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Anthropogenic aerosols, greenhouse gases and the uptake, transport and storage of excess heat in the climate system: supplementary metadata

Version 3 2019-04-03, 23:04
Version 2 2019-03-07, 04:24
Version 1 2019-01-11, 01:12
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posted on 2019-04-03, 23:04 authored by Damien IrvingDamien Irving
This repository contains the details of the computational aspects of the following study:

Irving D, Wijffels S & Church J (2019). Anthropogenic aerosols, greenhouse gases and the uptake, transport and storage of excess heat in the climate system. Geophysical Research Letters. 46(9), 4894-4903. doi:10.1029/2019GL082015

The following items are included:

Data
"data.csv" is a comma separated value (CSV) file that lists each CMIP5 data file used in the study along with its version number, tracking ID and dataset ID (where available).

Processing steps
"figure*_log.txt" are log files for each figure in the paper. These files show the computational steps performed in generating the figure, in the form of a list of commands executed at the command line.

Code
"code.zip" is a version controlled (using git) file directory containing the code written to perform the analysis (i.e. it contains the scripts referred to in the log files). This code can also be found at https://github.com/DamienIrving/ocean-analysis. It should be noted that this is the author's daily code repository, which means it also contains code that does not directly relate to the paper (the log files explain which code is relevant).

Software environment
"environment.yml" describes the software environment in which the code was executed. It is a YAML file that lists the name and version number of all the software libraries installed in that environment (and their dependencies). This file is formatted such that it can be used with the conda package manager (https://conda.io) to install the complete software environment on any operating system.


The rationale behind this approach to documenting the computation aspects of the study is outlined in the following essay:

Irving, D. (2016). A Minimum Standard for Publishing Computational Results in the Weather and Climate Sciences. Bulletin of the American Meteorological Society, 97(7), 1149–1158. http://doi.org/10.1175/BAMS-D-15-00010.1

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