Collaborative Research: Atmosphere-Ocean-Ice Interaction in a Coastal Polynya

合作研究：沿海冰湖中的大气-海洋-冰相互作用

• 批准号: 0739519
• 负责人: Christopher Zappa
• 金额: $ 47.45万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-15 至 2012-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0739519&HistoricalAwards=false
• 关键词: Collaborative; Research; Atmosphere; Ocean; Ice

Abstract Antarctic polynyas are the ice free zones often persisting in continental sea ice. Characterization of the lower atmosphere properties, air-sea surface heat fluxes and corresponding ocean depth profiles of Antarctic polynyas, especially during strong wind events, is needed for a more detailed understanding of the role of polynya in the production of latent-heat type sea ice and the formation, through brine rejection, of dense ocean bottom waters. Broader impacts: A key technological innovation, the use of instrumented uninhabited aircraft systems (UAS), will be employed to enable the persistent and safe observation of the interaction of light and strong katabatic wind fields with the Terra Nova Bay (Victoria Land, Antarctica) polynya waters during late winter and early summer time frames. The use of UAS observational platforms on the continent to date has to date been modest, but demonstration of their versatility and effectiveness in surveying and observing mode is a welcome development. The projects use of UAS platforms by University of Colorado and LDEO (Columbia) researchers is both high risk, and potentially transformative for the systematic data measurement tasks that many Antarctic science applications increasingly require.

抽象的南极波利尼亚是无冰区，通常在大陆海冰中持续存在。需要更详细地了解Polynya在产生潜在热热海冰中的作用，并通过盐水拒绝，浓密的海洋底部的底层抑制，对Polynya在产生潜在热热海冰中的作用以及对Polynya在产生潜在的海冰中的作用，需要更详细地了解Polynya在强风中的作用。更广泛的影响：将采用一项关键的技术创新，使用仪器的无人驾驶飞机系统（UAS），以实现在冬季和夏季夏季夏季和夏季初期的Frames Fimeames Fimeames flame vicle time flame flame flame flame flame flame fiepement flame polynea waters的持续且安全的观察。迄今为止，在迄今为止，在非洲大陆上使用UAS观察平台是适度的，但是证明其在测量和观察模式中的多功能性和有效性是一个受欢迎的发展。科罗拉多大学和LDEO（哥伦比亚）研究人员对UAS平台的使用既是高风险，又是许多南极科学应用程序越来越需要的系统数据测量任务的可能性。