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Updated: May 13, 2025

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评估格式气候数据集捕获温度和降水趋势和极端情况的能力

Erik Smith1, Nina Grant2,3, Xinyue Luo4,3

  • 1Electric Power Research Institute, Palo Alto, USA. esmith@epri.com.

Scientific reports
|April 12, 2025
PubMed
概括

评估了四个格式气候数据集 (ERA5,ERA5-Land,MERRA-2,PRISM) 的准确性,以捕捉连续美国的极端天气事件和趋势. 结果显示性能各不相同,PRISM在极寒中表现出色,MERRA-2在暴雨中表现出色.

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