Data for The location of large-scale soil moisture anomalies affects moisture transport and precipitation over southeastern South America

This dataset contains model output from the Community Earth System Model, Version 1 (CESM1; Hurrell et al., 2013) and variables from the European Centre for Medium-Range Weather Forecast (ECMWF) Reanalysis v5 (ERA5; Hersbach et al., 2020). These data were used for analysis in “The location of large-scale soil moisture anomalies affects moisture transport and precipitation over southeastern South America”, published in Geophysical Research Letters. Acknowledgments: This work was supported by NSF Award AGS-1852709. We acknowledge high-performance computing support from Cheyenne (doi:10.5065/D6RX99HX) provided by NCAR's Computational and Information Systems Laboratory, sponsored by the NSF. We thank Dr. Haiyan Teng for providing guidance on setting up the CESM experiments and offering valuable advice. References: Hersbach H, Bell B, Berrisford P, et al. The ERA5 global reanalysis. Q J R Meteorol Soc. 2020; 146: 1999–2049. https://doi.org/10.1002/qj.3803 Hurrell, J. W., and Coauthors, 2013: The Community Earth System Model: A Framework for Collaborative Research. Bull. Amer. Meteor. Soc., 94, 1339–1360, https://doi.org/10.1175/BAMS-D-12-00121.1

本数据集汇集了社区地球系统模型第1版（CESM1；Hurrell 等人，2013年）的模型输出及欧洲中期天气预报中心（ECMWF）再分析第5版（ERA5；Hersbach 等人，2020年）的变量。这些数据被应用于发表于《地球物理研究快报》的“大规模土壤湿度异常的位置影响东南南美洲的湿度和降水”一文的分析中。致谢：本研究得到了美国国家科学基金会（NSF）颁发的AGS-1852709号奖项的支持。我们感谢NCAR的计算与信息系统实验室提供的Cheyenne高性能计算支持（doi:10.5065/D6RX99HX），该实验室由NSF资助。我们还要感谢滕海燕博士在设置CESM实验和提供宝贵建议方面的指导。参考文献：Hersbach H, Bell B, Berrisford P, et al. The ERA5 global reanalysis. Q J R Meteorol Soc. 2020; 146: 1999–2049. https://doi.org/10.1002/qj.3803 Hurrell, J. W., and Coauthors, 2013: The Community Earth System Model: A Framework for Collaborative Research. Bull. Amer. Meteor. Soc., 94, 1339–1360, https://doi.org/10.1175/BAMS-D-12-00121.1