The Impact of Air–Sea Flux Parameterization Methods on Simulating Storm Surges and Ocean Surface Currents
As the primary driver of energy transfer between atmospheric and oceanic systems, the air–sea momentum flux fundamentally governs coupled model dynamics through its regulation of wind stress partitioning. Given the complexity of the physical processes involved, simplified representations of these in...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/13/3/541 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850203876688396288 |
|---|---|
| author | Li Cai Bin Wang Wenqian Wang Xingru Feng |
| author_facet | Li Cai Bin Wang Wenqian Wang Xingru Feng |
| author_sort | Li Cai |
| collection | DOAJ |
| description | As the primary driver of energy transfer between atmospheric and oceanic systems, the air–sea momentum flux fundamentally governs coupled model dynamics through its regulation of wind stress partitioning. Given the complexity of the physical processes involved, simplified representations of these interactions are widely adopted to balance computational efficiency and physical fidelity. This systematic evaluation of five wind stress parameterizations reveals scheme-dependent variability in momentum partitioning efficiency, particularly under typhoon conditions. Our results quantify how the wind stress drag coefficient’s formulation alters atmosphere–ocean feedback, with wave-state aware schemes exhibiting superior surge prediction accuracy compared to wind-speed-dependent approaches. Specifically, a larger wind stress drag coefficient leads to increased atmospheric bottom stress and sea surface stress, resulting in weaker winds and larger sea surface currents and storm surges. These findings provide actionable guidelines into the performance and sensitivity of various air–sea coupled models and offer useful suggestions for improving operational marine forecasting systems. |
| format | Article |
| id | doaj-art-0c18655f9b05490da1e76fe2a0a41bb2 |
| institution | OA Journals |
| issn | 2077-1312 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-0c18655f9b05490da1e76fe2a0a41bb22025-08-20T02:11:24ZengMDPI AGJournal of Marine Science and Engineering2077-13122025-03-0113354110.3390/jmse13030541The Impact of Air–Sea Flux Parameterization Methods on Simulating Storm Surges and Ocean Surface CurrentsLi Cai0Bin Wang1Wenqian Wang2Xingru Feng3POWERCHINA Huadong Engineering Corporation Limited, Hangzhou 310014, ChinaPOWERCHINA Huadong Engineering Corporation Limited, Hangzhou 310014, ChinaPOWERCHINA Huadong Engineering Corporation Limited, Hangzhou 310014, ChinaKey Laboratory of Ocean Observation and Forecasting, Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, ChinaAs the primary driver of energy transfer between atmospheric and oceanic systems, the air–sea momentum flux fundamentally governs coupled model dynamics through its regulation of wind stress partitioning. Given the complexity of the physical processes involved, simplified representations of these interactions are widely adopted to balance computational efficiency and physical fidelity. This systematic evaluation of five wind stress parameterizations reveals scheme-dependent variability in momentum partitioning efficiency, particularly under typhoon conditions. Our results quantify how the wind stress drag coefficient’s formulation alters atmosphere–ocean feedback, with wave-state aware schemes exhibiting superior surge prediction accuracy compared to wind-speed-dependent approaches. Specifically, a larger wind stress drag coefficient leads to increased atmospheric bottom stress and sea surface stress, resulting in weaker winds and larger sea surface currents and storm surges. These findings provide actionable guidelines into the performance and sensitivity of various air–sea coupled models and offer useful suggestions for improving operational marine forecasting systems.https://www.mdpi.com/2077-1312/13/3/541air–sea interactionparameterizationcoupled modelsstorm surgessurface currents |
| spellingShingle | Li Cai Bin Wang Wenqian Wang Xingru Feng The Impact of Air–Sea Flux Parameterization Methods on Simulating Storm Surges and Ocean Surface Currents Journal of Marine Science and Engineering air–sea interaction parameterization coupled models storm surges surface currents |
| title | The Impact of Air–Sea Flux Parameterization Methods on Simulating Storm Surges and Ocean Surface Currents |
| title_full | The Impact of Air–Sea Flux Parameterization Methods on Simulating Storm Surges and Ocean Surface Currents |
| title_fullStr | The Impact of Air–Sea Flux Parameterization Methods on Simulating Storm Surges and Ocean Surface Currents |
| title_full_unstemmed | The Impact of Air–Sea Flux Parameterization Methods on Simulating Storm Surges and Ocean Surface Currents |
| title_short | The Impact of Air–Sea Flux Parameterization Methods on Simulating Storm Surges and Ocean Surface Currents |
| title_sort | impact of air sea flux parameterization methods on simulating storm surges and ocean surface currents |
| topic | air–sea interaction parameterization coupled models storm surges surface currents |
| url | https://www.mdpi.com/2077-1312/13/3/541 |
| work_keys_str_mv | AT licai theimpactofairseafluxparameterizationmethodsonsimulatingstormsurgesandoceansurfacecurrents AT binwang theimpactofairseafluxparameterizationmethodsonsimulatingstormsurgesandoceansurfacecurrents AT wenqianwang theimpactofairseafluxparameterizationmethodsonsimulatingstormsurgesandoceansurfacecurrents AT xingrufeng theimpactofairseafluxparameterizationmethodsonsimulatingstormsurgesandoceansurfacecurrents AT licai impactofairseafluxparameterizationmethodsonsimulatingstormsurgesandoceansurfacecurrents AT binwang impactofairseafluxparameterizationmethodsonsimulatingstormsurgesandoceansurfacecurrents AT wenqianwang impactofairseafluxparameterizationmethodsonsimulatingstormsurgesandoceansurfacecurrents AT xingrufeng impactofairseafluxparameterizationmethodsonsimulatingstormsurgesandoceansurfacecurrents |