Published November 21, 2023 | Version v. 1.0.0
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Code and data for publication "Assessing carbon cycle projections from complex and simple models under SSP scenarios" published in "Climatic Change"

  • 1. ROR icon National Institute for Environmental Studies
  • 2. ROR icon Laboratoire des Sciences du Climat et de l'Environnement
  • 1. Université Paris-Saclay
  • 2. Commissariat à l'Énergie Atomique et aux Énergies Alternatives
  • 3. ROR icon Institut Pierre-Simon Laplace
  • 4. CEA Saclay
  • 5. National Institute for Environmental Studies (NIES)

Description

Data and scripts for the article "Assessing carbon cycle projections from complex and simple models under SSP scenarios" by I. Melnikova, P. Ciais, O. Boucher and K. Tanaka was accepted for publication in Climatic Change (https://doi.org/10.1007/s10584-023-03639-5)

 

We use bash, CDO, and python.

SSP2.xlsx contains preprocessed annual estimates of climate and carbon cycle variables from ESMs and SCMs used in the paper.

Two bash scripts contain preprocessing cdo commands for ESM output.s SCMs were preprocessed directly in python.

Jupyter notebook (python) contains preprocessing of data and plotting of all figures of the manuscript. The folder "additional" contains some more Excel files needed to run Jupyter-Notebook. Please adapt the folder names.

If you have any questions, please contact the corresponding author Irina MELNIKOVA at melnikova . irina@nies.go.jp

 

Files

additional.zip

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