The effects of human influence on the environment via the discharge of greenhouse gases are controversial subjects in the general understanding of climate change. A new research review from researchers at the University of Edinburgh and University of Victoria examines the role of climate models to determine the changes and the veracity of the claims.
Studies conducted from mid 1990s have attributed the increase in greenhouse gas as the reason for climate change, both at regional and global levels. However, scientists are yet to establish the role of human impact on climate change. In this paper, the authors analyzed a range of research methods to understand the causes for the climate change. They tried a number of methods that utilized models such as fingerprint study and large-level detection and attribution studies.
According to them, detection and attribution methods are mostly utilized to make substantial level of assumptions on the anticipated level of climate change. They clarified that climate models are utilized to understand the observation as well as to conclude the anticipated fingerprint of climate change.
The researchers also probed how other scientists have tried to locate both externally forced and manmade climate change from the point of observations. They observed that methods, which do not utilize climate models, shun hypothesis about the anticipated response. However, these methods have used other strong theories, which claim that climate change and inconsistency can be segregated by timescale.
The researchers concluded that climate models are important in understanding the causes for climate change and the causes of current climate change are based only on assumptions. They suggested that a model is needed for detection and attribution to understand and draw a conclusion about the climate change.