Science has recently faced a new challenge in that it must now provide itsbest knowledge to support the urgent policy-making concerning, e.g., risks oftechnology, environmental pollution, or the climate change. However, thisknowledge unfortunately often can host high uncertainties as the naturalsystems are complex. How to proceed when the facts given by the scientists arediverging and uncertain, while the decision-making is urgent? Funtowicz andRavetz (1992, 1993) argue that in this case traditional `Normal' science(described by Kuhn (1970)) becomes inappropriate and that science shouldbecome `Post-Normal' in order to more effectively cope with these contemporaryproblems. The philosophy, or methodology, of Post-Normal Science is brieflyintroduced and its corelation with the climate change issue, specifically withthe compilation process and summary content of the Second Assessment Report(SAR) from the Working Group I of the Intergovernmental Panel on ClimateChange (IPCC, 1996a), is viewed. It seems that climate science around IPPCcan, to a relatively large extent, be characterized as `Post-Normal'.Moreover, results from some related studies indicate that the elements ofPost-Normal Science in the IPCC have enhanced the problem-solving in theclimate change issue.