L.G.KNMIUNSPECIFIED
Huijnen, V.KNMIUNSPECIFIED
Hendrick, F.Belgian Institute for Space AeronomyUNSPECIFIED
Van Roozendael, M.Michel.VanRoozendael (at) aeronomie.beUNSPECIFIED
Date:February 2020
Journal or Publication Title:Atmospheric Measurement Techniques (AMT)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:13
DOI :10.5194/amt-13-755-2020
Page Range:pp. 755-787
Publisher:Copernicus Publications
ISSN:1867-1381
Status:Published
Keywords:nitrogen dioxide, satellite, GOME, retrieval, air mass factor
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Atmosphären- und Klimaforschung
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Valks, Dr. Pieter
Deposited On:05 Mar 2020 12:42
Last Modified:05 Mar 2020 12:42

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