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Sea level extremes at the coasts of China

Sea level extremes at the coasts of China
Sea level extremes at the coasts of China
Hourly sea level records from 1954 to 2012 at twenty tide gauges at and adjacent to the Chinese coasts are used to analyse extremes in sea level and in tidal residual. Tides and tropical cyclones determine the spatial distribution of sea level maxima. Tidal residual maxima are predominantly determined by tropical cyclones. The 50-year return level is found to be sensitive to the number of extreme events used in the estimation. This is caused by the small number of tropical cyclone events happening each year which lead to other local storm events included thus significantly affecting the estimates.

Significant increase in sea level extremes is found with trends in the range between 2.0-14.1 mm yr-1. The trends are primarily driven by changes in median sea level but also linked with increases in tidal amplitudes at three stations. Tropical cyclones cause significant interannual variations in the extremes. The interannual variability in the sea level extremes is also influenced by the changes in median sea level at the north and by the 18.6-year nodal cycle at the South China Sea. Neither of PDO and ENSO is found to be an indicator of changes in the size of extremes, but ENSO appears to regulate the number of tropical cyclones that reach the Chinese coasts.

Global mean atmospheric temperature appears to be a good descriptor of the interannual variability of tidal residual extremes induced by tropical cyclones but the trend in global temperature is inconsistent with the lack of trend in the residuals.
sea level extremes, tropical cyclones, ENSO
2169-9275
1593-1608
Feng, Xiangbo
ea69bf52-760a-46a1-921c-b3ebf172c754
Tsimplis, M.N.
df6dd749-cda4-46ec-983c-bf022d737031
Feng, Xiangbo
ea69bf52-760a-46a1-921c-b3ebf172c754
Tsimplis, M.N.
df6dd749-cda4-46ec-983c-bf022d737031

Feng, Xiangbo and Tsimplis, M.N. (2014) Sea level extremes at the coasts of China. Journal of Geophysical Research: Oceans, 119 (3), 1593-1608. (doi:10.1002/2013JC009607).

Record type: Article

Abstract

Hourly sea level records from 1954 to 2012 at twenty tide gauges at and adjacent to the Chinese coasts are used to analyse extremes in sea level and in tidal residual. Tides and tropical cyclones determine the spatial distribution of sea level maxima. Tidal residual maxima are predominantly determined by tropical cyclones. The 50-year return level is found to be sensitive to the number of extreme events used in the estimation. This is caused by the small number of tropical cyclone events happening each year which lead to other local storm events included thus significantly affecting the estimates.

Significant increase in sea level extremes is found with trends in the range between 2.0-14.1 mm yr-1. The trends are primarily driven by changes in median sea level but also linked with increases in tidal amplitudes at three stations. Tropical cyclones cause significant interannual variations in the extremes. The interannual variability in the sea level extremes is also influenced by the changes in median sea level at the north and by the 18.6-year nodal cycle at the South China Sea. Neither of PDO and ENSO is found to be an indicator of changes in the size of extremes, but ENSO appears to regulate the number of tropical cyclones that reach the Chinese coasts.

Global mean atmospheric temperature appears to be a good descriptor of the interannual variability of tidal residual extremes induced by tropical cyclones but the trend in global temperature is inconsistent with the lack of trend in the residuals.

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More information

Accepted/In Press date: 19 February 2014
e-pub ahead of print date: 6 March 2014
Published date: March 2014
Keywords: sea level extremes, tropical cyclones, ENSO
Organisations: Physical Oceanography, Marine Physics and Ocean Climate

Identifiers

Local EPrints ID: 362427
URI: http://eprints.soton.ac.uk/id/eprint/362427
ISSN: 2169-9275
PURE UUID: c92a3d3e-c529-462f-8284-0e0f32a45e55

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Date deposited: 24 Feb 2014 13:56
Last modified: 14 Mar 2024 16:07

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Contributors

Author: Xiangbo Feng
Author: M.N. Tsimplis

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