Replication Data for: Towards tsunami early-warning with Distributed Acoustic Sensing: expected seafloor strains induced by tsunamis

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The contents of this repository are divided into 2 zip files containing: Repository_Part1.zip A) StrainModel_Fig4_5.py -- Python routine to generate Figures 4 and 5 from the seafloor strain model as described in the manuscript. B) PREM.csv -- PREM model, auxiliary file for StrainModel_Fig4_5.py C) Rcvr_Processing.py -- Python routine to extract and process data contained in D) through G) D) Seafloor_Array_Y_0km -- Directory containing synthetic data (SeisSol generated) from the seafloor-buried (10cm) receivers along the array X=0 km. E) SeaSurface_Array_Y_0km -- Directory containing synthetic data (SeisSol generated) from the receivers placed 10cm below the sea surface, along the array X=0 km. Repository_Part2.zip F) Seafloor_Array_X_100km -- Directory containing synthetic data (SeisSol generated) from the seafloor-buried (10cm) receivers along the array Y=100 km. G) SeaSurface_Array_X_100km -- Directory containing synthetic data (SeisSol generated) from the receivers placed 10cm below the sea surface, along the array X=0 km.