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Recent scientific findings, as presented in the Arctic Climate Impact Assessment (AdA), indicate that climate change in the Arctic is happening now, at a faster rate than elsewhere in the world, and with major implications for peoples of the Arctic (especially indigenous peoples) and the rest of the planet. This paper examines scientific and political representations of Arctic indigenous peoples that have been central to the production and articulation of these claims. ACIA employs novel forms and strategies of representation that reflect changing conceptual models and practices of global change science and depict indigenous peoples as expert, exotic, and at-risk. These portrayals emerge alongside the growing political activism of Arctic indigenous peoples who present themselves as representatives or embodiments of climate change itself as they advocate for climate change mitigation policies. These mutually constitutive forms of representation suggest that scientific ways of seeing the global environment shape and are shaped by the public image and voice of global citizens. Likewise, the authority, credibility, and visibility of Arctic indigenous activists derive, in part, from their status as at-risk experts, a status buttressed by new scientific frameworks and methods that recognize and rely on the local experiences and knowledges of indigenous peoples. Analyses of these relationships linking scientific and political representations of Arctic climate change build upon science and technology studies (STS) scholarship on visualization, challenge conventional notions of globalization, and raise questions about power and accountability in global climate change research. [ABSTRACT FROM AUTHOR]

This paper analyses the relationship between field experimentalists and simulation modellers in meteorological research on the one hand, and how this is related to climate change as a common arena of concern on the other. Climate has become the central topic in meteorological research and it is imperative to link specific research problems to climate change in order to receive funding and attract talent. In addition, climate models have become gatekeepers for claims about climate change. Hence, active participation in climate modelling processes is valuable for all parties. Observational data are used in order to develop new components — so-called parameterizations — for the climate models and these novel components therefore emerge as important boundary objects. While they serve different purposes for experimentalists and modellers in terms of translation processes, they also serve to connect these groups and reinforce their mutual dependence. [ABSTRACT FROM AUTHOR]