Non-linear Sea Level Variations in the South China Sea from Satellite Altimetry and Tide Gauges

Yanguang Fu, Xinghua Zhou, Weikang Sun, Dongxu Zhou, Jie Li

2018

Abstract

Non-linear sea level trend in the South China Sea (SCS) was investigated by means of satellite altimetry and tide gauge data over 24 years period from 1993 to 2016. GIA corrections and inverted barometer corrections were applied to the satellite and tide gauge data, and the monthly sea level anomalies (MSLAs) were compared between each other in details. Thirty tide gauges located in the SCS are in good agreement with satellite-derived results, with RMSDs ranging between 0.85 and 9.92 cm and correlation coefficients were more than 0.70 for 85.71% of stations. Non-linear sea level trend of observations during period of 1993-2016 was analysed by empirical mode decomposition, the sea level rise rate derived from satellite altimetry and tide gauge data are 4.29 ± 0.29 and 3.93 ± 0.12 mm/year, respectively.

Paper Citation

in Harvard Style

Fu Y., Zhou X., Sun W., Zhou D. and Li J. (2018). Non-linear Sea Level Variations in the South China Sea from Satellite Altimetry and Tide Gauges.In Proceedings of the International Workshop on Environment and Geoscience - Volume 1: IWEG, ISBN 978-989-758-342-1, pages 561-565. DOI: 10.5220/0007433605610565

in Bibtex Style

@conference{iweg18,
author={Yanguang Fu and Xinghua Zhou and Weikang Sun and Dongxu Zhou and Jie Li},
title={Non-linear Sea Level Variations in the South China Sea from Satellite Altimetry and Tide Gauges},
booktitle={Proceedings of the International Workshop on Environment and Geoscience - Volume 1: IWEG,},
year={2018},
pages={561-565},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007433605610565},
isbn={978-989-758-342-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Workshop on Environment and Geoscience - Volume 1: IWEG,
TI - Non-linear Sea Level Variations in the South China Sea from Satellite Altimetry and Tide Gauges
SN - 978-989-758-342-1
AU - Fu Y.
AU - Zhou X.
AU - Sun W.
AU - Zhou D.
AU - Li J.
PY - 2018
SP - 561
EP - 565
DO - 10.5220/0007433605610565