Preflight Evaluation of the Performance of the Chinese Environmental Trace Gas Monitoring Instrument (EMI) by Spectral Analyses of Nitrogen Dioxide

Zhang, Chengxin; Liu, Cheng; Wang, Yang; Si, Fuqi; Zhou, Haijin; Zhao, Mingsong; Su, Wenjing; Zhang, Wenqiang; Chan, Ka Lok; Liu, Xiong; Xie, Pinhua; Liu, Jianguo; Wagner, Thomas

doi:10.1109/tgrs.2018.2798038

Cited by 30 publications

(9 citation statements)

References 36 publications

(29 reference statements)

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“…The following sharp decrease in PM 2.5 concentration during 2012–2017 could be possibly caused by the trend reversal in NO 2 in 2011 and the effective emission reductions in other aerosol precursors, such as SO 2 and NH 3 (ammonia), due to the APPCAP 41 . This study provides novel insight into natural and human factors affecting air quality evolution over eastern China and will be further extended by satellite spectral measurements with higher spatial resolution from newly launched space-borne instruments, such as TROPOMI 42 and EMI 43 .…”

Section: Discussionmentioning

confidence: 98%

Satellite UV-Vis spectroscopy: implications for air quality trends and their driving forces in China during 2005–2017

et al. 2019

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Abundances of a range of air pollutants can be inferred from satellite UV-Vis spectroscopy measurements by using the unique absorption signatures of gas species. Here, we implemented several spectral fitting methods to retrieve tropospheric NO2, SO2, and HCHO from the ozone monitoring instrument (OMI), with radiative simulations providing necessary information on the interactions of scattered solar light within the atmosphere. We analyzed the spatial distribution and temporal trends of satellite-observed air pollutants over eastern China during 2005–2017, especially in heavily polluted regions. We found significant decreasing trends in NO2 and SO2 since 2011 over most regions, despite varying temporal features and turning points. In contrast, an overall increasing trend was identified for tropospheric HCHO over these regions in recent years. Furthermore, generalized additive models were implemented to understand the driving forces of air quality trends in China and assess the effectiveness of emission controls. Our results indicated that although meteorological parameters, such as wind, water vapor, solar radiation and temperature, mainly dominated the day-to-day and seasonal fluctuations in air pollutants, anthropogenic emissions played a unique role in the long-term variation in the ambient concentrations of NO2, SO2, and HCHO in the past 13 years. Generally, recent declines in NO2 and SO2 could be attributed to emission reductions due to effective air quality policies, and the opposite trends in HCHO may urge the need to control anthropogenic volatile organic compound (VOC) emissions.

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Section: Discussionmentioning

confidence: 98%

Satellite UV-Vis spectroscopy: implications for air quality trends and their driving forces in China during 2005–2017

et al. 2019

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“…The satellite has four TIR channels centered at 8.20 µm (channel 9: 8.01-8.39 µm), 8.63 µm (channel 10: 8.42-8.83 µm), 10.80 µm (channel 11: 10.30-11.30 µm), and 11.95 µm (channel 12: 11.40-12.50 µm), with a 40 m spatial resolution. There are two terrestrial observation payloads and four atmospheric observation payloads on the GF5 satellite, which enable the GF5 satellite to be used for air pollution, inland water bodies, terrestrial surface ecological environment, mineral exploration and other aspects [26]- [30], [32], [32].…”

Section: Introductionmentioning

confidence: 99%

Surface Temperature Retrieval From Gaofen-5 Observation and its Validation

2021

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Surface temperature (ST) plays a great role in urban heat island effect, environment monitoring, earth resources monitoring, and water balance at local and global scales. The Chinese Gaofen-5 (GF5) satellite can capture Earth's thermal infrared information for use in national high-resolution Earth observations. In this article, the nonlinear split-window algorithm and the refined generalized split-window method are used to retrieve sea surface temperature (SST) and land surface temperature (LST) from GF5 observations. For different atmospheric and surface conditions, the algorithm coefficients are calculated using a statistical regression method from the numerical values simulated with the atmospheric radiative transfer model MODTRAN 5.0. The simulation results show that the root mean square error (RMSE) for SST and LST retrieval ranges from 0.09 K to 0.46 K and 0.19 K to 0.69 K, respectively, with increasing water vapor content (WVC). To validate the retrieved STs, Moderate Resolution Imaging Spectroradiometer (MODIS) STs extracted from the MYD11A1 product are used. Note that the RMSEs of both the LST and SST are less than 3.3 K. The RMSE for SST retrieval varies from 1.2 K to 1.45 K, with a mean value of 1.33 K; the RMSE for LST retrieval ranges from 1.57 K to 3.3 K, with a mean value of 2.41 K.

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“…The Environmental Trace Gases Monitoring Instrument (EMI) 1 is the first Chinese satellite-borne spectrometer with the aim to measure atmospheric pollutants from space. The EMI payload onboard the GaoFen-5 satellite was successfully launched on 9 May 2018.…”

Section: Introductionmentioning

confidence: 99%

First observation of tropospheric nitrogen dioxide from the Environmental Trace Gases Monitoring Instrument onboard the GaoFen-5 satellite

et al. 2020

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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 settings 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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Preflight Evaluation of the Performance of the Chinese Environmental Trace Gas Monitoring Instrument (EMI) by Spectral Analyses of Nitrogen Dioxide

Cited by 30 publications

References 36 publications

Satellite UV-Vis spectroscopy: implications for air quality trends and their driving forces in China during 2005–2017

Satellite UV-Vis spectroscopy: implications for air quality trends and their driving forces in China during 2005–2017

Surface Temperature Retrieval From Gaofen-5 Observation and its Validation

First observation of tropospheric nitrogen dioxide from the Environmental Trace Gases Monitoring Instrument onboard the GaoFen-5 satellite

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