Last Glacial Maximum pattern effects reduce climate sensitivity estimates

Author:

Cooper Vincent T.1ORCID,Armour Kyle C.12ORCID,Hakim Gregory J.1ORCID,Tierney Jessica E.3ORCID,Osman Matthew B.4ORCID,Proistosescu Cristian5ORCID,Dong Yue6,Burls Natalie J.7ORCID,Andrews Timothy8ORCID,Amrhein Daniel E.9ORCID,Zhu Jiang9ORCID,Dong Wenhao1011ORCID,Ming Yi12ORCID,Chmielowiec Philip5

Affiliation:

1. Department of Atmospheric Sciences, University of Washington, Seattle, WA, USA.

2. School of Oceanography, University of Washington, Seattle, WA, USA.

3. Department of Geosciences, University of Arizona, Tucson, AZ, USA.

4. Department of Geography, University of Cambridge, Cambridge, UK.

5. Department of Climate, Meteorology, and Atmospheric Sciences and Department of Earth Sciences and Environmental Change, University of Illinois at Urbana Champaign, Urbana, IL, USA.

6. Cooperative Institute for Research in Environmental Science, University of Colorado, Boulder, CO, USA.

7. Department of Atmospheric, Oceanic & Earth Sciences, Center for Ocean-Land-Atmosphere Studies, George Mason University, Fairfax, VA, USA.

8. Met Office Hadley Centre, Exeter, UK.

9. Climate and Global Dynamics Laboratory, NSF National Center for Atmospheric Research, Boulder, CO, USA.

10. Cooperative Programs for the Advancement of Earth System Science, University Corporation for Atmospheric Research, Boulder, CO, USA.

11. NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA.

12. Earth and Environmental Sciences and Schiller Institute for Integrated Science and Society, Boston College, Boston, MA, USA.

Abstract

Here, we show that the Last Glacial Maximum (LGM) provides a stronger constraint on equilibrium climate sensitivity (ECS), the global warming from increasing greenhouse gases, after accounting for temperature patterns. Feedbacks governing ECS depend on spatial patterns of surface temperature (“pattern effects”); hence, using the LGM to constrain future warming requires quantifying how temperature patterns produce different feedbacks during LGM cooling versus modern-day warming. Combining data assimilation reconstructions with atmospheric models, we show that the climate is more sensitive to LGM forcing because ice sheets amplify extratropical cooling where feedbacks are destabilizing. Accounting for LGM pattern effects yields a median modern-day ECS of 2.4°C, 66% range 1.7° to 3.5°C (1.4° to 5.0°C, 5 to 95%), from LGM evidence alone. Combining the LGM with other lines of evidence, the best estimate becomes 2.9°C, 66% range 2.4° to 3.5°C (2.1° to 4.1°C, 5 to 95%), substantially narrowing uncertainty compared to recent assessments.

Publisher

American Association for the Advancement of Science (AAAS)

Reference102 articles.

1. An Assessment of Earth's Climate Sensitivity Using Multiple Lines of Evidence

2. P. Forster T. Storelvmo K. Armour W. Collins J.-L. Dufresne D. Frame D. J. Lunt T. Mauritsen M. D. Palmer M. Watanabe M. Wild H. Zhang 2021: The Earth’s energy budget climate feedbacks and climate sensitivity in Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change V. Masson-Delmotte P. Zhai A. Pirani S. L. Connors C. Péan S. Berger N. Caud Y. Chen L. Goldfarb M. I. Gomis M. Huang K. Leitzell E. Lonnoy J. B. R. Matthews T. K. Maycock T. Waterfield O. Yelekçi R. Yu B. Zhou Eds. (Cambridge Univ. Press 2021).

3. Glacial cooling and climate sensitivity revisited

4. CO2-induced change in a coupled ocean-atmosphere model and its paleoclimatic implications

5. Making sense of palaeoclimate sensitivity

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3