Evaluating the Performance of Ozone Products Derived from CrIS/NOAA20, AIRS/Aqua and ERA5 Reanalysis in the Polar Regions in 2020 Using Ground-Based Observations
Quantifying spatiotemporal polar ozone changes can promote our understanding of global stratospheric ozone depletion, polar ozone-related chemical processes, and atmospheric dynamics. By means of ground-level measurements, satellite observations, and re-analyzed meteorology, the global spatial and t...
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2021
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Online Access: | https://doi.org/10.3390/rs13214375 https://doaj.org/article/2fe9f24b952947f4a4312f10d4a4c9a1 |
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ftdoajarticles:oai:doaj.org/article:2fe9f24b952947f4a4312f10d4a4c9a1 2023-05-15T13:52:54+02:00 Evaluating the Performance of Ozone Products Derived from CrIS/NOAA20, AIRS/Aqua and ERA5 Reanalysis in the Polar Regions in 2020 Using Ground-Based Observations Hongmei Wang Yapeng Wang Kun Cai Songyan Zhu Xinxin Zhang Liangfu Chen 2021-10-01T00:00:00Z https://doi.org/10.3390/rs13214375 https://doaj.org/article/2fe9f24b952947f4a4312f10d4a4c9a1 EN eng MDPI AG https://www.mdpi.com/2072-4292/13/21/4375 https://doaj.org/toc/2072-4292 doi:10.3390/rs13214375 2072-4292 https://doaj.org/article/2fe9f24b952947f4a4312f10d4a4c9a1 Remote Sensing, Vol 13, Iss 4375, p 4375 (2021) polar ozone CrIS AIRS ERA5 performance evaluation Science Q article 2021 ftdoajarticles https://doi.org/10.3390/rs13214375 2022-12-31T04:00:48Z Quantifying spatiotemporal polar ozone changes can promote our understanding of global stratospheric ozone depletion, polar ozone-related chemical processes, and atmospheric dynamics. By means of ground-level measurements, satellite observations, and re-analyzed meteorology, the global spatial and temporal distribution characteristics of the total column ozone (TCO) and ozone profile can be quantitatively described. In this study, we evaluated the ozone datasets from CrIS/NOAA20, AIRS/Aqua, and ERA5/ECWMF for their performance in polar regions in 2020, along with the in situ observations of the Dobson, Brewer, and ozonesonde instruments, which are regarded as benchmarks. The results showed that the ERA5 reanalysis ozone field had good consistency with the ground observations (R > 0.95) and indicated whether the TCO or ozone profile was less affected by the site location. In contrast, both CrIS and AIRS could capture the ozone loss process resulting from the Antarctic/Arctic ozone hole at a monthly scale, but their ability to characterize the Arctic ozone hole was weaker than in the Antarctic. Specifically, the TCO values derived from AIRS were apparently higher in March 2020 than those of ERA5, which made it difficult to assess the area and depth of the ozone hole during this period. Moreover, the pattern of CrIS TCO was abnormal and tended to deviate from the pattern that characterized ERA5 and AIRS at the Alert site during the Arctic ozone loss process in 2020, which demonstrates that CrIS ozone products have limited applicability at this ground site. Furthermore, the validation of the ozone profile shows that AIRS and CrIS do not have good vertical representation in the polar regions and are not able to characterize the location and depth of ozone depletion. Overall, the results reveal the shortcomings of the ozone profiles derived from AIRS and CrIS observations and the reliability of the ERA5 reanalysis ozone field in polar applications. A more suitable prior method and detection sensitivity improvement ... Article in Journal/Newspaper Antarc* Antarctic Arctic Cris Directory of Open Access Journals: DOAJ Articles Arctic Antarctic The Antarctic Remote Sensing 13 21 4375 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
polar ozone CrIS AIRS ERA5 performance evaluation Science Q |
spellingShingle |
polar ozone CrIS AIRS ERA5 performance evaluation Science Q Hongmei Wang Yapeng Wang Kun Cai Songyan Zhu Xinxin Zhang Liangfu Chen Evaluating the Performance of Ozone Products Derived from CrIS/NOAA20, AIRS/Aqua and ERA5 Reanalysis in the Polar Regions in 2020 Using Ground-Based Observations |
topic_facet |
polar ozone CrIS AIRS ERA5 performance evaluation Science Q |
description |
Quantifying spatiotemporal polar ozone changes can promote our understanding of global stratospheric ozone depletion, polar ozone-related chemical processes, and atmospheric dynamics. By means of ground-level measurements, satellite observations, and re-analyzed meteorology, the global spatial and temporal distribution characteristics of the total column ozone (TCO) and ozone profile can be quantitatively described. In this study, we evaluated the ozone datasets from CrIS/NOAA20, AIRS/Aqua, and ERA5/ECWMF for their performance in polar regions in 2020, along with the in situ observations of the Dobson, Brewer, and ozonesonde instruments, which are regarded as benchmarks. The results showed that the ERA5 reanalysis ozone field had good consistency with the ground observations (R > 0.95) and indicated whether the TCO or ozone profile was less affected by the site location. In contrast, both CrIS and AIRS could capture the ozone loss process resulting from the Antarctic/Arctic ozone hole at a monthly scale, but their ability to characterize the Arctic ozone hole was weaker than in the Antarctic. Specifically, the TCO values derived from AIRS were apparently higher in March 2020 than those of ERA5, which made it difficult to assess the area and depth of the ozone hole during this period. Moreover, the pattern of CrIS TCO was abnormal and tended to deviate from the pattern that characterized ERA5 and AIRS at the Alert site during the Arctic ozone loss process in 2020, which demonstrates that CrIS ozone products have limited applicability at this ground site. Furthermore, the validation of the ozone profile shows that AIRS and CrIS do not have good vertical representation in the polar regions and are not able to characterize the location and depth of ozone depletion. Overall, the results reveal the shortcomings of the ozone profiles derived from AIRS and CrIS observations and the reliability of the ERA5 reanalysis ozone field in polar applications. A more suitable prior method and detection sensitivity improvement ... |
format |
Article in Journal/Newspaper |
author |
Hongmei Wang Yapeng Wang Kun Cai Songyan Zhu Xinxin Zhang Liangfu Chen |
author_facet |
Hongmei Wang Yapeng Wang Kun Cai Songyan Zhu Xinxin Zhang Liangfu Chen |
author_sort |
Hongmei Wang |
title |
Evaluating the Performance of Ozone Products Derived from CrIS/NOAA20, AIRS/Aqua and ERA5 Reanalysis in the Polar Regions in 2020 Using Ground-Based Observations |
title_short |
Evaluating the Performance of Ozone Products Derived from CrIS/NOAA20, AIRS/Aqua and ERA5 Reanalysis in the Polar Regions in 2020 Using Ground-Based Observations |
title_full |
Evaluating the Performance of Ozone Products Derived from CrIS/NOAA20, AIRS/Aqua and ERA5 Reanalysis in the Polar Regions in 2020 Using Ground-Based Observations |
title_fullStr |
Evaluating the Performance of Ozone Products Derived from CrIS/NOAA20, AIRS/Aqua and ERA5 Reanalysis in the Polar Regions in 2020 Using Ground-Based Observations |
title_full_unstemmed |
Evaluating the Performance of Ozone Products Derived from CrIS/NOAA20, AIRS/Aqua and ERA5 Reanalysis in the Polar Regions in 2020 Using Ground-Based Observations |
title_sort |
evaluating the performance of ozone products derived from cris/noaa20, airs/aqua and era5 reanalysis in the polar regions in 2020 using ground-based observations |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13214375 https://doaj.org/article/2fe9f24b952947f4a4312f10d4a4c9a1 |
geographic |
Arctic Antarctic The Antarctic |
geographic_facet |
Arctic Antarctic The Antarctic |
genre |
Antarc* Antarctic Arctic Cris |
genre_facet |
Antarc* Antarctic Arctic Cris |
op_source |
Remote Sensing, Vol 13, Iss 4375, p 4375 (2021) |
op_relation |
https://www.mdpi.com/2072-4292/13/21/4375 https://doaj.org/toc/2072-4292 doi:10.3390/rs13214375 2072-4292 https://doaj.org/article/2fe9f24b952947f4a4312f10d4a4c9a1 |
op_doi |
https://doi.org/10.3390/rs13214375 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
21 |
container_start_page |
4375 |
_version_ |
1766257751936204800 |