@article{fdi:010082191, title = {{S}train to ground motion conversion of distributed acoustic sensing data for earthquake magnitude and stress drop determination}, author = {{L}ior, {I}. and {S}laden, {A}. and {M}ercerat, {D}. and {A}mpuero, {J}ean-{P}aul and {R}ivet, {D}. and {S}ambolian, {S}.}, editor = {}, language = {{ENG}}, abstract = {{T}he use of distributed acoustic sensing ({DAS}) presents unique advantages for earthquake monitoring compared with standard seismic networks: spatially dense measurements adapted for harsh environments and designed for remote operation. {H}owever, the ability to determine earthquake source parameters using {DAS} is yet to be fully established. {I}n particular, resolving the magnitude and stress drop is a fundamental objective for seismic monitoring and earthquake early warning. {T}o apply existing methods for source parameter estimation to {DAS} signals, they must first be converted from strain to ground motions. {T}his conversion can be achieved using the waves' apparent phase velocity, which varies for different seismic phases ranging from fast body waves to slow surface and scattered waves. {T}o facilitate this conversion and improve its reliability, an algorithm for slowness determination is presented, based on the local slant-stack transform. {T}his approach yields a unique slowness value at each time instance of a {DAS} time series. {T}he ability to convert strain-rate signals to ground accelerations is validated using simulated data and applied to several earthquakes recorded by dark fibers of three ocean-bottom telecommunication cables in the {M}editerranean {S}ea. {T}he conversion emphasizes fast body waves compared to slow scattered waves and ambient noise and is robust even in the presence of correlated noise and varying wave propagation directions. {G}ood agreement is found between source parameters determined using converted {DAS} waveforms and on-land seismometers for both {P} and {S} wave records. {T}he demonstrated ability to resolve source parameters using {P} waves on horizontal ocean-bottom fibers is key for the implementation of {DAS}-based earthquake early warning, which will significantly improve hazard mitigation capabilities for offshore earthquakes, including those capable of generating tsunami.}, keywords = {}, booktitle = {}, journal = {{S}olid {E}arth}, volume = {12}, numero = {6}, pages = {1421--1442}, ISSN = {1869-9510}, year = {2021}, DOI = {10.5194/se-12-1421-2021}, URL = {https://www.documentation.ird.fr/hor/fdi:010082191}, }