SOCCOM float data - Snapshot 2019-03-12
LIAR - Low resolution data
LIAR - High resolution data
MLR - Low resolution data
MLR - High resolution data
CANYON - Low resolution data
CANYON - High resolution data
- Cite This Work
Johnson, Kenneth S.; Riser, Stephen C.; Boss, Emmanuel S.; Talley, Lynne D.; Sarmiento, Jorge L.; Swift, Dana D.; Plant, Josh N.; Maurer, Tanya L.; Key, Robert M.; Williams, Nancy L.; Wanninkhof, Richard H.; Dickson, Andrew G.; Feely, Richard A.; Russell, Joellen L. (2019). SOCCOM float data - Snapshot 2019-03-12. In Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive. UC San Diego Library Digital Collections. https://doi.org/10.6075/J01G0JKT
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.
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.
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.
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).
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.
Please report any discrepancies, problems or concerns to the following and include "FLOATVIZ SNAPSHOT PROCESSING" in the subject line of the email.
Tanya Maurer firstname.lastname@example.org
Josh Plant email@example.com
SOCCOM Data Management
7700 Sandholdt Road
Moss Landing, CA 95039
- Scope And Content
For the latest snapshot of the float data, see the Related Resource section on the Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive landing page.
- Creation Date
- Date Issued
- Research Team Members
Authors using SOCCOM float data should acknowledge that "Data were collected and made freely available by the Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Project funded by the National Science Foundation, Division of Polar Programs (NSF PLR-1425989), supplemented by NASA, and by the International Argo Program and the NOAA programs that contribute to it. The Argo Program is part of the Global Ocean Observing System (https://doi.org/10.17882/42182, http://argo.jcommops.org)". In addition, users should reference the appropriate SOCCOM snapshot DOI, as listed on this page under Cite This Work.
- Related Resource
- Rights Holder
- UC Regents
Under copyright (US)
Use: This work is available from the UC San Diego Library. This digital copy of the work is intended to support research, teaching, and private study.
Constraint(s) on Use: This work is protected by the U.S. Copyright Law (Title 17, U.S.C.). Use of this work beyond that allowed by "fair use" or any license applied to this work requires written permission of the copyright holder(s). Responsibility for obtaining permissions and any use and distribution of this work rests exclusively with the user and not the UC San Diego Library. Inquiries can be made to the UC San Diego Library program having custody of the work.
- Digital Object Made Available By
Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp)
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