Coder Social home page Coder Social logo

jiangyuinsar / slipberi Goto Github PK

View Code? Open in Web Editor NEW

This project forked from ruthamey/slipberi

0.0 2.0 1.0 155 KB

slipBERI is a matlab slip inversion code to solve for earthquake slip in a Bayesian fashion on a given fault plane, incorporating fractal properties through a von Karman prior. See Amey et al 2018: https://doi.org/10.1029/2017JB015316

MATLAB 99.95% M 0.05%

slipberi's Introduction

slipBERI is a matlab slip inversion code, that uses geodetic data (InSAR/GNSS) to solve for earthquake slip at depth in a Bayesian sense. The primary purpose of this function is to incorporate fractal properties of earthquake slip through the incorporation of von Karman autocorrelation prior. There are also some other inversion techniques included in the function, though these are not thoroughly tested.

For information on the methodology please see:
Amey, R. M. J., Hooper, A., & Walters, R. J. (2018). A Bayesian method for incorporating self‐similarity into earthquake slip inversions. Journal of Geophysical Research: Solid Earth, 123, 6052–6071. https://doi.org/10.1029/2017JB015316
or
Amey, Ruth Mary Joy (2018) The Fractal Nature of Fault Slip and Its Incorporation into Earthquake Slip Inversions. PhD thesis, University of Leeds. http://etheses.whiterose.ac.uk/22137/

And please cite Amey, R. M. J., Hooper, A., & Walters, R. J. (2018) if you use this code in your research.

This code is expected to work correctly for von Karman regularisation on one fault strand. If using more than one fault strand, some functions may not work correctly.

* * *

Using slipBERI--

Details on all the inputs required for slipBERI can be found in the 'help' section of slipBERI.m

An example set-up function (make_structure_required_for_slipBERI.m) should be run first, to make structures containing the information required by slipBERI.

slipBERI can then be run in matlab by:
>> slipBERI(fault, data, testing, invert, priors, elastic_params, display, housekeeping )

* * *

Examples--

To run this code using examples, please download:
Amey, Ruth M. J. (2018) Napa Valley Earthquake geodetic slip inversion tools and data. University of Leeds. [Dataset] http://archive.researchdata.leeds.ac.uk/446/
or
Amey, Ruth M. J. (2018) Central Tottori Earthquake geodetic slip inversion tools and data. University of Leeds. [Dataset] http://archive.researchdata.leeds.ac.uk/445/

These datasets contain all the data required to run slipBERI, as well as a function (make_<nameofearthquake>_structure_required_for_slipBERI.m) to be run first, to set up all the inputs required by slipBERI.


* * *

slipberi's People

Contributors

ruthamey avatar

Watchers

James Cloos avatar Yu Jiang avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.