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Sea-Level Change Over the China Sea and Its Vicinity Derived from 25-Year T/P Series Altimeter Data

  • Jianhua Wan
  • Qinting Sun
  • Shanwei Liu
  • Yinlong Li
Research Article
  • 14 Downloads

Abstract

The characteristics of sea-level change in the China Sea and its vicinity are studied by combining TOPEX/Poseidon (T/P), Jason-1, Jason-2, and Jason-3 altimeter data. First, the sea-surface height is computed by using monthly data via collinear adjustment, regional selection, and crossover adjustment. The sea-level anomaly (SLA) from October 1992 to July 2017 is calculated based on the difference that is obtained by the value derived from the inverse distance weighting method to interpolate the CNES_CLS15 model value at a normal point. By analyzing the satellite data at the same time in orbit, three mean bias groups over the China Sea and its vicinity are obtained: the difference between T/P and Jason-1 is − 11.76 cm, the difference between Jason-1 and Jason-2 is 9.6 cm, and the difference between Jason-2 and Jason-3 is 2.42 cm. To establish an SLA series for 25 years in the study area, the SLAs are corrected. Mean rate of sea-level rise of the Bohai Sea, Yellow Sea, East China Sea, and South China Sea of 4.87 mm/a, 2.68 mm/a, 2.88 mm/a, and 4.67 mm/a, respectively, is found by analyzing the series of SLAs.

Keywords

Satellite altimetry China Sea Sea-level anomaly Rising rate 

Notes

Acknowledgements

The authors wish to thank the editor. The authors also thank the AVSO website of the French Space Center (CNES) for providing the satellite data and the National Oceanic and Atmospheric Administration (NOAA) for SOI data. This research has been supported by the National Key R&D Program of China (2016YFC1401800), Key R&D Program of Shandong Province (2018GHY115046), the Fundamental Research Funds for the Central Universities (17CX02071), NSFC (61571009), and National Programme on Global Change and Air-Sea Interaction (GASI-02-PAC-YGST2-04, GASI-02-IND-YGST2-04, GASI-02-SCS-YGST2-04).

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Copyright information

© Indian Society of Remote Sensing 2018

Authors and Affiliations

  • Jianhua Wan
    • 1
    • 2
  • Qinting Sun
    • 1
    • 2
  • Shanwei Liu
    • 1
    • 2
  • Yinlong Li
    • 1
    • 2
  1. 1.School of GeosciencesChina University of Petroleum (East China)HuangdaoChina
  2. 2.The Laboratory for Marine Mineral ResourcesQingdao National Laboratory for Marine Science and TechnologyQingdaoChina

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