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Metadata Report for BODC Series Reference Number 2041559


Metadata Summary

Data Description

Data Category CTD or STD cast
Instrument Type
NameCategories
Sea-Bird SBE 43 Dissolved Oxygen Sensor  dissolved gas sensors
Sea-Bird SBE 911plus CTD  CTD; water temperature sensor; salinity sensor
Sea-Bird SBE 3plus (SBE 3P) temperature sensor  water temperature sensor
Sea-Bird SBE 4C conductivity sensor  salinity sensor
Paroscientific Digiquartz depth sensors  water pressure sensors
WET Labs {Sea-Bird WETLabs} ECO FLNTU(RT)D combined fluorometer and turbidity sensor  fluorometers; optical backscatter sensors
Instrument Mounting lowered unmanned submersible
Originating Country United Kingdom
Originator Dr Miguel Morales Maqueda
Originating Organization National Oceanography Centre, Liverpool
Processing Status banked
Online delivery of data Download available - Ocean Data View (ODV) format
Project(s) NE/I027010/1
 

Data Identifiers

Originator's Identifier SO238-CTD-09
BODC Series Reference 2041559
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2015-02-20 21:46
End Time (yyyy-mm-dd hh:mm) -
Nominal Cycle Interval 1.0 decibars
 

Spatial Co-ordinates

Latitude 1.62317 S ( 1° 37.4' S )
Longitude 81.45300 W ( 81° 27.2' W )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth 4.0 m
Maximum Sensor or Sampling Depth 3405.0 m
Minimum Sensor or Sampling Height -1.0 m
Maximum Sensor or Sampling Height 3400.0 m
Sea Floor Depth 3404.0 m
Sea Floor Depth Source CRREP
Sensor or Sampling Distribution Variable common depth - All sensors are grouped effectively at the same depth, but this depth varies significantly during the series
Sensor or Sampling Depth Datum Instantaneous - Depth measured below water line or instantaneous water body surface
Sea Floor Depth Datum Instantaneous - Depth measured below water line or instantaneous water body surface
 

Parameters

BODC CODERankUnitsTitle
ACYCAA011DimensionlessSequence number
CNDCST011Siemens per metreElectrical conductivity of the water body by CTD
CPHLPR011Milligrams per cubic metreConcentration of chlorophyll-a {chl-a CAS 479-61-8} per unit volume of the water body [particulate >unknown phase] by in-situ chlorophyll fluorometer
DOXYSU011Micromoles per litreConcentration of oxygen {O2 CAS 7782-44-7} per unit volume of the water body [dissolved plus reactive particulate phase] by Sea-Bird SBE 43 sensor and no calibration against sample data
OXYSSU011PercentSaturation of oxygen {O2 CAS 7782-44-7} in the water body [dissolved plus reactive particulate phase] by Sea-Bird SBE 43 sensor and computation from concentration using Benson and Krause algorithm
POTMCV011Degrees CelsiusPotential temperature of the water body by computation using UNESCO 1983 algorithm
PRESPR011DecibarsPressure (spatial coordinate) exerted by the water body by profiling pressure sensor and correction to read zero at sea level
PSALST011DimensionlessPractical salinity of the water body by CTD and computation using UNESCO 1983 algorithm
SIGTPR011Kilograms per cubic metreSigma-theta of the water body by CTD and computation from salinity and potential temperature using UNESCO algorithm
SVELCA011Metres per secondSound velocity in the water body by computation from salinity and temperature using UNESCO algorithm
TEMPST011Degrees CelsiusTemperature of the water body by CTD or STD
TURBPR011Nephelometric Turbidity UnitsTurbidity of water in the water body by in-situ optical backscatter measurement and laboratory calibration against formazin

Definition of Rank

  • Rank 1 is a one-dimensional parameter
  • Rank 2 is a two-dimensional parameter
  • Rank 0 is a one-dimensional parameter describing the second dimension of a two-dimensional parameter (e.g. bin depths for moored ADCP data)

Problem Reports

No Problem Report Found in the Database


Data Access Policy

Open Data supplied by Natural Environment Research Council (NERC)

You must always use the following attribution statement to acknowledge the source of the information: "Contains data supplied by Natural Environment Research Council."


Narrative Documents

Sea-Bird Dissolved Oxygen Sensor SBE 43 and SBE 43F

The SBE 43 is a dissolved oxygen sensor designed for marine applications. It incorporates a high-performance Clark polarographic membrane with a pump that continuously plumbs water through it, preventing algal growth and the development of anoxic conditions when the sensor is taking measurements.

Two configurations are available: SBE 43 produces a voltage output and can be incorporated with any Sea-Bird CTD that accepts input from a 0-5 volt auxiliary sensor, while the SBE 43F produces a frequency output and can be integrated with an SBE 52-MP (Moored Profiler CTD) or used for OEM applications. The specifications below are common to both.

Specifications

Housing Plastic or titanium
Membrane

0.5 mil- fast response, typical for profile applications

1 mil- slower response, typical for moored applications

Depth rating

600 m (plastic) or 7000 m (titanium)

10500 m titanium housing available on request

Measurement range 120% of surface saturation
Initial accuracy 2% of saturation
Typical stability 0.5% per 1000 h

Further details can be found in the manufacturer's specification sheet.

SO238 CTD Instrumentation

The Sea-Bird Scientific SBE911plus CTD was mounted on a rosette with a SBE32 carousel water sampler and 24 10-litre Niskin bottles. The CTD was fitted with the following scientific sensors:

Sensor Serial Number Calibration Date Comments
Sea-Bird SBE 911plus CTD - - -
Sea-Bird SBE 32 Carousel Water Sampler - - -
Paroscientific Digiquartz Pressure Sensor 1184 23-Dec-2013 -
Sea-Bird SBE 3plus (SBE 3P) temperature sensor 03P-5708 20-Feb-2014 Primary sensor
Sea-Bird SBE 3plus (SBE 3P) temperature sensor 03P-5938 01-Mar-2014 Secondary sensor
Sea-Bird SBE 4C conductivity sensor 04C-4261 13-Feb-2014 Primary sensor
Sea-Bird SBE 4C conductivity sensor 04C-4262 13-Feb-2014 Secondary sensor
Sea-Bird SBE 43 Dissolved Oxygen Sensor 43-2811 22-Feb-2014 Primary
Sea-Bird SBE 43 Dissolved Oxygen Sensor 43-2813 22-Feb-2014 Secondary
WETLabs Deep Chlorophyll & Turbidity Sensor FLNTURTD-3332 16-Dec-2013 -

Sea-Bird Electronics SBE 911 and SBE 917 series CTD profilers

The SBE 911 and SBE 917 series of conductivity-temperature-depth (CTD) units are used to collect hydrographic profiles, including temperature, conductivity and pressure as standard. Each profiler consists of an underwater unit and deck unit or SEARAM. Auxiliary sensors, such as fluorometers, dissolved oxygen sensors and transmissometers, and carousel water samplers are commonly added to the underwater unit.

Underwater unit

The CTD underwater unit (SBE 9 or SBE 9 plus) comprises a protective cage (usually with a carousel water sampler), including a main pressure housing containing power supplies, acquisition electronics, telemetry circuitry, and a suite of modular sensors. The original SBE 9 incorporated Sea-Bird's standard modular SBE 3 temperature sensor and SBE 4 conductivity sensor, and a Paroscientific Digiquartz pressure sensor. The conductivity cell was connected to a pump-fed plastic tubing circuit that could include auxiliary sensors. Each SBE 9 unit was custom built to individual specification. The SBE 9 was replaced in 1997 by an off-the-shelf version, termed the SBE 9 plus, that incorporated the SBE 3 plus (or SBE 3P) temperature sensor, SBE 4C conductivity sensor and a Paroscientific Digiquartz pressure sensor. Sensors could be connected to a pump-fed plastic tubing circuit or stand-alone.

Temperature, conductivity and pressure sensors

The conductivity, temperature, and pressure sensors supplied with Sea-Bird CTD systems have outputs in the form of variable frequencies, which are measured using high-speed parallel counters. The resulting count totals are converted to numeric representations of the original frequencies, which bear a direct relationship to temperature, conductivity or pressure. Sampling frequencies for these sensors are typically set at 24 Hz.

The temperature sensing element is a glass-coated thermistor bead, pressure-protected inside a stainless steel tube, while the conductivity sensing element is a cylindrical, flow-through, borosilicate glass cell with three internal platinum electrodes. Thermistor resistance or conductivity cell resistance, respectively, is the controlling element in an optimized Wien Bridge oscillator circuit, which produces a frequency output that can be converted to a temperature or conductivity reading. These sensors are available with depth ratings of 6800 m (aluminium housing) or 10500 m (titanium housing). The Paroscientific Digiquartz pressure sensor comprises a quartz crystal resonator that responds to pressure-induced stress, and temperature is measured for thermal compensation of the calculated pressure.

Additional sensors

Optional sensors for dissolved oxygen, pH, light transmission, fluorescence and others do not require the very high levels of resolution needed in the primary CTD channels, nor do these sensors generally offer variable frequency outputs. Accordingly, signals from the auxiliary sensors are acquired using a conventional voltage-input multiplexed A/D converter (optional). Some Sea-Bird CTDs use a strain gauge pressure sensor (Senso-Metrics) in which case their pressure output data is in the same form as that from the auxiliary sensors as described above.

Deck unit or SEARAM

Each underwater unit is connected to a power supply and data logging system: the SBE 11 (or SBE 11 plus) deck unit allows real-time interfacing between the deck and the underwater unit via a conductive wire, while the submersible SBE 17 (or SBE 17 plus) SEARAM plugs directly into the underwater unit and data are downloaded on recovery of the CTD. The combination of SBE 9 and SBE 17 or SBE 11 are termed SBE 917 or SBE 911, respectively, while the combinations of SBE 9 plus and SBE 17 plus or SBE 11 plus are termed SBE 917 plus or SBE 911 plus.

Specifications

Specifications for the SBE 9 plus underwater unit are listed below:

Parameter Range Initial accuracy Resolution at 24 Hz Response time
Temperature -5 to 35°C 0.001°C 0.0002°C 0.065 sec
Conductivity 0 to 7 S m-1 0.0003 S m-1 0.00004 S m-1 0.065 sec (pumped)
Pressure 0 to full scale (1400, 2000, 4200, 6800 or 10500 m) 0.015% of full scale 0.001% of full scale 0.015 sec

Further details can be found in the manufacturer's specification sheet.

WETLabs ECO FLNTU(RT)D combined fluorometer and turbidity sensor

This optical sensor is available in combinations of backscattering, turbidity, and fluorescence measurements. It records in real-time and does not store data. ECOs feature optional active anti-fouling and internal batteries for long-term deployments. This instrument has a user-selectable sample rate up to 8 Hz The fluorometer can typically measure pigment concentrations in the range 0-75 ug/l, with a sensitivity of 0.037 ug/l, at wavelengths of 470 or 695 nm. The turbidity sensor can measure within the range 0-200 NTU, with a sensitivity of 0.098 NTU, at a wavelength of 700 nm. The instrument is stable over a temperature range of 0-30 degC and is rated to a depth of 6000 m.

For more information, please see this document: https://www.bodc.ac.uk/data/documents/nodb/pdf/datasheet_ECO_FLNTU.pdf

SO238 BODC CTD Data Processing

The data arrived at BODC in ASCII format representing the data collected from CTDs deployed at different stations along the Panama Basin during cruise SO238. No changes were made to the data themselves. The following table shows the mapping of variables within the ASCII data file to appropriate BODC parameter codes:

Originator's Variable Originator's Units BODC Parameter Code BODC Units Comment
P dbar PRESPR01 dbar -
T °C TEMPST01 °C -
C mS/cm CNDCST01 S/m Conversion of /10 applied.
S PSU PSALST01 Dimensionless -
O ?mol/L DOXYSU01 ?mol/L -
SS m/s SVELCA01 m/s -
TUR NTU TURBPR01 NTU -
FL mg/m3 CPHLPR01 mg/m3 -
- - POTMCV01 °C Parameter derived during BODC transfer
- - SIGTPR01 Kg/m3 Parameter derived during BODC transfer
- - OXYSSU01 % Parameter derived during BODC transfer

The reformatted data were visualised using in-house software. Any suspect data were flagged, using the BODC quality control flags.

SO238 Originator CTD Data Processing

Sampling Strategy

A total of 44 full depth CTD casts were deployed during OSCAR cruise SO238. The first cast, on the 8th of February 2015 was a test cast.

Data Processing

CTD data processing procedures were as follows:

  • Processing was carried out using Sea-Bird Electronics data processing software (Version Seasave V 7.23.1).
  • The raw .hex files were converted to .cnv and .ros files.
  • The pressure data were filtered by a low-pass filter of 0.15 seconds.
  • The conductivity data were filtered to remove conductivity cell thermal mass effects (alpha=0.03, 1/beta=7).
  • Bad scans marked by pressure slowdowns (slower than the fixed minimal velocity of 0.25m/s) or pressure reversal, were given a flag value of -9.990e-29. All of the data were then averaged over 1 dbar bins.
  • One of each temperature, salinity, and conductivity channels were selected.
  • Oxygen concentration values were converted to umol/L.
  • Sound velocity was derived using the UNESCO algorithm.
  • Data was split into up and down cast. Only down cast datafiles were kept. Tow-yo data were split into files, one for each down cast.
  • Ascii files created from the .cnv files.

CTD Conductivity Calibration

The two conductivity sensors were calibrated using water bottle samples that were taken at each cast at discrete intervals: around 100 m apart for the shallower levels, and 250 m to 500 m apart at the deeper levels. In total, approximately 720 water samples were analysed in the lab using Autosalinograph for conductivity comparison with CTD sensor measurements. Comparing the two CTD measured conductivities and the calibrated bottle conductivity estimates, the outliers were identi?ed as values that differed more than 0.01 mS/cm. The ?nal CTD calibration used 685 "good" data points, after removing outliers. The linear regression of autosal calibrated data versus CTD uncalibrated data revealed: Ccalibr = 1.000293 · Cinsitu1 - 0.0329 mS/cm for CTD sensor 1, and Ccalibr = 1.000052 · Cinsitu2+ 0.001792 mS/cm for CTD sensor 2. During the cruise SO238, the salinometer o?set reading was false and was set to zero. The expectation is that by introducing zero o?set at each measurement of the salinograph reading, the precision of the measurement will have gotten worse, but it did not a?ect the accuracy of the measurement signi?cantly. A test of zero o?set was conducted with the data from a previous cruise,JC112, which revealed the di?erence between readings with the true and zero o?sets to be only 2x10? 4 mS/cm, which is one order smaller than the accuracy of the calibrated CTD measurement. Thus, the originators judge the calibration of SO238 CTD conductivity sensors to be of the same accuracy as of the JC112 cruise CTD conductivity sensors.

CTD Oxygen Calibration

During SO238 water samples were not taken for oxygen calibration and therefore no calibration has been applied to the oxygen data.

Reference

Morales Maqueda, M.A., 2015. Forschungsschiff Sonne Cruise SO238 06 February 2015 - 06 March 2015. Report on the second OSCAR survey in the Panama Basin: Physical oceanography, seismics, bathymetry and magnetotellurics.

Please see the JC112 data processing documentation for more information on how the JC112 data were calibrated.


Project Information

Oceanographic and Seismic Characterisation of heat dissipation and alteration by hydrothermal fluids at an Axial Ridge (OSCAR)

Background

The cooling of young oceanic crust is the main physical process responsible for removing heat from the solid Earth to the hydrosphere. Close to the mid-ocean ridge rapid cooling is dominated by hydrothermal circulation of seawater through the porous and fractured basalt crust. This hydrothermal fluid is then discharged into the ocean mainly along the ridge. Once in the ocean, released heated seawater mixes with the ambient cold water to form a plume, which provides a mechanism to lift the densest waters away from the bottom boundary layer. These waters are then more readily available for further mixing and heating as part of the global thermohaline circulation system.

The data collected as part of the interdisciplinary OSCAR project will be used to investigate the effects of heat loss and hydrothermal circulation in both the solid Earth and the ocean.

The aim is to:

  1. Characterise how heat from the interior of the Earth is transported across the crust into the ocean by hydrothermal flows
  2. Determine the impact the hydrothermal and geothermal fluxes have on the circulation of the abyssal ocean and on the evolution of the oceanic crust.

With this aim, the data will be used to derive a new integrated model of the ocean and hydrothermal circulations at active ocean ridges and ridge flanks. The model will be constrained by geophysical, geological, and physical oceanography data and include fluxes through a permeable seabed. These data and resultant models will set a new benchmark for integrated multi-physics experiments. They will result in a new understanding of the fluid and heat fluxes at ocean ridges and a better understanding of what geophysical and oceanographic data actually resolve in the context of an oceanic axial ridge setting. The result is also a predictive model that can be applied to similar ocean ridge systems world-wide.

Fieldwork

Data collection took place in the Panama Basin, bounded in the north-west by the Cocos Ridge, by the Carnegie Ridge in the south and by South and Central America in the east and north, respectively. Measurements were collected during RRS James Cook cruises JC112 and JC113 (05/12/2014 to 16/01/2015), RRS James Cook cruise JC114 (22/01/2015 to 08/03/2015) and RV Sonne cruise SO328 (06/02/2015 to 06/03/2015). Data were collected using Bottom Pressure Recorder, Acoustic Doppler Current Profiler (ADCP), Magnetotelluric Lander, CTD, Vertical Microstructure Profiler, Synthetic Aperture Radar, Ocean-bottom seismograph and Multibeam echosounder. Measurement of salinity, oxygen and helium were also made and zooplankton samples collected with vertical net casts.

Participants

  • Professor Richard W Hobbs (Principal Investigator - Parent Grant) Durham University
  • Professor Christine Peirce (Co-Investigator) Durham University
  • Professor Christopher J Ballentine (Co-Investigator) University of Oxford
  • Professor Joanna V Morgan (Co-Investigator) Imperial College London
  • Dr Miguel Morales Maqueda (Principal Investigator - Child Grant) Newcastle University
  • Dr David A Smeed (Co-Investigator - Child Grant) National Oceanography Centre
  • Dr Vincent CH Tong (Principal Investigator - Child Grant) Birkbeck College

Funding

This project was funded by Natural Environment Research Council parent grant NE/I027010/1 and child grants NE/I022868/1, NE/I022868/2, NE/I022957/1, and NE/I022957/2, entitled 'OSCAR - Oceanographic and Seismic Characterisation of heat dissipation and alteration by hydrothermal fluids at an Axial Ridge', with the former, parent grant led by Professor Richard W Hobbs, Durham University, and the latter child grants led by Dr Miguel Morales Maqueda, Newcastle University and Dr Vincent CH Tong, Birkbeck College.


Data Activity or Cruise Information

Cruise

Cruise Name SO238
Departure Date 2015-02-06
Arrival Date 2015-03-06
Principal Scientist(s)Miguel Angel Morales Maqueda (National Oceanography Centre, Liverpool)
Ship Sonne

Complete Cruise Metadata Report is available here


Fixed Station Information


No Fixed Station Information held for the Series


BODC Quality Control Flags

The following single character qualifying flags may be associated with one or more individual parameters with a data cycle:

Flag Description
Blank Unqualified
< Below detection limit
> In excess of quoted value
A Taxonomic flag for affinis (aff.)
B Beginning of CTD Down/Up Cast
C Taxonomic flag for confer (cf.)
D Thermometric depth
E End of CTD Down/Up Cast
G Non-taxonomic biological characteristic uncertainty
H Extrapolated value
I Taxonomic flag for single species (sp.)
K Improbable value - unknown quality control source
L Improbable value - originator's quality control
M Improbable value - BODC quality control
N Null value
O Improbable value - user quality control
P Trace/calm
Q Indeterminate
R Replacement value
S Estimated value
T Interpolated value
U Uncalibrated
W Control value
X Excessive difference

SeaDataNet Quality Control Flags

The following single character qualifying flags may be associated with one or more individual parameters with a data cycle:

Flag Description
0 no quality control
1 good value
2 probably good value
3 probably bad value
4 bad value
5 changed value
6 value below detection
7 value in excess
8 interpolated value
9 missing value
A value phenomenon uncertain
B nominal value
Q value below limit of quantification