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Seasonal Attribution Project
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{{Infobox Project | name =Seasonal Attribution Project | logo =[[Image:Seasonal_Attribution_Project_Logo.gif]] | screenshot =[[Image:Seasonal_Attribution.jpg|230px]] | caption =Seasonal Attribution Project 运行中的图形界面 | developer =英国牛津大学 | released = | operating system =Windows/Linux | platform =[[BOINC]] | program size = | work unit info = | status =运行中/开放注册 | genre =地球科学类 | optimization =无 | website =http://attribution.cpdn.org/ }} Recent extreme weather events have prompted the debate about effects of human activity on the world's climate. Now you can help us to determine the extent to which extreme weather events like the United Kingdom floods of Autumn 2000 are attributable to human-induced climate change. We invite you to download and run high-resolution model simulations of the world's climate on your own computer. By comparing the results of these simulations, half of which will include the effects of human-induced climate change, and half of which will not, we will investigate the possible impact of human activity on extreme weather risk. Thank you for your help, and please join the project! This project has been developed under the climateprediction.net project with support from WWF International. If you are already running one of climateprediction.net's experiments, or the BBC Climate Change Experiment, then PLEASE allow your current experiment to finish before starting your Seasonal Attribution experiment. This project has fairly high computing requirements, including 1GB RAM: if your computer does not meet these, we suggest you try one of the main climateprediction.net experiments. {{JoinBoincProject |Project=Seasonal Attribution Project |URL=http://attribution.cpdn.org/ }} [[Category:分布式计算项目]][[Category:地球科学类项目]][[Category:BOINC 平台上的项目]][[Category:Seasonal Attribution Project]][[Category:ClimatePrediction.Net]]
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