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埃塞俄比亚的高分辨率CMIP6气候预测使用格式统计下调方法

Fasil M Rettie1,2, Sebastian Gayler3, Tobias K D Weber3,4

  • 1Biogeophysics, Institute of Soil Science and Land Evaluation, Hohenheim University, 70599, Stuttgart, Germany. fasil.mequanint@gmail.com.

Scientific data
|July 12, 2023
PubMed
概括

高分辨率的气候预测对于适应规划至关重要. 一种新的统计缩小方法显著减少了偏差,并改善了全球气候模型输出中的分辨率.

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