Tsunami flow depth in Lima/Callao (Peru) caused by six hypothetical simplified tsunami scenarios offshore Lima

Cite as:

Harig, Sven; Rakowsky, Natalja (2021): Tsunami flow depth in Lima/Callao (Peru) caused by six hypothetical simplified tsunami scenarios offshore Lima. GFZ Data Services. https://doi.org/10.5880/riesgos.2021.010

Status

I N R E V I E W : Harig, Sven; Rakowsky, Natalja (2021): Tsunami flow depth in Lima/Callao (Peru) caused by six hypothetical simplified tsunami scenarios offshore Lima. GFZ Data Services. https://doi.org/10.5880/riesgos.2021.010

Abstract

This data collection contains six inundation maps in Lima and Callao (Peru) based on tsunami simulations with the wave propagation and run-up model TsunAWI (see Rakowsky et al. 2015). The simulations were carried out in the framework of the RIESGOS project (see riesgos.de). The sources are hypothetical earthquake events in the magnitude range Mw 8.5 to Mw 9.0 offshore Lima. The source area of the events is based on the historical event from October 1746, the parameters are derived from the study Jimenez et al. (2013). The sources are considerably simplified since we aim at a systematic investigation of the tsunami impact and restrict the parameter variation between scenarios to one parameter only, the slip value. The source area is split into five subfaults, however we use a constant slip distribution.

The corresponding tsunami simulations are carried out in a triangular mesh with resolution ranging from 7km in the deep ocean to a finest value of about 7m in the coastal land part of the pilot area Lima/Callao. The flow depth distribution in Lima/Callao obtained from the simulation is interpolated to a raster file and provided as Golden Software Binary Grids.

The numerical results are obtained from simulations with the finite element model TsunAWI (Rakowsky et al. 2015). The mesh resolution in the pilot area Lima/Callao is approximately 20m, the smallest edge length is about 7m. The main model parameters are listed in Table 1. Concerning the bottom roughness, we use a constant Manning coefficient of 0.02 in all of the model domain.

Authors

Harig, Sven;Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Rakowsky, Natalja;Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany