Originally posted by BlasterBates
View Post
"Climate models, based on physical laws that describe the structure and dynamics of the atmosphere and ocean, as well as processes on the land, have been developed to simulate climate. Models help us understand climate sensitivity, because we can change processes in the model one-by-one and study their interactions But if models were our only tool, climate sensitivity would always have large uncertainty. Models are imperfect and we will never be sure that they include all important processes. Fortunately, Earth's history provides a remarkably rich record of how our planet responded to climate forcings in the past. This record yields, by far, our most accurate assessment of climate sensitivity and climate feedbacks."
It also makes the point that, in many cases, one does not even need to use complex models but can use simpler techniques to calculate the effects of climate change; e.g.:
- "No climate model is needed to calculate the forcing due to changed greenhouse gas amount. It requires only summing over the planet the change of heat radiation to space, which depends on known atmospheric and surface properties."
- "We will employ these forcings for simplified calculations of global temperature, demonstrating that a simple Green's function calculation, with negligible computation time, yields practically the same global temperature change as the complex climate model, provided that the global model's 'climate response function' has been defined."
- "Calculation of the climate forcings due to the GHG and ice sheet changes is a radiative calculation; it does not require use of a global climate model. Clouds may differ in the LGM, but those changes are part of the fast-feedback being evaluated. The forcing calculation uses a climatologic distribution of clouds (obtained from observations, but the calculated forcing differs insignificantly if clouds instead are taken from a general circulation model; Hansen et al., 1984)."
- "Below we argue that the real world response function is faster than that of modelE-R. We also suggest that most global climate models are similarly too sluggish in their response to a climate forcing and that this has important implications for anticipated climate change."
However it still says that climate change is happening, and it is happening primarily as a consequence of human activity. The major problem he has with models, it turns out, is that empirically observable climate change is happening at a faster rate than many models predict.
Comment