Construction of the Mean Sea Surface Model Combined HY-2A With DTU18 MSS in the Antarctic Ocean
A new Mean Sea Surface (MSS) model called Shandong University of Science and Technology Antarctic Mean Sea Surface model (SDUST_ANT MSS) in the Antarctic Ocean is presented and validated in this paper. The SDUST_ANT MSS updates the DTU18 MSS with 6 years of Exact Repeat Mission (ERM) and Geodetic Mi...
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ftdoajarticles:oai:doaj.org/article:664434ee98f8431fbab8cdf1c286b43d 2023-05-15T13:47:54+02:00 Construction of the Mean Sea Surface Model Combined HY-2A With DTU18 MSS in the Antarctic Ocean Weikang Sun Xinghua Zhou Lei Yang Dongxu Zhou Feng Li 2021-07-01T00:00:00Z https://doi.org/10.3389/fenvs.2021.697111 https://doaj.org/article/664434ee98f8431fbab8cdf1c286b43d EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/fenvs.2021.697111/full https://doaj.org/toc/2296-665X 2296-665X doi:10.3389/fenvs.2021.697111 https://doaj.org/article/664434ee98f8431fbab8cdf1c286b43d Frontiers in Environmental Science, Vol 9 (2021) HY-2A DTU18 MSS sentinel-3A validation wavelength absolute error Environmental sciences GE1-350 article 2021 ftdoajarticles https://doi.org/10.3389/fenvs.2021.697111 2022-12-31T05:41:48Z A new Mean Sea Surface (MSS) model called Shandong University of Science and Technology Antarctic Mean Sea Surface model (SDUST_ANT MSS) in the Antarctic Ocean is presented and validated in this paper. The SDUST_ANT MSS updates the DTU18 MSS with 6 years of Exact Repeat Mission (ERM) and Geodetic Mission (GM) data from HY-2A. Collinear adjustment was applied to all the ERM data to obtain the along-track mean sea surface height. Oceanic variability has been removed from the GM data. Crossover adjustment was applied to both the ERM and GM data. We constructed the HY-2A_MSS using HY-2A altimetry data based on optimal interpolation method. Several types of errors (such as white noise, residual effect of oceanic variability, and long wavelength bias) have been taken into account for the determination of MSS using optimal interpolation method. The SDUST_ANT MSS was constructed by mapping HY-2A_MSS onto the DTU18 MSS. The SDUST_ANT MSS was compared with DTU18 MSS and CNES_CLS15 MSS. At wavelengths below 150 km, differences between models are consistent with seafloor topographic gradient. At wavelengths above 150 km, differences are affected by the mesoscale activities and the altimetry errors in coastal areas. The errors of the three models, as indicated by their power spectral densities (PSDs), are of similar orders of magnitude. The absolute error is slightly smaller in SDUST_ANT than in CNES_CLS15 or DTU18. Article in Journal/Newspaper Antarc* Antarctic Antarctic Ocean Directory of Open Access Journals: DOAJ Articles Antarctic The Antarctic Antarctic Ocean Frontiers in Environmental Science 9 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
HY-2A DTU18 MSS sentinel-3A validation wavelength absolute error Environmental sciences GE1-350 |
spellingShingle |
HY-2A DTU18 MSS sentinel-3A validation wavelength absolute error Environmental sciences GE1-350 Weikang Sun Xinghua Zhou Lei Yang Dongxu Zhou Feng Li Construction of the Mean Sea Surface Model Combined HY-2A With DTU18 MSS in the Antarctic Ocean |
topic_facet |
HY-2A DTU18 MSS sentinel-3A validation wavelength absolute error Environmental sciences GE1-350 |
description |
A new Mean Sea Surface (MSS) model called Shandong University of Science and Technology Antarctic Mean Sea Surface model (SDUST_ANT MSS) in the Antarctic Ocean is presented and validated in this paper. The SDUST_ANT MSS updates the DTU18 MSS with 6 years of Exact Repeat Mission (ERM) and Geodetic Mission (GM) data from HY-2A. Collinear adjustment was applied to all the ERM data to obtain the along-track mean sea surface height. Oceanic variability has been removed from the GM data. Crossover adjustment was applied to both the ERM and GM data. We constructed the HY-2A_MSS using HY-2A altimetry data based on optimal interpolation method. Several types of errors (such as white noise, residual effect of oceanic variability, and long wavelength bias) have been taken into account for the determination of MSS using optimal interpolation method. The SDUST_ANT MSS was constructed by mapping HY-2A_MSS onto the DTU18 MSS. The SDUST_ANT MSS was compared with DTU18 MSS and CNES_CLS15 MSS. At wavelengths below 150 km, differences between models are consistent with seafloor topographic gradient. At wavelengths above 150 km, differences are affected by the mesoscale activities and the altimetry errors in coastal areas. The errors of the three models, as indicated by their power spectral densities (PSDs), are of similar orders of magnitude. The absolute error is slightly smaller in SDUST_ANT than in CNES_CLS15 or DTU18. |
format |
Article in Journal/Newspaper |
author |
Weikang Sun Xinghua Zhou Lei Yang Dongxu Zhou Feng Li |
author_facet |
Weikang Sun Xinghua Zhou Lei Yang Dongxu Zhou Feng Li |
author_sort |
Weikang Sun |
title |
Construction of the Mean Sea Surface Model Combined HY-2A With DTU18 MSS in the Antarctic Ocean |
title_short |
Construction of the Mean Sea Surface Model Combined HY-2A With DTU18 MSS in the Antarctic Ocean |
title_full |
Construction of the Mean Sea Surface Model Combined HY-2A With DTU18 MSS in the Antarctic Ocean |
title_fullStr |
Construction of the Mean Sea Surface Model Combined HY-2A With DTU18 MSS in the Antarctic Ocean |
title_full_unstemmed |
Construction of the Mean Sea Surface Model Combined HY-2A With DTU18 MSS in the Antarctic Ocean |
title_sort |
construction of the mean sea surface model combined hy-2a with dtu18 mss in the antarctic ocean |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doi.org/10.3389/fenvs.2021.697111 https://doaj.org/article/664434ee98f8431fbab8cdf1c286b43d |
geographic |
Antarctic The Antarctic Antarctic Ocean |
geographic_facet |
Antarctic The Antarctic Antarctic Ocean |
genre |
Antarc* Antarctic Antarctic Ocean |
genre_facet |
Antarc* Antarctic Antarctic Ocean |
op_source |
Frontiers in Environmental Science, Vol 9 (2021) |
op_relation |
https://www.frontiersin.org/articles/10.3389/fenvs.2021.697111/full https://doaj.org/toc/2296-665X 2296-665X doi:10.3389/fenvs.2021.697111 https://doaj.org/article/664434ee98f8431fbab8cdf1c286b43d |
op_doi |
https://doi.org/10.3389/fenvs.2021.697111 |
container_title |
Frontiers in Environmental Science |
container_volume |
9 |
_version_ |
1766247991964860416 |