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AR-BECCS

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NIAID Data Ecosystem2026-05-01 收录
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https://zenodo.org/record/7933145
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Data and scripts fo publication Melnikova et al. (2023) We use bash, CDO and python.   Land-use mask for SSP5-3.4-OS-AR simulation (assuming afforestation instead of BECCS after 2040) was prepared using src/PFTforAR.sh IPSL-CM6A-LR model simulations were performed in a consistent way with CMIP6 simulations. The (pre-processed to annual) output files are in the ARoutputs directory. Pre-processing of the data was done using bash scripts in src directory.   Final manuscript figures were made using python in the jupyter-notebook AR-BECCS.ipynb The data to reproduce the figures are stored in csv and nc directories.   If you have any questions, please contact the corresponding author Irina MELNIKOVA at melnikova . irina@nies.go.jp
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2023-05-18
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