首页|期刊导航|气候变化研究进展(英文版)|Physics-guided machine learning approach for reconstructing air temperature in warm permafrost on the Qinghai-Xizang Plateau
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
摘要
关键词
Air temperature reconstruction/Warm permafrost/Machine learning/Qinghai-Xizang plateauKey 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)