Changes in large-scale climate variables  have been reliably attributed to anthropogenic and natural forcings . The most established method is to identify the 'fingerprint' of the expected space-time response to a particular climate forcing agent such as the concentration of anthropogenically induced GHGs or aerosols, or natural variation of solar radiation. This technique disentangles the contribution of individual forcing agents to an observed change . New statistical approaches have been applied to better account for internal climate variability and the uncertainties in models and observations . There are many other approaches, for example, global mean sea level change has been attributed to anthropogenic climate forcing by attributing the individual contributions from, for example, glacier melt or thermal expansion, while also examining which aspects of the observed change are inconsistent with internal variability .
IPCC
Climate Change 2022: Impacts, Adaptation and Vulnerability
IPCC Report