Metadata Report for BODC Series Reference Number 958198
No Problem Report Found in the Database
Data Quality Report
Salinity accuracy is not known but is believed to be no better than 0.01 PSU and may possibly be as low as 0.02.
Low chlorophyll values are unreliable due to excessive noise at low voltage levels.
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."
Neil Brown MK3 CTD
The Neil Brown MK3 conductivity-temperature-depth (CTD) profiler consists of an integral unit containing pressure, temperature and conductivity sensors with an optional dissolved oxygen sensor in a pressure-hardened casing. The most widely used variant in the 1980s and 1990s was the MK3B. An upgrade to this, the MK3C, was developed to meet the requirements of the WOCE project.
The MK3C includes a low hysteresis, titanium strain gauge pressure transducer. The transducer temperature is measured separately, allowing correction for the effects of temperature on pressure measurements. The MK3C conductivity cell features a free flow, internal field design that eliminates ducted pumping and is not affected by external metallic objects such as guard cages and external sensors.
Additional optional sensors include pH and a pressure-temperature fluorometer. The instrument is no longer in production, but is supported (repair and calibration) by General Oceanics.
These specification apply to the MK3C version.
3200 m (optional)
|-3 to 32°C||1 to 6.5 S cm-1|
0.03% FS < 1 msec
0.003°C < 30 msec
0.0001 S cm-1
0.0003 S cm-1 < 30 msec
Further details can be found in the specification sheet.
The Chelsea Instruments Aquatracka is a logarithmic response fluorometer. It uses a pulsed (5.5 Hz) xenon light source discharging between 320 and 800 nm through a blue filter with a peak transmission of 420 nm and a bandwidth at half maximum of 100 nm. A red filter with sharp cut off, 10% transmission at 664 nm and 678 nm, is used to pass chlorophyll-a fluorescence to the sample photodiode.
The instrument may be deployed either in a through-flow tank, on a CTD frame or moored with a data logging package.
Further details can be found in the manufacturer's specification sheet.
The transmissometer is designed to accurately measure the the amount of light transmitted by a modulated Light Emitting Diode (LED) through a fixed-length in-situ water column to a synchronous detector.
- Water path length: 5 cm (for use in turbid waters) to 1 m (for use in clear ocean waters).
- Beam diameter: 15 mm
- Transmitted beam collimation: <3 milliradians
- Receiver acceptance angle (in water): <18 milliradians
- Light source wavelength: usually (but not exclusively) 660 nm (red light)
The instrument can be interfaced to Aanderaa RCM7 current meters. This is achieved by fitting the transmissometer in a slot cut into a customized RCM4-type vane.
A red LED (660 nm) is used for general applications looking at water column sediment load. However, green or blue LEDs can be fitted for specilised optics applications. The light source used is identified by the BODC parameter code.
Further details can be found in the manufacturer's Manual.
RRS Charles Darwin 60 CTD Data Documentation
The CTD profiles were taken with an RVS Neil Brown Systems Mk3B CTD incorporating a pressure sensor, conductivity cell, platinum resistance thermometer and a Beckmann dissolved oxygen sensor. This was mounted vertically in the centre of a protective cage approximately 1.5m square.
Attached to the bars of the frame were a Chelsea Instruments Aquatracka fluorometer, and a SeaTech red light (661nm) transmissometer with a 25cm path length.
Above the frame was a General Oceanics rosette sampler fitted with 12, 10 litre Niskin bottles. The bases of the bottles were 0.75m above the pressure head with their tops 1.55m above it. One of the bottles was fitted with a holder for up to three digital reversing thermometers mounted 1.38m above the CTD temperature sensor. On deep casts, a second bottle was sometimes similarly equipped.
Above the rosette was a PML 2-pi PAR (photosynthetically available radiation) sensor pointing upwards to measure downwelling irradiance. A second such sensor was fitted to the bottom of the cage facing downwards to measure upwelling irradiance. Both of these instruments had been hardened to withstand pressures of 1000 db. (the standard units implode at 500 db.). It should be noted that the PAR meters were vertically separated by approximately 2m.
Lowering rates of up to 1.5 m/sec were used, although rates were generally in the range 0.5 - 1 m/sec. Bottle samples and reversing thermometer measurements were acquired on the ascent of each cast.
CTD data were sampled at a frequency of 32 Hz. Data reduction was in real time, converting the 32 Hz data to a 1-second time-series (done by the RVS Level A system) which was then passed through an Analogue-Digital Converter and logged as digital counts on the Level C.
On-Board Data Processing
RVS software on the Level C (a Sun workstation) was used to convert the raw counts into engineering units (Volts for PAR meters, fluorometer and transmissometer: ml/l for oxygen: mmho/cm for conductivity: °C for temperature).
Salinity (Practical Salinity Units, as defined by the Practical Salinity Scale, Fofonoff and Millard (1982)) was calculated from conductivity ratios (conductivity / 42.914) and a lagged temperature using the function described in Unesco report 37 (1981).
Data were written onto magnetic tape in GF3 format and submitted to BODC.
The data were converted into the BODC internal format to allow the use of in-house software tools, notably the workstation graphics editor. In addition to reformatting, the Transfer Program applied the following modifications to the data:
Dissolved oxygen was converted from ml/l to µM by multiplying the values by 44.66.
The transmissometer voltages were corrected for light source decay using a conversion ratio computed from air voltages (4.603V; blocked voltage 0.003V until 21st June: corrected value - see below - of 4.734V; blocked voltage 0V used after 21st June) taken during the cruise and the manufacturer's voltage quoted for the new instrument (4.740V). Allowance was made for the replacement of the instrument on 21st June by multiplying the measured voltage for the second instrument by the ratio of the new voltages for the two instruments. This 'fudge' was forced by limitations of the processing software.
The voltages were converted to percentage transmission by multiplying them by 20.
The 2-pi PAR data were converted from Volts to µE/m2/s using the equations:
|Downwelling:||PAR = exp(-4.977*V + 7.0040) * 0.0375|
|Upwelling :||PAR = exp(-5.031*V + 6.8751) * 0.0375|
Reformatted CTD data were transferred onto a high-speed graphics workstation. A number of tasks was performed here, using an in-house graphics editor. Initially, downcasts and upcasts were differentiated and the limits of the downcast were manually flagged.
Secondly, spikes on the downcast data were manually flagged. No data values were edited or deleted; flagging was achieved by modification of the associated quality control character flags.
Finally, the pressure ranges over which bottle samples were being collected, were logged by manual interaction with the software. Usually, the marked reaction of the oxygen sensor to the bottle firing sequence was used to determine this.
These pressure ranges were subsequently used, in conjunction with a geometrical correction for the position of the water bottles with respect to the CTD pressure transducer, to determine the pressure range of data to be averaged for calibration values.
Once screened on the workstation, the CTD downcasts were loaded into a database under the Oracle relational database management system. During the loading process, the transmissometer data were converted to attenuance using the algorithm:
|attenuance = -4.0 * ln (percent transmittance / 100.0)|
With the exception of pressure, calibrations were done by comparison of CTD data against measurements made on water bottle samples or from reversing thermometers mounted on the water bottles. In general, values were averaged from the CTD downcasts (most casts were shallow; therefore hysteresis is assumed to be negligible). Where inspection on a graphics workstation showed significant hysteresis, values were manually extracted from the CTD upcasts.
All calibrations described here have been applied to the data.
The pressure offset was determined by looking at the pressures recorded when the CTD was clearly logging in air (readily apparent from the conductivity channel). For this cruise, there was no evidence of drift in the pressure sensor, allowing a single correction thus:
|Pcorr = Pobs + 0.3|
The CTD temperature sensor was calibrated against deep sea digital reversing thermometers.
|Tcorr = Tobs - 0.001|
Salinity was calibrated against water bottle samples measured on the Guildline 55358 Autolab Salinometer during the cruise. Samples were generally taken from the first bottle fired on each cast which would normally be at the maximum depth sampled. On some deep casts, one or even two additional samples were taken spaced through the water column.
Samples were collected in glass bottles filled to just below the neck and sealed with plastic stoppers. Batches of samples were left for at least 24 hours to reach thermal equilibrium in the constant temperature laboratory containing the salinometer before analysis.
The correction determined for this cruise was:
|Scorr = Sobs + 0.017|
No water bottle data were available for calibration on this cruise. Consequently, no oxygen data are available.
The fluorometer was calibrated in terms of chlorophyll using a multiple regression technique against extracted chlorophyll and downwelling irradiance. Samples were taken from each water bottle, filtered and extracted into acetone. Chlorophyll was determined using a Turner Designs bench fluorometer calibrated against absolute chlorophyll standards. The data from the cruise were treated as a single population.
The calibration equation determined was
|Chlorophyll (mg/m3) = exp (V*0.946 + 0.001664*PAR - 2.22) (r2=59.5: n=109)|
PAR is expressed in units of µE/m2/s.
The fluorometer voltage was noted as being extremely noisy at levels below 1 Volt. This was rectified as far as possible by heavy flagging but the accuracy of low chlorophyll values must be questioned.
The CTD data have been binned by averaging over 1 db intervals for casts shallower than 100m and 2 db intervals for casts deeper than 100m. The binning algorithm only included data values associated with good flags. If no good data were available for a bin, linear interpolation was used to fill gaps of up to 3 bins. Gaps larger than this were left null.
The result of this algorithm is that data points are either considered good, in which case there is a value, or null, in which case the field is left blank. This removes the need for quality control flags which are often ignored and consequently make the data much easier to handle. The disadvantage is that some information is lost. The full resolution data have been archived by BODC and may be obtained on request.
Normal practice is to compare the theta/salinity relationship for deep casts against the canonical relationship for North Atlantic deep waters described by Saunders and Manning (1984) and given in Saunders (1986). However, no suitable deep casts were done on this cruise (the deepest was to approximately 2700 m) and hence no comparison was possible.
Previous experience of the calibration procedures on BOFS cruises, where no attempt is made to tune the thermal lag correction and the number of calibration samples is limited has shown an accuracy in salinity of 0.01 to 0.02 PSU. There is no reason to believe that the data from this cruise are any better than this. Consequently, usage of the data for purposes where high accuracy salinity data are required is not recommended.
FOFONOFF N.P., MILLARD R.C. 1982. Algorithms for computation of fundamental properties of seawater. UNESCO Technical papers in Marine Science 44.
SAUNDERS P.M., MANNING A. 1984. CTD Data from the Northeast Atlantic Ocean, 22N-33N, 19-24W, July 1983 during RRS Discovery cruises 138,139. IOS Deacon Laboratory technical report 188.
SAUNDERS P.M. 1986. CTD data from the Madeira and Iberian abyssal plains, Charles Darwin cruises 3/85 and 9A/85. IOS Deacon Laboratory technical report 227.
UNESCO 1981. Background papers and supporting data on the Practical Salinity Scale, 1978. Unesco Technical Papers in Marine Science 37 144pp.
Biogeochemical Ocean Flux Study (BOFS)
The Biogeochemical Ocean Flux Study (BOFS) was a Community Research Project within the Marine and Atmospheric Sciences Directorate (MASD) of the Natural Environment Research Council. The project provided a major United Kingdom contribution to the international Joint Global Ocean Flux Study (JGOFS). The project ran from April 1987 until March 1992 but was extended through bridging funds until March 1993. The BOFS North Atlantic Data Set was collected during the initial five year period. Fieldwork in the bridging year focused on the Antarctic in late 1992. These data will form part of a subsequent electronic publication of Antarctic data and are not included on this CD-ROM.
The primary aims of the BOFS programme were:
- To improve the understanding of the biogeochemical processes influencing the dynamics of the cycling of the elements in the ocean and related atmospheric exchanges with particular reference to carbon.
- To develop, in collaboration with, other national and international programmes. models capable of rationalising and eventually predicting the chemical and biological consequences of natural and man-induced changes to the atmosphere ocean system.
A Community Research Project brings together scientists from NERC institutes and UK universities to work on a common problem. In this way resources far beyond the scope of individual research groups may be brought to bear on a common problem. The project is coordinated through a host laboratory which has responsibility for financial management, organisation and logistics. The host laboratory for BOFS was the Plymouth Marine Laboratory (PML).
The BOFS North Atlantic data set was the result of fieldwork carried out on 11 research cruises. Four studies were carried out during three field seasons in 1989, 1990 and 1991; the 1989 North Atlantic Bloom Experiment, the 1990 Lagrangian Experiment, the 1990 BOFS Benthic Study and the 1991 Coccolithphore Study. Measurements taken include:
Physical (e.g. temperature, salinity and optics)
Meteorology and positioning
Chemical (e.g. dissolved oxygen, organic carbon and nitrogen)
Biological (e.g. biomass, pigments and bacteria production)
Geological (sediment traps)
The Sterna 1992 project (the Southern Ocean component of BOFS) aimed to measure the size and variability of carbon and nitrogen fluxes during early summer in the Southern Ocean, with particular emphasis on rates and processes in the marginal ice zone. Fieldwork was carried out between October and December 1992 in the Southern Ocean area, approximately 55°S to 70°S, 60°W to 85°W. A wide range of physical, chemical and biological parameters were measured.
Data management services to BOFS were provided by the British Oceanographic Data Centre, funded by the UK Natural Environment Research Council.
Joint Global Ocean Flux Study (JGOFS)
JGOFS was an international and multi-disciplinary programme, which ran from February 1987 to December 2003, with participants from more than 20 nations. JGOFS was launched at a planning meeting in Paris under the auspices of the Scientific Committee of Oceanic Research (SCOR), a committee of the International Council for Science (ICSU) and later became one of the first core projects of the International Geosphere-Biosphere Programme (IGBP) in 1989.
The primary aims of the JGOFS programme were:
- To determine and understand on a global scale the processes controlling the time-varying fluxes of carbon and associated biogenic elements in the ocean, and to evaluate the related exchanges with the atmosphere, sea floor and continental boundaries.
- To develop a capacity to predict on a global scale the response to anthropogenic perturbations, in particular those related to climate change.
JGOFS consisted of fieldwork, synthesis and modelling phases. Further information about JGOFS may be found at the international Joint Global Ocean Flux Study web site.
|1988 - 1990||Long-term time series stations established near Bermuda, Hawaii and in the Ligurian Sea|
|1989 - 1991||North Atlantic Bloom Experiment (NABE)|
|1991 - 1994||Equatorial Pacific Process Study|
|1992 - 1998||Southern Ocean Process Study|
|1994 - 1995||Indian Ocean (Arabian Sea) Process Study|
|1998||North Pacific Process Study|
Synthesis and modelling phase
From 1998, as the fieldwork for most process studies were being completed, JGOFS focused on:
- Integrating regional synthesis and modelling activities
- Maintaining links to other ocean observing and global change programmes
- Developing a global synthesis and modelling phase
The field data collected during JGOFS has been published on two DVDs. These are available via the World Data Center for Oceanography, Silver Spring and are entitled:
- JGOFS International Collection, Volume 1: Discrete Datasets (1989-2000) DVD
- JGOFS Arabian Sea Process Study, CTD, XBT and SeaSoar Data from 1990-1997
Data sets making up the UK contribution to JGOFS, for which BODC provided data management support, are also available directly from BODC.
|Principal Scientist(s)||Patrick M Holligan (Plymouth Marine Laboratory)|
|Ship||RRS Charles Darwin|
Complete Cruise Metadata Report is available here
No Fixed Station Information held for the Series
The following single character qualifying flags may be associated with one or more individual parameters with a data cycle:
|<||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.)|
|E||End of CTD Down/Up Cast|
|G||Non-taxonomic biological characteristic uncertainty|
|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|
|O||Improbable value - user quality control|
The following single character qualifying flags may be associated with one or more individual parameters with a data cycle:
|0||no quality control|
|2||probably good value|
|3||probably bad value|
|6||value below detection|
|7||value in excess|
|A||value phenomenon uncertain|
|Q||value below limit of quantification|