Physical trajectory profile data from glider unit_167 deployed by University of Alaska - Fairbanks and University of Alaska - Fairbanks; College of Fisheries and Ocean Sciences in the Chukchi Sea from 2013-09-11 to 2013-09-19 (NCEI Accession 0209096)

Shipboard observations of marine mammal distribution and habitat are expensive and logistically challenging to collect in Arctic waters. Port facilities are minimal and access to appropriate vessels for spending extended periods of time at sea is extremely limited. Autonomous platforms like gliders provide the capability to collect both oceanographic and passive acoustic data for far longer periods of time (weeks to months) and at significantly reduced costs than traditional shipboard or aerial surveys. We have developed a system to record, detect, classify, and remotely report Arctic and sub-Arctic marine mammal calls in real time from Slocum ocean gliders based on the digital acoustic monitoring (DMON) instrument and the low-frequency detection and classification system (LFDCS). The system was successfully demonstrated for Arctic research during three AOOS-funded studies in the Chukchi Sea during September 2013 and 2014 and from 11 July – 8 September 2015. The joint acoustic-oceanographic data were used to examine the distribution, occurrence, and habitat of marine mammals using in-situ passive acoustic and oceanographic data collected by the glider, and to demonstrate the near real-time detection and reporting capability of the system.

The National Centers for Environmental Information (NCEI) received the data in this archival package from the Integrated Ocean Observing System's National Glider Data Assembly Center (IOOS NGDAC). The IOOS NGDAC received the data in one or more netCDF files comprising an entire glider deployment. The data are measurements of physical oceanographic properties such as temperature, salinity, conductivity, and density. The IOOS NGDAC checked the files for compliance to their netCDF file convention, aggregated the files into a single netCDF file, and then submitted the file to NCEI for long-term preservation.

在北极水域开展海洋哺乳动物分布与栖息地的船基观测，不仅成本高昂，且后勤保障难度极大。北极地区港口设施匮乏，可用于长期海上作业的合适船舶资源也极度有限。自主平台（如海洋滑翔机）能够以远低于传统船基或航空调查的成本，在更长周期（数周至数月）内同时获取海洋学与被动声学数据。我们基于数字声学监测（digital acoustic monitoring, DMON）仪器与低频检测分类系统（low-frequency detection and classification system, LFDCS），研发了一套可在斯洛克姆（Slocum）海洋滑翔机上实时记录、检测、分类并远程报告北极及亚北极海域海洋哺乳动物鸣叫声的系统。该系统于2013年9月、2014年9月以及2015年7月11日至9月8日期间，在楚科奇海开展的三项由北极海洋观测系统（Arctic Ocean Observing System, AOOS）资助的研究中，成功完成北极科研演示。联合声学-海洋学数据被用于分析滑翔机采集的原位被动声学与海洋学数据，以解析海洋哺乳动物的分布、出现情况与栖息地，并验证了该系统的近实时检测与报告能力。美国国家环境信息中心（National Centers for Environmental Information, NCEI）从综合海洋观测系统国家滑翔机数据汇编中心（Integrated Ocean Observing System's National Glider Data Assembly Center, IOOS NGDAC）获取了本归档数据包中的数据。IOOS NGDAC会接收单次滑翔机部署的全部数据，这些数据以一个或多个netCDF文件形式存储。这些数据为物理海洋学参数的测量值，涵盖温度、盐度、电导率与密度。IOOS NGDAC会对文件是否符合其netCDF文件规范进行校验，将多个文件聚合为单个netCDF文件后，提交至NCEI进行长期保存。