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Significant Wave Height Estimation from Joint CYGNSS DDMA and LES Observations
The significant wave height (SWH) of oceans is the main parameter in describing the sea state, which has been widely used in the establishment of ocean process models and the field of navigation and transportation. However, traditional methods such as satellite radar altimeters and buoys cannot achi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471590/ https://www.ncbi.nlm.nih.gov/pubmed/34577330 http://dx.doi.org/10.3390/s21186123 |
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author | Yang, Shuai Jin, Shuanggen Jia, Yan Ye, Mingda |
author_facet | Yang, Shuai Jin, Shuanggen Jia, Yan Ye, Mingda |
author_sort | Yang, Shuai |
collection | PubMed |
description | The significant wave height (SWH) of oceans is the main parameter in describing the sea state, which has been widely used in the establishment of ocean process models and the field of navigation and transportation. However, traditional methods such as satellite radar altimeters and buoys cannot achieve SWH estimations with high spatial and temporal resolution. Recently, the spaceborne Global Navigation Satellite System reflectometry (GNSS-R) has provided an opportunity to estimate SWH with a rapid global coverage and high temporal resolution observations, particularly with the Cyclone Global Navigation Satellite System (CYGNSS) mission. In this paper, SWH was estimated using the polynomial function relationship between SWH from ERA5 and Delay-Doppler Map Average (DDMA) as well as Leading Edge Slope (LES) from CYGNSS data. Then, the SWH estimated from CYGNSS data was validated by ERA-Interim data, AVISO data, and buoy data. The results showed that the average correlation coefficient of CYGNSS SWH was 0.945, and the average RMSE was 0.257 m when compared to the ERA-Interim SWH data. The RMSE was 0.423 m and the correlation coefficient was 0.849 when compared with the AVISO SWH. The correlation coefficient with the buoy data was 0.907, and the RMSE was 0.247 m. This method can provide suitable SWH estimation data for ocean dynamics research and ocean environment prediction. |
format | Online Article Text |
id | pubmed-8471590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84715902021-09-28 Significant Wave Height Estimation from Joint CYGNSS DDMA and LES Observations Yang, Shuai Jin, Shuanggen Jia, Yan Ye, Mingda Sensors (Basel) Article The significant wave height (SWH) of oceans is the main parameter in describing the sea state, which has been widely used in the establishment of ocean process models and the field of navigation and transportation. However, traditional methods such as satellite radar altimeters and buoys cannot achieve SWH estimations with high spatial and temporal resolution. Recently, the spaceborne Global Navigation Satellite System reflectometry (GNSS-R) has provided an opportunity to estimate SWH with a rapid global coverage and high temporal resolution observations, particularly with the Cyclone Global Navigation Satellite System (CYGNSS) mission. In this paper, SWH was estimated using the polynomial function relationship between SWH from ERA5 and Delay-Doppler Map Average (DDMA) as well as Leading Edge Slope (LES) from CYGNSS data. Then, the SWH estimated from CYGNSS data was validated by ERA-Interim data, AVISO data, and buoy data. The results showed that the average correlation coefficient of CYGNSS SWH was 0.945, and the average RMSE was 0.257 m when compared to the ERA-Interim SWH data. The RMSE was 0.423 m and the correlation coefficient was 0.849 when compared with the AVISO SWH. The correlation coefficient with the buoy data was 0.907, and the RMSE was 0.247 m. This method can provide suitable SWH estimation data for ocean dynamics research and ocean environment prediction. MDPI 2021-09-12 /pmc/articles/PMC8471590/ /pubmed/34577330 http://dx.doi.org/10.3390/s21186123 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yang, Shuai Jin, Shuanggen Jia, Yan Ye, Mingda Significant Wave Height Estimation from Joint CYGNSS DDMA and LES Observations |
title | Significant Wave Height Estimation from Joint CYGNSS DDMA and LES Observations |
title_full | Significant Wave Height Estimation from Joint CYGNSS DDMA and LES Observations |
title_fullStr | Significant Wave Height Estimation from Joint CYGNSS DDMA and LES Observations |
title_full_unstemmed | Significant Wave Height Estimation from Joint CYGNSS DDMA and LES Observations |
title_short | Significant Wave Height Estimation from Joint CYGNSS DDMA and LES Observations |
title_sort | significant wave height estimation from joint cygnss ddma and les observations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471590/ https://www.ncbi.nlm.nih.gov/pubmed/34577330 http://dx.doi.org/10.3390/s21186123 |
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