stochastic parameterization;
air-sea interaction;
CESM-MOM6;
climate modeling;
SURFACE TEMPERATURE ANOMALIES;
CLIMATE MODELS;
SATELLITE-OBSERVATIONS;
GULF-STREAM;
PART I;
ATLANTIC;
EDDIES;
DEPENDENCE;
FEEDBACK;
D O I:
10.1029/2023GL104248
中图分类号:
P [天文学、地球科学];
学科分类号:
07 ;
摘要:
Air-sea flux variability has contributions from both ocean and atmosphere at different spatio-temporal scales. Atmospheric synoptic scales and the air-sea turbulent heat flux that they drive are well represented in climate models, but ocean mesoscales and their associated variability are often not well resolved due to non-eddy-resolving spatial resolutions of current climate models. We deploy a physics-based stochastic subgrid-scale parameterization for ocean density, that reinforces the lateral density variations due to oceanic eddies, and examine its effect on air-sea heat flux variability in a comprehensive coupled climate model. The stochastic parameterization substantially modifies sea surface temperature (SST) and latent heat flux (LHF) variability and their co-variability, primarily at scales near the resolution of the ocean model grid. Enhancement in the SST-LHF anomaly covariance, and correlations, indicate that the ocean-intrinsic component of the air-sea heat flux variability is more consistent with high-resolution satellite observations, especially in Gulf Stream region.
机构:
Southern Marine Sci & Engn Guangdong Lab Guangzhou, Guangzhou, Peoples R China
Hong Kong Univ Sci & Technol, Dept Ocean Sci, Kowloon, Hong Kong, Peoples R China
Hong Kong Univ Sci & Technol, Southern Marine Sci & Engn Guangdong Lab Guangzhou, Hong Kong Branch, Kowloon, Hong Kong, Peoples R ChinaSouthern Marine Sci & Engn Guangdong Lab Guangzhou, Guangzhou, Peoples R China
Sun, Qiwei
Du, Yan
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Peoples R China
Chinese Acad Sci, South China Sea Inst Oceanol, Guangdong Key Lab Ocean Remote Sensing, Guangzhou, Peoples R China
Univ Chinese Acad Sci, Coll Marine Sci, Beijing, Peoples R ChinaSouthern Marine Sci & Engn Guangdong Lab Guangzhou, Guangzhou, Peoples R China