A new study says there’s a lot of disagreement over which model to use when it comes to climate change.
The new paper, from a team of climate scientists at the University of Wisconsin, argues that a number of models are better at predicting the potential for warming.
The new study, titled “The relationship between the climate models and the sensitivity to greenhouse gas emission, Part 2: What we know,” says that in addition to a range of factors, there’s also uncertainty over how the models are used to predict the future.
For example, the study says, the models don’t fully capture the sensitivity of the atmosphere to warming.
This means the models can’t simulate how warming will change the Earth’s surface, or the climate as a whole.
And there’s some disagreement over how to predict which models are more accurate at predicting how much warming will occur.
The models are often used to test the predictions of other models, which is what scientists are trying to do with the new paper.
In general, the researchers found, most climate models are good at predicting future warming and they are generally more accurate than other models when it came to the future temperature change.
This makes sense, they say, because these models predict a much higher amount of warming than other climate models do.
But there’s more uncertainty when it is asked whether the models accurately predict how much heat will be lost to the atmosphere over the next 100 years, the period between now and 2100, the time when most of the world’s CO2 emissions will be removed.
The team also says that there’s still some uncertainty over the sensitivity.
They suggest that there could be a lot more warming occurring in the future than what climate models predicted in the past, as more and more CO2 is released.
The researchers say their research should help improve the understanding of the climate system and help inform future climate policies.