Networks of autonomous underwater hydrophones (AUHs) are successfully employed for monitoring the low‐level seismicity of mid‐oceanic ridges by detecting hydroacoustic phases known as T waves. For a precise localization of a seismic event from T‐wave arrival times, all AUHs must be synchronized. To this effect, at the beginning of the experiment, all instrument clocks are set to GPS time, which serves as a common reference. However, during the experiment, the instrument clock often deviates from GPS time, and, because the amount of deviation differs from one instrument to another, the synchronization of the AUHs deteriorates, as the experiment progresses in time. Just after the instrument recovery, the time difference (called “skew”) betwee...
We report on the extraction of deep ocean travel time variations from time-lapse cross-correlations ...
Instrumental timing and phase errors are a notorious problem in seismic data acquisition and process...
International audienceABSTRACT We describe an algorithm to pick event onsets in noisy records, chara...
International audienceNetworks of Autonomous Underwater Hydrophones (AUHs) are successfully employed...
Accurate timing of seismic records is essential for almost all applications in seismology. Wrong tim...
We present methods of data analysis adapted to Mobile Earthquake Recorder in Marine Areas by Indepen...
International audienceMany applications in seismology rely on the accurate absolute timing of seismo...
Many applications in seismology rely on the accurate absolute timing of seismograms. However, both s...
Abstract Accurate instrument clocks are essential for quantitative studies in seis-mology. Recent st...
Ocean-bottom seismometers (OBSs) are equipped with seismic sensors that record acoustic and seismic ...
International audienceWe present methods of data analysis adapted to Mobile Earthquake Recorder in M...
Ban Treaty Organization includes seismic, hydroacoustic and infrasound sensors that record signals t...
This dissertation describes the treatment of data recorded by a novel instrument named MERMAID, shor...
In the framework of the BRAVOSEIS project, eight broadband ocean-bottom seismometers (OBS) were depl...
We present the first 16 months of data returned from a mobile array of 16 freely-floating diving ins...
We report on the extraction of deep ocean travel time variations from time-lapse cross-correlations ...
Instrumental timing and phase errors are a notorious problem in seismic data acquisition and process...
International audienceABSTRACT We describe an algorithm to pick event onsets in noisy records, chara...
International audienceNetworks of Autonomous Underwater Hydrophones (AUHs) are successfully employed...
Accurate timing of seismic records is essential for almost all applications in seismology. Wrong tim...
We present methods of data analysis adapted to Mobile Earthquake Recorder in Marine Areas by Indepen...
International audienceMany applications in seismology rely on the accurate absolute timing of seismo...
Many applications in seismology rely on the accurate absolute timing of seismograms. However, both s...
Abstract Accurate instrument clocks are essential for quantitative studies in seis-mology. Recent st...
Ocean-bottom seismometers (OBSs) are equipped with seismic sensors that record acoustic and seismic ...
International audienceWe present methods of data analysis adapted to Mobile Earthquake Recorder in M...
Ban Treaty Organization includes seismic, hydroacoustic and infrasound sensors that record signals t...
This dissertation describes the treatment of data recorded by a novel instrument named MERMAID, shor...
In the framework of the BRAVOSEIS project, eight broadband ocean-bottom seismometers (OBS) were depl...
We present the first 16 months of data returned from a mobile array of 16 freely-floating diving ins...
We report on the extraction of deep ocean travel time variations from time-lapse cross-correlations ...
Instrumental timing and phase errors are a notorious problem in seismic data acquisition and process...
International audienceABSTRACT We describe an algorithm to pick event onsets in noisy records, chara...