Retrieval and Comparison of Multi-Satellite Polar Ozone Data from the EMI Series Instruments

The Environmental Trace Gases Monitoring Instrument (EMI) series are second-generation Chinese spectrometers on board the GaoFen-5 (GF-5) and DaQi-1 (DQ-1) satellites. In this study, a comparative analysis of EMI series data was conducted to determine the daily trend of ozone concentration changes owing to different transit times and to improve the overall quality and reliability of EMI series datasets. The daily EMI total ozone column (TOC) obtained using the Differential Optical Absorption Spectroscopy (DOAS) method were compared to vertical column density (VCD) gathered by the TROPOspheric Monitoring Instrument (TROPOMI). The results from October to November 2023 indicated a fine correlation (R = 0.98) between the daily EMI series data and a fine correlation (R ≥ 0.95) and spatial distribution closely resembling that of the TROPOMI TOCs. Furthermore, the EMI series data fusion results were highly correlated with TROPOMI TOCs (R = 0.99). Since the EMI series instruments had two different overpass times and the volume of available data at same pixel was increased by approximately three-fold, the temporal and spatial resolution was improved a lot. The results indicated that, compared to a single sensor, the EMI series DOAS TOCs generated more accurate and stable global TOC results and also enabled looking at the changes in the intraday TOCs. These outcomes highlight the potential of the EMI instruments for reliably monitoring the ozone variations in polar regions.

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Publication Details

Journal
Remote Sensing
Published
2024-09-28
DOI
https://doi.org/10.3390/rs16193619
Citations
5
Primary Topic
Atmospheric Ozone and Climate
Type
article
Field-Weighted Citation Impact
1.88
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article

Retrieval and Comparison of Multi-Satellite Polar Ozone Data from the EMI Series Instruments

Qidi Li, Kai Yu, Fuqi Si, Yuhan Luo et al.
5 citations
Remote Sensing
Atmospheric Ozone and Climate
1.88
article

Retrieval and Comparison of Multi-Satellite Polar Ozone Data from the EMI Series Instruments

Qidi Li, Kai Yu, Fuqi Si, Yuhan Luo, Xu Zi-Qiang, Kaili Wu
article en
5 citations

Abstract

The Environmental Trace Gases Monitoring Instrument (EMI) series are second-generation Chinese spectrometers on board the GaoFen-5 (GF-5) and DaQi-1 (DQ-1) satellites. In this study, a comparative analysis of EMI series data was conducted to determine the daily trend of ozone concentration changes owing to different transit times and to improve the overall quality and reliability of EMI series datasets. The daily EMI total ozone column (TOC) obtained using the Differential Optical Absorption Spectroscopy (DOAS) method were compared to vertical column density (VCD) gathered by the TROPOspheric Monitoring Instrument (TROPOMI). The results from October to November 2023 indicated a fine correlation (R = 0.98) between the daily EMI series data and a fine correlation (R ≥ 0.95) and spatial distribution closely resembling that of the TROPOMI TOCs. Furthermore, the EMI series data fusion results were highly correlated with TROPOMI TOCs (R = 0.99). Since the EMI series instruments had two different overpass times and the volume of available data at same pixel was increased by approximately three-fold, the temporal and spatial resolution was improved a lot. The results indicated that, compared to a single sensor, the EMI series DOAS TOCs generated more accurate and stable global TOC results and also enabled looking at the changes in the intraday TOCs. These outcomes highlight the potential of the EMI instruments for reliably monitoring the ozone variations in polar regions.

Remote SensingVol. 16(19)
University of Science and Technology of China (CN), Chinese Academy of Sciences (CN), Hefei Institutes of Physical Science (CN), Anhui Institute of Optics and Fine Mechanics (CN)
Openalex Percentile: Top 15%
Atmospheric Ozone and Climate
1.88
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Retrieval and Comparison of Multi-Satellite Polar Ozone Data from the EMI Series Instruments — Qidi Li, Kai Yu, et al. · Remote Sensing (2024) | TGRS Research Map | TGRS