Argo float vertical profile R4903236_067
收藏gcoos5.geos.tamu.edu2020-12-22 更新2025-03-21 收录
下载链接:
https://gcoos5.geos.tamu.edu/erddap/tabledap/R4903236_067.html
下载链接
链接失效反馈官方服务:
资源简介:
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=-84.85267
featureType=Profile
geospatial_bounds=POINT (-84.85267 23.35375)
geospatial_bounds_crs=EPSG:4326
geospatial_lat_max=23.35375
geospatial_lat_min=23.35375
geospatial_lat_units=degrees_north
geospatial_lon_max=-84.85267
geospatial_lon_min=-84.85267
geospatial_lon_units=degrees_east
history=2020-05-20T22:01:02Z creation
id=R4903236_067
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=23.35375
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=23.35375
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=2020-05-15T21:44:22Z
time_coverage_resolution=P0000-00-00T00:00:00
time_coverage_start=2020-05-15T21:44:22Z
user_manual_version=3.2
Westernmost_Easting=-84.85267
本数据集包含了通过 Argo S2A 漂浮体在特定经纬度和日期下,从海面至 2000 米深度范围内的海洋剖面数据。其中,压力、现场温度(ITS-90)和实际盐度以 1 米的间隔通过水柱提供。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)。所有可用的剖面计划于 2021 年初进行回顾和评估。浮标编号 4903233 在剖面编号 77 时开始显示盐度漂移,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 NCProperties 包含版本信息、数据格式和库版本。cdm_altitude_proxy 指定为 'PRES',cdm_data_type 为 'Profile',cdm_profile_variables 为 'profile'。注释字段提供了关于字符变量和填充值的说明。数据集的 Conventions 包含多个数据交换和编码标准。日期元数据最后修改时间为 2020 年 12 月 22 日。
地理空间边界、机构、仪器、平台、处理级别和项目信息等详细描述了数据集的背景和来源。变量列表包括时间、经纬度、位置质量控制、配置任务编号、剖面压力质量控制和剖面盐度质量控制等。时间范围覆盖从 2020 年 5 月 15 日至 2020 年 5 月 15 日。
请注意,由于 xarray 和 netCDF4-python 库的底层问题,CHAR 类型的变量被修改以包含额外的维度(通常表示为 'string1')。此外,许多变量具有 '_FillValue' 属性,其通过 NumPy 解释为 'b',一个空的字节字符串,这可能导致序列化问题。为了解决这些问题,所有具有 '_FillValue = b' 的 CHAR 类型变量都去除了 '_FillValue' 属性,但数据本身并未改变。
提供机构:
GCOOS



