Intraspecies Biologic and Behavioral Variability

Stackhouse, Stirling P.

doi:10.1037/e480812008-001

Cited by 1 publication

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The rain and the temperature data were obtained from the NASA Langley Research Center (LaRC) POWER Project funded through the NASA Earth Science/Applied Science Program (https://power.larc.nasa.gov/) (Stackhouse, 2021) and from a Joint Research Centre Data Catalog—EMO (Thiemig et al., 2022). The seismic data are available at Instituto Nazionale di Geofisica e Vulcanologia (http://iside.rm.ingv.it/instruments) (INGV, 2005).…”

Section: Data Availability Statementmentioning

confidence: 99%

“…To improve our understanding of the effect of the thermoelastic stress in controlling the observed dv / v , we generate temperature‐induced synthetic dv / v time series. To achieve this, we procure daily temperature data sets from the NASA—LaRC—POWER project (https://power.larc.nasa.gov/) data catalog found at Stackhouse (2021). The data set has a spatial resolution of 55 km × 77 km, encompassing the entire spatial distribution of the seismic stations.…”

Section: Velocity Variationsmentioning

confidence: 99%

See 1 more Smart Citation

Non‐Linear Seismic Velocity Variations Observed During a Seismic Swarm in the Alto Tiberina Low Angle Normal Fault From Ambient Noise Correlation Measurements

Mikhael,

Poli,

Garambois

2024

JGR Solid Earth

View full text Add to dashboard Cite

From seismic interferometry, we investigate the strain sensitivity to seismic velocity variations related to a seismic swarm activity that occurred in 2013 along the Alto Tiberina low angle normal fault. We compute daily auto‐correlation functions of ambient noise recorded at seismic stations located in the vicinity of the fault over the course of 10 years. Using the stretching technique, we compute daily velocity variations smoothed over a period of 100 days with a time lapse approach. Through the application of an optimization procedure based on synthetic modeling, we separate the non‐tectonic, thermoelastic and rain induced velocity variations, from the tectonic components. Consequently, we unravel a significant velocity drop of 0.033% coinciding with the swarm occurring at seismogenic depth (3–5 km). Additionally, the time evolution of the velocity changes shows a direct relationship with the strain rate rather than the strain indicating a non‐linear behavior of the crust induced by aseismic slip. The deduced strain sensitivity, exhibiting an order of magnitude comparable to that observed within volcanic settings, confirms this non‐linear behavior and suggests the presence of pressurized fluids at depth.

show abstract

Section: Data Availability Statementmentioning

confidence: 99%

Section: Velocity Variationsmentioning

confidence: 99%