five

RV Investigator Voyage IN2017_T02 Underway UWY Data

收藏
Research Data Australia2024-12-14 收录
下载链接:
https://researchdata.edu.au/rv-investigator-voyage-uwy-data/992977
下载链接
链接失效反馈
官方服务:
资源简介:
This record describes the Underway (UWY) data collected from the Marine National Facility (MNF) RV Investigator Voyage IN2017_T02, titled: "Collaborative Australian Postgraduate Sea Training Alliance Network Pilot Voyage 1." The voyage took place between November 14 and November 26, 2017 departing from Fremantle (WA) and arriving in Hobart (TAS). Standard Underway data is continuously recorded, consisting of: (1) Navigation data (NAV): Latitude, Longitude, Speed, Heading, Course Over Ground, Gyros, and Doppler Log (dual GPS instrument). (2) Thermosalinograph (TSG): Water Salinity, Flow-Rate, Temperature, Fluorescence, pCO2 and Optode/Oxygen. (3) Atmospheric (MET): Humidity, Wind Speed and Direction (vane and ultrasonic), Radiometer/Sea Surface Temprature, Pyranometer/Solar Radiation, Photosynthetically Active Radiation (PAR), Air Temperature, Air Pressure, Rain, Ozone and Trace Gases (port and starboard instruments). The quality-controlled RV Investigator underway meteorological and SST data are supplied to the IMOS AODN where they are publicly available at the "Ships of Opportunity" Thredds server (http://thredds.aodn.org.au/thredds/catalog/IMOS/SOOP/SOOP-ASF/VLMJ_Investigator/catalog.html) for research. From there, they are downloaded by NOAA for their In Situ Quality Monitoring web site (iQUAM2) and made available for satellite SST validation. The SBE 38 SST data are used within the Australian Bureau of Meteorology for real-time satellite SST validation and ingested into real-time SST analyses which are then used as the boundary condition for Numerical Weather Prediction models. The meteorological and SST data are uploaded onto the Global Telecommunications System (GTS) for global dissemination to Meteorological Agencies, and separately supplied to the SAMOS (http://samos.coaps.fsu.edu/html/) Project for air-sea flux research. The real-time SBE 38 SST data are currently (2017) used in the following data products (accessed via the GTS): • International Comprehensive Ocean-Atmosphere Data Set (ICOADS R3.0) (http://icoads.noaa.gov/) • NOAA NCEI Extended Reconstructed Sea Surface Temperature version 4 (ERSST.v4) (https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v4) • Hadley Centre SST Data Set (HadSST3) (http://www.metoffice.gov.uk/hadobs/hadsst3/) • Global Ocean Surface Underway Data (GOSUD) Project (http://www.gosud.org/) • Bureau of Meteorology daily and weekly SST analyses (http://www.bom.gov.au/marine/sst.shtml) • NOAA NCEI “Reynolds” daily global OISST analysis (https://www.ncdc.noaa.gov/oisst) • NASA JPL “MUR” 1 km daily global SST analysis (https://mur.jpl.nasa.gov/) • UK Met Office “OSTIA” daily global SST analysis (http://ghrsst-pp.metoffice.com/pages/latest_analysis/ostia.html) • CMC daily global SST analysis • Ourocean “G1SST” global daily 1 km SST analysis (https://ourocean.jpl.nasa.gov/SST) As part of the underway data gathering system, other datasets are produced (e.g., pCO2, ISAR SST) which are processed separately and have their own metadata records. Data are recorded at 5 second intervals. Near real-time data are available via the link "Visualisation tool for Underway Data." This dataset will be processed and archived within the CSIRO Oceans & Atmosphere (O&A) Information and Data Centre (IDC) in Hobart (TAS). Data are available at time intervals of 5 sec (NetCDF format), 10 sec and 5 min (ASCII format). Additional information regarding this dataset is contained in the Voyage Summary and/or the Data Processing Report for this voyage.

本记录描述了澳大利亚国家海洋设施(Marine National Facility, MNF)“调查者号”(RV Investigator)IN2017_T02航次采集的走航(Underway, UWY)数据,该航次标题为《澳大利亚研究生海上培训合作联盟网络试点航次1》。本次航次于2017年11月14日至11月26日开展,从西澳大利亚州弗里曼特尔起航,最终抵达塔斯马尼亚州霍巴特。 标准走航数据为连续采集记录,包含以下三类: 1. 导航数据(Navigation data, NAV):纬度、经度、航速、艏向、对地航向、陀螺罗经数据以及多普勒计程仪(双GPS仪器)测量结果。 2. 温盐仪(Thermosalinograph, TSG):海水盐度、流量、水温、荧光强度、二氧化碳分压(pCO₂)以及光学溶解氧传感器(Optode/Oxygen)监测数据。 3. 气象数据(Atmospheric data, MET):湿度、风速与风向(风向标与超声波传感器)、辐射计/海表温度、总日射表/太阳辐射、光合有效辐射(Photosynthetically Active Radiation, PAR)、气温、气压、降水量、臭氧以及痕量气体(左舷与右舷仪器)观测数据。 经质量管控的“调查者号”走航气象及海表温度(Sea Surface Temperature, SST)数据已提交至IMOS AODN,可通过“机遇船舶”Thredds服务器(http://thredds.aodn.org.au/thredds/catalog/IMOS/SOOP/SOOP-ASF/VLMJ_Investigator/catalog.html)公开获取,供科研使用。美国国家海洋和大气管理局(National Oceanic and Atmospheric Administration, NOAA)从该服务器下载数据,用于其原位质量监测网站(iQUAM2),并将其应用于卫星海表温度验证工作。 SBE 38型海表温度传感器采集的数据已被澳大利亚气象局用于实时卫星海表温度验证,并被纳入实时海表温度分析产品,作为数值天气预报(Numerical Weather Prediction, NWP)模式的边界条件。 上述气象与海表温度数据已上传至全球电信系统(Global Telecommunications System, GTS),供全球气象机构分发,同时还单独提供给SAMOS项目(http://samos.coaps.fsu.edu/html/)用于海气通量研究。 2017年时,实时SBE 38型海表温度数据已应用于以下数据产品(可通过GTS获取): • 国际综合海洋-大气数据集(International Comprehensive Ocean-Atmosphere Data Set, ICOADS R3.0)(http://icoads.noaa.gov/) • NOAA国家环境信息中心扩展重构海表温度数据集第4版(ERSST.v4)(https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v4) • 哈德利中心海表温度数据集(HadSST3)(http://www.metoffice.gov.uk/hadobs/hadsst3/) • 全球海洋走航数据(Global Ocean Surface Underway Data, GOSUD)项目(http://www.gosud.org/) • 澳大利亚气象局每日及每周海表温度分析产品(http://www.bom.gov.au/marine/sst.shtml) • NOAA国家环境信息中心“雷诺兹”每日全球OISST分析产品(https://www.ncdc.noaa.gov/oisst) • NASA喷气推进实验室“MUR”1km分辨率每日全球海表温度分析产品(https://mur.jpl.nasa.gov/) • 英国气象局“OSTIA”每日全球海表温度分析产品(http://ghrsst-pp.metoffice.com/pages/latest_analysis/ostia.html) • 加拿大环境与气候变化中心(CMC)每日全球海表温度分析产品 • Ourocean“G1SST”全球1km分辨率每日海表温度分析产品(https://ourocean.jpl.nasa.gov/SST) 作为走航数据采集系统的组成部分,本项目还生成了其他数据集(如pCO₂、ISAR海表温度数据),此类数据集将单独处理,并拥有独立的元数据记录。 数据以5秒间隔进行采集记录。近实时数据可通过“走航数据可视化工具”链接获取。本数据集将由位于塔斯马尼亚州霍巴特的澳大利亚联邦科学与工业研究组织(Commonwealth Scientific and Industrial Research Organisation, CSIRO)海洋与大气(Oceans & Atmosphere, O&A)信息与数据中心(IDC)进行处理与归档。数据集提供三种时间间隔版本:5秒间隔(NetCDF格式)、10秒间隔及5分钟间隔(ASCII格式)。有关本数据集的更多详细信息,请参阅本次航次的航次总结报告及/或数据处理报告。
提供机构:
Australian Ocean Data Network
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作