Global permafrost simulation and prediction from 2010 to 2100 under different climate scenarios. (March 2022)
- Record Type:
- Journal Article
- Title:
- Global permafrost simulation and prediction from 2010 to 2100 under different climate scenarios. (March 2022)
- Main Title:
- Global permafrost simulation and prediction from 2010 to 2100 under different climate scenarios
- Authors:
- Zhao, Shangmin
Cheng, Weiming
Yuan, Yecheng
Fan, Zemeng
Zhang, Jin
Zhou, Chenghu - Abstract:
- Abstract: 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 chosen and constructed to simulate and predict the global permafrost distributions. Thus, the global permafrost distributions at T1 (2010–2040), T2 (2040–2070) and T3 (2070–2100) are predicted under different climate scenarios (RCP26, RCP45 and RCP85). From T1 to T3, the area of global permafrost has the largest degradation under RCP85 scenarios. From RCP26 to RCP85 at T3, the area of the degraded permafrost reached 0.671 × 10 8 km 2 . The degraded permafrost mainly distributes in east Asia, west Asia, north Europe and north America. The west Asia has the highest degrading distance, about 600 km under the situations of both RCP85 from T1 to T3 and from RCP26 to RCP85 at T3. Highlights: Global permafrost is simulated and predicted from 2010 to 2100. Global permafrost degradation various largely under different climate scenarios. West Asia has the highest degrading distance under RCP85 scenario.
- Is Part Of:
- Environmental modelling & software. Volume 149(2022)
- Journal:
- Environmental modelling & software
- Issue:
- Volume 149(2022)
- Issue Display:
- Volume 149, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 149
- Issue:
- 2022
- Issue Sort Value:
- 2022-0149-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-03
- Subjects:
- Global permafrost distribution -- Permafrost degradation -- Logistic regression model -- Permafrost distribution simulation and prediction -- Topographic factors -- Climate scenarios
Environmental monitoring -- Computer programs -- Periodicals
Ecology -- Computer simulation -- Periodicals
Digital computer simulation -- Periodicals
Computer software -- Periodicals
Environmental Monitoring -- Periodicals
Computer Simulation -- Periodicals
Environnement -- Surveillance -- Logiciels -- Périodiques
Écologie -- Simulation, Méthodes de -- Périodiques
Simulation par ordinateur -- Périodiques
Logiciels -- Périodiques
Computer software
Digital computer simulation
Ecology -- Computer simulation
Environmental monitoring -- Computer programs
Periodicals
Electronic journals
363.70015118 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13648152 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.envsoft.2022.105307 ↗
- Languages:
- English
- ISSNs:
- 1364-8152
- Deposit Type:
- Legaldeposit
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