Significant Increase in Global Steric Sea Level Variations over the Past 40 Years

• Published in: Remote sensing (Basel, Switzerland) Vol. 16; no. 13; p. 2466
• Main Authors: Xie, Jinpeng, Sun, Zhangli, Zhou, Shuaibo, Zhong, Yulong, Sun, Peijun, Xiong, Yi, Tu, Lin
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-07-2024
• Subjects: Climate change; Climate prediction; Coastal zone; Datasets; El Nino; ENSO; Equatorial regions; Forecasts and trends; Global warming; Gravity; Measurement; Ocean temperature; Remote sensing; Salinity; Satellites; Sea level; Sea level changes; Seawater; Southern Oscillation; spatiotemporal characteristics; steric sea level; Sustainable development; Technology assessment; temperature and salinity datasets; Time series; Variation; China
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs16132466

Understanding global sea level variations and exploring their causes hold significant importance for future climate change predictions and the sustainable development of mankind, with the steric sea level (SSL) variations being one of the primary contributors to these changes. Here, we utilize four types of temperature and salinity products (i.e., EN4, IAP, SODA, and GDCSM) to investigate the spatiotemporal characteristics of global SSL changes from 1980 to 2020. We also explore the relationship between SSL changes and the El Niño-Southern Oscillation (ENSO) phenomenon. The findings reveal a rising trend of 0.64–0.97 mm/a in global SSL over the past 40 years, and the annual amplitudes of SSL time series are within the range of 0–50 mm. The SSL trend at a depth of 0–100 m exerts the greatest influence on the overall trend. The ENSO phenomenon has an obvious influence on sea level changes both in the equatorial Pacific region and global scale. The changes in the global sea level (GSL) associated with ENSO are primarily caused by changes in SSL. This study benefits the understanding of SSL changes and their connection to climate change, serves as a reference for comprehensively assessing sea level change mechanisms using diverse datasets and remote sensing technology, and further provides a scientific basis for the sustainable development of mankind in coastal areas.