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https://github.com/daniel-furman/ice-densification-research

All data and analyses to reproduce my ice material science research, as published in Penn Science: Furman and Goldsby, 2021.
https://github.com/daniel-furman/ice-densification-research

compaction dislocation-creep firn grain-size ice-sheets material-science mechanism-maps rheology scientific-computing sympy-library

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All data and analyses to reproduce my ice material science research, as published in Penn Science: Furman and Goldsby, 2021.

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README

        

## The Rheological Behavior of Firn: Experimental Observations of Dislocation Creep via Grain Boundary Sliding

*How does grain size, strain state, and microstructure influence the rheological behavior of ice compaction among glaciers and ice sheets?*

**[`Firn_notebook.ipynb`](https://nbviewer.jupyter.org/github/daniel-furman/Furman-and-Goldsby/blob/master/Firn_notebook.ipynb)**

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Experimental results | Mechanism map for firn
:-------------------------------------------:|:------------------------------:
![](data/exp-interv.png) | ![](data/map.png)

### Key Points

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* Constant stress laboratory experiments were performed on H20 ice powder samples with roughly uniform grain size varying from 5 to 550 micrometers (µm) in radius.
* Two rheologically-distinct creep regimes emerged, characterized by their grain size sensitivity and stress dependence: dislocation creep (n ~ 3.7, p ~ 0) and disGBS (n ~ 1.6, p ~ 0.9).
* Flow laws resolved the disGBS mechanism as predominantly rate-limiting for natural conditions, such as in glaciers and ice sheets.

### Data

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Output from compaction tests (compaction*.csv) and pressure-density profiles (site-name*.csv) are contained in the data/ subfolder.

### Paper Figures

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Figure 1: From (a) [Breant et al. (2017)](https://doi.org/10.5194/cp-13-833-2017) (their Figure 3) and (b) [Faria et al. (2014)](https://doi.org/10.1016/j.jsg.2013.11.003) (their Figure 7).


Figure 2: Photographs taken in the laboratory and diagram made with PowerPoint


Figure 3: `flow_law_fiting.py`


Figure 4: `mechanism_maps.py`


Table S1: `calc_dens_rates.py`

### Workflow

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The programming workflow is available in [`Firn_notebook.ipynb`](https://nbviewer.jupyter.org/github/daniel-furman/Furman-and-Goldsby/blob/master/Firn_notebook.ipynb), where each .py script is ran in an easy to follow sequence.