| 注册
首页|期刊导航|气候变化研究进展(英文版)|Contributions of internal climate variability in driving global and ocean temperature variations using multi-layer perceptron neural network

Contributions of internal climate variability in driving global and ocean temperature variations using multi-layer perceptron neural network

Hai-Xia XIAO Xi LIU Rong YU Bin YAO Feng ZHANG Ya-Qiang WANG

气候变化研究进展(英文版)2022,Vol.13Issue(4):459-472,14.
气候变化研究进展(英文版)2022,Vol.13Issue(4):459-472,14.

Contributions of internal climate variability in driving global and ocean temperature variations using multi-layer perceptron neural network

Contributions of internal climate variability in driving global and ocean temperature variations using multi-layer perceptron neural network

Hai-Xia XIAO 1Xi LIU 1Rong YU 2Bin YAO 1Feng ZHANG 3Ya-Qiang WANG4

作者信息

  • 1. Key Laboratory of Transportation Meteorology of China Meteorological Administration,Nanjing Joint Institute for Atmospheric Sciences,Nanjing 210041,China
  • 2. State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences,Beijing 100081,China
  • 3. Shanghai Qi Zhi Institute,Shanghai 200232,China
  • 4. Department of Atmospheric and Oceanic Sciences&Institute of Atmospheric Sciences,Fudan University,Shanghai 200438,China
  • 折叠

摘要

关键词

Global and ocean surface temperature/Attribution analysis/Multi-layer perceptron neural network/Internal climate variability/Annual and interannual timescales

Key words

Global and ocean surface temperature/Attribution analysis/Multi-layer perceptron neural network/Internal climate variability/Annual and interannual timescales

引用本文复制引用

Hai-Xia XIAO,Xi LIU,Rong YU,Bin YAO,Feng ZHANG,Ya-Qiang WANG..Contributions of internal climate variability in driving global and ocean temperature variations using multi-layer perceptron neural network[J].气候变化研究进展(英文版),2022,13(4):459-472,14.

基金项目

This study was supported by the Special Funds for Basic Research Fund of the Chinese Academy of Meteorological Sciences(2020Z011,2021Y010 and 2021Y005).We are grateful to three anonymous reviewers and editors for their constructive comments.We thank Dr.Xu-Dong Wang from Fudan University for his helpful suggestions and Sklearn(https://scikit-learn.org/stable/)for providing the machine learning algorithms. (2020Z011,2021Y010 and 2021Y005)

气候变化研究进展(英文版)

OACSCDSCI

1674-9278

访问量0
|
下载量0
段落导航相关论文