SOCCOM float data - Snapshot 2022-05-19
LIAR - Low resolution data
LIAR - High resolution data
CANYON - Low resolution data
CANYON - High resolution data
- Cite This Work
Johnson, Kenneth S.; Riser, Stephen C.; Talley, Lynne D.; Sarmiento, Jorge L.; Swift, Dana D.; Plant, Josh N.; Maurer, Tanya L.; Key, Robert M.; Carter, Brendan R.; Williams, Nancy L.; Dickson, Andrew G.; Schofield, O. (2022). SOCCOM float data - Snapshot 2022-05-19. In Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0MC905G
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. Additional University of Washington/MBARI floats deployed outside of the SOCCOM array have also been included in the archive. Note that the Global Ocean Biogeochemistry Array project is underway and floats from within this program will be archived with SOCCOM data until further notice. Data for all floats were processed by the SOCCOM float data management team at the Monterey Bay Aquarium Research Institute (MBARI). A comprehensive listing of floats processed by MBARI (including internal floatID, WMOID, float platform type, and program) is included within each archive starting with the May2021 archive. Also note that naming of all processed files is done by WMOID, starting with the May2021 archive. Previously, files within each archive were named by internal float-IDs used at MBARI. Those internal float-IDs (and their character basin-identifiers) are now obsolete.
The ascii files contained herein were formatted to be compatible with Ocean Data View (ODV). Character encoding is UTF-8. 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:
Delayed-mode quality control (DMQC) of SOCCOM biogeochemical float data is performed routinely by SOCCOM data managers at MBARI following Maurer et al (2021), doi:10.3389/fmars.2021.683207. QC notification emails are currently being sent out periodically to inform users of key updates to processing, QC and/or sensor calibrations for specific floats. 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 two algorithms (LIAR 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. All carbonate system variables calculated with CO2SYS for Matlab (Sharp et al., 2020; see also Lewis and Wallace 1998) used the following conditions: pH was reported on the total scale. K1 and K2 dissociation constants were from Lueker et al., 2000, doi:10.1016/S0304-4203(00)00022-0. The KSO4 dissociation constant was from Dickson, 1990, doi: 10.1016/0021-9614(90)90074-Z. The KF dissociation constant was from Perez and Fraga 1987, doi: 10.1016/0304-4203(87)90036-3. The borate to salinity ratio was from Lee et al., 2010, doi:10.1016/j.gca.2009.12.027. Silicate and Phosphate were not measured by the float, but estimates based on Redfieldian ratios improved the carbonate system estimates. If a nitrate value was considered to be of good quality silicate = nitrate*2.5 and phosphate = nitrate/16, otherwise the best estimate for both was considered to be 0. When pCO2 was estimated from TALK_LIAR and pHinsitu, a bias was first added to pHinsitu following Williams et al., 2017, doi: 10.1002/2016GB005541, section 3.4, equation 3. This correction is not necessary for DIC and DIC is computed with the reported pH and the TALK_LIAR value.
This archive contains either low resolution or high resolution data. The format is defined by the folder name: SOCCOM_LoResQC_METHOD_ddmmmyyy or SOCCOM_HiResQC_METHOD_ddmmmyyyy (where METHOD = LIAR 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. Starting with the Dec2020 snapshot archive, all Navis float data is contained in both the LoRes and HiRes archive (per user request).
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 email@example.com
Josh Plant firstname.lastname@example.org
SOCCOM/GO-BGC 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.
This snapshot includes data from two programs: SOCCOM (Southern Ocean Carbon and Climate Observations and Modeling) and GO-BGC (Global Ocean Biogeochemistry Array).
- 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, with extension NSF OPP-1936222), and by the Global Ocean Biogeochemistry Array (GO-BGC) Project funded by the National Science Foundation, Division of Ocean Sciences (NSF OCE-1946578), 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, https://www.ocean-ops.org/board?t=argo)". In addition, users should reference the appropriate SOCCOM DOI, as listed on each page under Cite This Work.
View formats within this collection
- Related Resources
- Andrew G Dickson (1990). Standard potential of the reaction: AgCl(s) + 12H2(g) = Ag(s) + HCl(aq), and and the standard acidity constant of the ion HSO4− in synthetic sea water from 273.15 to 318.15 K. The Journal of Chemical Thermodynamics 22(2):113-127. https://doi.org/10.1016/0021-9614(90)90074-Z
- Fiz F Perez, F Fraga (1987). Association constant of fluoride and hydrogen ions in seawater. Marine Chemistry 21(2):161-168. https://doi.org/10.1016/0304-4203(87)90036-3
- Kitack Lee, Tae-Wook Kim, Robert H. Byrne, Frank J. Millero, Richard A. Feely, Yong-Ming Liu (2010). The universal ratio of boron to chlorinity for the North Pacific and North Atlantic oceans. Geochimica et Cosmochimica Acta 74(6):1801-1811. https://doi.org/10.1016/j.gca.2009.12.027
- Lewis, Ernie; Wallace, Doug (1998, February). Program Developed for CO2 System Calculations (ORNL/CDIAC-105, Environmental Sciences Division Publication No. 4735). Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory. Retrieved from: https://www.ncei.noaa.gov/access/ocean-carbon-data-system/oceans/CO2SYS/cdiac105.pdf
- Maurer TL, Plant JN and Johnson KS (2021). Delayed-Mode Quality Control of Oxygen, Nitrate, and pH Data on SOCCOM Biogeochemical Profiling Floats. Front. Mar. Sci. 8:683207. https://doi.org/10.3389/fmars.2021.683207
- Sharp, Jonathan D.; Pierrot, Denis; Humphreys, Matthew P.; Epitalon, Jean-Marie; Orr, James C.; Lewis, Ernie R.; Wallace, Douglas W.R. (2020). CO2SYSv3 for MATLAB (v3.0.1). Zenodo. https://doi.org/10.5281/zenodo.3952803
- Timothy J Lueker, Andrew G Dickson, Charles D Keeling (2000). Ocean pCO2 calculated from dissolved inorganic carbon, alkalinity, and equations for K1 and K2: validation based on laboratory measurements of CO2 in gas and seawater at equilibrium. Marine Chemistry 70(1–3):105-119. https://doi.org/10.1016/S0304-4203(00)00022-0
- Williams, N. L., et al. (2017), Calculating surface ocean pCO2 from biogeochemical Argo floats equipped with pH: An uncertainty analysis, Global Biogeochem. Cycles, 31, 591– 604. https://doi.org/10.1002/2016GB005541
- GO-BGC Publications list: https://www.go-bgc.org/resources/publications
- GO-BGC website (go-bgc.org)
- SOCCOM Publications list: https://soccom.princeton.edu/content/soccom-publications
- SOCCOM website (soccom.princeton.edu)
- Rights Holder
- UC Regents
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