First Retrieval of Total Ozone Columns from EMI-2 Using the DOAS Method
The Environmental Trace Gases Monitoring Instrument 2 (EMI-2), a second-generation Chinese hyperspectral satellite-based spectrometer, was launched on 7 September 2021. The total ozone column (TOC) product, which is one of the most important elements of the EMI-2 mission, is required for monitoring...
Published in: | Remote Sensing |
---|---|
Main Authors: | , , , , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2023
|
Subjects: | |
Online Access: | https://doi.org/10.3390/rs15061665 |
id |
ftmdpi:oai:mdpi.com:/2072-4292/15/6/1665/ |
---|---|
record_format |
openpolar |
spelling |
ftmdpi:oai:mdpi.com:/2072-4292/15/6/1665/ 2023-08-20T04:00:57+02:00 First Retrieval of Total Ozone Columns from EMI-2 Using the DOAS Method Yuanyuan Qian Yuhan Luo Haijin Zhou Taiping Yang Liang Xi Fuqi Si agris 2023-03-20 application/pdf https://doi.org/10.3390/rs15061665 EN eng Multidisciplinary Digital Publishing Institute Atmospheric Remote Sensing https://dx.doi.org/10.3390/rs15061665 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 15; Issue 6; Pages: 1665 EMI-2 total ozone columns DOAS ozone hole Text 2023 ftmdpi https://doi.org/10.3390/rs15061665 2023-08-01T09:20:47Z The Environmental Trace Gases Monitoring Instrument 2 (EMI-2), a second-generation Chinese hyperspectral satellite-based spectrometer, was launched on 7 September 2021. The total ozone column (TOC) product, which is one of the most important elements of the EMI-2 mission, is required for monitoring the Antarctic ozone hole and regional tropospheric ozone pollution. The first EMI-2 TOC results using the differential optical absorption spectroscopy (DOAS) method are presented in this study. Significant improvements, such as the fitting interval, reference spectrum, and iterative air mass factor (AMF) calculation scheme, were implemented in the EMI-2 TOC retrieval in comparison with the EMI DOAS TOC algorithm, thus generating more accurate reads. The monthly average EMI-2 DOAS TOCs in November 2021 were compared with the TROPOspheric Monitoring Instrument (TROPOMI) TOCs, and the results showed a good correlation (R = 0.99). The EMI-2 TOCs showed similar global spatial distributions to those of TROPOMI, with an overall mean relative bias and mean standard deviation of 0.16% and 2.38%, respectively. However, large differences (up to 7%) appeared in some polar areas near the coastline, which were mainly caused by different surface albedo algorithms. Furthermore, ground-based measurements from 20 stations across different latitudes derived from the World Ozone and Ultraviolet Radiation Data Center dataset were used to assess the accuracy of the EMI-2 DOAS TOCs, and they had a mean relative bias and mean standard deviation of 0.70% and 3.65%, respectively. These results indicate that the EMI-2 DOAS TOC algorithm can yield reliable global TOCs and monitor daily Antarctic TOCs for assessing the healing of ozone holes. Text Antarc* Antarctic MDPI Open Access Publishing Antarctic The Antarctic Remote Sensing 15 6 1665 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
EMI-2 total ozone columns DOAS ozone hole |
spellingShingle |
EMI-2 total ozone columns DOAS ozone hole Yuanyuan Qian Yuhan Luo Haijin Zhou Taiping Yang Liang Xi Fuqi Si First Retrieval of Total Ozone Columns from EMI-2 Using the DOAS Method |
topic_facet |
EMI-2 total ozone columns DOAS ozone hole |
description |
The Environmental Trace Gases Monitoring Instrument 2 (EMI-2), a second-generation Chinese hyperspectral satellite-based spectrometer, was launched on 7 September 2021. The total ozone column (TOC) product, which is one of the most important elements of the EMI-2 mission, is required for monitoring the Antarctic ozone hole and regional tropospheric ozone pollution. The first EMI-2 TOC results using the differential optical absorption spectroscopy (DOAS) method are presented in this study. Significant improvements, such as the fitting interval, reference spectrum, and iterative air mass factor (AMF) calculation scheme, were implemented in the EMI-2 TOC retrieval in comparison with the EMI DOAS TOC algorithm, thus generating more accurate reads. The monthly average EMI-2 DOAS TOCs in November 2021 were compared with the TROPOspheric Monitoring Instrument (TROPOMI) TOCs, and the results showed a good correlation (R = 0.99). The EMI-2 TOCs showed similar global spatial distributions to those of TROPOMI, with an overall mean relative bias and mean standard deviation of 0.16% and 2.38%, respectively. However, large differences (up to 7%) appeared in some polar areas near the coastline, which were mainly caused by different surface albedo algorithms. Furthermore, ground-based measurements from 20 stations across different latitudes derived from the World Ozone and Ultraviolet Radiation Data Center dataset were used to assess the accuracy of the EMI-2 DOAS TOCs, and they had a mean relative bias and mean standard deviation of 0.70% and 3.65%, respectively. These results indicate that the EMI-2 DOAS TOC algorithm can yield reliable global TOCs and monitor daily Antarctic TOCs for assessing the healing of ozone holes. |
format |
Text |
author |
Yuanyuan Qian Yuhan Luo Haijin Zhou Taiping Yang Liang Xi Fuqi Si |
author_facet |
Yuanyuan Qian Yuhan Luo Haijin Zhou Taiping Yang Liang Xi Fuqi Si |
author_sort |
Yuanyuan Qian |
title |
First Retrieval of Total Ozone Columns from EMI-2 Using the DOAS Method |
title_short |
First Retrieval of Total Ozone Columns from EMI-2 Using the DOAS Method |
title_full |
First Retrieval of Total Ozone Columns from EMI-2 Using the DOAS Method |
title_fullStr |
First Retrieval of Total Ozone Columns from EMI-2 Using the DOAS Method |
title_full_unstemmed |
First Retrieval of Total Ozone Columns from EMI-2 Using the DOAS Method |
title_sort |
first retrieval of total ozone columns from emi-2 using the doas method |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2023 |
url |
https://doi.org/10.3390/rs15061665 |
op_coverage |
agris |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
Remote Sensing; Volume 15; Issue 6; Pages: 1665 |
op_relation |
Atmospheric Remote Sensing https://dx.doi.org/10.3390/rs15061665 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs15061665 |
container_title |
Remote Sensing |
container_volume |
15 |
container_issue |
6 |
container_start_page |
1665 |
_version_ |
1774721603674832896 |