climate parameters over future decades. Uncertainty about climate change includes both overall climate sensitivity and the … finite time horizon stochastic problem. The uncertainty in climate sensitivity may narrow in the future as the behavior of … assessment model, adding in current estimates of climate sensitivity uncertainty and tipping point risk with an endogenous …

Bayesian updated version—based on a combination of uncertainty ranges for climate sensitivity reported in the scientific … risk premium may depend crucially on how the posterior distribution describing the overall climate sensitivity uncertainty …

sensitivity from 1995. Climate sensitivity is a key parameter to assess the severity of the global warming issue. Comparing our … of experts holding a view is not essential.This is illustrated with a 16 experts real-world dataset on climate …

theoretical studies emphasize the risks of “climate catastrophes,” which depend on climate sensitivity and on marginal damages at …): marginal damages at low temperature anomalies, marginal damages at high temperature anomalies, and equilibrium climate … sensitivity. Most empirical studies of climate damages have examined temperature anomalies up to 3°C, while some recent …