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Comparing Climate Sensitivity, Past and Present

  • Eelco J Rohling
  • , Gianluca Marino
  • , Gavin L Foster
  • , Philip A Goodwin
  • , A.S. von der Heydt
  • , Peter Köhler
  • Alfred Wegener Institute - Helmholtz Centre for Polar and Marine Research
  • Australian National University
  • University of Southampton

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Climate sensitivity represents the global mean temperature change caused by changes in the radiative balance of climate; it is studied for both present/future (actuo) and past (paleo) climate variations, with the former based on instrumental records and/or various types of model simulations.
Paleo-estimates are often considered informative for assessments of actuo-climate change caused by anthropogenic greenhouse forcing, but this utility remains debated because of concerns about the impacts of uncertainties, assumptions, and incomplete knowledge about controlling
mechanisms in the dynamic climate system, with its multiple interacting feedbacks and their potential dependence on the climate background state. This is exacerbated by the need to assess actuo- and paleoclimate sensitivity over different timescales, with different drivers, and with different (data and/or model) limitations. Here, we visualize these impacts with idealized
representations that graphically illustrate the nature of time-dependent actuo- and paleoclimate sensitivity estimates, evaluating the strengths, weaknesses, agreements, and differences of the two approaches. We also highlight priorities for future research to improve the use of paleo-estimates
in evaluations of current climate change.
Original languageEnglish
Pages (from-to)261-288
Number of pages28
JournalAnnual Review of Marine Science
Volume10
DOIs
Publication statusPublished - Jan 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • climate sensitivity
  • present climate
  • paleoclimate
  • idealized scenarios
  • feedbacks

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