[DSRP Evidence](https://dsrpevidence.org/)

# Turbulent seismoacoustic imprints during a hurricane landfall

Ji et al., 2026, Science — Geology

Patterns: [Relationships](https://dsrpevidence.org/pattern/relationships), [Perspectives](https://dsrpevidence.org/pattern/perspectives)

## In short

The hurricane's boundary-layer turbulence is a single phenomenon that discloses itself differently depending on the sensing modality (seismometer/infrasound vs. anemometer tower), and the ground-coupling of atmospheric pressure fluctuations is a genuine causal/coupling relationship between two physical domains.

## What they found (results)

Seismometers and infrasound microphones near a hurricane's landfall recorded ground vibrations and pressure fluctuations from boundary-layer turbulence that tracked independent tower-based wind measurements, with infrasound pressure acting as a proxy for wind speed and turbulent energy dissipation at 100-200 m altitude.

## Abstract

Hurricane evolution is affected by turbulence in the hurricane boundary layer (HBL), which is typically measured using aircraft flights and towers. Through a case study of a landfalling hurricane, we show that seismoacoustic data can also be used for HBL turbulence analysis. We identified contributions of HBL turbulence in infrasound pressure and seismic displacement, validating our interpretation by combining large-eddy simulation, calibrated with meteorological data, with quasi-static elastic deformation modeling. The convection velocity of the turbulent pressure field is key to this pressure–displacement coupling. For atmospheric studies, continuous infrasound pressure serves as a proxy for 10-meter wind speed, and the inertial subrange of pressure spectra provides an estimate of the turbulent dissipation rate near the top of the surface layer at ~100 to 200 meters, complementing portable tower data at ~10 meters.

These researchers were not testing DSRP. The finding is theirs; the correspondence to DSRP is drawn by this site.

[Source](https://doi.org/10.1126/science.adt7323)