five

Global Atmospheric Rivers (Historic and Future)

收藏
DataCite Commons2025-06-01 更新2024-07-27 收录
下载链接:
https://figshare.com/articles/Global_Atmospheric_Rivers_Historic_and_Future_/8317079/2
下载链接
链接失效反馈
官方服务:
资源简介:
This data set include netcdf (.nc) and matlab (.mat) files of the CMIP5 and ERA-Interim data used to calculate this study. The data are global AR frequency and intensity (IVT) maps, for the historic records as well as the future simulations (RCP45 and RCP85).<br>Atmospheric rivers (ARs) are narrow jets of integrated water vapor transport that are important for the global water cycle, and also have large impacts on local weather and regional hydrology. Uniformly-weighted multi-model averages have been used to describe how ARs will change in the future, but this type of estimate does not consider skill or independence of the climate models of interest. Here, we utilize information from various model averaging approaches to evaluate 21 global climate models from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Model ensemble weighting strategies based on atmospheric river model independence and performance skill relative to reanalysis data (ERA-Interim) result in lower uncertainties in the future estimates compared to the equal weighting strategy. These weighted models show that the frequency of ARs is expected to increase by the end of the century, with high certainty, by ~50% on average globally.<br><br><br>
提供机构:
figshare
创建时间:
2019-07-01
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作