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Updated: Jun 14, 2025

Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface
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Published on: June 8, 2015

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深度学习对伊朗降水中稳定同位素的空间模式的洞察:一种新的气候测绘方法

Mojtaba Heydarizad1, Rogert Sori2, Masoud Minaei3,4

  • 1State Key Laboratory of Marine Geology, Tongji University, Shanghai, People's Republic of China.

Isotopes in environmental and health studies
|September 3, 2024
PubMed
概括

这项研究使用深度学习来模拟伊朗降水中的稳定同位素,确定关键的气候因素. 深度神经网络 (DNN) 模型被证明是预测同位素变异最准确的.

关键词:
DNN DNN 在线深度学习是一种深度学习.伊朗 伊朗 伊朗 伊朗这是LSTM的LSTM.同位素水文学 同位素水文学降水 降水 降水 降水 降水模拟模拟是指一个模拟模拟.稳定的同位素是稳定的.

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