SOCCOM float data - Snapshot 2018-12-31. In Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data ArchiveSouthern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive

This .zip archive contains Quality Controlled float data for biogeochemical profiling floats deployed by the Southern Ocean Carbon and Climate Observation and Modeling (SOCCOM) program. Data were processed by the SOCCOM data management team at the Monterey Bay Aquarium Research Institute (MBARI). Certain early archives may contain additional University of Washington/MBARI floats deployed outside of the SOCCOM array. FORMAT: The ascii files contained herein were formatted to be compatible with Ocean Data View (ODV). ODV is freely available at https://odv.awi.de/. In addition, a Matlab function has been provided in each .zip archive for parsing the .txt files into data structures within Matlab (see get_FloatViz_data.m). Please note that the data files within this .zip archive represent a snapshot of all SOCCOM float data processed at MBARI as of the date listed in the file name. Therefore, be aware that processing updates (** AND THUS CHANGES TO THE DATA **) may have occurred since the time the snapshot was created. For the most up-to-date files (processed every 4 hours), visit ftp://ftp.mbari.org/pub/SOCCOM/FloatVizData/ or http://www.mbari.org/science/upper-ocean-systems/chemical-sensor-group/floatviz/ ALTERNATE FORMATS: NetCDF and Matlab Matlab and NetCDF formatted files are provided for each ODV text file. The Matlab format is loaded as structure, FloatViz, with the ODV parameter names as the structure's fieldnames. The NetCDF format is similar to ARGO Float NetCDF format in its structure. The parameter names, however, match the ODV text parameter names. In addition to the quality control flag strings that ARGO profiles use, an array of quality control flags is provided in the NetCDF files for programming convenience. QUALITY CONTROL DOCUMENTATION: Quality control (QC) of SOCCOM float data is performed routinely by SOCCOM data managers at MBARI. QC notification emails are currently being sent out periodically to inform users of any recent updates to QC and/or sensor calibrations for specific floats. Comments on recent processing updates are also included. All QC emails as of the date of this snapshot are included in each downloadable zip file. PARAMETERS: For information pertaining to float identification, sensor arrays, data parameters, and quality control please refer to descriptions within the file headers. Snapshots created after Jan 01, 2017 include estimated total alkalinity and derived carbon parameters for DIC and pCO2 using one of three algorithms (LIAR, MLR, or CANYON). Floats without a pH sensor will not have these additional parameters within their respective data files. See file headers for details. Additionally, files located at the urls listed above will include carbon parameters derived using observed pH and total alkalinity estimated by the LIAR method. RESOLUTION: This archive contains either low resolution or high resolution data. The format is defined by the folder name: SOCCOM_LoResQC_METHOD_ddmmmyyyy or SOCCOM_HiResQC_METHOD_ddmmmyyyy (where METHOD = LIAR, MLR, or CANYON). Note that for APEX floats, the low resolution files only report data at depths where biogeochemical sensors sample, while the high resolution files merge this low resolution data with higher resolution pressure, temperature and salinity data (sampled every two meters in the upper 1000 meters). Be aware that, due to the merging of the two separate sampling schemes by interleaving the LowRes samples into the HiRes sample structure, HiRes files could potentially contain separate sets of samples with duplicate pressure values. For NAVIS floats all biogeochemical sensors except nitrate are sampled every 2 meters in the upper 1000 m. For NAVIS floats all data is contained in the "LoResQC" files (no "HiResQC" files exist). DISCLAIMER: These data are provided as-is. We do our best to provide high-quality, complete data but make no guarantees as to the presence of errors within the data themselves or the algorithms used in the generation of derived parameters. It is the user's responsibility to ensure that the data meets the user's needs. However, please report any observed discrepancies in the data to the contact listed below and we will do our best to fix them. CONTACT: Please report any discrepancies, problems or concerns to the following and include "FLOATVIZ SNAPSHOT PROCESSING" in the subject line of the email. Tanya Maurer [e-mail] Josh Plant [e-mail] SOCCOM Data Management MBARI 7700 Sandholdt Road Moss Landing, CA 95039

本.zip压缩档案包含由南大洋碳与气候观测与建模（Southern Ocean Carbon and Climate Observation and Modeling, SOCCOM）项目部署的生物地球化学剖面浮标的质量控制（Quality Control, QC）数据。这些数据由蒙特雷湾水族馆研究所（Monterey Bay Aquarium Research Institute, MBARI）的SOCCOM数据管理团队处理完成。部分早期档案可能包含额外的华盛顿大学/MBARI浮标数据，此类浮标部署于SOCCOM阵列之外。

格式说明：本文档内的ASCII文件均适配海洋数据查看器（Ocean Data View, ODV）。ODV可从https://odv.awi.de/ 免费获取。此外，每个.zip档案中均附带Matlab函数，用于将.txt文件解析为Matlab中的数据结构（详见get_FloatViz_data.m）。请注意，本.zip档案内的数据文件为截至文件名标注日期、MBARI处理的所有SOCCOM浮标数据的快照。因此，需注意：自该快照生成之日起，可能已出现处理更新（**进而导致数据变更**）。如需获取最新数据（每4小时更新一次），请访问ftp://ftp.mbari.org/pub/SOCCOM/FloatVizData/ 或 http://www.mbari.org/science/upper-ocean-systems/chemical-sensor-group/floatviz/

备用格式：每个ODV文本文件均附带NetCDF与Matlab格式文件。Matlab格式文件将加载为名为FloatViz的结构体，其中ODV参数名称即为该结构体的字段名。NetCDF格式的结构与ARGO浮标（ARGO Float）NetCDF格式类似，但其参数名称与ODV文本文件中的参数名称保持一致。除ARGO剖面使用的质量控制标记字符串外，NetCDF文件中还附带了一组质量控制标记数组，以方便编程使用。

质量控制文档：SOCCOM浮标数据的质量控制（QC）工作由MBARI的SOCCOM数据管理人员定期开展。目前，质量控制通知邮件会定期发送，以告知用户特定浮标的QC更新及/或传感器校准信息。近期处理更新的相关说明也包含在内。本快照生成之日起的所有QC邮件均包含在每个可下载的zip档案中。

参数说明：有关浮标标识、传感器阵列、数据参数及质量控制的详细信息，请参阅文件头部的描述。2017年1月1日之后生成的快照包含总碱度估算值，以及基于三种算法（LIAR、MLR或CANYON）之一推导得到的溶解无机碳（Dissolved Inorganic Carbon, DIC）与分压二氧化碳（pCO₂）相关碳参数。未搭载pH传感器的浮标，其对应数据文件中将不包含此类额外参数，详细信息请参阅文件头部。此外，上述网址中的文件将包含通过观测pH与LIAR方法估算的总碱度推导得到的碳参数。

分辨率说明：本档案包含低分辨率或高分辨率数据。数据格式由文件夹名称定义：SOCCOM_LoResQC_METHOD_ddmmmyyyy 或 SOCCOM_HiResQC_METHOD_ddmmmyyyy（其中METHOD为LIAR、MLR或CANYON）。请注意，对于APEX浮标，低分辨率文件仅报告生物地球化学传感器采样深度处的数据，而高分辨率文件则将此类低分辨率数据与更高分辨率的压力、温度与盐度数据（在上1000米范围内每2米采样一次）进行合并。需注意：由于通过将低分辨率采样数据插入高分辨率采样结构来合并两种独立的采样方案，高分辨率文件可能包含多组具有重复压力值的采样数据。对于NAVIS浮标，除硝酸盐外的所有生物地球化学传感器在上1000米范围内每2米采样一次，且所有数据均包含在“LoResQC”文件中（无“HiResQC”文件）。

免责声明：本数据按“现状”提供。我们尽力提供高质量、完整的数据，但不对数据本身或推导参数所用算法中存在的错误做出任何保证。用户需自行确认数据是否符合自身需求。但若您发现数据中存在任何差异，请联系如下联系人，我们将尽力修正。

联系方式：请将所有数据差异、问题或疑虑发送至以下联系人，并在邮件主题中注明"FLOATVIZ SNAPSHOT PROCESSING"。
坦尼娅·莫勒（Tanya Maurer）：[e-mail]
乔希·普兰特（Josh Plant）：[e-mail]
SOCCOM数据管理团队
MBARI
7700 Sandholdt Road
莫斯兰丁，加利福尼亚州 95039