Indo-US Advanced Workshop and Colloquium on Modeling and Data Assimilation for Tropical Cyclone Predictions; Odisha, India; July 9-14, 2012

该奖项为研究生和早期职业科学家提供支持，以参加2012年7月9日至14日在印度奥里萨邦印度技术学院布巴内斯瓦尔举行的热带气旋（TC）预测数据同化和数值模拟研讨会。 该研讨会是通过印度-美国科学和技术论坛组织的，是美国和印度业务研究界之间正在进行的合作的一部分，该合作是通过印度地球科学部和美国国家海洋和大气管理局之间的谅解备忘录形成的。 该研讨会采用讲座形式，旨在教育美国-印度联合研究人员和业务TC预报员，其议程从基本观测和理论开始，并通过先进的建模概念，数据同化的原理和应用，预测技术以及社会影响和需求进行。 额外的实践活动允许通过案例研究进行积极的学习，案例研究可以成为参与者积极的研究课题，对讲习班的资助在三个方面产生更广泛的影响：第一，通过汇集一个国际研究人员和预报员小组，推动一个重要科学领域的国际合作;第二，通过促进学生和早期职业科学家的教育，培养该领域的下一代科学工作者;第三，鉴于大部分人口生活在面临飓风登陆风险的地区，帮助推进这一具有巨大社会意义的领域的科学状况。

This award provides support for graduate students and early-career scientists to attend a workshop on data assimilation and numerical modeling for tropical cyclone (TC) predictions, held at the Indian Institute of Technology Bhubaneshwar in Odisha, India, 9-14 July 2012. The workshop is organized through the Indo-US Science and Technology Forum and is part of an ongoing collaboration between the US and Indian operational research communities, formed through a Memorandum of Understanding between the Indian Ministry of Earth Sciences and the US National Oceanographic and Atmospheric Administration. The workshop has a lecture format, intended to educate a joint US-Indian workforce of researchers and operational TC forecasters, with an agenda that begins with fundamental observations and theory and proceeds through advanced modeling concepts, principles and applications of data assimilation, forecasting technologies, and societal impacts and needs. Additional hands-on activities permit active learning through case studies that can become active research topics for participants.Funding for the workshop has broader impacts in three ways: first, by bringing together an international group of researchers and forecasters to advance international cooperation in an important scientific area; second, by contributing to the education of students and early-career scientists to develop the next generation of the scientific workforce in this area; and third, by helping to advance the state of the science in an area that has tremendous societal relevance, given the large segment of the population living in areas that are at risk from landfalling hurricanes.