Simulation of the Present and Future Projection of Permafrost on the Qinghai‐Tibet Plateau with Statistical and Machine Learning Models-Reference-Cited by-同舟云学术

Simulation of the Present and Future Projection of Permafrost on the Qinghai‐Tibet Plateau with Statistical and Machine Learning Models

Published:2021-01-19 Issue:2 Volume:126 Page:
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:Geophys Res Atmos

Author:

Ni Jie¹²,Wu Tonghua¹³^ORCID,Zhu Xiaofan¹,Hu Guojie¹,Zou Defu¹,Wu Xiaodong¹^ORCID,Li Ren¹,Xie Changwei¹,Qiao Yongping¹,Pang Qiangqiang¹,Hao Junming¹²⁴,Yang Cheng¹²

Affiliation:

1. Cryosphere Research Station on the Qinghai‐Tibet Plateau State Key Laboratory of Cryospheric Science Northwest Institute of Eco‐Environment and Resources, Chinese Academy of Sciences Lanzhou China

2. College of Resources and Environment University of Chinese Academy of Sciences Beijing China

3. Southern Marine Science and Engineering Guangdong Laboratory Guangzhou China

4. School of Civil Engineering Lanzhou University of Technology Lanzhou China

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020JD033402

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1. Statistical modelling predicts almost complete loss of major periglacial processes in Northern Europe by 2100

2. Statistical Forecasting of Current and Future Circum-Arctic Ground Temperatures and Active Layer Thickness