Comparison and Validation of the Ionospheric Climatological Morphology of FY3C/GNOS with COSMIC during the Recent Low Solar Activity Period
With the accumulation of the ionospheric radio occultation (IRO) data observed by Global Navigation Satellite System (GNSS) occultation sounder (GNOS) onboard FengYun-3C (FY3C) satellite, it is possible to use GNOS IRO data for ionospheric climatology research. Therefore, this work aims to validate...
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Online Access: | https://doi.org/10.3390/rs11222686 https://doaj.org/article/15d998a104694fed87e47725f7cc2746 |
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ftdoajarticles:oai:doaj.org/article:15d998a104694fed87e47725f7cc2746 2023-05-15T18:43:19+02:00 Comparison and Validation of the Ionospheric Climatological Morphology of FY3C/GNOS with COSMIC during the Recent Low Solar Activity Period Weihua Bai Guangyuan Tan Yueqiang Sun Junming Xia Cheng Cheng Qifei Du Xianyi Wang Guanglin Yang Mi Liao Yan Liu Xiangguang Meng Danyang Zhao Congliang Liu Yuerong Cai Dongwei Wang Yingqiang Wang Cong Yin Peng Hu Ziyan Liu 2019-11-01T00:00:00Z https://doi.org/10.3390/rs11222686 https://doaj.org/article/15d998a104694fed87e47725f7cc2746 EN eng MDPI AG https://www.mdpi.com/2072-4292/11/22/2686 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11222686 https://doaj.org/article/15d998a104694fed87e47725f7cc2746 Remote Sensing, Vol 11, Iss 22, p 2686 (2019) ionospheric climatology radio occultation validation fy3c/gnos cosmic Science Q article 2019 ftdoajarticles https://doi.org/10.3390/rs11222686 2022-12-31T16:10:17Z With the accumulation of the ionospheric radio occultation (IRO) data observed by Global Navigation Satellite System (GNSS) occultation sounder (GNOS) onboard FengYun-3C (FY3C) satellite, it is possible to use GNOS IRO data for ionospheric climatology research. Therefore, this work aims to validate the feasibility of FY3C/GNOS IRO products in climatology research by comparison with that of Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC), laying the foundation for its application in climatology study. Since previous verification works of FY3C/GNOS were done by comparison with ionosondes, this work matched NmF2/hmF2 of FY3C/GNOS and COSMIC into data pairs to verify the profile-level accuracy of FY3C/GNOS IRO data. The statistical results show that the overall correlation coefficients of both NmF2 and hmF2 are above 0.9, the overall bias and std of NmF2 differences between FY3C/GNOS and COSMIC are −2.19% and 17.48%, respectively, and the bias and std of hmF2 differences are −3.29 and 18.01 km, respectively, indicating a high profile-level precision consistency between FY3C/GNOS and COSMIC. In ionospheric climatology comparison, we divided NmF2/hmF2 of FY3C/GNOS into four seasons, then presented the season median NmF2/hmF2 in 5° × 10° grids and compared them with that of COSMIC. The results show that the ionospheric climatological characteristics of FY3C/GNOS and COSMIC are highly matched, both showing the typical climatological features such as equatorial ionosphere anomaly (EIA), winter anomaly, semiannual anomaly, Weddell Sea anomaly (WSA) and so on, though minor discrepancies do exist like the differences in magnitude of longitude peak structures and WSA, which verifies the reliability of FY3C/GNOS IRO products in ionospheric climatology research. Article in Journal/Newspaper Weddell Sea Directory of Open Access Journals: DOAJ Articles Weddell Sea Weddell Eia ENVELOPE(7.755,7.755,63.024,63.024) Remote Sensing 11 22 2686 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
ionospheric climatology radio occultation validation fy3c/gnos cosmic Science Q |
spellingShingle |
ionospheric climatology radio occultation validation fy3c/gnos cosmic Science Q Weihua Bai Guangyuan Tan Yueqiang Sun Junming Xia Cheng Cheng Qifei Du Xianyi Wang Guanglin Yang Mi Liao Yan Liu Xiangguang Meng Danyang Zhao Congliang Liu Yuerong Cai Dongwei Wang Yingqiang Wang Cong Yin Peng Hu Ziyan Liu Comparison and Validation of the Ionospheric Climatological Morphology of FY3C/GNOS with COSMIC during the Recent Low Solar Activity Period |
topic_facet |
ionospheric climatology radio occultation validation fy3c/gnos cosmic Science Q |
description |
With the accumulation of the ionospheric radio occultation (IRO) data observed by Global Navigation Satellite System (GNSS) occultation sounder (GNOS) onboard FengYun-3C (FY3C) satellite, it is possible to use GNOS IRO data for ionospheric climatology research. Therefore, this work aims to validate the feasibility of FY3C/GNOS IRO products in climatology research by comparison with that of Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC), laying the foundation for its application in climatology study. Since previous verification works of FY3C/GNOS were done by comparison with ionosondes, this work matched NmF2/hmF2 of FY3C/GNOS and COSMIC into data pairs to verify the profile-level accuracy of FY3C/GNOS IRO data. The statistical results show that the overall correlation coefficients of both NmF2 and hmF2 are above 0.9, the overall bias and std of NmF2 differences between FY3C/GNOS and COSMIC are −2.19% and 17.48%, respectively, and the bias and std of hmF2 differences are −3.29 and 18.01 km, respectively, indicating a high profile-level precision consistency between FY3C/GNOS and COSMIC. In ionospheric climatology comparison, we divided NmF2/hmF2 of FY3C/GNOS into four seasons, then presented the season median NmF2/hmF2 in 5° × 10° grids and compared them with that of COSMIC. The results show that the ionospheric climatological characteristics of FY3C/GNOS and COSMIC are highly matched, both showing the typical climatological features such as equatorial ionosphere anomaly (EIA), winter anomaly, semiannual anomaly, Weddell Sea anomaly (WSA) and so on, though minor discrepancies do exist like the differences in magnitude of longitude peak structures and WSA, which verifies the reliability of FY3C/GNOS IRO products in ionospheric climatology research. |
format |
Article in Journal/Newspaper |
author |
Weihua Bai Guangyuan Tan Yueqiang Sun Junming Xia Cheng Cheng Qifei Du Xianyi Wang Guanglin Yang Mi Liao Yan Liu Xiangguang Meng Danyang Zhao Congliang Liu Yuerong Cai Dongwei Wang Yingqiang Wang Cong Yin Peng Hu Ziyan Liu |
author_facet |
Weihua Bai Guangyuan Tan Yueqiang Sun Junming Xia Cheng Cheng Qifei Du Xianyi Wang Guanglin Yang Mi Liao Yan Liu Xiangguang Meng Danyang Zhao Congliang Liu Yuerong Cai Dongwei Wang Yingqiang Wang Cong Yin Peng Hu Ziyan Liu |
author_sort |
Weihua Bai |
title |
Comparison and Validation of the Ionospheric Climatological Morphology of FY3C/GNOS with COSMIC during the Recent Low Solar Activity Period |
title_short |
Comparison and Validation of the Ionospheric Climatological Morphology of FY3C/GNOS with COSMIC during the Recent Low Solar Activity Period |
title_full |
Comparison and Validation of the Ionospheric Climatological Morphology of FY3C/GNOS with COSMIC during the Recent Low Solar Activity Period |
title_fullStr |
Comparison and Validation of the Ionospheric Climatological Morphology of FY3C/GNOS with COSMIC during the Recent Low Solar Activity Period |
title_full_unstemmed |
Comparison and Validation of the Ionospheric Climatological Morphology of FY3C/GNOS with COSMIC during the Recent Low Solar Activity Period |
title_sort |
comparison and validation of the ionospheric climatological morphology of fy3c/gnos with cosmic during the recent low solar activity period |
publisher |
MDPI AG |
publishDate |
2019 |
url |
https://doi.org/10.3390/rs11222686 https://doaj.org/article/15d998a104694fed87e47725f7cc2746 |
long_lat |
ENVELOPE(7.755,7.755,63.024,63.024) |
geographic |
Weddell Sea Weddell Eia |
geographic_facet |
Weddell Sea Weddell Eia |
genre |
Weddell Sea |
genre_facet |
Weddell Sea |
op_source |
Remote Sensing, Vol 11, Iss 22, p 2686 (2019) |
op_relation |
https://www.mdpi.com/2072-4292/11/22/2686 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11222686 https://doaj.org/article/15d998a104694fed87e47725f7cc2746 |
op_doi |
https://doi.org/10.3390/rs11222686 |
container_title |
Remote Sensing |
container_volume |
11 |
container_issue |
22 |
container_start_page |
2686 |
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1766233646459518976 |