Travel Support for Young Scientists to Attend the 7th International GEOS-Chem Meeting (IGC7) held at Harvard University; Cambridge, MA; May 4-7, 2015

资助年轻科学家参加在哈佛大学举行的第七届国际 GEOS-Chem 会议（IGC7）；

• 批准号: 1459489
• 负责人: Daniel Jacob
• 金额: $ 2万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-01-15 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1459489&HistoricalAwards=false
• 关键词: Travel; Support; Young; Scientists; Attend

Atmospheric science researchers from US and international universities, government laboratories, and private research institutes, will meet at the 7th International GEOS-Chem Meeting (IGC7), May 2015, Cambridge MA. NSF conference support is focused on promoting the attendance of U.S. participants including postdoctoral scholars, graduate students, and early career scientists. Other federal agencies and private companies are providing additional support.GEOS-Chem is an open-source global 3-D model of atmospheric composition used actively by 65 research groups around the world, including 38 in the US of which 30 are at US universities. GEOS-Chem meetings are held at Harvard every two years and are open to the global atmospheric chemistry modeling community, with about 200 attendees across a very broad range of topics. Oral presentations by young scientists are prioritized, providing for many young scientists a first opportunity to present their work in front of an international audience. Topics include modeling of atmospheric composition with links to climate dynamics, biogeochemistry, and air quality. High-performance computing and model development will also be major themes.

来自美国和国际大学、政府实验室和私人研究机构的大气科学研究人员将在2015年5月于马萨诸塞州剑桥举行的第七届国际地球观测系统-化学会议(IGC7)上会面。NSF会议支持的重点是促进包括博士后学者、研究生和早期职业科学家在内的美国与会者的出席。其他联邦机构和私营公司正在提供额外的支持。GEOS-Chem是一个开源的全球3-D大气组成模型，全球65个研究小组积极使用，其中包括美国的38个，其中30个在美国的大学。GEOS-Chem会议每两年在哈佛举行一次，对全球大气化学模型界开放，约有200名与会者，涉及非常广泛的主题。青年科学家的口头报告是优先事项，为许多青年科学家提供了在国际观众面前展示他们的工作的第一个机会。主题包括与气候动力学、生物地球化学和空气质量相联系的大气组成的建模。高性能计算和模型开发也将是主要主题。