If you use data during a warming period to populate your models you will get out of
bounds warming forecasts.
Not exact matches
If they invoke just the idea that temperature data is consistent with the lower
bound of «more than half» the
warming is human - caused, this «half» is only half the
warming the models are
forecasting.
Now, it doesn't matter how you select / constrain over the hindcast interval, the range of
forecast warming still has no supremum because even if B is
bounded, d is unbounded due to being a gaussian.
NEW YORK (Reuters)- Global emissions of the main greenhouse gas carbon dioxide will jump more than 39 percent by 2030 without new policies and
binding pacts to cut global
warming pollution, the top U.S. energy
forecast agency said on Wednesday.