Software tools for landscape evolution modeling

Joined April 2020
Our new single “1 to 6” (with my band mates #Roscoe) is out today! I had a lot of fun doing a video clip using @fastscape and @matplotlib! Full video: youtube.com/watch?v=zXk3kkH4…
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Check out my talk on using the ASPECT-FastScape coupling to model a new type of flexural strike-slip basin, and briefly on applying orographic controls to 2D compression and subduction models with @sasbrune and @MichaPons @fastscape @cigeodynamics youtu.be/2dZ6UVUXeao
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Just wanted to share the fun I'm having feeding @fastscape with a 3D folded landscape (w differential erodibility and diffusion). Top is the "geological map" and bottom is the water flux
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My colleague Derek Neuharth is coupling @fastscape LEM to the #ASPECT geodynamics code, we ran a quick subduction test, this is a step forward in modelling the interplay of deep and surface processes. Find more details below.
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Couldn't wait to update and release ipyfastscape 0.2.0! 3D Visualization of topographic data and landscape evolution model outputs with ipygany. github.com/fastscape-lem/ipy…
#ipygany 0.5.0 is out! The Python library for scientific visualization in a @ProjectJupyter Notebook, powered by your GPU! This release adds support for JupyterLab 3 and new colormaps and colorbars. Repo: github.com/QuantStack/ipygan… Live docs: ipygany.readthedocs.io/
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Fastscape retweeted
It can also be used for visualizing DEM data / derived data (not only model outputs), like terrain attributes here computed with @LSDTopoTools
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Fastscape retweeted
Since it uses #xarray Datasets, it works seamlessly with @landlabtoolkit too (the example below is based on the LithoLayers component).
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Fastscape retweeted
FWIW today, I've released ipyfastscape, which provides interactive widgets (#ipywidgets, #ipygany) for topographic data analysis and modelling in #jupyter notebooks (3D visualization!). Below is an example from @fastscape model runs. Check out github.com/fastscape-lem/ipy…
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Just updated the example with a @fastscape erosion model run from the extracted topography 😀
From ipyleaflet (2D) to ipygany (3D), right here in the Jupyter Notebook!
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