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Satellite-based estimation of surface NO2 concentrations over east-central China: A comparison of POMINO and OMNO2d data

Qin, Kai and Han, Xu and Li, Donghui and Xu, Jian and Loyola, Diego and Xue, Yong and Zhou, Xiran and Li, Ding and Zhang, Kefei and Yuan, Limei (2020) Satellite-based estimation of surface NO2 concentrations over east-central China: A comparison of POMINO and OMNO2d data. Atmospheric Environment, 224 (117322), pp. 1-10. Elsevier. DOI: 10.1016/j.atmosenv.2020.117322 ISSN 1352-2310

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Official URL: https://www.sciencedirect.com/science/article/abs/pii/S1352231020300637

Abstract

The OMI NO2 standard product, OMNO2d, has been widely used in estimating surface NO2 concentrations. The Peking University Ozone Monitoring Instrument NO2 product (POMINO) is claimed to provide an improved quality over east-central China. This study estimated one year (Dec.2016–Nov.2017) of surface NO2 concentrations at satellite overpass time based on OMNO2d data and POMINO data, respectively. We used an extra-trees (ET) regression model to convey the non-linear relationship between surface NO2 and predictors, and compared the prediction accuracy with that of random forests (RF) regression model. The ET model showed a better estimation performance than the RF model, with the cross-validation R2 of 0.72 (RMSE = 9.20 μg/m3) and R2 of 0.70 (RMSE = 9.42 μg/m3) based on POMINO and OMNO2d data, respectively. The POMINO-derived monthly mean surface NO2 concentrations were closer to ground NO2 measurements than that OMNO2d-derived. Although the estimations from both satellite products were underestimated in polluted situations, the use of POMINO reduced the underestimation as compared to the use of OMNO2d data.

Item URL in elib:https://elib.dlr.de/134336/
Document Type:Article
Title:Satellite-based estimation of surface NO2 concentrations over east-central China: A comparison of POMINO and OMNO2d data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Qin, KaiSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, ChinaUNSPECIFIED
Han, XuSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, ChinaUNSPECIFIED
Li, DonghuiSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, ChinaUNSPECIFIED
Xu, Jianjian.xu (at) dlr.dehttps://orcid.org/0000-0003-2348-125X
Loyola, DiegoDiego.Loyola (at) dlr.dehttps://orcid.org/0000-0002-8547-9350
Xue, YongSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, ChinaUNSPECIFIED
Zhou, XiranSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, ChinaUNSPECIFIED
Li, DingSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, ChinaUNSPECIFIED
Zhang, KefeiSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, ChinaUNSPECIFIED
Yuan, LimeiSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, ChinaUNSPECIFIED
Date:March 2020
Journal or Publication Title:Atmospheric Environment
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:224
DOI :10.1016/j.atmosenv.2020.117322
Page Range:pp. 1-10
Publisher:Elsevier
ISSN:1352-2310
Status:Published
Keywords:NO2; OMI; POMINO; OMNO2d; Extra trees; Random forest
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: Xu, Dr.-Ing. Jian
Deposited On:22 Apr 2020 11:47
Last Modified:19 May 2020 09:33

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