Physics-guided machine learning approach for reconstructing air temperature in warm permafrost on the Qinghai-Xizang PlateauOA
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
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,ChinaState Key Laboratory of Cryospheric Science and Frozen Soil Engineering,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,ChinaState Key Laboratory of Cryospheric Science and Frozen Soil Engineering,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,ChinaState Key Laboratory of Cryospheric Science and Frozen Soil Engineering,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,ChinaState 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,ChinaState 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,ChinaState 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
Air temperature reconstructionWarm permafrostMachine learningQinghai-Xizang plateau
Air temperature reconstructionWarm permafrostMachine learningQinghai-Xizang plateau
《气候变化研究进展（英文版）》 2026 (4)
740-754,15
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).
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