Authors: Philip B Holden N R Edwards K I C Oliver T M Lenton R D Wilkinson
Publish Date: 2009/07/26
Volume: 35, Issue: 5, Pages: 785-806
Abstract
In order to investigate Last Glacial Maximum and future climate we “precalibrate” the intermediate complexity model GENIE1 by applying a rejection sampling approach to deterministic emulations of the model We develop ~1000 parameter sets which reproduce the main features of modern climate but not precise observations This allows a wide range of largescale feedback response strengths which generally encompass the range of GCM behaviour We build a deterministic emulator of climate sensitivity and quantify the contributions of atmospheric ±093°C 1σ vegetation ±032°C ocean ±024°C and sea–ice ±014°C parameterisations to the total uncertainty We then perform an LGMconstrained Bayesian calibration incorporating datadriven priors and formally accounting for structural error We estimate climate sensitivity as likely 66 confidence to lie in the range 26–44°C with a peak probability at 36°C We estimate LGM cooling likely to lie in the range 53–75°C with a peak probability at 62°C In addition to estimates of global temperature change we apply our ensembles to derive LGM and 2xCO2 probability distributions for land carbon storage Atlantic overturning and sea–ice coverage Notably under 2xCO2 we calculate a probability of 37 that equilibrium terrestrial carbon storage is reduced from modern values so the land sink has become a net source of atmospheric CO2This work was funded by the UK Natural Environment Research Council QUESTDESIRE Quaternary QUEST and RAPID UK THC MIP the UK Engineering and Physical Sciences Research Council Managing Uncertainty in Complex Models project MUCM and the Leverhulme Trust We are grateful for the thorough reviews of both referees which have greatly helped to strengthen the paper and to Jonathan Rougier for several very useful discussions
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