TY - JOUR
T1 - Energetics of Eddy–Mean Flow Interaction in the Kuroshio Current Region
AU - Wu, Yang
AU - Qiao, Dalei
AU - Liu, Chengyan
AU - Yan, Liangjun
AU - Liu, Kechen
AU - Qian, Jiangchao
AU - Qin, Qing
AU - Wei, Jianfen
AU - Chang, Heyou
AU - Zhou, Kai
AU - Qi, Zhengdong
AU - Zhu, Xiaorui
AU - Li, Jing
AU - Zhang, Yuzhou
AU - Guo, Hongtao
PY - 2025/7/3
Y1 - 2025/7/3
N2 - A comprehensive diagnosis of eddy–mean flow interaction in the Kuroshio Current (KC) region and the associated energy conversion pathway is conducted employing a state-of-the-art high-resolution global ocean–sea ice coupled model. The spatial distributions of the energy reservoirs and their conversions exhibit significant complexity. The cross-stream variation is found in the energy conversion pattern in the along-coast region, whereas a mixed positive–negative conversion pattern is observed in the off-coast region. Considering the area-integrated conversion rates between energy reservoirs, barotropic and baroclinic instabilities dominate the energy transferring from the mean flow to eddy field in the KC region. When the KC separates from the coast, it becomes highly unstable and the energy conversion rates intensify visibly; moreover, the local variations of the energy conversion are significantly influenced by the topography in the KC extension region. The mean available potential energy is the total energetic source to drive the barotropic and baroclinic energy pathway in the whole KC region, while the mean kinetic energy supplies the total energy in the extension region. For the whole KC region, the mean current transfers 84.9 GW of kinetic energy and 37.3 GW of available potential energy to the eddy field. The eddy kinetic energy is generated by mixed barotropic and baroclinic processes, amounting to 84.9 GW and 15.03 GW, respectively, indicating that topography dominates the generation of mesoscale eddy. Mean kinetic energy amounts to 11.08 GW of power from the mean available potential energy and subsequently supplies the barotropic pathway.
AB - A comprehensive diagnosis of eddy–mean flow interaction in the Kuroshio Current (KC) region and the associated energy conversion pathway is conducted employing a state-of-the-art high-resolution global ocean–sea ice coupled model. The spatial distributions of the energy reservoirs and their conversions exhibit significant complexity. The cross-stream variation is found in the energy conversion pattern in the along-coast region, whereas a mixed positive–negative conversion pattern is observed in the off-coast region. Considering the area-integrated conversion rates between energy reservoirs, barotropic and baroclinic instabilities dominate the energy transferring from the mean flow to eddy field in the KC region. When the KC separates from the coast, it becomes highly unstable and the energy conversion rates intensify visibly; moreover, the local variations of the energy conversion are significantly influenced by the topography in the KC extension region. The mean available potential energy is the total energetic source to drive the barotropic and baroclinic energy pathway in the whole KC region, while the mean kinetic energy supplies the total energy in the extension region. For the whole KC region, the mean current transfers 84.9 GW of kinetic energy and 37.3 GW of available potential energy to the eddy field. The eddy kinetic energy is generated by mixed barotropic and baroclinic processes, amounting to 84.9 GW and 15.03 GW, respectively, indicating that topography dominates the generation of mesoscale eddy. Mean kinetic energy amounts to 11.08 GW of power from the mean available potential energy and subsequently supplies the barotropic pathway.
KW - eddy–mean flow interaction
KW - Kuroshio Current
KW - eddy kinetic energy
KW - mean kinetic energy
KW - available potential energy
KW - energy budget
KW - barotropic and baroclinic instabilities
UR - https://www.scopus.com/pages/publications/105011703755
U2 - 10.3390/jmse13071304
DO - 10.3390/jmse13071304
M3 - Article
SN - 2077-1312
VL - 13
JO - Journal of Marine Science and Engineering
JF - Journal of Marine Science and Engineering
IS - 7
M1 - 1304
ER -