Multidecadal Sea-level Rise in the Southeast Indian Ocean: The Role of Ocean Salinity Change

2021 ◽  
pp. 1-55

Abstract Regional sea-level rise in the Southeast Indian Ocean (SEIO) exerts growing threats to the surrounding Australian and Indonesian coasts, but the mechanisms of sea-level rise have not been firmly established. By analyzing observational datasets and model results, this study investigates multidecadal steric sea-level (SSL) rise of the SEIO since the mid-20th century, underscoring a significant role of ocean salinity change. The average SSL rising rate from 1960 through 2018 was 7.4±2.4 mm decade−1, and contributions of the halosteric and thermosteric components were ~42% and ~58%, respectively. The notable salinity effect arises primarily from a persistent subsurface freshening trend at 400-1000 m depths. Further insights are gained through the decomposition of temperature and salinity changes into the Heaving (vertical displacements of isopycnal surfaces) and Spicing (density-compensated temperature and salinity change) modes. The subsurface freshening trend since 1960 is mainly attributed to the Spicing mode, reflecting property modifications of the Subantarctic Mode Water (SAMW) and Antarctic Intermediate Water (AAIW) in the southern Indian Ocean. Also noteworthy is a dramatic acceleration of SSL rise (20.3±7.0 mm decade−1) since ~1990, which was predominantly induced by the thermosteric component (16.3±5.5 mm decade−1) associated with the Heaving mode. Enhanced Ekman downwelling by surface winds and radiation forcing linked to global greenhouse-gas warming mutually caused the depression of isopycnal surfaces, leading to the accelerated SSL rise through thermosteric effect. This study highlights the complexity of regional sea-level rise in a rapid-changing climate, in which the role of ocean salinity is vital and time-varying.

2012 ◽  
Vol 280 ◽  
pp. 511-516 ◽  
Author(s):  
Fedor Baart ◽  
Pieter H. A. J. M. van Gelder ◽  
John de Ronde ◽  
Mark van Koningsveld ◽  
Bert Wouters

2013 ◽  
Vol 6 (3) ◽  
pp. 77-85
Author(s):  
Diandong Ren ◽  
◽  
Lance Leslie ◽  
Mervyn Lynch ◽  
Qinghua Ye ◽  
...  

2020 ◽  
Vol 47 (5) ◽  
Author(s):  
Benjamin D. Hamlington ◽  
Thomas Frederikse ◽  
R. Steven Nerem ◽  
John T. Fasullo ◽  
Surendra Adhikari

2022 ◽  
Author(s):  
Abhisek Chatterjee ◽  
Sajidh C K

Abstract The regional sea level variability and its projection amidst the global sea level rise is one of the major concerns for coastal communities. The dynamic sea level plays a major role in the observed spatial deviations in regional sea level rise from the global mean. The present study evaluates 27 climate model simulations from the sixth phase of the coupled model intercomparison project (CMIP6) for their representation of the historical mean states, variability and future projections for the Indian Ocean. Most models reproduce the observed mean state of the dynamic sea level realistically, however consistent positive bias is evident across the latitudinal range of the Indian Ocean. The strongest sea level bias is seen along the Antarctic Circumpolar Current (ACC) regime owing to the stronger than observed south Indian Ocean westerlies and its equatorward bias. Further, this equatorward shift of the wind field resulted in stronger positive windstress curl across the southeasterly trade winds in the southern tropical basin and easterly wind bias along the equatorial waveguide. These anomalous easterly equatorial winds cause upwelling in the eastern part of the basin and keeps the thermocline shallower in the model than observed, resulted in enhanced variability for the dipole zonal mode or Indian Ocean dipole in the tropics. In the north Indian Ocean, the summer monsoon winds are weak in the model causing weaker upwelling and positive sea level bias along the western Arabian Sea. The high-resolution models compare better in simulating the sea level variability, particularly in the eddy dominated regions like the ACC regime in interannual timescale. However, these improved variabilities do not necessarily produce a better mean state likely due to the enhanced mixing driven by parametrizations set in these high-resolution models. Finally, the overall pattern of the projected dynamic sea level rise is found to be similar for the mid (SSP2-4.5) and high-end (SSP5-8.5) scenarios, except that the magnitude is higher under the high emission situation. Notably, the projected dynamic sea level change is found to be milder when only the best performing models are used compared to the full ensemble.


Sign in / Sign up

Export Citation Format

Share Document