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Metadata Report for BODC Series Reference Number 2012101


Metadata Summary

Data Description

Data Category Surface temp/sal
Instrument Type
NameCategories
WET Labs {Sea-Bird WETLabs} WETStar fluorometer  fluorometers
WET Labs {Sea-Bird WETLabs} C-Star transmissometer  transmissometers
Sea-Bird SBE 45 MicroTSG thermosalinograph  thermosalinographs; water temperature sensor; salinity sensor
Sea-Bird SBE 38 thermometer  water temperature sensor
Instrument Mounting research vessel
Originating Country United Kingdom
Originator Unknown
Originating Organization British Oceanographic Data Centre, Liverpool
Processing Status banked
Online delivery of data Download available - Ocean Data View (ODV) format
Project(s) NE/K011855/1
 

Data Identifiers

Originator's Identifier JC136_MCAL_NAVD_SURF
BODC Series Reference 2012101
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2016-05-14 08:00
End Time (yyyy-mm-dd hh:mm) 2016-06-22 09:47
Nominal Cycle Interval 60.0 seconds
 

Spatial Co-ordinates

Southernmost Latitude 49.85133 N ( 49° 51.1' N )
Northernmost Latitude 59.85417 N ( 59° 51.3' N )
Westernmost Longitude 14.00500 W ( 14° 0.3' W )
Easternmost Longitude 0.99350 W ( 0° 59.6' W )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth 5.5 m
Maximum Sensor or Sampling Depth 5.5 m
Minimum Sensor or Sampling Height -
Maximum Sensor or Sampling Height -
Sea Floor Depth -
Sea Floor Depth Source -
Sensor or Sampling Distribution Fixed common depth - All sensors are grouped effectively at the same depth which is effectively fixed for the duration of the series
Sensor or Sampling Depth Datum Approximate - Depth is only approximate
Sea Floor Depth Datum -
 

Parameters

BODC CODERankUnitsTitle
AADYAA011DaysDate (time from 00:00 01/01/1760 to 00:00 UT on day)
AAFDZZ011DaysTime (time between 00:00 UT and timestamp)
ACYCAA011DimensionlessSequence number
ALATGP011DegreesLatitude north relative to WGS84 by unspecified GPS system
ALONGP011DegreesLongitude east relative to WGS84 by unspecified GPS system
ATTNDR011per metreAttenuation (red light wavelength) per unit length of the water body by 25cm path length red light transmissometer
CNDCSG011Siemens per metreElectrical conductivity of the water body by thermosalinograph
CPHLUMTF1Milligrams per cubic metreConcentration of chlorophyll-a {chl-a CAS 479-61-8} per unit volume of the water body [particulate >unknown phase] by through-flow fluorometer plumbed into non-toxic supply and manufacturer's calibration applied
FVLTWS011VoltsRaw signal (voltage) of instrument output by linear-response chlorophyll fluorometer
POPTDR011PercentTransmittance (red light wavelength) per 25cm of the water body by 25cm path length red light transmissometer
PSALSU011DimensionlessPractical salinity of the water body by thermosalinograph and computation using UNESCO 1983 algorithm and NO calibration against independent measurements
TEMPHU011Degrees CelsiusTemperature of the water body by thermosalinograph hull sensor and NO verification against independent measurements
TMESSG011Degrees CelsiusTemperature of electrical conductivity measurement by thermosalinograph
TVLTZZ011VoltsRaw signal (voltage) of instrument output by transmissometer

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

RRS James Cook Cruise JC136 sea surface hydrography data quality report

Further to the data processing documentation, data quality issues concerning meteorology data were noted.

All parameters

Throughout the duration of data collection there were instances of equipment failure as well as periods where the systems were turned off. These gaps have been flagged.

Transmittance, Beam Transmission and Attenuance

These channels contained intermittent spiking which has been flagged where necessary.

Chlorophyll and Fluorescence

Flags have been placed in areas where readings are consistent for long periods due to the sensor output getting stuck.

The non-toxic, pumped seawater supply was switched on at 12:20 on 15/05/2016, and was turned off at 09:25 on 22/06/2016, towards the end of the cruise; all housing measurements recorded outside this time span were flagged. The supply was also switched off whilst in port at Stornoway from 05:45 on 03/06/2016 until 08:00 on 04/06/2016. The housing measurements were flagged, other then during a coinciding prolonged period of unrealistic values until Techsas froze and restarted at 05:32 on 04/06/2016, where these values were set to null.


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

SeaBird Digital Oceanographic Thermometer SBE38

The SBE38 is an ultra-stable thermistor that can be integrated as a remote temperature sensor with an SBE21 Thermosalinograph or an SBE 45 Micro TSG, or as a secondary temperature sensor with an SBE 16 plus, 16plus-IM, 16plus V2, 16plus-IM V2 or 19plus V2 SEACAT CTD.

Temperature is determined by applying an AC excitation to reference resistances and an ultra-stable aged thermistor. The reference resistor is a hermetically sealed VISHAY. AC excitation and ratiometric comparison using a common processing channel removes measurement errors due to parasitic thermocouples, offset voltages, leakage currents and gain errors.

The SBE38 can operate in polled sampling, where it takes one sample and transmits the data, or in continuous sampling.

Specifications

Depth rating up to 10500 m
Temperature range -5 to 35°C
Initial accuracy ± 0.001°C
Resolution 0.00025°C
Stability 0.001°C in 6 months
Response time 500 ms
Self-heating error < 200 µK

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

WET Labs WETStar Fluorometers

WET Labs WETStar fluorometers are miniature flow-through fluorometers, designed to measure relative concentrations of chlorophyll, CDOM, uranine, rhodamineWT dye, or phycoerythrin pigment in a sample of water. The sample is pumped through a quartz tube, and excited by a light source tuned to the fluorescence characteristics of the object substance. A photodiode detector measures the portion of the excitation energy that is emitted as fluorescence.

Specifications

By model:

  Chlorophyll WETStar CDOM WETStar Uranine WETStar Rhodamine WETStar Phycoerythrin WETStar
Excitation wavelength 460 nm 370 nm 485 nm 470 nm 525 nm
Emission wavelength 695 nm 460 nm 530 nm 590 nm 575 nm
Sensitivity 0.03 µg l-1 0.100 ppb QSD 1 µg l-1 - -
Range 0.03-75 µg l-1 0-100 ppb; 0-250 ppb 0-4000 µg l-1 - -

All models:

Temperature range 0-30°C
Depth rating 600 m
Response time 0.17 s analogue; 0.125 s digital
Output 0-5 VDC analogue; 0-4095 counts digital

Further details can be found in the manufacturer's specification sheet, and in the instrument manual.

WETLabs C-Star transmissometer

This instrument is designed to measure beam transmittance by submersion or with an optional flow tube for pumped applications. It can be used in profiles, moorings or as part of an underway system.

Two models are available, a 25 cm pathlength, which can be built in aluminum or co-polymer, and a 10 cm pathlength with a plastic housing. Both have an analog output, but a digital model is also available.

This instrument has been updated to provide a high resolution RS232 data output, while maintaining the same design and characteristics.

Specifications

Pathlength 10 or 25 cm
Wavelength 370, 470, 530 or 660 nm
Bandwidth

~ 20 nm for wavelengths of 470, 530 and 660 nm

~ 10 to 12 nm for a wavelength of 370 nm

Temperature error 0.02 % full scale °C-1
Temperature range 0 to 30°C
Rated depth

600 m (plastic housing)

6000 m (aluminum housing)

Further details are available in the manufacturer's specification sheet or user guide.

RRS James Cook JC136 surface hydrographic instrumentation

The sea surface hydrographical suite of sensors was fed by the pumped-seawater, non-toxic supply. The seawater intake was located approximately 5.5 m below the sea surface.

The following surface hydrology sensors were fitted:

Manufacturer Model Serial number Last manufacturer's
calibration date
Comments
WETLabs WETStar WS3S-248P 14/03/2016  
WETLabs C-Star CST-114 26/09/2014  
Sea-Bird SBE38 3854115-0490 08/10/2015  
Sea-Bird SBE45 TSG 4548881-0230 11/09/2015  

 

SeaBird MicroTSG Thermosalinograph SBE 45

The SBE45 MicroTSG is an externally powered instrument designed for shipboard measurement of temperature and conductivity of pumped near-surface water samples. The instrument can also compute salinity and sound velocity internally.

The MicroTSG comprises a platinum-electrode glass conductivity cell and a stable, pressure-protected thermistor temperature sensor. It also contains an RS-232 port for appending the output of a remote temperature sensor, allowing for direct measurement of sea surface temperature.

The instrument can operate in Polled, Autonomous and Serial Line Sync sampling modes:

  • Polled sampling: the instrument takes one sample on command
  • Autonomous sampling: the instrument samples at preprogrammed intervals and does not enter quiescence (sleep) state between samples
  • Serial Line Sync: a pulse on the serial line causes the instrument to wake up, sample and re-enter quiescent state automatically

Specifications

  Conductivity Temperature Salinity
Range 0 to 7 Sm-1 -5 to 35°C  
Initial accuracy 0.0003 Sm-1 0.002°C 0.005 (typical)
Resolution 0.00001 Sm-1 0.0001°C 0.0002 (typical)
Typical stability (per month) 0.0003 Sm-1 0.0002°C 0.003 (typical)

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

RRS James Cook JC136 surface hydrography data processing procedures

Originator's Data Processing

The data were logged by the TECHSAS (TECHnical and Scientific sensors Acquisition System) system into daily NetCDF files. The TECHSAS system is used as the main data logging system on NMF-SS operated reserach vessels. The daily TECHSAS NetCDF navigation and bathymetry files provided to BODC were used for BODC processing. Data were additionally logged into the RVS Level-C format files which have been archived at BODC. A portion of the data were then processed daily using the National Oceanography Centre MSTAR data procesing routines (mstar_version_v3).

Files delivered to BODC

Filename Content description Format Interval Start date/time (UTC) End date/time (UTC) Comments
*-*-Surf-JC-SM_JC1.SURFMETv2 Fluorescence and transmittance NetCDF 1 sec 13-May-2016 12:52:54 22-June-2016 09:46:35  
*-*-SBE45-SBE45_JC1.TSG Temperature, conductivity, salinity from sensors NetCDF 1 sec 13-May-2016 12:52:55 22-June-2016 09:46:34  

BODC Data Processing

The files were reformatted to BODC internal format using standard data banking procedures. The following table shows how the variables within the files were mapped to appropriate BODC parameter codes:

*-*-Surf-DY-SM_DY1.SURFMETv3

Originator's variable Originator's units Description BODC Code BODC Units Unit conversion Comments
fluo Volts Fluorometer raw output FVLTWS01 Volts N/A -
trans Volts Transmissometer raw output TVLTZZ01 Volts N/A -
flow1 l/min Flow rate of ship's flow-through system INFLTF01 l/min N/A -

*-*-SBE45-SBE45_DY1.TSG

Originator's variable Originator's units Description BODC Code BODC Units Unit conversion Comments
temp_r °C Hull Sea Surface Temperature (SST) TEMPHU01 °C N/A -
temp_h °C Thermosalinograph temperature (housing) TMESSG01 °C N/A -
cond s/m Conductivity CNDCSG01 s/m N/A -
salin PSU Practical salinity (uncalibrated) PSALSU01 Dimensionless N/A -

All the reformatted data were visualised using the in-house EDSERPLO software. Suspect data were marked by adding an appropriate quality control flag.

Manufacturers Calibrations

Transmissometer

The transmissometer voltage channel was converted to beam transmission ( beamtrans ) and beam attenuation ( atten ) as follows:

beamtrans [%] = ([Volts - Vdark] / [Vref - Vdark])*100

atten [per m] = (-1/pathlength) * ln(beamtrans)

where Vdark = 0.058 V, Vref = 4.685 V and pathlength = 0.25 m.

Fluorometer

The fluorescence voltage channel was converted to engineering units (chla) using the following calibration:

chla [µg/L] = SF (volts - CWO)

where SF = 5.6 µg/L/V and CWO = 0.064 V.

Processing

All reformatted data were visualised using the in-house EDSERPLO software. Where calibrations had been applied, only the calibrated versions of those parameters were screened. Suspect data were marked by adding an appropriate quality control flag.

Field Calibrations

No calibration against independent variables were applied to these data.


Project Information

Deep Links: Influence of population connectivity on depth-dependent diversity of deep-sea marine benthic biota

Background

Species populations are connected to each other through both movement of adults (migration) and eggs, larvae and juveniles (dispersal). If populations become isolated from one another (i.e. are no longer connected), then through genetic mutation, drift and natural selection, they may become so different that they evolve into new biological species. Understanding how populations become isolated is critical to understanding the process of speciation. In the marine environment many species do not move as adults (e.g. corals) or move very slowly (sea urchins). This means that for different adult populations to remain connected they rely on dispersal of early life history stages. Most marine species have a larval stage that lives in the plankton for a period of time, moving with the currents, before settling in a new area. It is larval dispersal that keeps distant populations connected. So understanding patterns of larval dispersal is important to understanding connectivity.

In the deep-sea (>200m) the bathyal region of the continental slope has been identified as supporting high species richness and being an area where the rate of origination of new species may also be high. The reasons for this are not clear, but given the importance of connectivity to population isolation and speciation, it follows that the key to understanding patterns of species diversity in this region lies in understanding connectivity. New research has suggested that because the speed of the currents that carry larvae decreases as you go deeper, larvae might not be able to travel as far, leading to a greater tendency for populations at bathyal depths to become isolated over a given distance, and thus increasing the chances of speciation.

This study aims to test this theory by investigating how patterns of connectivity vary with depth. This will be done in 3 ways:

  1. Using genetic analysis (similar to DNA fingerprinting) to compare how related distant populations are and if they become less closely related as you go deeper
  2. Using a model of ocean currents to simulate the movement of larvae between sites
  3. Io look at the range and abundance of species present at distant locations to see if those at shallower depths are more similar to each-other than those at bathyal depths.

Fieldwork

Data were collected on James Cook cruise JC136 between 14th May and 23rd June 2016. During the cruise, 5 sites in the North East Atlantic (Rockall Bank, George Bligh Bank, Anton Dohrn Seamount, Wyville-Thomson Ridge, and Rosemary Bank) were visited undertaking 27 ROV dives, 12 AUV missions, 43 CTD casts, 2 mooring deployments. 3630 biological samples were obtained from sufficient depth and site coverage for molecular analysis for 3 target species.

Participants

  • Dr Kerry Howell (Principal Investigator - Parent Grant) University of Plymouth
  • Dr Andy Foggo (Co-Investigator) University of Plymouth
  • Dr Alex Nimmo-Smith (Co-Investigator) University of Plymouth
  • Dr Vasyl Vlasenko (Co-Investigator) University of Plymouth
  • Professor Alex Rogers (Principal Investigator - Child Grant) University of Oxford

Funding

This project was funded by Natural Environment Research Council parent and child grants NE/K011855/1 and NE/K013513/1, entitled 'Influence of population connectivity on depth-dependent diversity of deep-sea marine benthic biota', with the former, parent grant led by Dr Kerry Howell, University of Plymouth, and the latter child grant led by Professor Alex Rogers, University of Oxford. The project was also in partnership with the Joint Nature Conservation Committee (JNCC) and the British Geological Survey (BGS). The project was active between 16th November 2015 and 31st December 2019.


Data Activity or Cruise Information

Cruise

Cruise Name JC136
Departure Date 2016-05-14
Arrival Date 2016-06-23
Principal Scientist(s)Kerry Howell (University of Plymouth School of Marine Science and Engineering), Michelle L Taylor (University of Oxford Department of Zoology)
Ship RRS James Cook

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