Previously, climate scientists have used a technique called "optimal fingerprinting" to pinpoint the causes of global warming. This involves using complex models to simulate the climate response to different "forcings". These include greenhouse gases, aerosols and ozone, as well as natural factors such as solar and volcanic variability. The relative contribution of each forcing is then assessed by a statistical comparison of the model outputs to the real-life warming pattern.











































