EGU26-3747, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-3747
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Thursday, 07 May, 14:00–15:45 (CEST), Display time Thursday, 07 May, 14:00–18:00
 
Hall X5, X5.327
SQG-based Reconstruction of Mesoscale-to-Submesoscale Dynamics: Applicability of Different Methods in the Core Agulhas System
Zhiqiang Chen1, Zhiyou Jing1, Xidong Wang2, Franziska U. Schwarzkopf3, René Schubert3, and Arne Biastoch3,4
Zhiqiang Chen et al.
  • 1South China Sea Institute of Oceanology, Chinese Academy of Sciences, State Key Laboratory of Tropical Oceanography, Guangzhou, China (chenzhiqiang@scsio.ac.cn)
  • 2Key Laboratory of Marine Hazards Forecasting, Ministry of Natural Resources, Hohai University, Nanjing, China
  • 3GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
  • 4Christian-Albrechts-University Kiel, Kiel, Germany

High-resolution satellite observations increasingly enable characterization of mesoscale and submesoscale ocean variability, but their ability to inform reconstruction of subsurface circulation remains uncertain, particularly in regions where intense multi-scale interactions challenge geostrophic constraints. The Surface Quasi-Geostrophic (SQG) framework offers potential in reconstructing three-dimensional upper-ocean dynamics from surface fields, yet its performance across methods and dynamical regimes has not been systematically quantified. Using two parallel physically consistent mesoscale-resolving (1/20°) and submesoscale-permitting (1/60°) model simulations, we investigate four established SQG-based reconstruction methods for their applicability to reconstruct three-dimensional subsurface velocity and density anomalies from surface information in the core Agulhas region. The extended “interior + surface quasigeostrophic” numerical solution-based method (L19), which refines the representation of higher baroclinic modes following the “effective” SQG framework, emerges as the most skillful. L19 effectively reconstructs mesoscale structures (>100 km) and maintains strong spectral agreement with model simulations down to ~50 km near the surface. Its skill varies with seasonal mixed‐layer depth and regional eddy activity, improving under shallow, stable mixed layers and in energetic areas along the Agulhas Retroflection, ring pathways, and the Agulhas Return Current. While density reconstructions remain robust across dynamical regimes, velocity reconstructions deteriorate when submesoscale (<50 km) surface variability dominates, reflecting unresolved ageostrophic motions and rapid vertical decorrelation at submesoscales. These results delineate the effective operating range of SQG-based methods and provide a benchmark for applying submesoscale-resolving satellite observations (e.g., Surface Water and Ocean Topography) to investigate upper-ocean circulation within the Agulhas Current system and other dynamically active regions.

How to cite: Chen, Z., Jing, Z., Wang, X., Schwarzkopf, F. U., Schubert, R., and Biastoch, A.: SQG-based Reconstruction of Mesoscale-to-Submesoscale Dynamics: Applicability of Different Methods in the Core Agulhas System, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3747, https://doi.org/10.5194/egusphere-egu26-3747, 2026.