TY - JOUR
T1 - Climate Sensitivity Estimated from Temperature Reconstructions of the Last Glacial Maximum
AU - Schmittner, Andreas
AU - Urban, Nathan M.
AU - Shakun, Jeremy D.
AU - Mahowald, Natalie M.
AU - Clark, Peter U
AU - Bartlein, Patrick J.
AU - Mix, Alan C.
AU - Rosell-Mele, Antoni
PY - 2011/12
Y1 - 2011/12
N2 - Assessing the impact of future anthropogenic carbon emissions is currently impeded by uncertainties in our knowledge of equilibrium climate sensitivity to atmospheric carbon dioxide doubling. Previous studies suggest 3 kelvin (K) as the best estimate, 2 to 4.5 K as the 66% probability range, and nonzero probabilities for much higher values, the latter implying a small chance of high-impact climate changes that would be difficult to avoid. Here, combining extensive sea and land surface temperature reconstructions from the Last Glacial Maximum with climate model simulations, we estimate a lower median (2.3 K) and reduced uncertainty (1.7 to 2.6 K as the 66% probability range, which can be widened using alternate assumptions or data subsets). Assuming that paleoclimatic constraints apply to the future, as predicted by our model, these results imply a lower probability of imminent extreme climatic change than previously thought.
AB - Assessing the impact of future anthropogenic carbon emissions is currently impeded by uncertainties in our knowledge of equilibrium climate sensitivity to atmospheric carbon dioxide doubling. Previous studies suggest 3 kelvin (K) as the best estimate, 2 to 4.5 K as the 66% probability range, and nonzero probabilities for much higher values, the latter implying a small chance of high-impact climate changes that would be difficult to avoid. Here, combining extensive sea and land surface temperature reconstructions from the Last Glacial Maximum with climate model simulations, we estimate a lower median (2.3 K) and reduced uncertainty (1.7 to 2.6 K as the 66% probability range, which can be widened using alternate assumptions or data subsets). Assuming that paleoclimatic constraints apply to the future, as predicted by our model, these results imply a lower probability of imminent extreme climatic change than previously thought.
U2 - 10.1126/science.1203513
DO - 10.1126/science.1203513
M3 - Article
VL - 334
SP - 1385
EP - 1388
JO - Science
JF - Science
IS - 6061
ER -