
1.School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China
2.Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
3.Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
4.Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
5.Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, University of Science and Technology of China, Hefei 230026, China
6.Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Cheng Liu (chliu81@ustc.edu.cn)
Ka Lok Chan (ka.chan@dlr.de)
Published:2020,
Published Online:20 April 2020,
Received:24 December 2019,
Revised:23 March 2020,
Accepted:30 March 2020
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Zhang, C. X. et al. First observation of tropospheric nitrogen dioxide from the Environmental Trace Gases Monitoring Instrument onboard the GaoFen-5 satellite. Light: Science & Applications, 9, 677-685 (2020).
Zhang, C. X. et al. First observation of tropospheric nitrogen dioxide from the Environmental Trace Gases Monitoring Instrument onboard the GaoFen-5 satellite. Light: Science & Applications, 9, 677-685 (2020). DOI: 10.1038/s41377-020-0306-z.
The Environmental Trace Gases Monitoring Instrument (EMI) is the first Chinese satellite-borne UV-Vis spectrometer aiming to measure the distribution of atmospheric trace gases on a global scale. The EMI instrument onboard the GaoFen-5 satellite was launched on 9 May 2018. In this paper
we present the tropospheric nitrogen dioxide (NO
2
) vertical column density (VCD) retrieval algorithm dedicated to EMI measurement. We report the first successful retrieval of tropospheric NO
2
VCD from the EMI instrument. Our retrieval improved the original EMI NO
2
prototype algorithm by modifying the setting
s of the spectral fit and air mass factor calculations to account for the on-orbit instrumental performance changes. The retrieved EMI NO
2
VCDs generally show good spatiotemporal agreement with the satellite-borne Ozone Monitoring Instrument and TROPOspheric Monitoring Instrument (correlation coefficient
R
of ~0.9
bias
<
50%). A comparison with ground-based MAX-DOAS (Multi-Axis Differential Optical Absorption Spectroscopy) observations also shows good correlation with an
R
of 0.82. The results indicate that the EMI NO
2
retrieval algorithm derives reliable and precise results
and this algorithm can feasibly produce stable operational products that can contribute to global air pollution monitoring.
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