A tighter constraint on Earth-system sensitivity from long-term\n temperature and carbon-cycle observations Article Swipe
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1910.11987
The long-term temperature response to a given change in CO2 forcing, or\nEarth-system sensitivity (ESS), is a key parameter quantifying our\nunderstanding about the relationship between changes in Earth's radiative\nforcing and the resulting long-term Earth-system response. Current ESS\nestimates are subject to sizable uncertainties. Long-term carbon cycle models\ncan provide a useful avenue to constrain ESS, but previous efforts either use\nrather informal statistical approaches or focus on discrete paleoevents. Here,\nwe improve on previous ESS estimates by using a Bayesian approach to fuse\ndeep-time CO2 and temperature data over the last 420 Myrs with a long-term\ncarbon cycle model. Our median ESS estimate of 3.4 deg C (2.6-4.7 deg C; 5-95%\nrange) shows a narrower range than previous assessments. We show that weaker\nchemical weathering relative to the a priori model configuration via reduced\nweatherable land area yields better agreement with temperature records during\nthe Cretaceous. Research into improving the understanding about these\nweathering mechanisms hence provides potentially powerful avenues to further\nconstrain this fundamental Earth-system property.\n
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/1910.11987
- https://arxiv.org/pdf/1910.11987
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4288088928
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4288088928Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.1910.11987Digital Object Identifier
- Title
-
A tighter constraint on Earth-system sensitivity from long-term\n temperature and carbon-cycle observationsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-10-25Full publication date if available
- Authors
-
Tony E. Wong, Ying Cui, Dana L. Royer, Klaus KellerList of authors in order
- Landing page
-
https://arxiv.org/abs/1910.11987Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/1910.11987Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/1910.11987Direct OA link when available
- Concepts
-
Carbon cycle, Radiative forcing, Term (time), Forcing (mathematics), Sensitivity (control systems), Earth system science, Range (aeronautics), Environmental science, Atmospheric sciences, Meteorology, Geology, Physics, Materials science, Oceanography, Quantum mechanics, Composite material, Engineering, Biology, Ecology, Aerosol, Ecosystem, Electronic engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.temperature | 2, 80, 131 |
| abstract_inverted_index.use\nrather | 56 |
| abstract_inverted_index.Earth-system | 32, 152 |
| abstract_inverted_index.assessments. | 110 |
| abstract_inverted_index.paleoevents. | 64 |
| abstract_inverted_index.relationship | 22 |
| abstract_inverted_index.5-95%\nrange) | 103 |
| abstract_inverted_index.configuration | 122 |
| abstract_inverted_index.understanding | 139 |
| abstract_inverted_index.ESS\nestimates | 35 |
| abstract_inverted_index.uncertainties. | 40 |
| abstract_inverted_index.fuse\ndeep-time | 77 |
| abstract_inverted_index.or\nEarth-system | 11 |
| abstract_inverted_index.weaker\nchemical | 114 |
| abstract_inverted_index.long-term\ncarbon | 89 |
| abstract_inverted_index.these\nweathering | 141 |
| abstract_inverted_index.further\nconstrain | 149 |
| abstract_inverted_index.our\nunderstanding | 19 |
| abstract_inverted_index.radiative\nforcing | 27 |
| abstract_inverted_index.reduced\nweatherable | 124 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.31685508 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |