IOOS Glider - unit_595-20170713T1730-delayed

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, 11 July – 8 September 2015, 10 July - 4 october 2016, and from 13 July - 23 August 2017. 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.cdm_data_type = TrajectoryProfileVARIABLES:trajectory (Trajectory Name)wmo_idtime (Profile Time, seconds since 1970-01-01T00:00:00Z)latitude (Profile Latitude, degrees_north)longitude (Profile Longitude, degrees_east)profile_idtime_uv (Depth-averaged Time, seconds since 1970-01-01T00:00:00Z)lat_uv (Depth-averaged Latitude, degrees_north)lon_uv (Depth-averaged Longitude, degrees_east)u (Depth-averaged Eastward Sea Water Velocity, m.s-1)v (Depth-averaged Northward Sea Water Velocity, m.s-1)latitude_qc (latitude Variable Quality Flag)longitude_qc (longitude Variable Quality Flag)time_qc (time Variable Quality Flag)... (25 more variables)

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，且后勤保障极具挑战。北极港口设施匮乏，可用于长期海上作业的合规船舶资源亦极为有限。诸如滑翔机这类自主观测平台，可开展长达数周至数月的海洋学与被动声学数据采集，相较传统船基或航空调查，成本大幅降低。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、分类并远程上报北极及亚北极海域海洋哺乳动物鸣叫声的集成系统。该系统已在由北极海洋观测系统（Arctic Ocean Observing System, AOOS）资助的三项楚科奇海研究中完成成功演示，对应观测时段分别为2013年9月、2014年9月、2015年7月11日至9月8日、2016年7月10日至10月4日，以及2017年7月13日至8月23日。本次联合采集的声学-海洋学数据集，被用于基于滑翔机获取的原位被动声学与海洋学实测数据，分析海洋哺乳动物的分布、出现规律与栖息环境，同时验证了该系统的近实时检测与远程上报能力。
cdm_data_type = 轨迹剖面（TrajectoryProfile）
变量列表：
- trajectory：轨迹名称（Trajectory Name）
- wmo_id：世界气象组织标识
- time：剖面时间（自1970-01-01T00:00:00Z起的秒数）
- latitude：剖面纬度（北纬度数，degrees_north）
- longitude：剖面经度（东经度数，degrees_east）
- profile_id：剖面标识
- time_uv：深度平均时间（自1970-01-01T00:00:00Z起的秒数）
- lat_uv：深度平均纬度（北纬度数）
- lon_uv：深度平均经度（东经度数）
- u：深度平均东向海水流速（m·s⁻¹）
- v：深度平均北向海水流速（m·s⁻¹）
- latitude_qc：纬度变量质量标记
- longitude_qc：经度变量质量标记
- time_qc：时间变量质量标记
……（剩余25个变量）