Geoclaw inputs and processed outputs used in building tsunami ML surrogates for nearshore and onshore approximation

This dataset contains some input files needed for GeoClaw tsunami simulation and post-processed outputs used for training the nearshore and onshore surrogates discussed in the article - Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates available as preprint (https://doi.org/10.5194/nhess-2024-72) and project repo - https://github.com/naveenragur/tsunami-surrogates

The GeoClaw simulation requires the following files: 

geoclaw_dtopo_files.tar.gz: input bathymetry and topography elevation in asc format from multiple sources of datasets.

dtopo_his.tar.gz: tsunami displacement(dtopo) input files in tt3 format for historic earthquake scenarios.

dtopo_typeA.tar.gz: tsunami displacement(dtopo) input files in tt3 format for DOE type A earthquake scenarios.

dtopo_typeB.tar.gz: tsunami displacement(dtopo) input files in tt3 format for DOE type A earthquake scenarios.

The machine learning training and testing requires:

procesed_tsunami_data.tar: the post-processed outputs for the three test location i.e. (1) the waveforms( time series recorded for the water level at the offshore and the nearshore gauge locations and (2) the maximum inundation depth recorded at the fixed grids onshore.

tsunami-surrogates-nhess-2024-72.tar.gz : Model code, scripts and notebooks used in the study