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Physics-guided machine learning approach for reconstructing air temperature in warm permafrost on the Qinghai-Xizang Plateau

Chen-Yang PENG Dong-Liang LUO Yu SHENG Ji-Chun WU Jia LIU Shi-Zhen LI Ya-Juan ZAO

气候变化研究进展(英文版)2026,Vol.17Issue(4):740-754,15.
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气候变化研究进展(英文版)2026,Vol.17Issue(4):740-754,15.DOI:10.1016/j.accre.2026.04.013

Physics-guided machine learning approach for reconstructing air temperature in warm permafrost on the Qinghai-Xizang Plateau

Physics-guided machine learning approach for reconstructing air temperature in warm permafrost on the Qinghai-Xizang Plateau

Chen-Yang PENG 1Dong-Liang LUO 2Yu SHENG 2Ji-Chun WU 2Jia LIU 1Shi-Zhen LI 1Ya-Juan ZAO1

作者信息

  • 1. State Key Laboratory of Cryospheric Science and Frozen Soil Engineering,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China||University of Chinese Academy of Sciences,Beijing 100049,China
  • 2. State Key Laboratory of Cryospheric Science and Frozen Soil Engineering,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
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摘要

关键词

Air temperature reconstruction/Warm permafrost/Machine learning/Qinghai-Xizang plateau

Key words

Air temperature reconstruction/Warm permafrost/Machine learning/Qinghai-Xizang plateau

引用本文复制引用

Chen-Yang PENG,Dong-Liang LUO,Yu SHENG,Ji-Chun WU,Jia LIU,Shi-Zhen LI,Ya-Juan ZAO..Physics-guided machine learning approach for reconstructing air temperature in warm permafrost on the Qinghai-Xizang Plateau[J].气候变化研究进展(英文版),2026,17(4):740-754,15.

基金项目

This study is financially supported by National Natural Science Foundation of China(42571181),the Science and Technology program of Gansu Province(23ZDFA017),CAS Light of West China Program(Luo D.-L.),Longyuan Youth Talents Project(Luo D.-L.).The datasets are pro-vided by National Tibetan Plateau Third Pole Environ-ment Data Center(http://data.tpdc.ac.cn). (42571181)

气候变化研究进展(英文版)

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