Unknown

Dataset Information

0

Critical Southern Ocean climate model biases traced to atmospheric model cloud errors.


ABSTRACT: The Southern Ocean is a pivotal component of the global climate system yet it is poorly represented in climate models, with significant biases in upper-ocean temperatures, clouds and winds. Combining Atmospheric and Coupled Model Inter-comparison Project (AMIP5/CMIP5) simulations, with observations and equilibrium heat budget theory, we show that across the CMIP5 ensemble variations in sea surface temperature biases in the 40-60°S Southern Ocean are primarily caused by AMIP5 atmospheric model net surface flux bias variations, linked to cloud-related short-wave errors. Equilibration of the biases involves local coupled sea surface temperature bias feedbacks onto the surface heat flux components. In combination with wind feedbacks, these biases adversely modify upper-ocean thermal structure. Most AMIP5 atmospheric models that exhibit small net heat flux biases appear to achieve this through compensating errors. We demonstrate that targeted developments to cloud-related parameterisations provide a route to better represent the Southern Ocean in climate models and projections.

SUBMITTER: Hyder P 

PROVIDER: S-EPMC6134029 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications


The Southern Ocean is a pivotal component of the global climate system yet it is poorly represented in climate models, with significant biases in upper-ocean temperatures, clouds and winds. Combining Atmospheric and Coupled Model Inter-comparison Project (AMIP5/CMIP5) simulations, with observations and equilibrium heat budget theory, we show that across the CMIP5 ensemble variations in sea surface temperature biases in the 40-60°S Southern Ocean are primarily caused by AMIP5 atmospheric model ne  ...[more]

Similar Datasets

| S-EPMC3612620 | biostudies-literature
| S-EPMC5741665 | biostudies-literature
| S-EPMC3856815 | biostudies-other
| S-EPMC6138724 | biostudies-literature
| S-EPMC5856555 | biostudies-literature
| S-EPMC10959939 | biostudies-literature
| S-EPMC8585967 | biostudies-literature
| S-EPMC2596239 | biostudies-literature
| S-EPMC10861854 | biostudies-literature
| PRJEB37466 | ENA