IOOS Glider - ru34-20200729T1430

This glider mission will serve as an integral component of Ørsted’s Ecosystem and Passive Acoustic Monitoring (ECO-PAM) project, which will help advance research for detection of North Atlantic right whale, to better understand their presence, distribution and seasonality and to contribute to characterization of their habitat in offshore wind lease areas. Additional benefits of the glider mission include collection of tagged fish data disseminated thru the Animal Telemetry Network as well as contribution of data gathered to the NOAA IOOS Glider DAC that will help improve accuracy of weather forecasting and predicting severe storms. The ECO-PAM project is in partnership with the University of Rhode Island, Woods Hole Oceanographic Institution and Rutgers, The State University of New Jersey. This real-time dataset contains temperature, salinity and oxygen concentration measurements.  Acoustic monitoring data will be packaged separately and is not included in this dataset. The glider was deployed southeast of Atlantic City and will perform zig-zag transects south along the coast of New Jerseycdm_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)depth (m)depth_qc (depth Variable Quality Flag)... (23 more variables)

本滑翔机任务将作为丹麦沃旭能源（Ørsted）生态系统与被动声学监测（Ecosystem and Passive Acoustic Monitoring, ECO-PAM）项目的核心组成部分，该项目旨在推进北大西洋露脊鲸的探测研究，以明晰其出现情况、分布格局与季节特征，并助力刻画海上风电租赁区内的鲸类栖息地特征。
该滑翔机任务的附加价值还包括：通过动物遥测网络（Animal Telemetry Network）分发标记鱼类的采集数据，同时将所获数据提交至美国国家海洋和大气管理局（National Oceanic and Atmospheric Administration, NOAA）集成海洋观测系统（Integrated Ocean Observing System, IOOS）滑翔机数据采集中心（Glider DAC），以提升天气预报与强风暴预测的精度。
本ECO-PAM项目由罗德岛大学、伍兹霍尔海洋研究所与新泽西州立罗格斯大学联合开展。
本实时数据集包含温度、盐度与溶解氧浓度的测量数据。声学监测数据将单独封装，不包含于本数据集内。该滑翔机于大西洋城东南海域部署，将沿新泽西州海岸向南开展锯齿状断面巡航。
cdm_data_type = TrajectoryProfile
变量：
trajectory（轨迹名称）
wmo_id
time（廓线时间，距1970-01-01T00:00:00Z的秒数）
latitude（廓线纬度，北纬度数）
longitude（廓线经度，东经度数）
profile_id
time_uv（深度平均时间，距1970-01-01T00:00:00Z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（深度平均东向海流速度，单位：m·s⁻¹）
v（深度平均北向海流速度，单位：m·s⁻¹）
latitude_qc（latitude变量质量控制标记）
longitude_qc（longitude变量质量控制标记）
time_qc（time变量质量控制标记）
depth（单位：米）
depth_qc（depth变量质量控制标记）
……（另有23个变量）