Argo float vertical profile R4903250_041

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=-84.57606
featureType=Profile
geospatial_bounds=POINT (-84.57606 24.96613)
geospatial_bounds_crs=EPSG:4326
geospatial_lat_max=24.96613
geospatial_lat_min=24.96613
geospatial_lat_units=degrees_north
geospatial_lon_max=-84.57606
geospatial_lon_min=-84.57606
geospatial_lon_units=degrees_east
history=2020-04-14T19:00:51Z creation
id=R4903250_041
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=24.96613
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=24.96613
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=2020-04-09T17:41:26Z
time_coverage_resolution=P0000-00-00T00:00:00
time_coverage_start=2020-04-09T17:41:26Z
user_manual_version=3.2
Westernmost_Easting=-84.57606

本数据集收录了由 Argo S2A 漂浮标在特定纬度、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米为间隔提供了压力、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 数据于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）。所有可用的剖面计划于2021年初进行重新访问和评估。浮标编号为4903233的在第77次剖面开始显示出盐度漂移，盐度数据将在2021年初进行仔细检查并作出新的调整。

_NCProperties=版本=2,netcdf=4.6.3,hdf5=1.10.4
cdm_altitude_proxy=PRES
cdm_data_type=剖面
cdm_profile_variables=剖面
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=-84.57606
featureType=剖面
geospatial_bounds=点（-84.57606 24.96613）
geospatial_bounds_crs=EPSG:4326
geospatial_lat_max=24.96613
geospatial_lat_min=24.96613
geospatial_lat_units=北纬度
geospatial_lon_max=-84.57606
geospatial_lon_min=-84.57606
geospatial_lon_units=东经度
history=2020-04-14T19:00:51Z 创建
id=R4903250_041
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=24.96613
note_CHAR_variables=RPS 元数据增强注释
数据类型为 'CHAR' 的变量已被 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，只是改变了形状。我们意识到这是次优的，并对可能造成的不便表示歉意。
note_FillValue=RPS 元数据增强注释
许多变量在此数据集中为 'char' 类型，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，所以 '_FillValue' 仍然是 'b' '。
platform=subsurface_float
platform_name=Argo 漂浮标
platform_vocabulary=IOOS 平台词汇表
processing_level=Arго数据通过卫星传输接收，在国家数据汇编中心进行解码和汇编。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适应传感器漂移。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性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个月对延迟模式下的剖面进行初步检查，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）。
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 - 使用自主剖面仪的近实时水文学和环流系统中的深流速' 项目
references=http://www.argodatamgt.org/Documentation
sea_name=墨西哥湾
source=Ar戈浮标
sourceUrl=(本地文件)
Southernmost_Northing=24.96613
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
时间范围结束=2020-04-09T17:41:26Z
时间范围分辨率=P0000-00-00T00:00:00
时间范围开始=2020-04-09T17:41:26Z
user_manual_version=3.2
Westernmost_Easting=-84.57606