Published March 4, 2025 | Version v3
Dataset Open

Data set for the study "Assessing the lifetime of anthropogenic CO2 and its sensitivity to different carbon cycle processes"

  • 1. ROR icon Potsdam Institute for Climate Impact Research
  • 2. ROR icon University of Potsdam
  • 3. ROR icon Max Planck Institute for Meteorology
  • 4. ROR icon Universität Hamburg
  • 5. Potsdam-Institut für Klimafolgenforschung (PIK) e V

Description

This repository contains the data necessary to reproduce the results of the paper: 
"Assessing the lifetime of anthropogenic CO2 and its sensitivity to different carbon cycle processes" 
https://doi.org/10.5194/egusphere-2024-2976

Data organization:

The Zenodo upload is organized as the following inside of results.zip:

  • Data analysis and figure generation are given by "*.pynb" and "*.m" files

  • Data files as NetCDF output are organized with the following structure inside of data:

    • Experiment: REF, noLAND, noWEATH, ECS2, ECS4, intCH4, PATH1, PATH2, and PULSE

      • Emissions scenario: 0_gtc, 500_gtc, 1000_gtc, 2000_gtc, 3000_gtc, 4000_gtc, and 5000_gtc

        • Component: atmosphere (atm), land (lnd), ocean (ocn), biogeochemistry (bgc), and the carbon cycle (co2)
          • Note: for intCH4, there is another file concerning methane (ch4)
          • Note: surface ocean pH and surface ocean DIC were not part of the standard output in the original CLIMBER-X model. Instead, these variables were calculated during post-processing using 2D spatial data. Since the 2D data was only output every 1 kyr, the first millennium of data was missing. To address this, we re-ran the experiments with surface ocean pH and DIC included in the output for the first 1 kyr. This is why there are additional individual files for pH, DIC, and the Revelle factor (see "fig5_7_8_9.ipynb" for further details).

        • File type: for each component, files are divided into timeseries (*_ts.nc) or 2D data with a 1 kyr output frequency (*.nc)
          • Note: due to size constraints of the Zenodo repository, only some 2D spatial data presented in the publication (for the REF experiment) is available. However, this is not an exhaustive dataset. For inquiries regarding additional data, please contact the corresponding author to explore potential availability.

Files

results.zip

Files (28.1 GB)

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md5:5169b703a1617d03007eb41a9f9762fd
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Additional details

Related works

Is supplement to
Journal article: 10.5194/egusphere-2024-2976 (DOI)

Software

Programming language
Python, Jupyter Notebook, MATLAB
Development Status
Active