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Amazon windthrow disturbances are likely to increase with storm frequency under global warming: Data and Codes

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DataONE2024-10-28 更新2025-04-26 收录
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This zipfile includes datasets and codes that were used to produce the results in the paper entitled Amazon windthrow disturbances are likely to increase with storm frequency under global warming. Datasets include:1. Windthrow density across the entire Amazon - GIS shapefile format2. Current ERA 5 mean afternoon convective available potential energy (CAPE) (1990-2019) - Remote Sensing TIFF format3. Estimated future mean CAPE from 10 models in CMIP 6 (2070-2099) - Remote Sensing TIFF format4. Python codes in jupyter notebook and processed datasets used to generate Fig.2a and Table 1 in the paper. You will need to use Jupyter Notebook and Python for accessing and reading the codes.Please contact Yanlei Feng (ylfeng@berkeley.edu) for any questions.Paper associated with this dataset:Feng, Y., Negrón-Juárez, R.I., Romps, D.M. and Chambers, J.Q., 2023. Amazon windthrow disturbances are likely to increase with storm frequency under global warming. Nature communications, 14(1), p.101. This dataset was originally published on the NGEE Tropics Archive and is being mirrored on ESS-DIVE for long-term archival Acknowledgement: We acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP6. We thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF.

本压缩包包含用于复现题为"全球变暖背景下亚马逊流域风倒干扰或随风暴频次增加而加剧"的论文中所有结果的数据集与代码。数据集具体包括: 1. 全亚马逊流域风倒密度数据——地理信息系统(GIS)形状文件(shapefile)格式 2. 1990-2019年ECMWF ERA5再分析资料午后平均对流有效位能(Convective Available Potential Energy, CAPE)——遥感TIFF格式 3. 耦合模式比较计划第六阶段(Coupled Model Intercomparison Project Phase 6, CMIP6)中10个模式预估的2070-2099年平均CAPE——遥感TIFF格式 4. 用于生成论文中图2a与表1的Jupyter Notebook格式Python代码及预处理后数据集 您需使用Jupyter Notebook与Python环境读取并运行上述代码。如有任何疑问,请联系冯延磊(Yanlei Feng),邮箱:ylfeng@berkeley.edu。 本数据集关联的论文信息如下: Feng Y, Negrón-Juárez R I, Romps D M, Chambers J Q. 2023. 全球变暖背景下亚马逊流域风倒干扰或随风暴频次增加而加剧[J]. 自然-通讯(Nature Communications), 14(1): 101. 本数据集最初发布于NGEE热带地区档案馆(NGEE Tropics Archive),现由ESS-DIVE进行镜像以实现长期归档。 致谢: 本研究感谢世界气候研究计划(World Climate Research Programme, WCRP)及其耦合模式工作组对耦合模式比较计划第六阶段(CMIP6)的协调与推广;感谢各气候模式研发团队生成并公开其模式输出结果;感谢地球系统网格联合会(Earth System Grid Federation, ESGF)对数据进行归档并提供访问渠道;同时感谢所有支持CMIP6与ESGF的资助机构。
创建时间:
2024-10-28
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