There's a saying that "It's not the heat, it's the humidity." Humidity determines how we perceive temperature. Graph rendered with Gnumeric). |
"There is a striking relationship between how well climate models simulate relative humidity in key areas and how much warming they show in response to increasing carbon dioxide... Given how fundamental these processes are to clouds and the overall global climate, our findings indicate that warming is likely to be on the high side of current projections."[3]One complaint about climate models is that there are quite a few. Although they all agree that the Earth will warm because of increased levels of carbon dioxide in the atmosphere, they don't give the same temperature rise.[1] The differences in these models relate to second-order effects; namely, how much a temperature rise will affect parameters in the models. One of these, cloud feedback, is important, since warming will affect cloud cover.[1] Climate models are usually compared by their prediction of global warming when the atmospheric carbon dioxide levels are twice the preindustrial level of about 280 ppm. This benchmark is known as the equilibrium climate sensitivity.[3] Today's CO2 level is around 390 ppm, and at current emission levels, this doubling will be reached before the year 2100.[3] Most models have predicted a temperature rise of about 3 °C (5 °F), but some models predict as high as 8 °C, or as low as 3 °C.[3] Adding cloud data to models is difficult, since it's difficult to acquire cloud cover data using satellite imaging.[3] Satellites, however, are better at measuring atmospheric water vapor, so accurate measurements of relative humidity can be done. As a surrogate to actual cloud data, the recent NCAR study used satellite observations of relative humidity in subtropical regions. The NCAR scientists used data from instruments on two NASA satellites, the Atmospheric Infrared Sounder (AIRS), and the Clouds and the Earth's Radiant Energy System (CERES).[3] The study found that, for the tropics and subtropics, seasonal variations in relative humidity correlate with increased albedo caused by clouds.[2] In this case, the seasonal variation in temperature mimics the affects of global warming. The result of the study, as shown in the figure, is that models that don't incorporate such cloud effects give too low an estimate for global warming.[2-3]
Temperature rise for a doubling of atmospheric carbon dioxide from pre-industrial levels, as predicted by sixteen climate models, as a function of their relative humidity predictions. The models that are closest to observed humidity values predict a greater global warming. (Illustration rendered by the author using Inkscape, from data in ref. 2.)[2-3] |