Validation of tropospheric NO<sub>2</sub> column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations
-
Published:2020-11-18
Issue:11
Volume:13
Page:6141-6174
-
ISSN:1867-8548
-
Container-title:Atmospheric Measurement Techniques
-
language:en
-
Short-container-title:Atmos. Meas. Tech.
Author:
Pinardi GaiaORCID, Van Roozendael Michel, Hendrick François, Theys Nicolas, Abuhassan Nader, Bais AlkiviadisORCID, Boersma FolkertORCID, Cede Alexander, Chong Jihyo, Donner SebastianORCID, Drosoglou Theano, Dzhola Anatoly, Eskes HenkORCID, Frieß UdoORCID, Granville José, Herman Jay R.ORCID, Holla RobertORCID, Hovila Jari, Irie Hitoshi, Kanaya Yugo, Karagkiozidis Dimitris, Kouremeti Natalia, Lambert Jean-ChristopherORCID, Ma JianzhongORCID, Peters EnnoORCID, Piters Ankie, Postylyakov OlegORCID, Richter AndreasORCID, Remmers Julia, Takashima Hisahiro, Tiefengraber Martin, Valks Pieter, Vlemmix Tim, Wagner Thomas, Wittrock Folkard
Abstract
Abstract. Multi-axis differential optical absorption spectroscopy (MAX-DOAS) and direct sun NO2
vertical column network data are used to investigate the accuracy of tropospheric NO2
column measurements of the GOME-2 instrument on the MetOp-A satellite platform and the OMI
instrument on Aura. The study is based on 23 MAX-DOAS and 16 direct sun instruments at stations
distributed worldwide. A method to quantify and correct for horizontal dilution effects in
heterogeneous NO2 field conditions is proposed. After systematic application of this
correction to urban sites, satellite measurements are found to present smaller biases compared to
ground-based reference data in almost all cases. We investigate the seasonal dependence of the
validation results as well as the impact of using different approaches to select satellite ground
pixels in coincidence with ground-based data. In optimal comparison conditions (satellite pixels
containing the station) the median bias between satellite tropospheric NO2 column
measurements and the ensemble of MAX-DOAS and direct sun measurements is found to be significant
and equal to −34 % for GOME-2A and −24 % for OMI. These biases are further reduced to
−24 % and −18 % respectively, after application of the dilution
correction. Comparisons with the QA4ECV satellite product for both GOME-2A and OMI are also
performed, showing less scatter but also a slightly larger median tropospheric NO2
column bias with respect to the ensemble of MAX-DOAS and direct sun measurements.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference143 articles.
1. Acarreta, J. R., de Haan, J. F., and Stammes, P.: Cloud pressure retrieval using the O2-O2 absorption band at 477 nm, J. Geophys. Res., 109, D05204, https://doi.org/10.1029/2003JD003915, 2004. 2. Beirle, S., Hörmann, C., Jöckel, P., Liu, S., Penning de Vries, M., Pozzer, A., Sihler,
H., Valks, P., and Wagner, T.: The STRatospheric Estimation Algorithm from Mainz (STREAM):
estimating stratospheric NO2 from nadir-viewing satellites by weighted convolution,
Atmos. Meas. Tech., 9, 2753–2779, https://doi.org/10.5194/amt-9-2753-2016, 2016. 3. Beirle, S., Dörner, S., Donner, S., Remmers, J., Wang, Y., and Wagner, T.: The Mainz
profile algorithm (MAPA), Atmos. Meas. Tech., 12, 1785–1806,
https://doi.org/10.5194/amt-12-1785-2019, 2019. 4. Belmonte Rivas, M., Veefkind, P., Eskes, H., and Levelt, P.: OMI tropospheric NO2
profiles from cloud slicing: constraints on surface emissions, convective transport and lightning
NOx, Atmos. Chem. Phys., 15, 13519–13553, https://doi.org/10.5194/acp-15-13519-2015, 2015. 5. Bobrowski, N., Hönninger, G., Galle, B., and Platt, U.: Detection of bromine monoxide in a volcanic plume, Nature, 423, 273–276, 2003.
Cited by
31 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|