mahir-ally1/pt-bayeslands

Parallel Tempering Bayeslands

Bayesian inference via Parallel Tempering for Badlands

Overview

Basin and Landscape Dynamics (Badlands) is a parallel TIN-based landscape evolution model, built to simulate topography development at various space and time scales. The model is capable of simulating hillslope processes (linear & non-linear diffusion), fluvial incision ('modified' Stream Power Law, Transport Capacity Law both for sediment erosion/transport/deposition), spatially and temporally varying geodynamic (horizontal + vertical displacements) and climatic forces which can be used to simulate changes in base level, as well as effects of climate changes or sea-level fluctuations. The model uses gFlex package which is designed to solve elastic plate flexure for applications to Earth's lithosphere.

Published research studies using Badlands:

• Salles, T., N. Flament, and D. Muller: Influence of mantle flow on the drainage of eastern Australia since the Jurassic Period, Geochem. Geophys. Geosyst., 18, doi:10.1002/2016GC006617, 2017 -- Supplementary materials: Australian Landscape Dynamic

When you use Badlands, please cite the above papers.

Generation of Test Problems

https://github.com/badlands-model/BayesLands

Badlands installation and dependencies

History for educational purpose: Parallel tempering source

Parallel tempering in Python for a benchmark problem

Multi-core parallel tempering in Python for a benchmark problem

Supplementary Results

Supplemtary results by problem

Supplementary results documentation

Software development and experimentation

Dr. Rohitash Chandra, Mr. Ratneel Deo, and Dr. Nathanial Buttersworth

Contact

email: rohitash.chandra (at) sydney.edu.au website