Davoli et al. (2025) Observed Mesoscale Wind Response to Sea Surface Temperature Patterns: Modulation by Large-Scale Physical Conditions

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Remote Sensing
• Year: 2025
• Date: 2025-11-19
• Authors: Lorenzo F. Davoli, Agostino N. Meroni, Claudia Pasquero
• DOI: 10.3390/rs17223764

Research Groups

Not explicitly stated in the provided text.

Short Summary

This study uses high-resolution (10 km) MetOp A satellite observations to observationally verify the dependence of sea surface temperature (SST)-wind coupling on large-scale wind and atmospheric stability, confirming theoretical understanding but revealing significant discrepancies in global numerical models under stable atmospheric conditions.

Objective

• To observationally verify the dependence of the downward momentum mixing (DMM) mechanism on large-scale wind (U) and atmospheric stability using O(10 km) MetOp A satellite observations.
• To propose and fit a simple empirical model describing how SST-wind coupling intensity varies with U, accounting for the characteristic SST length scale and boundary layer height.

Study Configuration

• Spatial Scale: Mesoscale, with primary observational data at approximately 10 km resolution.
• Temporal Scale: Long-term observational record (MetOp A) and global reanalysis data (ERA5) for establishing dependencies.

Methodology and Data

• Models used: Empirical model (proposed in the study); ERA5 reanalysis (for comparison and physical interpretation).
• Data sources: MetOp A satellite observations (surface wind, sea surface temperature); ERA5 global reanalysis data.

Main Results

• The empirical model, fitted to observations, reveals a scaling of coupling intensity with large-scale wind (U) that is dependent on atmospheric stability, consistent with existing literature.
• The physical interpretation derived from ERA5 reanalysis is largely confirmed by observations.
• Significant discrepancies emerge between observations and ERA5 reanalysis, particularly in stable atmospheric regimes and specific regional contexts.
• These discrepancies suggest that global numerical models may not accurately reproduce SST-wind coupling under certain conditions, which has important implications for air-sea fluxes.

Contributions

• Provides crucial observational confirmation of SST-wind coupling mechanisms using high-resolution (10 km) satellite data, addressing limitations of numerical simulations.
• Identifies specific environmental conditions (stable atmospheric regimes) and regional contexts where global numerical models exhibit significant inaccuracies in representing SST-wind coupling.
• Develops and validates a simple empirical model that describes the variation of coupling intensity as a function of large-scale wind, atmospheric stability, characteristic SST length scale, and boundary layer height.

Funding

Not explicitly stated in the provided text.

Citation

@article{Davoli2025Observed,
  author = {Davoli, Lorenzo F. and Meroni, Agostino N. and Pasquero, Claudia},
  title = {Observed Mesoscale Wind Response to Sea Surface Temperature Patterns: Modulation by Large-Scale Physical Conditions},
  journal = {Remote Sensing},
  year = {2025},
  doi = {10.3390/rs17223764},
  url = {https://doi.org/10.3390/rs17223764}
}