Effect of Argo Salinity Drift since 2016 on the Estimation of Regional Steric Sea Level Change Rates

• Published in: Remote sensing (Basel, Switzerland) Vol. 16; no. 11; p. 1855
• Main Authors: Tang, Lu, Zhou, Hao, Li, Jin, Wang, Penghui, Su, Xiaoli, Luo, Zhicai
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2024
• Subjects: Artificial satellites in remote sensing; Comparative analysis; Data processing; Datasets; different depths; different open oceans; Drift; Drift estimation; Environmental aspects; Estimates; Global warming; Measurement; ocean salinity drift; Ocean temperature; Oceanography; Oceans; Research facilities; Salinity; Salinity effects; Sea level; Sea level changes; Seasonal variations; steric sea level rate; Time series; China
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs16111855

Since 2016, the Argo (Array for Real-Time Geostrophic Oceanography) ocean salinity data has exhibited significant drift, directly affecting the accurate quantification of the global steric sea level (SSL) rates. To further investigate how salinity drift affects the estimation of SSL rates in different depths and regions, we divide the 0–2000 m into three layers (0–300 m, 300–1000 m and 1000–2000 m) and select five open oceans (the South and North Pacific, the South and North Atlantic, and the Indian Ocean) for discussion. By comparing the SSL rates between the periods of 2005–2015 and 2005–2019, we can evaluate the impact of salinity drift. Taking the estimated results from the IPRC (provided by the International Pacific Research Center at the University of Hawaii) and BOA (provided by the Second Institute of Oceanography, China) data as examples, we find that the effect of salinity drift is the largest at the depth of 1000–2000 m, about 29% for IPRC data and about 18% for BOA data. Moreover, the South Atlantic is susceptible to the effects of salinity drift, with an approximately 13% impact for IPRC data and 21% for BOA data.