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

This repository contains the data sets and Python routines to replicate results outlined in the manuscript: Towards tsunami early-warning with Distributed Acoustic Sensing: expected seafloor strains induced by tsunamis. The contents of this repository are divided into 2 zip files containing: Repository_Part1.zip A) Input files used to define and render the simulation with the SeisSol software package. B) StrainModel_Fig4_5.py -- Python routine to generate Figures 3 and 4 from the seafloor strain model as described in the manuscript. C) PREM.csv -- PREM model, auxiliary file for StrainModel_Fig4_5.py D) Rcvr_Processing.py -- Python routine to extract and process data contained in F) through I). Generate results observed in Fig.6 E) receiver_lines1234567.dat -- Receiver location file, auxiliary file for Rcvr_Processing.py F) Seafloor_Array_Y_0km -- Directory containing synthetic data (SeisSol generated) from the seafloor-buried (10cm) receivers along the array Y=0 km. G) SeaSurface_Array_Y_0km -- Directory containing synthetic data (SeisSol generated) from the receivers placed 10cm below the sea surface, along the array Y=0 km. Repository_Part2.zip H) Seafloor_Array_X_100km -- Directory containing synthetic data (SeisSol generated) from the seafloor-buried (10cm) receivers along the array X=100 km. I) SeaSurface_Array_X_100km -- Directory containing synthetic data (SeisSol generated) from the receivers placed 10cm below the sea surface, along the array X=100 km.