Introduction

Ocean salinity can change in response to rainfall, evaporation, and river discharge; other processes such as changing ocean currents and mixing also can redistribute salt within the ocean. Across the past decade, extensive research has established ocean salinity as a robust indicator of changes in the global water cycle–the continuous movement of water between the ocean, land, atmosphere, and cryosphere. Ocean salinity patterns and trends have revealed an amplification of the water cycle in a warming climate, with wet regions becoming wetter and dry regions becoming drier. Understanding the mechanisms that drive long-term variations in salinity is therefore essential for diagnosing climate change and its impacts on the Earth system.

Using ECCO to Understand Long-term Changes in Salinity in the Southeast Indian Ocean 

Salinity is an important factor in the Southeast Indian Ocean (SEIO) because it influences the health of marine ecosystems and the interactions between the ocean and atmosphere, which in turn influence weather patterns. Salinity also affects the density of seawater, driving ocean currents that distribute heat, nutrients, and salt across the ocean, further shaping regional climate and monsoon systems. 

In situ observations from Argo floats reveal pronounced long-term variability in upper-ocean salinity in the Southeast Indian Ocean (Figure a). These observations show a clear freshening of the upper 70 meters from 2004 to 2010, followed by a period of sustained salinification from 2011 to 2019 (Fig. b; yellow curve). 

Previous studies suggested several possible factors causing this salinity signal: SEIO local winds affecting the advection of local waters; remote winds in the tropical Pacific forcing the advection of fresher or more saline waters into the SEIO; local evaporation and precipitation; and remote evaporation and precipitation over Indonesia being advected to the SEIO. However, these studies did not agree on the key forcing mechanism that leads to decadal variability of SEIO salinity.

Major Findings

A recent study bridged this knowledge gap by leveraging NASA’s multidecadal global ocean state estimate from the ECCO framework. ECCO is a physically consistent, data-constrained reconstruction of the global ocean state and its changes, and it faithfully reproduces the observed freshening and salinification phases seen in Argo data (Fig. b; black curve). 

The effect of evaporation, precipitation, and wind on SEIO salinity has been disentangled using ECCO global model sensitivity experiments. The model experiment that was forced with interannual evaporation and precipitation variability and climatological winds successfully captured the observed long-term freshening (2004–2010) and salinification (2011–2019) of the SEIO upper-ocean (Fig. b; blue curve). In contrast, the model experiment that was forced with interannual wind variability and climatological evaporation and precipitation failed to reproduce these trends (Fig. b; red curve), indicating that neither local nor remote wind forcing plays a primary role in driving long-term variability in SEIO salinity.

ECCO evaporation minus precipitation fields reveal strong long-term variability over Indonesia, with negative trends during 2004–2010 indicating excessive precipitation (Fig. c), followed by positive trends during 2011–2019 indicating excessive evaporation (Fig. d). This points to a corresponding long-term change in the regional water cycle. 

Further analysis⁸ based on ECCO suggests that anomalously fresh or salty waters formed near Indonesia (due to long-term changes in runoff and precipitation) are advected into the SEIO, driving the observed freshening and salinification trends. This demonstrates that the water cycle around the Indonesian region is the key driver of SEIO decadal salinity variability, helping to reconcile longstanding disagreements among previous studies. These findings fill a critical knowledge gap and provide an important benchmark for evaluating Earth system models, in which long-term variability is not directly constrained by observations.

References

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