SO-WISE South Atlantic Ocean and Indian Ocean Observational Constraints

This dataset contains an initial set of curated and processed oceanographic observations collected as part of a joint effort between the EU SO-CHIC project and a UKRI Future Leaders Fellowship. It is partly intended to be used as a set of observational constraints for a Weddell Gyre region state estimate, although it can be used for more general analysis purposes as well. It has been used as part of an unsupervised clustering analysis [see Jones (2022) for software and Jones and Zhou (2022) for labelled dataset, see references]. <strong>Overall spatial and temporal coverage</strong> Latitude: 85°S-30°S Longitude: 65°W-80°E Time: 1974-2020 <strong>Contents</strong> CPOM_SSH: sea-ice corrected sea surface height CTD: temperature and salinity profiles from ship-based CTD casts FLOATS: temperature and salinity profiles from Argo floats SEALS: temperature and salinity profiles from seal-mounted profilers Stress_and_EKE: sea-ice corrected surface stress and EKE XBT: temperature and salinity profiles from expendable bathythermographs (XBTs) <strong>Profile quality control</strong> We only consider profiles with good position and time flags, as well as good temperature, salinity, and pressure measurements with good flags. Duplicated profiles are identified when multiple profiles are found within 24 hours over the same 2 km x 2 km grid cell, and only one profile within the spatio-temporal window is used. We then used the MITprof toolbox (Forget, G., 2017) to pre-process the selected profiles, re-gridding them onto 72 standard pressure levels; the vertical interval varies from 20 dbar at the surface to 100 dbar in the deep ocean. <strong>SSH processing</strong> SSH data is sea-ice corrected version provided by the Centre for Polar Observation and Modelling (CPOM) in the UK. It is composed by two satellite missions, Envisat (2004/05-2012/03) and Cryosat-2 (2010/07-2020/04). The data is available in montly along-track format. A gaussian 300km filter, ±3 std outliner removal and 0.5x0.25 deg interpolation is applied to grid the data. Intersatellite offset is removed using the overlapped period between two missions using the mean difference map. SSH is referenced to EIGEN6C4 geoid to obtain the dynamic ocean topography feild for the computation of geostrophic velocity. See the README in the Stress_and_EKE directory for more information. <strong>Sources</strong> Argo floats: http://argo.ucsd.edu World Ocean Database: https://www.ncei.noaa.gov/products/world-ocean-database MEOP-CTD Database (seal profilers): https://www.meop.net/ CDRv4 available via NSIDC: https://nsidc.org/data/G02202 Polar Pathfinder sea ice drift data via NSIDC: https://nsidc.org/data/nsidc-0116 <strong>Version</strong> This is a pre-production version, in that it has not yet been used with a state estimate.本数据集收录了经整理与预处理的初始海洋观测数据集，由欧盟SO-CHIC项目与英国研究与创新署（UKRI）未来学者奖学金项目联合开展的工作所采集。本数据集部分用途为作为威德尔海环流（Weddell Gyre）区域状态估算的观测约束条件，同时也可应用于更广泛的分析研究。该数据集曾被用于无监督聚类分析[相关软件参见Jones(2022)，带标签数据集参见Jones与Zhou(2022)，详见参考文献]。 **整体时空覆盖范围** 纬度：南纬85°-30° 经度：西经65°-东经80° 时间：1974年-2020年 **数据集内容** CPOM_SSH：经海冰校正的海面高度 CTD：船载CTD施放获取的温盐剖面 FLOATS：Argo浮标（Argo floats）获取的温盐剖面 SEALS：海豹搭载剖面仪获取的温盐剖面 Stress_and_EKE：经海冰校正的海面应力与涡动动能（EKE，Eddy Kinetic Energy） XBT：抛弃式温深计（XBT，Expendable Bathythermograph）获取的温盐剖面 **剖面质量控制** 本数据集仅保留具备合格位置与时间标记，且温度、盐度与压力测量数据均带有合格标记的剖面。当同一2km×2km网格单元内24小时内出现多条重复剖面时，仅选取该时空窗口内的一条剖面予以保留。随后使用MITprof工具箱（MITprof toolbox，Forget, G., 2017）对筛选后的剖面进行预处理，将其重网格化至72个标准压力层；垂直间隔从表层的20分巴（dbar）至深海的100分巴不等。 **海面高度（SSH）处理流程** 海面高度数据为英国极地观测与模拟中心（CPOM，Centre for Polar Observation and Modelling）提供的经海冰校正版本。该数据集由Envisat（2004/05-2012/03）与Cryosat-2（2010/07-2020/04）两颗卫星任务的数据整合而成。数据以月度沿轨格式提供。通过高斯300km滤波、±3倍标准差异常值剔除以及0.5°×0.25°插值，将数据网格化。利用两颗卫星任务的重叠周期内的平均差值图，消除卫星间的偏移量。海面高度参考EIGEN6C4大地水准面（EIGEN6C4 geoid），以获取用于地转流速计算的动态海洋地形场。更多细节可参见Stress_and_EKE目录下的README文件。 **数据来源** Argo浮标：http://argo.ucsd.edu 世界海洋数据库：https://www.ncei.noaa.gov/products/world-ocean-database MEOP-CTD数据库（海豹剖面仪）：https://www.meop.net/ CDRv4（气候数据记录第四版）数据可通过美国国家冰雪数据中心（NSIDC，National Snow and Ice Data Center）获取：https://nsidc.org/data/G02202 极地路径查找器（Polar Pathfinder）海冰漂移数据可通过NSIDC获取：https://nsidc.org/data/nsidc-0116 **版本说明** 本数据集为预发布版本，尚未与状态估算工作结合使用。