AR-BECCS

Data and scripts fo publication Melnikova et al. (2023): Melnikova, I., Ciais, P., Tanaka, K. et al. Relative benefits of allocating land to bioenergy crops and forests vary by region. Commun Earth Environ 4, 230 (2023). https://doi.org/10.1038/s43247-023-00866-7 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 . [e-mail]本数据集与配套脚本用于复现Melnikova等人（2023年）已发表论文的相关研究： Melnikova, I., Ciais, P., Tanaka, K. 等. 土地分配给生物能源作物与森林的相对效益因区域而异. 《Commun Earth Environ》4, 230 (2023). 原文链接：https://doi.org/10.1038/s43247-023-00866-7 本研究采用Bash、CDO（气候数据操作工具，Climate Data Operators）与Python进行数据处理与脚本开发。 SSP5-3.4-OS-AR模拟情景的土地利用掩码（假设2040年后以造林替代BECCS（生物能源与碳捕获与储存，Bioenergy with Carbon Capture and Storage））通过src目录下的PFTforAR.sh脚本制备。 IPSL-CM6A-LR模式的模拟实验严格遵循CMIP6（耦合模式比较计划第六阶段，Coupled Model Intercomparison Project Phase 6）的统一规范开展。 经预处理为年尺度的模拟输出文件存储于ARoutputs目录下。 数据的预处理工作通过src目录下的Bash脚本完成。 论文最终配图通过Jupyter Notebook（AR-BECCS.ipynb）中的Python代码绘制完成。 用于复现上述配图的数据集存储于csv（逗号分隔值文件，Comma-Separated Values）与nc（网络通用数据格式文件，Network Common Data Form）目录中。 如有任何疑问，请联系通讯作者Irina MELNIKOVA，邮箱：[e-mail]