,

Xiang Gao1, Andrei Sokolov2, C Adam Schlosser2

  • 1MIT Joint Program on the Science and Policy of Global Change, Cambridge, MA, 02139, USA. xgao304@mit.edu.

Scientific data
|November 14, 2023
PubMed
概括

这项研究提供了一个高分辨率的全球气候数据集,用于长期的未来预测,考虑到温室气体排放和气候变化模式的不确定性. 这些数据支持对农业和水资源等部门的区域影响评估.

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