A novel method to test non-exclusive hypotheses applied to Arctic ice projections from dependent models
Climate models depend on each other which makes meaningful comparisons difficult. Here, the authors apply a novel Bayesian method to test non-exclusive hypotheses to a set of climate models and show that the Arctic is likely to be ice-free at 2 to 2.5 °C of warming, with a sizeable risk even at lowe...
| Published in: | Nature Communications |
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| Main Authors: | , , , , , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
Nature Portfolio
2019
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| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41467-019-10561-x https://doaj.org/article/0a4932248ea141ba9513f04d7d260ef6 |
| Summary: | Climate models depend on each other which makes meaningful comparisons difficult. Here, the authors apply a novel Bayesian method to test non-exclusive hypotheses to a set of climate models and show that the Arctic is likely to be ice-free at 2 to 2.5 °C of warming, with a sizeable risk even at lower rates. |
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