Publication Abstracts

Marvel et al. 2018

Marvel, K.D., R. Pincus, G.A. Schmidt, and R.L. Miller, 2018: Internal variability and disequilibrium confound estimates of climate sensitivity from observations. Geophys. Res. Lett., 45, no. 3, 1595-1601, doi:10.1002/2017GL076468.

An emerging literature suggests that estimates of equilibrium climate sensitivity (ECS) derived from recent observations and energy balance models are biased low because models project more positive climate feedbacks in the far future. Here, we use simulations from the Coupled Model Intercomparison Project Phase 5 (CMIP5) to show that across models, ECS inferred from the recent historical period (1979-2005) is indeed almost uniformly lower than that inferred from simulations subject to abrupt increases in CO2 radiative forcing. However, ECS inferred from simulations in which sea surface temperatures are prescribed according to observations is lower still. ECS inferred from simulations with prescribed sea surface temperatures is strongly linked to changes to tropical marine low clouds. However, feedbacks from these clouds are a weak constraint on long-term model ECS. One interpretation is that observations of recent climate changes constitute a poor direct proxy for long term sensitivity.

Export citation: [ BibTeX ] [ RIS ]

BibTeX Citation

@article{ma06310g,
  author={Marvel, K. D. and Pincus, R. and Schmidt, G. A. and Miller, R. L.},
  title={Internal variability and disequilibrium confound estimates of climate sensitivity from observations},
  year={2018},
  journal={Geophysical Research Letters},
  volume={45},
  number={3},
  pages={1595--1601},
  doi={10.1002/2017GL076468},
}

[ Close ]

RIS Citation

TY  - JOUR
ID  - ma06310g
AU  - Marvel, K. D.
AU  - Pincus, R.
AU  - Schmidt, G. A.
AU  - Miller, R. L.
PY  - 2018
TI  - Internal variability and disequilibrium confound estimates of climate sensitivity from observations
JA  - Geophys. Res. Lett.
JO  - Geophysical Research Letters
VL  - 45
IS  - 3
SP  - 1595
EP  - 1601
DO  - 10.1002/2017GL076468
ER  -

[ Close ]

• Return to 2018 Publications

• Return to Publications Homepage