Using multiple observationally‐based constraints to estimate climate sensitivity

By J. Annan, J. Hargreaves. 2006

158 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b9809379fc2565d4712344ffe0383732e3374b06

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In Global and Planetary Change

Citations in the corpus

Dangerous human-made interference with climate: a GISS modelE study (2006, background): “The model’s climate sensitivity of 2.7–2.9 ◦ C for doubled CO 2 is well within the empirical range of 3 ± 1 ◦ C for doubled CO 2 that has been inferred from paleoclimate and other observational evidence (Hansen et al., 1984, 1993; Hoffert and Covey, 1992; Annan and Hargreaves, 2006).”
Earth system sensitivity inferred from Pliocene modelling and data (2010, background): “Equation (4) gives the global mean temperature change expected for a stabilized future climate at 400 ppmv (about half the radiative forcing of a CO2 doubling from pre-industrial), with equilibrated ice sheets and vegetation.”
Time-Varying Climate Sensitivity from Regional Feedbacks (2012, background): “…approaches that combine multiple observations of climate change from different periods to derive narrower bounds on climate sensitivity (e.g., Annan and Hargreaves 2006) are predicated on the assumption that each estimate is providing information about the same global climate feedback: thus…”
On the generation and interpretation of probabilistic estimates of climate sensitivity (2011, methodology): “Some analyses of combined data sets have already illustrated the increase in confidence that can arise from such joint analysis (Annan and Hargreaves 2006; Hegerl et al. 2006).”
Comment on ''Heat capacity, time constant, and sensitivity of Earth's climate system'' by S. E. Schwartz (2008, background): “The belief that climate sensitivity is likely to lie in the range 2 – 4.5 C and very unlikely less than 1.5 C [Intergovernmental Panel on Climate Change, 2007] is supported by numerous diverse analyses of the climate system [e.g., Annan and Hargreaves, 2006; Hegerl et al., Figure 2.”
Heat capacity, time constant, and sensitivity of Earth's climate system (2007, background): “For a recent review of approaches to determine climate sensitivity and examination of constraints on the magnitude of this sensitivity see Annan and Hargreaves [2006]. Here an initial attempt is made to determine climate sensitivity through energy balance considerations that are based on the time de”
Reconstructing surface temperature changes over the past 600 years using climate model simulations with data assimilation (2010, methodology): “That having been said, these conclusions are valid only for the relatively narrow range of parameter choices and forcing estimates considered here, which is somewhat modest in comparison with that adopted in some other studies [e.g., Annan and Hargreaves , 2006; Hegerl et al. , 2006].”
Attribution of the present-day total greenhouse effect (2010, background): “Nonetheless, climate sensitivity can only be properly assessed from examining changes in climate, not from the mean climatology alone [Annan and Hargreaves, 2006].”
How reliable are climate models? (2007, background): “Nevertheless, the authors of two recent studies (Annan and Hargreaves, 2006; Hegerl et al., 2006) argue that very high values of ECS are much more unlikely than suggested by some of the individual estimates.”
What caused Earths temperature variations during the last 800,000 years? Data-based evidences on radiative forcing and constraints on climate sensitivity (2009, methodology): “While such calculations have been performed before (Genthon et al., 1987; Lorius et al., 1990; Hoffert and Covey, 1992; Hansen et al., 1993, 2008; Covey et al., 1996; Annan and Hargreaves, 2006; Edwards et al., 2007; Chylek and Lohmann, 2008a; Ganopolski and Schneider von Deimling, 2008; Hansen et a”
The equilibrium sensitivity of the Earth's temperature to radiation changes (2008, methodology): “Another option that makes use of this Bayesian framework is to combine some of the individually derived distributions to yield a better constrain”