Spatiotemporal features and possible mechanisms of seasonal changes in sea surface height south of Japan

Libin Ma

doi:10.1007/s00343-014-3224-1

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Spatiotemporal features and possible mechanisms of seasonal changes in sea surface height south of Japan

Updated：2023-05-16

- Spatiotemporal features and possible mechanisms of seasonal changes in sea surface height south of Japan
- Journal of Oceanology and Limnology Vol. 32, Issue 4, Pages: 933-945(2014)
- Affiliations：
  
  1. Key Laboratory of Ocean Circulation and Waves Institute of Oceanology Chinese Academy of Sciences
  2. Center for Earth System Model Nanjing University of Information Science & Technology
- Author bio：
- Funds：
- DOI：10.1007/s00343-014-3224-1
  CLC：
- Online First：11 July 2014，
  
  Published：2014
- Accepted：
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Ma, L. Spatiotemporal features and possible mechanisms of seasonal changes in sea surface height south of Japan., Chin. J. Ocean. Limnol. 32, 933–945 (2014). https://doi.org/10.1007/s00343-014-3224-1
DOI：

Ma, L. Spatiotemporal features and possible mechanisms of seasonal changes in sea surface height south of Japan., Chin. J. Ocean. Limnol. 32, 933–945 (2014). https://doi.org/10.1007/s00343-014-3224-1 DOI：

摘要

Abstract

Variations of sea surface height (SSH) in the Kuroshio south of Japan are addressed by analyzing 19-year (1993–2011) altimetry data from AVISO. Regionally averaged time series of observed SSH had a rising linear trend at 2.64±0.72 mm/a in this period. By analyzing the power spectra

several periods were recognized in temporal SSH variations

including those around 90 and 360 days. The seasonal cycle of SSH was minimum in winter (February) and maximum in summer (August)

with peak-to-peak amplitude about 20.0 cm. The spatial distribution of linear trends was inhomogeneous

with a rising linear trend along the coastline and a tripole structure offshore. Spatial distributions of standard deviation of seasonal SSH show very dynamic activities in the southeast of Kyushu and south of Honshu. Seasonal variations of observed SSH are partially explained by surface buoyancy forcing

local wind forcing and the steric component related to subsurface water beneath the mixed layer. Results show different spatial distributions of correlation coefficient and estimation skill between seasonally observed and modeled SSH

which are calculated from surface buoyancy flux

local wind forcing and the steric component related to subsurface water. Of those three

the surface buoyancy flux has a greater contribution to variations of observed SSH on the seasonal time scale south of Japan.

关键词

Keywords

references

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