Besides all climate models being purposefully designed to focus on human CO2 emissions as the cause of global warming, none of the climate models are able to simulate cloud impact and cloud coverage correctly (or even with a modicum of accuracy). Clouds are beyond even the most powerful computers and virtual simulations, which means the climate models will always produce incorrect results moving forward. As a prominent scientist from the U.S. National Center for Atmospheric Research recently stated:
"The scientific community is uncertain about how the effects of clouds will change in the future."
Despite this significant model shortcoming affecting all climate models, more empirical evidence is being accumulated by both satellites and climate experts that indicate clouds have a much greater impact on temperatures than CO2 levels in the atmosphere than previously understood. As the graph below indicates, global temperatures appear to be driven by sunlight reaching the earth's surface, as regulated by cloud coverage, not by CO2 increases.
Climate experts are now concluding that research must focus on clouds, with many scientists considering the possibility that a 1% or less change in cloud coverage could explain most of the past changes in global temperatures. (click on image to enlarge)
This graph is a derivative of satellite data as presented by Dr. Roy Spencer. The case for substantial cloud impact on temperature and climate, both in the short and long terms, is growing as Dr. Spencer continues his research of data being gathered by NOAA satellites.
Note: The scaled red NCDC monthly global temperature anomaly curve and the monthly cumulative CO2 increase are superimposed on the satellite reflected sunlight chart. The original satellite chart was flipped vertically so that the maximum sunlight striking the surface measurement would be at the top.