地球科学生态预测协会Earth Science Collaborative for Ecological Forecasting |
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课程网址: | http://videolectures.net/cidu2011_nemani_forecasting/ |
主讲教师: | Ramakrishna Nemani |
开课单位: | 美国宇航局 |
开课时间: | 2012-06-27 |
课程语种: | 英语 |
中文简介: | 科学界面临越来越大的压力,不仅要了解最近和预计的气候变化可能如何影响我们所依赖的全球环境和自然资源,还要设计减轻或应对可能影响的解决方案。应对这一多维挑战需要新的工具和研究框架,帮助科学家合作快速研究复杂的、跨学科的、具有关键社会重要性的科学问题。我将描述一个这样的合作研究框架,通过美国复苏和再投资法案资助,在国家航空航天局地球科学计划称为NASA地球交换(NEX)。NEX结合了最先进的超级计算、地球系统建模、来自NASA和其他机构的遥感数据,以及一个科学的社交网络平台,提供了一个完整的工作环境,用户可以在其中探索和分析大型地球科学数据集、运行建模代码、在新的或现有的项目上协作以及分享结果。在社区内部和/或社区之间。通过nex,我们希望降低进入数据/计算密集型科学的障碍,并为全球变化科学界的成员提供一种持续参与的机制。 |
课程简介: | There is increasing pressure on the science community not only to understand how recent and projected changes in climate are likely to impact our global environment and the natural resources on which we depend, but also to design solutions to mitigate or cope with the likely impacts. Responding to this multidimensional challenge requires new tools and research frameworks that assist scientists in collaborating to rapidly investigate complex, interdisciplinary science questions of critical societal importance. I will describe one such collaborative research framework, funded through the American Recovery and Reinvestment Act, within the National Aeronautics and Space Administration Earth sciences program called NASA Earth Exchange (NEX). NEX combines state-of-the-art supercomputing, Earth system modeling, remote sensing data from NASA and other agencies, and a scientific social networking platform to deliver a complete work environment in which users can explore and analyze large Earth science data sets, run modeling codes, collaborate on new or existing projects, and share results within and/or among communities. Through NEX we hope to lower the barrier of entry to data/compute-intensive science and provide a mechanism for continuous engagement among members of the global change science community. |
关 键 词: | 地球科学; 生态预测; 全球气候 |
课程来源: | 视频讲座网 |
最后编审: | 2020-09-17:chenxin |
阅读次数: | 41 |