SGER: Exploring the Oceanography and Bathymetry of the Jakobshavn Ice Fjord using Autonomous Underwater and Airborne Expendable Technology

SGER：利用自主水下和机载消耗技术探索雅各布港冰湾的海洋学和水深测量

• 批准号: 0644156
• 负责人: David Holland
• 金额: $ 2.71万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-10-01 至 2007-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0644156&HistoricalAwards=false
• 关键词: SGER; Exploring; Oceanography; Bathymetry; Jakobshavn

Holland 0644156Funds are provided to explore the use of emerging oceanographictechnologies in harsh, ice-covered environments, where traditional oceanographic approaches are not applicable. For this project, the focus is on the Jakobshavn Ice Fjord because of both the rapid change it is undergoing and because of the logistical advantage of having a town located nearby. The PI proposes to explore the use of two emerging technologies that may provide a capability for performing long-term observations in key fjords of Greenland and analogous locations in Antarctica. First, he proposes to use an Autonomous Underwater Vehicle (AUV) equipped with CTD (for hydrography) and side-scan sonar (for bathymetry) to evaluate its usefulness in terms of accuracy and its ability to make measurements in demanding physical environments. Secondly, the appearance of airborne expendable CTD and current profilers offers the potential to gain basic hydrographic and bathymetric information by radio transmission between a helicopter and launched probes. Each of these technologies will be utilized in a week-long field exercise. There will be some data overlap for the purpose of cross-comparing the data quality and coverage of each technology.

荷兰0644156基金用于探索在恶劣的冰层覆盖环境中使用新兴的海洋学技术，传统的海洋学方法不适用。 对于这个项目，重点是雅各布港冰峡湾，因为它正在经历的快速变化，因为附近有一个城镇的后勤优势。 PI建议探索使用两种新兴技术，这两种技术可能提供在格陵兰岛的主要峡湾和南极洲类似地点进行长期观测的能力。 首先，他建议使用配备CTD（用于水文测量）和侧扫声纳（用于测深）的自主水下航行器（AUV），以评估其在准确性方面的有用性及其在苛刻的物理环境中进行测量的能力。 第二，机载一次性CTD和海流剖面仪的出现提供了通过直升机和发射的探测器之间的无线电传输获得基本水文和水深信息的可能性。 这些技术中的每一项都将在为期一周的实地演习中使用。 为了交叉比较每种技术的数据质量和覆盖范围，将有一些数据重叠。