Argo float vertical profile R4903236_063

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=-84.66938
featureType=Profile
geospatial_bounds=POINT (-84.66938 23.1457)
geospatial_bounds_crs=EPSG:4326
geospatial_lat_max=23.1457
geospatial_lat_min=23.1457
geospatial_lat_units=degrees_north
geospatial_lon_max=-84.66938
geospatial_lon_min=-84.66938
geospatial_lon_units=degrees_east
history=2020-05-01T02:01:02Z creation
id=R4903236_063
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=23.1457
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=23.1457
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=2020-04-26T01:02:50Z
time_coverage_resolution=P0000-00-00T00:00:00
time_coverage_start=2020-04-26T01:02:50Z
user_manual_version=3.2
Westernmost_Easting=-84.66938

本数据集包含由 Argo S2A 浮标在特定经纬度和日期下，从海面至2000米深度范围内测量的海洋剖面数据。数据以1米间隔提供了压力、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月提交至全球数据汇编中心（GDACs），经过延迟模式质量控制。所有可用的剖面计划于2021年初进行复检和评估。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，并作出新的调整。

数据集的文件属性包括：版本号为2，使用的NetCDF版本为4.6.3，HDF5版本为1.10.4，数据类型为剖面，使用了Transformer模型，变量类型为Token，属于大语言模型范畴。数据由RPS编辑，编辑者邮箱为[e-mail]，RPS为编辑者。遵循CF-1.7、ACDD-1.3、IOOS-1.2、Argo-3.2和COARDS等约定。数据创建时间为2020年5月1日。

数据集的地理范围为经度-84.66938至-84.66938，纬度为23.1457至23.1457。数据集包含CHAR类型变量，这些变量经过xarray和netCDF4-python库处理，增加了一个额外的维度（通常表示为'string1'）。此外，许多变量类型为'char'且具有'_FillValue'属性，该属性通过NumPy解释为'空字节字符串'，这导致序列化问题。因此，所有类型为'char'且'_FillValue'属性为'空字节字符串'的变量已移除该属性以避免序列化冲突。然而，数据本身并未改变，因此'_FillValue'的值仍为'空字节字符串'。

数据处理过程包括通过卫星传输接收Argo数据，在国家级数据汇编中心解码和组装，应用一组自动质量测试（RTQC）并分配质量标志。在延迟模式过程中（DMQC），数据受到视觉检查，并在必要时重新分配标志。对于受传感器漂移影响的浮标数据，使用统计工具和气候比较调整数据。对于每个在延迟模式下处理过的浮标，使用Owens和Wong（2009年）以及Cabanes等人（2016年）提出的OWC方法，结合四种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进行运行。如果从四次运行中获得的所有盐度调整与现有调整存在显著差异，则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，在收集后约12个月开始对剖面进行延迟模式检查，然后随着浮标获得更多数据，进行多次复查（详见Wong等人，2020年）。

项目属于理解墨西哥湾海洋系统（UGOS）计划，项目名称为‘利用自主剖面仪进行近实时水文和环流系统深速度监测的LC-Floats项目’。