five

Argo float vertical profile R4903237_069

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gcoos5.geos.tamu.edu2020-12-22 更新2025-03-21 收录
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These data are ocean profile data measured by profiling Argo S2A floats at a specific latitude, longitude, and date nominally from the surface to 2000 meters depth. Pressure, in situ temperature (ITS-90), and practical salinity are provided at 1-m increments through the water column. Argo data from Gulf of Mexico (GOM) LC1 (9 floats) and LC2 (12 floats) were delayed mode quality controlled and submitted to Global Data Assembly Centers (GDACs) in May 2020. All available profiles are planned to be revisited and evaluated in early 2021. Float no. 4903233 started showing drift in salinity at profile no. 77, and the salinity data will be carefully examined with a new adjustment in early 2021. _NCProperties=version=2,netcdf=4.6.3,hdf5=1.10.4 cdm_altitude_proxy=PRES cdm_data_type=Profile cdm_profile_variables=profile comment=free text contributor_email=devops@rpsgroup.com contributor_name=RPS contributor_role=editor contributor_role_vocabulary=https://vocab.nerc.ac.uk/collection/G04/current/ contributor_url=https://www.rpsgroup.com/ Conventions=CF-1.7, ACDD-1.3, IOOS-1.2, Argo-3.2, COARDS date_metadata_modified=2020-12-22T15:54:25Z Easternmost_Easting=-88.21407 featureType=Profile geospatial_bounds=POINT (-88.21407 27.93906) geospatial_bounds_crs=EPSG:4326 geospatial_lat_max=27.93906 geospatial_lat_min=27.93906 geospatial_lat_units=degrees_north geospatial_lon_max=-88.21407 geospatial_lon_min=-88.21407 geospatial_lon_units=degrees_east history=2020-06-02T00:02:57Z creation id=R4903237_069 infoUrl=http://www.argodatamgt.org/Documentation institution=GCOOS instrument=Argo instrument_vocabulary=GCMD Earth Science Keywords. Version 5.3.3 keywords_vocabulary=GCMD Science Keywords naming_authority=edu.tamucc.gulfhub Northernmost_Northing=27.93906 note_CHAR_variables=RPS METADATA ENHANCEMENT NOTE Variables of data type 'CHAR' have been altered by the xarray and netCDF4-python libraries to contain an extra dimension (often denoted as 'string1'). This is due to an underlying issue in the libraries: https://github.com/pydata/xarray/issues/1977. Upon examination, one will find the data has not been altered but only changed shape. We realize this is sub-optimal and apologize for any inconveniences this may cause. note_FillValue=RPS METADATA ENHANCEMENT NOTE Many variables in this dataset are of type 'char' and have a '_FillValue' attribute which is interpreted through NumPy as 'b', an empty byte string. This causes serialization issues. As a result, all variables of type 'char' with '_FillValue = b' have had the _FillValue attribute removed to avoid serialization conflicts. However, no data has been changed, so the _FillValue is still "b' '". platform=subsurface_float platform_name=Argo Float platform_vocabulary=IOOS Platform Vocabulary processing_level=Argo data are received via satellite transmission, decoded and assembled at national DACs. These DACs apply a set of automatic quality tests (RTQC) to the data, and quality flags are assigned accordingly. In the delayed-mode process (DMQC), data are subjected to visual examination and are re-flagged where necessary. For the float data affected by sensor drift, statistical tools and climatological comparisons are used to adjust the data for sensor drift when needed. For each float that has been processed in delayed-mode, the OWC method (Owens and Wong, 2009; Cabanes et al., 2016) is run with four different sets of spatial and temporal decorrelation scales and the latest available reference dataset. If the salinity adjustments obtained from the four runs all differ significantly from the existing adjustment, then the salinity data from the float are re-examined and a new adjustment is suggested if necessary. The usual practice is to examine the profiles in delayed-mode initially about 12 months after they are collected, and then revisit several times as more data from the floats are obtained (see details in Wong et al., 2020). program=Understanding Gulf Ocean Systems (UGOS) project=National Academy of Science Understanding Gulf Ocean Systems 'LC-Floats - Near Real-time Hydrography and Deep Velocity in the Loop Current System using Autonomous Profilers' Program references=http://www.argodatamgt.org/Documentation sea_name=Gulf of Mexico source=Argo float sourceUrl=(local files) Southernmost_Northing=27.93906 standard_name_vocabulary=CF Standard Name Table v67 subsetVariables=CYCLE_NUMBER, DIRECTION, DATA_MODE, time, JULD_QC, JULD_LOCATION, latitude, longitude, POSITION_QC, CONFIG_MISSION_NUMBER, PROFILE_PRES_QC, PROFILE_TEMP_QC, PROFILE_PSAL_QC time_coverage_duration=P0000-00-00T00:00:00 time_coverage_end=2020-05-27T21:33:13Z time_coverage_resolution=P0000-00-00T00:00:00 time_coverage_start=2020-05-27T21:33:13Z user_manual_version=3.2 Westernmost_Easting=-88.21407

本数据集收录了由 Argo S2A 浮标在特定经纬度和日期下,从海面至2000米深度所测量的海洋剖面数据。数据以1米为间隔,提供了压力、现场温度(ITS-90)和实际盐度等信息。墨西哥湾(GOM)LC1(9个浮标)和LC2(12个浮标)的 Argo 数据在2020年5月进行了延迟模式质量控制,并提交至全球数据汇编中心(GDACs)。所有可用剖面计划于2021年初进行回顾和评估。浮标编号4903233在剖面编号77时开始出现盐度漂移,盐度数据将在2021年初进行仔细检查并进行新的调整。 数据集属性: - 版本:2 - NetCDF版本:4.6.3 - HDF5版本:1.10.4 - 空间数据集:PRES - 数据类型:剖面 - 剖面变量:profile - 评论:自由文本 - 贡献者邮箱:devops@rpsgroup.com - 贡献者名称:RPS - 贡献者角色:编辑 - 贡献者角色词汇表:https://vocab.nerc.ac.uk/collection/G04/current/ - 贡献者网址:https://www.rpsgroup.com/ - 规范:CF-1.7, ACDD-1.3, IOOS-1.2, Argo-3.2, COARDS - 元数据修改日期:2020-12-22T15:54:25Z - 最东经度:-88.21407 - 特征类型:剖面 - 地理空间边界:POINT (-88.21407 27.93906) - 地理空间边界坐标参考系:EPSG:4326 - 最北纬度:27.93906 - 最南纬度:27.93906 - 最南纬度单位:北纬度 - 最西经度:-88.21407 - 最东经度:-88.21407 - 最东经度单位:东经度 - 历史:2020-06-02T00:02:57Z 创建 - ID:R4903237_069 - 信息网址:http://www.argodatamgt.org/Documentation - 机构:GCOOS - 仪器:Argo - 仪器词汇表:GCMD 地球科学关键词. 版本 5.3.3 - 关键词词汇表:GCMD 科学关键词 - 命名权威:edu.tamucc.gulfhub - 最北纬度:27.93906 - 注意字符变量:RPS 元数据增强说明 - 数据类型为 'CHAR' 的变量已通过 xarray 和 netCDF4-python 库修改,以包含一个额外的维度(通常表示为 'string1')。这是由于库中存在一个基本问题:https://github.com/pydata/xarray/issues/1977。经检查,数据并未被修改,而只是改变了形状。我们意识到这并非最佳方案,并对可能造成的任何不便表示歉意。 - 注意填充值:RPS 元数据增强说明 - 本数据集中许多变量类型为 'char',并具有 '_FillValue' 属性,通过 NumPy 解释为 'b',一个空字节字符串。这导致序列化问题。因此,所有类型为 'char' 且 '_FillValue = b' 的变量都已移除 '_FillValue' 属性,以避免序列化冲突。然而,没有数据被更改,因此 '_FillValue' 仍然是 'b'' - 平台:水下浮标 - 平台名称:Argo 浮标 - 平台词汇表:IOOS 平台词汇表 - 处理级别:Argo 数据通过卫星传输接收,并在国家数据汇编中心解码和组装。这些数据汇编中心对数据应用一组自动质量测试(RTQC),并相应地分配质量标志。在延迟模式过程中(DMQC),数据将接受视觉检查,并在必要时重新标记。对于受传感器漂移影响的浮标数据,当需要时,使用统计工具和气候比较来调整数据以补偿传感器漂移。对于每个在延迟模式下处理的浮标,使用 OWC 方法(Owens 和 Wong,2009;Cabanes 等人,2016)运行四个不同的空间和时间去相关尺度,以及最新的可用参考数据集。如果从四个运行中获得的所有盐度调整都与现有调整存在显著差异,则将重新检查浮标的盐度数据,并在必要时提出新的调整建议。通常的做法是在数据收集后的约12个月后最初检查延迟模式下的剖面,然后在获得更多浮标数据后多次重新访问(详见 Wong 等人,2020 年)。 - 项目:理解墨西哥湾海洋系统(UGOS) - 项目名称:国家科学院理解墨西哥湾海洋系统 'LC-Floats - 使用自主剖面在墨西哥湾流系统中的近实时水文和深层流速计划' - 参考文献:http://www.argodatamgt.org/Documentation - 海域名称:墨西哥湾 - 数据源:Argo 浮标 - 数据源网址:(本地文件) - 最南纬度:27.93906 - 标准名称词汇表:CF 标准名称表 v67 - 子集变量:CYCLE_NUMBER, DIRECTION, DATA_MODE, time, JULD_QC, JULD_LOCATION, latitude, longitude, POSITION_QC, CONFIG_MISSION_NUMBER, PROFILE_PRES_QC, PROFILE_TEMP_QC, PROFILE_PSAL_QC - 时间范围持续时间:P0000-00-00T00:00:00 - 时间范围结束:2020-05-27T21:33:13Z - 时间范围分辨率:P0000-00-00T00:00:00 - 时间范围开始:2020-05-27T21:33:13Z - 用户手册版本:3.2 - 最西经度:-88.21407
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