five

Argo float vertical profile R4903236_093

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_093.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=-82.04628 featureType=Profile geospatial_bounds=POINT (-82.04628 23.48658) geospatial_bounds_crs=EPSG:4326 geospatial_lat_max=23.48658 geospatial_lat_min=23.48658 geospatial_lat_units=degrees_north geospatial_lon_max=-82.04628 geospatial_lon_min=-82.04628 geospatial_lon_units=degrees_east history=2020-09-27T07:00:54Z creation id=R4903236_093 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=23.48658 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=23.48658 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=2020-09-22T05:17:46Z time_coverage_resolution=P0000-00-00T00:00:00 time_coverage_start=2020-09-22T05:17:46Z user_manual_version=3.2 Westernmost_Easting=-82.04628

本数据集包含通过测量特定纬度、经度和日期的 Argo S2A 浮标自海面至 2000 米深度的海洋剖面数据。压力、现场温度(ITS-90)和实际盐度以 1 米的间隔沿水柱提供。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 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: - _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=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=-82.04628 - featureType=Profile - geospatial_bounds=POINT (-82.04628 23.48658) - geospatial_bounds_crs=EPSG:4326 - geospatial_lat_max=23.48658 - geospatial_lat_min=23.48658 - geospatial_lat_units=degrees_north - geospatial_lon_max=-82.04628 - geospatial_lon_min=-82.04628 - geospatial_lon_units=degrees_east - history=2020-09-27T07:00:54Z creation - id=R4903236_093 - 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=23.48658 - 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 数据通过卫星传输接收,并在国家数据汇编中心(DACs)解码和汇编。这些 DACs 对数据应用一组自动质量测试(RTQC),并相应地分配质量标志。在延迟模式处理(DMQC)中,数据受到视觉检查,并在必要时重新标记。对于受传感器漂移影响的浮标数据,使用统计工具和气候比较来调整数据以补偿传感器漂移。对于每个已通过延迟模式处理的浮标,使用 OWC 方法(Owens 和 Wong,2009;Cabanes 等人,2016)与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运行。如果从四个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。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,然后随着更多浮标数据的获得而多次重新访问(详见 Wong 等人,2020)。 - program=Understanding Gulf Ocean Systems (UGOS) - project=国家科学院理解墨西哥湾系统 'LC-Floats - 使用自主剖面仪在 Loop Current 系统中进行近实时水文学和深层流速研究' 项目 - references=http://www.argodatamgt.org/Documentation - sea_name=墨西哥湾 - source=Argo 浮标 - sourceUrl=(local files) - Southernmost_Northing=23.48658 - 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=2020-09-22T05:17:46Z - time_coverage_resolution=P0000-00-00T00:00:00 - time_coverage_start=2020-09-22T05:17:46Z - user_manual_version=3.2 - Westernmost_Easting=-82.04628
提供机构:
GCOOS
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作