A new study has suggested that no evidence has been found to prove that computer-simulated climate models used by researchers to predict continued global warming are erroneous.

The researchers said that in many climate models the slowdown in global warming is not predicted because it is not easy to forecast random short-term changes in the climate, but the models have shown to predict long-term change quite accurately.

The new study was published last week in the Journal Nature. In the study, Jochem Marotzke of the Max Planck Institute of Meteorology in Germany and Piers M. Forster of the University of Leeds in the U.K, explain how these computer models predicted global warming perfectly.

"Most present-generation climate models simulate an increase in global-mean surface temperature (GMST) since 1998, whereas observations suggest a warming hiatus," researchers said in the study. "Here we analyse simulations and observations of GMST from 1900 to 2012, and show that the distribution of simulated 15-year trends shows no systematic bias against the observations."

For the study, the researchers analyzed how 114 simulations published in last year's assessment report of the U.N. Intergovernmental Panel on Climate Change (IPCC) performed against real temperatures in every 15-year period since 1900.

"The differences between simulated and observed trends are dominated by spontaneous climate variability," researchers said in a statement. "The claim that climate models systematically overestimate the warming caused by increasing greenhouse-gas concentrations therefore seems to be unfounded."