Quick-Links and Downloads for
MBARI Quality Controlled FloatViz Data

------------------------------- NEAR REAL TIME DATA DOWNLOADS -------------------------------

For the most up-to-date SOCCOM float data, processed every 4 hours by the SOCCOM Data Management team at the Monterey Bay Aquarium Research Institute (MBARI) , visit ftp://ftp.mbari.org/pub/SOCCOM/FloatVizData/. Quick links to various datasets available on this ftp site are listed in the table below. Note that this ftp site also includes data for floats deployed outside of the SOCCOM array.
Link to
Low Resolution
ODVtext format
single profiles 
Link to
High Resolution
ODV text format
single profiles 
LRQC_LIAR HRQC_LIAR
LRQC_MLR HRQC_MLR
LRQC_CANYON HRQC_CANYON

The ODV-compatible text files outlined above are also available in NetCDF and Matlab formats. These are updated on Tuesday mornings and are provided as .zip files in the table below. Date in filename is YYYYMMDD.
2019-03-12 netcdf file variable attributes "missing_value" changed from character to float.
2019-07-15 netcdf dimension names changed. REFERENCE_DATE_TIME variable added.
2020-03-03 Added a README, similar to the README in the Snapshot file, to each downloaded file. Describes files and processing.
Download
Low Resolution
ODVtext format
updated Monday Mornings 
Download
Low Resolution
NetCDF format
updated Monday Mornings 
Download
Low Resolution
Matlab format
updated Monday Mornings 
SOCCOM_LRQC_LIAR_odvtxt_20200526.zip SOCCOM_LRQC_LIAR_netcdf_20200526.zip SOCCOM_LRQC_LIAR_matlab_20200526.zip
SOCCOM_LRQC_MLR_odvtxt_20200526.zip SOCCOM_LRQC_MLR_netcdf_20200526.zip SOCCOM_LRQC_MLR_matlab_20200526.zip
SOCCOM_LRQC_CANYON_odvtxt_20200526.zip SOCCOM_LRQC_CANYON_netcdf_20200526.zip SOCCOM_LRQC_CANYON_matlab_20200526.zip

Download
High Resolution
ODVtext format
updated Monday Mornings 
Download
High Resolution
NetCDF format
updated Monday Mornings 
Download
High Resolution
Matlab format
updated Monday Mornings 
SOCCOM_HRQC_LIAR_odvtxt_20200526.zip SOCCOM_HRQC_LIAR_netcdf_20200526.zip SOCCOM_HRQC_LIAR_matlab_20200526.zip
SOCCOM_HRQC_MLR_odvtxt_20200526.zip SOCCOM_HRQC_MLR_netcdf_20200526.zip SOCCOM_HRQC_MLR_matlab_20200526.zip
SOCCOM_HRQC_CANYON_odvtxt_20200526.zip SOCCOM_HRQC_CANYON_netcdf_20200526.zip SOCCOM_HRQC_CANYON_matlab_20200526.zip




------------------------------- QUARTERLY SNAPSHOT ARCHIVES - Links to DOI -------------------------------

Snapshot Date
and Description
Link to DOI, to download Hi and Lo Resolution
ODVtext, NetCDF and Matlab formats 
03Oct2016 doi:10.6075/J0JH3J44
28Nov2016
The following are snapshots of the entire SOCCOM/UW MBARI float data set used for a JGR special issue.
doi:10.6075/J0DR2SDD
28Dec2016
Entire SOCCOM/UW MBARI float data set used for Williams et al. paper (doi:10.1002/2016GB005541).
doi:10.6075/J0QC01DJ
08Mar2017
Entire(Floats_*.zip) or SOCCOM(SOCCOM_*.zip) float data set. May include estimated TALK, and derived DIC,pCO2.
doi:10.6075/J09021PC
06Jun2017
SOCCOM float data set. Include estimated TALK, and derived DIC,pCO2 for methods LIAR, MLR, CANYON.
doi:10.6075/J0348H8K
05Sep2017
SOCCOM float data set. Include estimated TALK, and derived DIC,pCO2 for methods LIAR, MLR, CANYON.
doi:10.6075/J0ZK5DMX
14Dec2017
SOCCOM float data set. Include QC Emails, estimated TALK, and derived DIC,pCO2 for methods LIAR, MLR, CANYON.
doi:10.6075/J0F769RR
06Mar2018
SOCCOM float data set. Include QC Emails, estimated TALK, and derived DIC,pCO2 for methods LIAR, MLR, CANYON.
doi:10.6075/J0PG1PX7
07Jun2018
SOCCOM float data set. Include QC Emails, estimated TALK, and derived DIC,pCO2 for methods LIAR, MLR, CANYON.
doi:10.6075/J0XP734D
12Sep2018
SOCCOM float data set. Include QC Emails, estimated TALK, and derived DIC,pCO2 for methods LIAR, MLR, CANYON.
doi:10.6075/J0QJ7FJP
31Dec2018
SOCCOM float data set. Include QC Emails, estimated TALK, and derived DIC,pCO2 for methods LIAR, MLR, CANYON.
doi:10.6075/J02J6968
12Mar2019
SOCCOM float data set. Include QC Emails, estimated TALK, and derived DIC,pCO2 for methods LIAR, MLR, CANYON.
doi:10.6075/J01G0JKT
24Jun2019
Entire SOCCOM/UW MBARI float data set. Include QC Emails, estimated TALK, and derived DIC,pCO2 for methods LIAR, MLR, CANYON.
doi:10.6075/J0GH9G8R
28Sep2019
Entire SOCCOM/UW MBARI float data set. Include QC Emails, estimated TALK, and derived DIC,pCO2 for methods LIAR, MLR, CANYON.
doi.org/10.6075/J0ZK5F25
22Dec2019
Entire SOCCOM/UW MBARI float data set. Include QC Emails, estimated TALK, and derived DIC,pCO2 for methods LIAR, MLR, CANYON.
doi.org/10.6075/J0NV9GM7
20Apr2020
Entire SOCCOM/UW MBARI float data set. Include QC Emails, estimated TALK, and derived DIC,pCO2 for methods LIAR, MLR, CANYON.
doi.org/10.6075/J0KK996D




-------------------------------------- REFERENCE -------------------------------------------------------

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 ( http://doi.org/10.17882/42182,  http://argo.jcompos.org )

LowRes files are 30 Mbytes and only have data at the depths where chemistry is sampled. HiRes files have CTD and some chemistry data at 2 m resolution in the upper 1000 m of the profile. Those archives are about 100 Mbytes.

Parameters that may be included in these files are: Pressure, Temperature, Salinity, Sigma_theta, Oxygen, OxygenSat, Nitrate, Chl_a, Chl_a_corr,b_bp700,b_bp_corr, POC, pHinsitu, pH25C, b_bp532, CDOM, and three methods for calculating TALK, DIC, and pCO2.

Calibration for BGC sensors follows methods described in: Johnson, K. S., J. N. Plant, L. J. Coletti, H. W. Jannasch, C. M. Sakamoto, S. C. Riser, D. D. Swift, N. L. Williams, E. Boss, N. Haëntjens, L. D. Talley, and J. L. Sarmiento, 2017. Biogeochemical sensor performance in the SOCCOM profiling float array. J. Geophys. Res. Oceans, 122, 6416-6436. doi:10.1002/2017JC012838

Three different methods (LIAR, CANYON, MLR) are used in calculating TALK, DIC, and pCO2. These are referenced below. For a description of uncertainties associated with the derived carbon parameters see Williams, N. L., et al. (2017), Calculating surface ocean pCO2 from biogeochemical Argo floats equipped with pH: An uncertainty analysis, Global Biogeochem. Cycles, 31, doi:10.1002/2016GB005541

LIAR:
        Carter, B. R., N. L. Williams, A. R. Gray, and R. A. Feely (2016), Locally interpolated alkalinity regression for global alkalinity estimation, Limnol. Oceanogr. Methods, 14(4), 268-277, doi:10.1002/lom3.10087.
        Carter, B. R., R. A. Feely, N. L. Williams, A.G. Dickson, M.B.Fong, Y.Takeshita (2018), Updated methods for global locally interpolated estimation of alkalinity, pH, and nitrate, Limnol. Oceanogr. Methods, 16(2), 119-131, doi:10.1002/lom3.10232.

CANYON:
        Sauzède, R., Claustre, H., Pasqueron de Fommervault, O., Bittig, H., Gattuso, J.-P., Legendre, L. and K. Johnson, 2017. Estimates of water-column nutrients concentration and carbonate system parameters in the global ocean: A novel approach based on neural networks. Frontiers in Marine Science-Ocean Observation,4, 128, doi:10.3389/fmars.2017.00128
        Bittig HC, Steinhoff T, Claustre H, Fiedler B, Williams NL, Sauzède, R, Körtzinger A and Gattuso J-P (2018) An Alternative to Static Climatologies: Robust Estimation of Open Ocean CO2 Variables and Nutrient Concentrations From T, S, and O2 Data Using Bayesian Neural Networks. Front. Mar. Sci. 5:328. doi:10.3389/fmars.2018.00328

MLR:
       pH, Nitrate, DIC: Williams, N.L., L. W. Juranek, K.S. Johnson, R. A. Feely, S.C. Riser, L.D. Talley, J.L. Russell, J.L. Sarmiento, R. Wanninkhof, 2016. Empirical Algorithms to Estimate Water Column pH in the Southern Ocean. Geophys. Res. Lett., 43, doi:10.1002/2016GL68359
       TALK: Williams, N. L., et al. (2017), Calculating surface ocean pCO2 from biogeochemical Argo floats equipped with pH: An uncertainty analysis, Global Biogeochem. Cycles, 31, doi:10.1002/2016GB005541