IOOS Glider - ru33-20211001T1841

This project supports the deployment and realtime data delivery of autonomous underwater gliders in the coastal ocean to better resolve and understand essential ocean features and processes that contribute to hurricane intensification or weakening prior to making landfall. This is a partnership between NOAA Ocean and Atmospheric Research (OAR) through the Atlantic Oceanographic and Meteorological Laboratory (AOML) and Integrated Ocean Observing System (IOOS) regional associations such as MARACOOS, SECOORA, CariCOOS and institutions including the University of Puerto Rico, University of the Virgin Islands, Skidaway Institute of Oceanography, University of Delaware, and Rutgers University. The goal of the project is to provide realtime data for ocean model validation and assimilation throughout the hurricane season. This project is supported by the Disaster Recovery Act. This glider was supported by MARACOOS and deployed out of Tuckerton, NJ and will sample a triangle pattern out toward the shelf-break.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)depth (m)depth_qc (depth Variable Quality Flag)pressure (Sea Water Pressure, hectopascal)... (22 more variables)

本项目支持沿海海域自主水下滑翔机的部署与实时数据传输，以更好地解析和理解飓风登陆前影响其增强或减弱的关键海洋特征与过程。
本项目由美国国家海洋和大气管理局（National Oceanic and Atmospheric Administration, NOAA）下属的海洋与大气研究局（Ocean and Atmospheric Research, OAR）通过大西洋海洋与气象实验室（Atlantic Oceanographic and Meteorological Laboratory, AOML），以及综合海洋观测系统（Integrated Ocean Observing System, IOOS）区域协会（如MARACOOS、SECOORA、CariCOOS）与多家院校合作开展，合作院校包括波多黎各大学、维尔京群岛大学、斯凯达维海洋学研究所、特拉华大学与罗格斯大学。
本项目的目标是在整个飓风季为海洋模式验证与数据同化提供实时数据。
本项目由《灾后恢复法案》（Disaster Recovery Act）提供资助。
本次部署的滑翔机由MARACOOS支持，从新泽西州塔克特敦（Tuckerton, NJ）出发，将沿三角采样航线向陆架坡方向行进。
cdm_data_type = 轨迹廓线（TrajectoryProfile）
变量列表：
trajectory（轨迹名称）
wmo_id
time（廓线时间，即自1970-01-01T00:00:00Z以来的秒数）
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，即自1970-01-01T00:00:00Z以来的秒数）
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，单位：m·s⁻¹）
v（深度平均北向海水流速，单位：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）
depth（单位：米）
depth_qc（深度变量质量标记）
pressure（海水压力，单位：百帕）
……（另有22个变量）