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Global decline in ocean memory over the 21st century
Hui Shi1, Fei-Fei Jin2, Robert C J Wills3
1Farallon Institute, Petaluma, CA 94952, USA.
Science Advances
|May 6, 2022
Summary
Ocean memory, crucial for climate prediction, is declining globally. This sea surface temperature persistence decrease, driven by warming oceans, shortens prediction lead times for climate extremes and marine resources.
Area of Science:
- Climate Science
- Oceanography
- Environmental Science
Background:
- Ocean memory, defined as the persistence of ocean conditions, is a key factor for climate system predictability beyond weather timescales.
- Sea surface temperature (SST) anomalies are a primary indicator of ocean memory.
Purpose of the Study:
- To investigate the projected changes in ocean memory over the coming decades.
- To identify the primary drivers of these changes and their implications for climate prediction and marine resource management.
Main Methods:
- Analysis of year-to-year persistence of sea surface temperature anomalies.
- Modeling the impact of upper-ocean mixed layer depth shoaling due to global surface warming.
- Assessment of regional thermodynamic and dynamic feedback contributions.
Main Results:
- A projected steady decline in global ocean memory over the next decades.
- The primary driver identified as the shoaling of the upper-ocean mixed layer depth due to surface warming.
- Increased effectiveness of stochastic forcing on SST anomalies as the mixed layer shallows, leading to more high-frequency noise.
Conclusions:
- Reduced ocean memory will shorten the lead times for accurate persistence-based predictions of sea surface thermal conditions.
- This decline poses new challenges for predicting climate extremes.
- Management of marine biological resources under climate change may be significantly impacted by these changes in ocean predictability.
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