Key uncertainties in the risks of future climate change : insights from a probabilistic analysis of climate change over the past million years

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Abstract/Contents

Abstract
What can we learn from the last million years of Earth history to better characterize important uncertainties in our understanding and predictions of anthropogenic climate change? To investigate this question, I compile a database of over 12,000 reconstructions of sea surface temperature, as well as reconstructions of polar temperatures, deep-sea temperatures, sea level, atmospheric greenhouse gases, and atmospheric dust. I create a probabilistic analysis framework to compare the reconstructions and to quantify numerous sources of uncertainty. Next, I use a Bayesian hierarchical model to assess patterns of sea surface temperature simultaneously over time and space, finding support for a "universal" curve of temperature response with latitude over the past million years. Third, I use the new database to create the first reconstruction of global average surface temperature over the past 800kyr. Previous reconstructions were limited to only a few isolated windows of time or specific locations. I find that climate models very likely (> 90% probability) underpredict global average cooling at the last glacial maximum (19-23kyr ago). I also find a remarkably stable relationship between global temperature and atmospheric carbon dioxide over the past 800kyr. Lastly, I estimate that the Earth's climate sensitivity (change in global temperature in response to a doubling of carbon dioxide concentrations) is 4.1K (2.1K-6.6K, 95% interval) and does not vary with time over the past 450kyr. These results significantly constrain the upper tail of climate sensitivity purely from the paleoclimate record and suggest that climate sensitivity values higher than 7K or less than 2K are not consistent with our current understanding of the Earth's past. Moreover, the median estimate of 4.1K is higher than 16 of the 19 IPCC global climate models. These results have important implications for assessing the risks of future climate change.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2010
Issuance monographic
Language English

Creators/Contributors

Associated with Snyder, Carolyn Warshaw
Associated with Stanford University, Interdisciplinary Program in Environment and Resources.
Primary advisor Field, Christopher
Primary advisor Schneider, Stephen Henry
Thesis advisor Field, Christopher
Thesis advisor Schneider, Stephen Henry
Thesis advisor Tebaldi, Claudia, 1966-
Thesis advisor Dunbar, Robert B, 1954-
Advisor Tebaldi, Claudia, 1966-
Advisor Dunbar, Robert B, 1954-

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Carolyn Warshaw Snyder.
Note Submitted to the Interdisciplinary Program in Environment and Resources.
Thesis Ph.D. Stanford University 2010
Location electronic resource

Access conditions

Copyright
© 2010 by Carolyn Port Snyder
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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