Bringing Uncertainty into Focus: Control Climate Lens Clarifies the Inter-Model Spread in Global Warming Projections
Since Chaneys report, the range of global warming projections in response to a doubling of CO2from 1.5C to 4.5C or greaterremains largely unscathed by the onslaught of new scientific insights. Conventional thinking regards inter-model differences in climate feedbacks as the sole cause of the warming...
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ftnasantrs:oai:casi.ntrs.nasa.gov:20190027628 2023-05-15T18:17:52+02:00 Bringing Uncertainty into Focus: Control Climate Lens Clarifies the Inter-Model Spread in Global Warming Projections Hu, Xiaoming Deng, Yi Yang, Song Taylor, Patrick C Sejas, Sergio Cai, Ming Unclassified, Unlimited, Publicly available June 27, 2017 application/pdf http://hdl.handle.net/2060/20190027628 unknown Document ID: 20190027628 http://hdl.handle.net/2060/20190027628 Copyright, Public use permitted CASI Meteorology and Climatology NF1676L-25903 Nature Climate Change (ISSN 1758-678X) (e-ISSN 1758-6798); 7; 4300 2017 ftnasantrs 2020-05-30T22:48:06Z Since Chaneys report, the range of global warming projections in response to a doubling of CO2from 1.5C to 4.5C or greaterremains largely unscathed by the onslaught of new scientific insights. Conventional thinking regards inter-model differences in climate feedbacks as the sole cause of the warming projection spread (WPS). Our findings shed new light on this issue indicating that climate feedbacks inherit diversity from the model control climate. Regulated by the control climate sea ice coverage via its melt potential, models with greater (lesser) sea ice coverage generally possess a colder (warmer) and drier (moister) climate, exhibit a stronger (weaker) ice-albedo feedback, and experience greater (weaker) warming. The water vapor feedback also inherits diversity from the control climate but in an opposite way: a colder (warmer) climate generally possesses a weaker (stronger) water vapor feedback, yielding a weaker (stronger) warming. These inherited traits compete to influence the warming response obscuring the correlation between the WPS and control climate diversity. We envision this new insight and enhanced control climate lens allow us to refocus an old yet underexplored line of inquiry contributing to the ultimate crack in the WPS armor and convergence of the warming projections. Other/Unknown Material Sea ice NASA Technical Reports Server (NTRS) |
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NASA Technical Reports Server (NTRS) |
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Meteorology and Climatology |
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Meteorology and Climatology Hu, Xiaoming Deng, Yi Yang, Song Taylor, Patrick C Sejas, Sergio Cai, Ming Bringing Uncertainty into Focus: Control Climate Lens Clarifies the Inter-Model Spread in Global Warming Projections |
topic_facet |
Meteorology and Climatology |
description |
Since Chaneys report, the range of global warming projections in response to a doubling of CO2from 1.5C to 4.5C or greaterremains largely unscathed by the onslaught of new scientific insights. Conventional thinking regards inter-model differences in climate feedbacks as the sole cause of the warming projection spread (WPS). Our findings shed new light on this issue indicating that climate feedbacks inherit diversity from the model control climate. Regulated by the control climate sea ice coverage via its melt potential, models with greater (lesser) sea ice coverage generally possess a colder (warmer) and drier (moister) climate, exhibit a stronger (weaker) ice-albedo feedback, and experience greater (weaker) warming. The water vapor feedback also inherits diversity from the control climate but in an opposite way: a colder (warmer) climate generally possesses a weaker (stronger) water vapor feedback, yielding a weaker (stronger) warming. These inherited traits compete to influence the warming response obscuring the correlation between the WPS and control climate diversity. We envision this new insight and enhanced control climate lens allow us to refocus an old yet underexplored line of inquiry contributing to the ultimate crack in the WPS armor and convergence of the warming projections. |
format |
Other/Unknown Material |
author |
Hu, Xiaoming Deng, Yi Yang, Song Taylor, Patrick C Sejas, Sergio Cai, Ming |
author_facet |
Hu, Xiaoming Deng, Yi Yang, Song Taylor, Patrick C Sejas, Sergio Cai, Ming |
author_sort |
Hu, Xiaoming |
title |
Bringing Uncertainty into Focus: Control Climate Lens Clarifies the Inter-Model Spread in Global Warming Projections |
title_short |
Bringing Uncertainty into Focus: Control Climate Lens Clarifies the Inter-Model Spread in Global Warming Projections |
title_full |
Bringing Uncertainty into Focus: Control Climate Lens Clarifies the Inter-Model Spread in Global Warming Projections |
title_fullStr |
Bringing Uncertainty into Focus: Control Climate Lens Clarifies the Inter-Model Spread in Global Warming Projections |
title_full_unstemmed |
Bringing Uncertainty into Focus: Control Climate Lens Clarifies the Inter-Model Spread in Global Warming Projections |
title_sort |
bringing uncertainty into focus: control climate lens clarifies the inter-model spread in global warming projections |
publishDate |
2017 |
url |
http://hdl.handle.net/2060/20190027628 |
op_coverage |
Unclassified, Unlimited, Publicly available |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
CASI |
op_relation |
Document ID: 20190027628 http://hdl.handle.net/2060/20190027628 |
op_rights |
Copyright, Public use permitted |
_version_ |
1766193282807758848 |