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DO-progression

This repository contains all the data/code to reproduce the results for

Erhardt, T., Capron, E., Rasmussen, S. O., Schüpbach, S., Bigler, M., Adolphi, F., & Fischer, H. (2019). Decadal-scale progression of the onset of Dansgaard--Oeschger warming events. Climate of the Past, 15(2), 811-825. doi:10.5194/cp-15-811-2019

The easiest way to install all the requirements, is using conda and the provided environment.yml file that specifies the dependencies of the code. To create a conda environment with the necessary packages run

conda env create environment.yml

and to activate it

source activate DO-progression

Running make all will than produce all the figures shown in the paper (in the folder 'figures/') as well as all supplementary files supplied with the paper (in the folder 'results/').

This will run the fitting, trace post processing and plotting scripts in that order.

Warning: Running the analysis can take a long time depending on your computer. It will produce about 11 GB of intermediate results in the 'ramp_fits/samplers' and 'ramp_fits/traces' folders. Restarting the analysis script will skip fits that where already run.

All sub directories contain their own respective README.md files:

Attribution

This code is associated and written for above mentioned paper. If you make use of it, please cite the accompanying paper.

License

Copyright 2019 Tobias Erhardt

The code in this repository is made available under the terms of the MIT License. For details, see LICENSE file.

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Code accompanying the Dansgaard-Oeschger event progression paper

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