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Updated: Jul 20, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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一个改进的深度学习程序用于气候数据的统计缩小

Ahmed M S Kheir1,2, Abdelrazek Elnashar3, Alaa Mosad1,2

  • 1International Center for Agricultural Research in the Dry Areas (ICARDA), Maadi 11728, Egypt.

Heliyon
|August 4, 2023
PubMed
概括

深度学习成功地缩小了埃及的气候变化场景,预计到2100年气温将大幅上升. 这种方法为易受气候影响的干旱地区提供了有价值的数据.

关键词:
偏差的调整偏差的调整气候变化场景 气候变化场景卷积神经网络是一种卷积神经网络.在GCM中,GCM是指GCM.这是SSP的SSP.标准化 标准化 标准化

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