Roy Spencer, a research scientist at the University of Alabama in Huntsville, thinks that data from a NASA satellite can disprove the theory of global warming.
Spencer says that his findings, published in the journal Remote Sensing earlier this week show that the “Earth is more efficient at releasing energy that models use to forecast climate change (like global warming) have led people to believe.”
In their research, Spencer and his colleague Dr. Danny Braswell compared six climate models to data from NASA’s Terra satellite and found that the models did not accurately predict what happens to the atmosphere in the time preceding or following a major climate event.
The satellite date shows that the climate loses the most energy in the three months before and after the “typical warming event reaches its peak.”
“The satellite observations suggest there is much more energy lost to space during and after warming than the climate models show. There’s a huge discrepancy between the data and the forecasts that is especially big over oceans,” Spencer said.
According to Spencer, the research may show over time that increased carbon dioxide concentrations in the atmosphere may not affect the climate as much as originally thought.
Furthermore, many other factors such as cloud movement, sun radiation and heat from the oceans make it difficult to single out human-made greenhouse gases as a cause of climate change and global warming.
“There are simply too many variable to reliably gauge the right number for that,” Spencer said.
“The main finding from this research is that there is no solution to the problem of measuring atmospheric feedback, due mostly to our inability to distinguish between radiative forcing and radiative feedback in our observations.”