Machine learning-based detection of weather fronts and associated extreme precipitation in CESM1.3
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https://gdex.ucar.edu/datasets/d583105/
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资源简介：
These data are the results of high resolution simulations with the Community Earth System Model, version 1.3 (CESM1.3). These simulations form the basis of a publication analyzing machine learning based-detection of weather fronts and associated extreme precipitation. The CESM1.3 data include simulations with historical (years 2000-2005), RCP2.6 (years 2006-2015), and RCP8.5 (years 2086-2100) climate forcing. Depending on the variables, the temporal resolution is 3-hourly, 6-hourly, or monthly, the horizontal resolution is 0.25 degree or 1 degree, and the spatial domain is global or centered over North America.
提供机构：
NSF National Center for Atmospheric Research
创建时间：
2022-02-14
