Is this skill suitable for large-scale seismic inversions?

Yes, its Numba-accelerated backend makes it highly efficient and ideal for iterative workflows requiring thousands of forward computations.

Can I calculate higher modes of dispersion?

Yes, the skill allows you to specify mode numbers (0 for fundamental, 1+ for higher modes), including logic to handle periods where higher modes may not exist.

How are Earth models defined in this skill?

Models are defined as layered profiles requiring four parameters: thickness (km), Vp (km/s), Vs (km/s), and density (g/cm3), with the final layer thickness set to zero to represent a half-space.

Does it include sensitivity kernels?

Yes, it can compute sensitivity kernels for S-wave velocity, P-wave velocity, and density, which are essential for understanding which depths affect specific periods.

What wave types does the disba skill support?

It supports both Rayleigh waves (vertical and radial motion) and Love waves (horizontal SH motion) for phase and group velocity calculations.

Disba Surface Wave Dispersion

Name: Disba Surface Wave Dispersion
Author: SteadfastAsArt

bySteadfastAsArt

•

データサイエンスとML

Computes surface wave dispersion curves and sensitivity kernels for layered Earth models with high-performance Numba acceleration.

This skill enables Claude to perform advanced seismological analysis by calculating Rayleigh and Love wave phase and group velocities using the Thomson-Haskell matrix method. It provides a specialized interface for forward modeling dispersion curves from 1D velocity profiles, generating depth-sensitivity kernels (dc/dVs, dc/dVp, dc/drho), and setting up surface wave tomography workflows. Leveraging Numba-accelerated Python, it is designed for geophysicists and researchers who need fast, iterative computations for seismic inversion studies and model comparisons.

主な機能

01Forward modeling from 1D layered velocity profiles

02Automated sensitivity kernel generation for velocity and density

03Thomson-Haskell matrix method with Numba-accelerated performance

04Rayleigh and Love wave phase and group velocity calculation

05Support for fundamental and higher-mode dispersion analysis

0612 GitHub stars

ユースケース

01Generating synthetic dispersion data for geophysical research and education

02Analyzing depth sensitivity of surface waves to velocity perturbations

03Forward modeling dispersion curves for seismic inversion workflows

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add steadfastasart/geoscience-skills disba

For use in Claude.ai and ChatGPT

Download Skill