Detection and Attribution of Climate Change: from Global to Regional is a report that assesses the causes of observed climate changes and attributes them to human or natural factors. The report, authored by a team of scientists including Nathaniel L. Bindoff, Peter A. Stott, Krishna Mirle Achutarao, Myles R. R Allen, Nathan Gillett, and others, is part of the Climate Change 2013: the Physical Science Basis report. It provides a comprehensive analysis of climate change detection and attribution, focusing on both global and regional scales. The report discusses the detection of climate change through various methods, including time series analysis, general circulation models, and optimal fingerprinting. It evaluates the role of anthropogenic greenhouse gas (GHG) emissions in global warming, noting that more than half of the observed increase in global mean surface temperature (GMST) from 1951 to 2010 is very likely due to anthropogenic GHG concentrations. The report also examines the impact of natural forcings such as solar activity and internal climate variability, concluding that these factors have a smaller influence compared to anthropogenic factors. The report highlights the significant contribution of anthropogenic forcings to changes in ocean temperatures, sea level rise, ocean acidification, and the water cycle. It also discusses the effects of climate change on the cryosphere, including the loss of Arctic sea ice and the melting of ice sheets and glaciers. The report provides evidence that human influence has contributed to changes in temperature extremes, precipitation patterns, and the frequency and intensity of extreme weather events. The report also addresses the role of climate models in understanding and predicting climate change, emphasizing the importance of model simulations in attributing observed climate changes to specific factors. It discusses the limitations of current models and the need for further research to improve their accuracy. The report concludes that human influence is virtually certain to have warmed the global climate system, with anthropogenic factors playing a dominant role in observed climate changes. The report provides a detailed analysis of the physical processes underlying climate change and the uncertainties associated with climate projections.Detection and Attribution of Climate Change: from Global to Regional is a report that assesses the causes of observed climate changes and attributes them to human or natural factors. The report, authored by a team of scientists including Nathaniel L. Bindoff, Peter A. Stott, Krishna Mirle Achutarao, Myles R. R Allen, Nathan Gillett, and others, is part of the Climate Change 2013: the Physical Science Basis report. It provides a comprehensive analysis of climate change detection and attribution, focusing on both global and regional scales. The report discusses the detection of climate change through various methods, including time series analysis, general circulation models, and optimal fingerprinting. It evaluates the role of anthropogenic greenhouse gas (GHG) emissions in global warming, noting that more than half of the observed increase in global mean surface temperature (GMST) from 1951 to 2010 is very likely due to anthropogenic GHG concentrations. The report also examines the impact of natural forcings such as solar activity and internal climate variability, concluding that these factors have a smaller influence compared to anthropogenic factors. The report highlights the significant contribution of anthropogenic forcings to changes in ocean temperatures, sea level rise, ocean acidification, and the water cycle. It also discusses the effects of climate change on the cryosphere, including the loss of Arctic sea ice and the melting of ice sheets and glaciers. The report provides evidence that human influence has contributed to changes in temperature extremes, precipitation patterns, and the frequency and intensity of extreme weather events. The report also addresses the role of climate models in understanding and predicting climate change, emphasizing the importance of model simulations in attributing observed climate changes to specific factors. It discusses the limitations of current models and the need for further research to improve their accuracy. The report concludes that human influence is virtually certain to have warmed the global climate system, with anthropogenic factors playing a dominant role in observed climate changes. The report provides a detailed analysis of the physical processes underlying climate change and the uncertainties associated with climate projections.