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The Detection and Attribution of Human Influence on Climate

This article describes the field of the detection and attribution of climate change and highlights recent progress, major issues, and future directions. The attribution of global temperature variations over the past century to a combination of anthropogenic and natural influences is now well established, with the anthropogenic factors dominating. Other aspects of the climate system, including regional quantities, are increasingly being found to also show a detectable signal of human influence. Of particular interest, though, is the attribution of changes in nonmeteorological quantities, such as hydrological and ecological measures, and of changes in the risk of extreme weather events to anthropogenic emissions. Methods are being developed for tackling these two problems but are still in the early stages. As the field gradually includes a service focus, the biggest challenges will become the integration of various approaches into an overall framework and the communication of the capabilities and limitations of that framework to the outside community.
- National Research Council Italy
- ETH Zurich Switzerland
- University of Cape Town South Africa
- Pohang University of Science and Technology Korea (Republic of)
- Pohang University of Science and Technology Korea (Republic of)
IMPACTS, CONSTRAINTS, WESTERN UNITED-STATES, 910, global warming, ANTHROPOGENIC FORCINGS, CONSISTENCY, climate change, TEMPERATURE-CHANGES, TEMPERATURE, PRECIPITATION TRENDS
IMPACTS, CONSTRAINTS, WESTERN UNITED-STATES, 910, global warming, ANTHROPOGENIC FORCINGS, CONSISTENCY, climate change, TEMPERATURE-CHANGES, TEMPERATURE, PRECIPITATION TRENDS
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).65 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
