SOCCOM float data - Snapshot 2016-11-28. In Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive.

Abstract

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 Lynne Talley has provided alternate formats, NetCDF and Matlab, for the ODV text data. 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. 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_ddmmmyyy or SOCCOM_HiResQC_ddmmmyyyy. 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 which is sampled every two meters in the upper 1000 meters. 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 tmaurer@mbari.org Josh Plant jplant@mbari.org SOCCOM Data Management MBARI 7700 Sandholdt Road Moss Landing, CA 95039