Argo float vertical profile D4903233_006

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=[e-mail]
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=-87.07281
featureType=Profile
geospatial_bounds=POINT (-87.07281 24.66392)
geospatial_bounds_crs=EPSG:4326
geospatial_lat_max=24.66392
geospatial_lat_min=24.66392
geospatial_lat_units=degrees_north
geospatial_lon_max=-87.07281
geospatial_lon_min=-87.07281
geospatial_lon_units=degrees_east
history=2019-07-23T14:00:37Z creation
id=D4903233_006
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=24.66392
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=24.66392
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=2019-07-18T11:00:23Z
time_coverage_resolution=P0000-00-00T00:00:00
time_coverage_start=2019-07-18T11:00:23Z
user_manual_version=3.2
Westernmost_Easting=-87.07281

本数据集包含由 Argo S2A 浮标在特定纬度、经度和日期下测量的海洋剖面数据，数据范围从海面至 2000 米深度。数据以 1 米的间隔提供了压力、现场温度（ITS-90）和实际盐度。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和提交至全球数据汇编中心（GDACs）。所有可用剖面计划于 2021 年初进行复查和评估。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实施新的调整。

数据集属性：
- _NCProperties：版本 2，netCDF 4.6.3，hdf5 1.10.4
- cdm_altitude_proxy：PRES
- cdm_data_type：Profile
- cdm_profile_variables：profile
- comment：自由文本
- contributor_email：[e-mail]
- contributor_name：RPS
- contributor_role：编辑
- 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：-87.07281
- featureType：Profile
- geospatial_bounds：POINT (-87.07281 24.66392)
- geospatial_bounds_crs：EPSG:4326
- geospatial_lat_max：24.66392
- geospatial_lat_min：24.66392
- geospatial_lat_units：degrees_north
- geospatial_lon_max：-87.07281
- geospatial_lon_min：-87.07281
- geospatial_lon_units：degrees_east
- history：2019-07-23T14:00:37Z creation
- id：D4903233_006
- infoUrl：http://www.argodatamgt.org/Documentation
- institution：GCOOS
- instrument：Argo
- instrument_vocabulary：GCMD 地球科学关键词. 版本 5.3.3
- keywords_vocabulary：GCMD 科学关键词
- naming_authority：edu.tamucc.gulfhub
- Northernmost_Northing：24.66392
- note_CHAR_variables：RPS 元数据增强注释
- 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 元数据增强注释
- 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 浮标
- platform_vocabulary：IOOS 平台词汇表
- processing_level：Argo 数据通过卫星传输接收，在国家数据汇编中心解码和汇编。这些数据汇编中心对数据应用一系列自动质量测试（RTQC），并相应地分配质量标志。在延迟模式处理（DMQC）中，数据将受到视觉检查，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过的浮标，都运行 OWC 方法（Owens 和 Wong，2009；Cabanes 等人，2016），使用四组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。如果从四次运行中获得的盐度调整值与现有调整值差异显著，则重新检查浮标上的盐度数据，并在必要时提出新的调整建议。通常的做法是在收集后大约 12 个月后首先检查延迟模式下的剖面，然后随着从浮标获得更多数据而多次复查（详见 Wong 等人，2020）。
- program：理解墨西哥湾海洋系统（UGOS）
- project：国家科学院理解墨西哥湾海洋系统 'LC-Floats - 使用自主剖面在 Loop Current 系统中进行近实时水文学和深速度研究' 项目
- references：http://www.argodatamgt.org/Documentation
- sea_name：墨西哥湾
- source：Argo 浮标
- sourceUrl：(本地文件)
- Southernmost_Northing：24.66392
- standard_name_vocabulary：CF 标准名称表 v67
- subsetVariables：CYCLE_NUMBER，DIRECTION，DATA_MODE，时间，JULD_QC，JULD_LOCATION，纬度，经度，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：2019-07-18T11:00:23Z
- time_coverage_resolution：P0000-00-00T00:00:00
- time_coverage_start：2019-07-18T11:00:23Z
- user_manual_version：3.2
- Westernmost_Easting：-87.07281