Seasonal Attribution Project

来自中国分布式计算总站
Ledled讨论 | 贡献2009年10月13日 (二) 13:13的版本
跳转至: 导航搜索

Seasonal Attribution Project

230px
Seasonal Attribution Project logo
230px
Seasonal Attribution Project 运行中的图形界面
开发者 英国牛津大学
版本历史
运算平台 Windows/Linux
项目平台 BOINC
程序情况
任务情况
项目状态 运行中/开放注册
项目类别 地球科学类
优化程序
计算特点 CPU密集:

支持0分享率

支持GPU计算

官方网址 Seasonal Attribution Project
{{{rss}}} [{{{rss}}} 通过 RSS 获取项目新闻]


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.


如何加入项目

该项目基于 BOINC 平台,简要的加入步骤如下(已完成的步骤可直接跳过):

  1. 下载并安装 BOINC 的客户端软件(官方下载页面程序下载
  2. 点击客户端简易视图下的“Add Project”按钮,或高级视图下菜单中的“工具->加入项目”,将显示向导对话框
  3. 点击下一步后在项目列表中找到并单击选中 Seasonal Attribution Project 项目(如未显示该项目,则在编辑框中输入项目网址:http://attribution.cpdn.org/ ),然后点击下一步
  4. 输入您可用的电子邮件地址,并设置您在该项目的登录密码(并非您的电子邮件密码)
  5. 再次点击下一步,如项目服务器工作正常(并且有适合自身操作系统的计算程序),即已成功加入项目

更详细的加入方法说明,请访问 BOINC 新手指南BOINC 使用教程

本站推荐您加入 Team China 团队,请访问项目官方网站的 团队检索页面,搜索(Search)并进入 Team China 的团队页面,点击页面中的 Join 并输入用户登录信息即可加入!