Global permafrost simulation and prediction from 2010 to 2100 under different climate scenarios

This paper aims to simulate and predict global permafrost distribution, and analyse its change from 2010 to 2100 under different climate scenarios. Based on different factors (topography, land cover, climate and location) and global permafrost distribution status, logistic regression model (LRM) is...

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Veröffentlicht in:	Environmental modelling & software : with environment data news 2022-03, Vol.149, p.105307, Article 105307
Hauptverfasser:	Zhao, Shangmin, Cheng, Weiming, Yuan, Yecheng, Fan, Zemeng, Zhang, Jin, Zhou, Chenghu
Format:	Artikel
Sprache:	eng
Schlagworte:	Climate prediction Climate scenarios Degradation Global permafrost distribution Land cover Land use Logistic regression model Permafrost Permafrost degradation Permafrost distribution simulation and prediction Regression models Simulation Topographic factors
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