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Critical Southern Ocean climate model biases traced to atmospheric model cloud errors
Patrick Hyder1, John M Edwards2, Richard P Allan3,4
1Met Office Hadley Centre, FitzRoy Road, Exeter, UK. patrick.hyder@metoffice.gov.uk.
Nature Communications
|September 13, 2018
Summary
Southern Ocean climate models struggle with accuracy due to atmospheric model biases, particularly cloud-related errors. Improving cloud parameterizations is key to better representing this vital region and enhancing climate projections.
Area of Science:
- Climate Science
- Oceanography
- Atmospheric Science
Background:
- The Southern Ocean is crucial for global climate regulation.
- Existing climate models exhibit significant biases in Southern Ocean upper-ocean temperatures, clouds, and winds.
- Accurate representation of this region is vital for reliable climate projections.
Purpose of the Study:
- To identify the primary causes of sea surface temperature biases in Southern Ocean climate models.
- To investigate the feedback mechanisms influencing these biases.
- To propose targeted improvements for climate models.
Main Methods:
- Analysis of Atmospheric and Coupled Model Inter-comparison Project (AMIP5/CMIP5) simulations.
- Integration of observational data.
- Application of equilibrium heat budget theory.
Main Results:
- Sea surface temperature biases in the Southern Ocean are mainly driven by atmospheric model net surface flux errors, linked to cloud short-wave radiation biases.
- Local sea surface temperature feedbacks and wind feedbacks exacerbate upper-ocean thermal structure biases.
- Models with small net heat flux biases often achieve this through compensating errors.
Conclusions:
- Targeted improvements in cloud parameterizations are essential for enhancing Southern Ocean representation in climate models.
- Addressing cloud-related errors can mitigate biases and improve climate projections.
- Better model representation of the Southern Ocean is critical for understanding global climate dynamics.
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