Climate policy implications of nonlinear decline of Arctic land permafrost and other cryosphere elements
Lancaster University · University of Cambridge · +7 more institutions
Abstract
Arctic feedbacks accelerate climate change through carbon releases from thawing permafrost and higher solar absorption from reductions in the surface albedo, following loss of sea ice and land snow. Here, we include dynamic emulators of complex physical models in the integrated assessment model PAGE-ICE to explore nonlinear transitions in the Arctic feedbacks and their subsequent impacts on the global climate and economy under the Paris Agreement scenarios. The permafrost feedback is increasingly positive in warmer climates, while the albedo feedback weakens as the ice and snow melt. Combined, these two factors lead to significant increases in the mean discounted economic effect of climate change: +4.0% ($24.8…
Citation impact
- FWCI
- 100.16
- Percentile
- 100%
- References
- 87
Authors
10- DYDmitry YumashevCorresponding
Lancaster University
- CHChris Hope
University of Cambridge
- KSKevin Schaefer
Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder
- KRKathrin Riemann‐Campe
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- FIFernando Iglesias‐Suarez
Instituto de Química Física Blas Cabrera, Lancaster University
Topics & keywords
- Permafrost
- Arctic
- Snow
- Cryosphere
- Environmental science
- Albedo (alchemy)
- Climate change
- Ice-albedo feedback
- Climate action
Funding
- NSNational Science FoundationAwards: 1503559, 1900795
- UDU.S. Department of EnergyAward: 1503559
- NANational Aeronautics and Space AdministrationAwards: NNX17AC59A, NNX14A154G
- UOUniversity of South Florida
- DFDepartment for Environment, Food and Rural Affairs, UK Government
- UCUniversity College London
- ECEuropean CommissionAward: 603887
- MOMet Office
- EUErasmus Universiteit Rotterdam
- OOOffice of Science
- ERErasmus Research Institute of Management
- EAEngineering and Physical Sciences Research CouncilAward: EP/R01860X/1