Articles | Volume 9, issue 6
https://doi.org/10.5194/tc-9-2237-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-9-2237-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 Dec 2015
Research article |
| 04 Dec 2015
Improved Arctic sea ice thickness projections using bias-corrected CMIP5 simulations
N. Melia
CORRESPONDING AUTHOR
Department of Meteorology, University of Reading, Reading, UK
K. Haines
National Centre for Earth Observation, Department of Meteorology, University of Reading, Reading, UK
E. Hawkins
NCAS-Climate, Department of Meteorology, University of Reading, Reading, UK
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31 citations as recorded by crossref.
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- Climate models underestimate the sensitivity of Arctic sea ice to carbon emissions F. Diebold & G. Rudebusch 10.1016/j.eneco.2023.107012
- Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice–ocean data assimilation system T. Nakanowatari et al. 10.5194/tc-12-2005-2018
- Arctic sea-ice change tied to its mean state through thermodynamic processes F. Massonnet et al. 10.1038/s41558-018-0204-z
- Projections of Arctic sea ice conditions and shipping routes in the twenty-first century using CMIP6 forcing scenarios T. Wei et al. 10.1088/1748-9326/abb2c8
- Variability of Arctic Sea Ice Thickness Using PIOMAS and the CESM Large Ensemble Z. Labe et al. 10.1175/JCLI-D-17-0436.1
- Sea ice decline and 21st century trans‐Arctic shipping routes N. Melia et al. 10.1002/2016GL069315
- An Improved A* Algorithm Based on Hesitant Fuzzy Set Theory for Multi-Criteria Arctic Route Planning Y. Wang et al. 10.3390/sym10120765
- Evaluating sea ice thickness simulation is critical for projecting a summer ice-free Arctic Ocean X. Zhou et al. 10.1088/1748-9326/ac9d4d
- ESD Ideas: Arctic amplification's contribution to breaches of the Paris Agreement A. Duffey et al. 10.5194/esd-14-1165-2023
- Feasibility of the Northeast Passage: The role of vessel speed, route planning, and icebreaking assistance determined by sea-ice conditions for the container shipping market during 2020–2030 Y. Wang et al. 10.1016/j.tre.2021.102235
- The missing middle: Central Arctic Ocean gaps in fishery research and science coordination T. Van Pelt et al. 10.1016/j.marpol.2017.08.008
- Assessment of multiple climate change effects on plantation forests in New Zealand M. Watt et al. 10.1093/forestry/cpy024
- Accessibility in key areas of the Arctic in the 21st mid-century J. Chen et al. 10.1016/j.accre.2023.11.011
- Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis J. Xie et al. 10.5194/tc-12-3671-2018
- An emergent constraint on future Arctic sea-ice albedo feedback C. Thackeray & A. Hall 10.1038/s41558-019-0619-1
- Implications of climate change for shipping: Opening the Arctic seas A. Ng et al. 10.1002/wcc.507
- May China Fish in the Arctic Ocean? Y. Chang & M. Khan 10.3390/su132111875
- The Trajectory Towards a Seasonally Ice-Free Arctic Ocean D. Notz & J. Stroeve 10.1007/s40641-018-0113-2
- An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models A. Keen et al. 10.5194/tc-15-951-2021
- Ocean Reanalyses: Recent Advances and Unsolved Challenges A. Storto et al. 10.3389/fmars.2019.00418
- Quantifying the Contribution of Internal Atmospheric Drivers to Near-Term Projection Uncertainty in September Arctic Sea Ice Z. Shen et al. 10.1175/JCLI-D-21-0579.1
- Arctic Sea Ice in CMIP6 D. Notz & S. Community 10.1029/2019GL086749
- A techno-economic environmental cost model for Arctic shipping L. Joseph et al. 10.1016/j.tra.2021.06.022
- An assessment of ten ocean reanalyses in the polar regions P. Uotila et al. 10.1007/s00382-018-4242-z
- Aotearoa New Zealand's 21st‐Century Wildfire Climate N. Melia et al. 10.1029/2022EF002853
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Latest update: 23 Apr 2025
Short summary
Projections of Arctic sea ice thickness (SIT) have the potential to inform stakeholders about accessibility to the region, but are currently rather uncertain. We present a new method to constrain global climate model simulations of SIT to narrow projection uncertainty via a statistical bias-correction technique.
Projections of Arctic sea ice thickness (SIT) have the potential to inform stakeholders about...
