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Metadata Report for BODC Series Reference Number 952824


Metadata Summary

Data Description

Data Category Surface temp/sal
Instrument Type
NameCategories
SeaTech transmissometer  transmissometers
Chelsea Technologies Group Aquatracka fluorometer  fluorometers
Global Positioning Satellite System  NAVSTAR Global Positioning System receivers
OceanData TSG103 thermosalinograph  thermosalinographs; water temperature sensor; salinity sensor
Technicon AutoAnalyzer II colorimetric autoanalyser  colorimeters; autoanalysers
Instrument Mounting research vessel
Originating Country United Kingdom
Originator Mr Peter Watson
Originating Organization Plymouth Marine Laboratory
Processing Status banked
Online delivery of data Download available - Ocean Data View (ODV) format
Project(s) LOIS River-Atmosphere-Coast Study (RACS)
 

Data Identifiers

Originator's Identifier CH118C_SURF
BODC Series Reference 952824
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 1995-04-28 08:02
End Time (yyyy-mm-dd hh:mm) 1995-05-11 16:45
Nominal Cycle Interval 30.0 seconds
 

Spatial Co-ordinates

Southernmost Latitude 52.32167 N ( 52° 19.3' N )
Northernmost Latitude 56.00267 N ( 56° 0.2' N )
Westernmost Longitude 2.28310 W ( 2° 17.0' W )
Easternmost Longitude 2.32100 E ( 2° 19.3' E )
Positional Uncertainty 0.05 to 0.1 n.miles
Minimum Sensor or Sampling Depth 4.0 m
Maximum Sensor or Sampling Depth 4.0 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)
ALATGP011DegreesLatitude north relative to WGS84 by unspecified GPS system
ALONGP011DegreesLongitude east relative to WGS84 by unspecified GPS system
ATTNMR011per metreAttenuation (red light wavelength) per unit length of the water body by 20 or 25cm path length transmissometer
CPHLUW011Milligrams per cubic metreConcentration of chlorophyll-a {chl-a CAS 479-61-8} per unit volume of the water body [particulate >unknown phase] by Aquatracka fluorometer immersed in non-toxic supply and calibration against sample data
PHOSAAD21Micromoles per litreConcentration of phosphate {PO43- CAS 14265-44-2} per unit volume of the water body [dissolved plus reactive particulate <0.4/0.45um phase] by filtration and colorimetric autoanalysis
PSALSG011DimensionlessPractical salinity of the water body by thermosalinograph and computation using UNESCO 1983 algorithm and calibration against independent measurements
SLCAAAD21Micromoles per litreConcentration of silicate {SiO44- CAS 17181-37-2} per unit volume of the water body [dissolved plus reactive particulate <0.4/0.45um phase] by filtration and colorimetric autoanalysis
TEMPSG011Degrees CelsiusTemperature of the water body by thermosalinograph and verification against independent measurements
TSEDTR011Milligrams per litreConcentration of suspended particulate material {SPM} per unit volume of the water body [particulate >unknown phase] by in-situ optical attenuance measurement and calibration against sample data

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

Technicon AutoAnalyzer II (AAII)

The AAII is a segmented flow analyzer used for automated colorimetric analysis. The apparatus uses 2 mm diameter glass tubing and pumps reagents at flow rates of 2 to 3 ml s-1, producing results at a typical rate of 30 to 60 samples per hour. The system comprises an autosampler, peristaltic pump, chemistry manifold a detector and a data acquisition software.

This instrument was replaced by the AA3 in 1997 which was upgraded to the AA3 HR systems in 2006.

Specifications

Frequency 420 kHz
Beam width 1.8° at -3 dB
Pulse lenght 0.1 m
Acoustic range precision ± 2.5 cm
Sampling rate 1 Hz
Tilt accuracy ± 0.5°
Tilt resolution ± 0.01°

Diameter of ensonified area
(dependent on acoustic range)

0.9 m for 30 m range

3.1 m for 100 m range

6.3 m for 200 m range

Aquatracka fluorometer

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.

Global Positioning Satellite System

A location system of unspecified make or model that determines location on the Earth's surface using the Global Positioning Satellite Network. Angular co-ordinates are given relative to WGS84 CRS. Other parameters such as platform velocity may be derived from this.

SeaTech Transmissometer

Introduction

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.

Specifications

  • 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)

Notes

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.

CH118_c Sea surface hydrography instrument details

Underway hydrography was recorded by a suite of instruments in the ship's flow-through system. Instrument details are given in the table below.

Instrument type Make and model
GPS unspecified
Thermosalinograph TSG103
Fluorometer Chelsea Instruments Aquatracka
Transmissometer SeaTech 661nm, 25cm path

CH118_c Sea surface Hydrography Series Processing Notes

Nutrients

The nutrients were measured using a Technicon AAII auto-analyser connected to the pumped seawater supply by a continuous filter block (Morris et. al., 1978).

There are no nitrate or nitrite data available due to problems with the connections between the autoanalyser and the data logging system.

The chemistries used were:

Phosphate: Reduction of a phosphomolybdate complex in acid solution to 'molybdenum blue' by ascorbic acid with sensitivity enhanced by the catalytic action of antimony potassium tartrate.
Silicate: The method used for silicate was based on the reduction of a silicomolybdate in acidic solution to 'molybdenum blue' by ascorbic acid. Oxalic acid was introduced into the sample stream before the addition of ascorbic acid to eliminate interference from phosphates.

The colorimeter outputs were logged by a Level A connected to the chart recorder inputs. The system was calibrated by running nutrient-depleted sea water (the matrix used for the standards) and MilliQ water washes to determine baselines and sets of four standards. Standards were generally run at least once per day and baselines were run approximately every six hours.

The following processing procedures were adopted by BODC to convert the raw voltage streams into nutrient concentrations.

The data were then segmented into internally consistent subsets (i.e. taking account of any instrumental change such as gain or baseline alterations documented by the analyst), with constant or linearly drifting baselines. For each segment, the baseline as a function of time was fitted to a linear regression, which was applied to standardise the segment to a baseline of zero.

The standard voltages were used to construct calibration curves to convert raw voltages into nutrient concentrations. Note that nutrient concentrations in the low-nutrient seawater matrix were determined manually from the autoanalyser chart rolls and added to the spike values for calibration curve generation.

The calibration equations were applied on a segment by segment basis to the data stream. All baseline and calibration equations were checked manually before they were used. Once concentrations had been calculated, checked and checked again, the custom baseline and standard flags were changed to suspect flags.

The data were subsequently quality controlled by inspection on a graphics workstation with particular attention paid to the concentrations obtained for the standards. Any data identified as suspect were flagged. These checks included comparative screening between the nutrient channels.

The nutrient time channels were adjusted to correct for the delay incurred whilst the sample passed through the complex plumbing of the autoanalyser. No salt corrections (corrections for difference in optical density between sample and standards) were applied, as the standards were prepared in nutrient-depleted seawater.

The time corrections were determined by first synchronising silicate with salinity using data from sharp gradients going into plumes where silicate may be considered a conservative fresh-water tracer. Phosphate was then synchronised to silicate using data when standards were running. The corrections applied were:

The corrections applied were:

PO4 -7mins
Si -5.5mins

As a final processing step, small negative values in the data were converted to zero to prevent them creating havoc with contouring software. Values of zero flagged 'G' should therefore be taken to mean 'below detection limit'.

Chlorophyll

Chlorophyll was measured by a Chelsea Instruments Aquatracka fluorometer immersed in a light-tight pond. A common calibration was produced, which covers all three legs of Challenger 117. It was produced by regressing the natural logs of fluorometric extracted chlorophyll concentrations against the corresponding fluorometer voltages.

Chlorophyll concentrations were computed using the following equation:

Chlorophyll (mg m-3) = exp (2.90*fluorometer voltage - 2.36) (n=236, R2=51.0%)

The calibration data set was obtained by fluorometric assay of acetone extracts from 0.2 micron Nuclepore filters. The extracted chlorophyll data exhibited an exceptional degree of scatter and a significant quantity of data had to be rejected before any significant correlation between the fluorometer signal and chlorophyll values could be obtained. This is reflected in the poor calibration statistics from a time of year when a good calibration would be expected.

Data were pooled from all three legs of the cruise to prevent calibration artifacts producing artificial differences between the repeated surveys. However, an element of caution should be used when interpreting the absolute chlorophyll values from this cruise.

Sea surface temperature and salinity

Temperature and salinity were measured using a TSG103 thermosalinograph. The temperature sensor was a thermistor in the non-toxic supply inlet manifold. Conductivity was measured by a unit in the ship's wet laboratory, which included a second thermistor to provide temperature for the computation of salinity.

The raw ADC counts were calibrated to give conductivity and two temperature channels based upon RVS laboratory calibrations. Salinity was computed from the housing temperature and conductivity using the UNESCO 1978 Practical Salinity Scale (Fofonoff and Millard, 1983).

The thermosalinograph was calibrated against surface values taken from the calibrated CTD. In the case of salinity, bottle samples analyzed by a Guildline Autosal bench salinometer also contributed to the calibration data set. A consistent temperature offset of 0.15 °C was noted, and this has been applied as a correction to the whole cruise. The salinity record was divided into three segments for calibration purposes. In each segment, the salinity offset drifted linearly with time, requiring the following calibration equations:

28/04/1995 08:02:00 to 05/05/1995 20:30:00
Calibrated salinity = Raw salinity + (cycle*0.00000174 + 0.153)

05/05/1995 20:30:30 to 06/05/1995 20:00:00
Calibrated salinity = Raw salinity + (cycle*0.0000455 - 0.895)

06/05/1995 20:00:30 to 11/05/1995 16:45:30
Calibrated salinity = Raw salinity + (cycle*0.00000773 + 0.114)

Optical Attenuance and Sediment Load

Optical attenuance was measured using a SeaTech red light (661nm) transmissometer with a 25cm optical path length mounted in a light-tight box on the starboard deck fed from the non-toxic supply.

Transmissometer air readings made during the cruise were used to correct the transmissometer voltage to the manufacturer's specified voltage by ratio. The air reading used was 4.751 V. The manufacturer's voltage for the instrument was 4.789 V.

The voltages were then converted to attenuance to eliminate the influence of instrument path length using the equation:

Attenuance = -4.0 * loge (voltage/5.0)

The data were then screened on a graphics workstation and any spikes flagged.

The transmissometer was calibrated in terms of sediment load using gravimetric data obtained by filtering water through tared GF/F filters. The following calibration was obtained by pooling the data obtained by the LOIS Core Team from PML on the three legs of Challenger 118:

SPM (mg/l) = (Attenuance - 0.5227) / 0.4607 (n=226, R2 = 92.5%)

However, a scientist from University of Wales, Bangor also measured sediment load by gravimetry at the same depths as the LOIS team using a newly implemented protocol. This involved the use of small (2.5 litre) CTD rosette bottles. The total contents of these was used as the UWB SPM sample whereas the PML sample was collected as a sub-sample from a 10 litre bottle risking sediment loss through settling.

Comparing the two data sets showed the UWB data to be systematically significantly higher than the PML data. If these data are used to calibrate the underway transmissometer, the resulting calibration equation is:

SPM (mg/l) = (Attenuance - 0.7585) / 0.2819 (n=99, R2 = 87.7%)

The feature to note here is the slope of the UWB calibration is over 1.5 times that of the PML calibration. The PML calibration has been applied to the data for the sake of consistency throughout the project. However, it should be borne in mind that the result might represent an underestimate of the actual suspended load.

References

Fofonoff, N.P. and Millard Jr., R.C. (1983). Algorithms for computation of fundamental properties of seawater. UNESCO Technical Papers in Marine Science 44.

Morris, A.W., Howland, R.J.M., and Bale, A.J. (1978). A filtration unit for use with continuous autoanalytical systems applied to highly turbid waters. Est. Coast. Mar. Sci. 6, 105-109.

CH118_c Sea surface Hydrography, Meteorology and Navigation Series

Instrumentation

Seawater was continuously pumped from the hull of the ship, at a depth of about 4m. This is known as the ship's non-toxic supply. The thermosalinograph was fed through a small (100-litre) header tank. A large plastic tank on the starboard deck was fed directly from the non-toxic manifold and contained the transmissometer and fluorometer. Baffles in the tank ensured that a continuous flow was maintained over the instruments. The nutrient autoanalyser was fed from plastic tubing connected to taps on the non-toxic supply.

Calibration samples were either taken from the non-toxic tap on the wet laboratory sink or the thermosalinograph outlet.

Data Acquisition

Data logging and initial processing was handled by the RVS ABC system. The Level A sampling microcomputer digitised an input voltage, applied a time stamp and transferred the data via the Level B disk buffer onto the Level C where the data records were assembled into files. Note that the autoanalyser was included in this arrangement by logging voltages supplied to the instrument chart recorder.

Sampling rates varied from 10 seconds to 10 minutes.

The Level C included a suite of calibration software, which was used to apply initial calibrations to convert raw ADC counts into engineering units. At the end of the cruise, the Level C disk base was transferred to BODC for further processing.

BODC Data Processing Procedures

Data from the underway files were merged into a common file (the binary merge file) with a sampling interval of 30 seconds using time as the primary linking key. Data sampled at higher frequencies were reduced by averaging. Data logged as voltages (e.g. PAR, nutrients) were converted to engineering units.

Each data channel was inspected on a graphics workstation and any spikes or periods of dubious data were flagged. The power of the workstation software was used to undertake all possible comparative screening checks between channels. Note that the software used provided a window displaying the current position along cruise track to allow the spatial context of the data to be taken into account during screening.


Project Information

LOIS River-Atmosphere-Coast Study (LOIS - RACS)

Introduction

The Land-Ocean Interaction Study (LOIS) was a NERC research programme designed to study processes in the coastal zone. The Rivers, Atmosphere and Coasts Study (RACS) was a major component of LOIS that looked at land-sea interactions in the coastal zone and the major exchanges (physical, chemical and biological) between rivers and estuaries and the atmosphere. The study focused on the east coast of the UK from the Wash to the Tweed.

RACS included several sub-components

  • BIOTA - A study of salt marshes of the Humber and Wash
  • RACS (A) - An atmospheric chemistry study looking at air mass changes from the Wash into East Anglia
  • RACS (C) - A study of the estuaries, coasts and coastal waters between Great Yarmouth and Berwick upon Tweed.
    1. The coastal oceangraphic survey
    2. The Humber estuarine study
    3. The Tweed estuarine study
    4. The Holderness experiment
  • RACS (R) - A study of rivers that drain into the North Sea

RACS (A) was coordinated by the University of East Anglia and RACS (C) by the Plymouth Marine Laboratory.

RACS (A)

The bulk of the RACS (A) data set was collected during two field campaigns in the winter (October/November) of 1994 and the summer (May/June) of 1995. During these campaigns data were collected continuously from the University of East Anglia Atmospheric Observatory at Weybourne on the north Norfolk coast. An instrumented vessel was stationed offshore to provide a second sampling site to allow changes in a given air mass to be monitored. The Imperial College Jetstream research aircraft made one flight during each campaign to provide a link between the two surface stations. The Jetstream made four additional flights in 1996 and 1997.

RACS (C)

The coastal oceanographic survey

The coastal oceanographic data set was collected during a series of 17 RRS Challenger cruise legs. Most cruises covered two survey grids. One from Great Yarmouth to the Humber designed around the distribution of the sandbanks and a second simple zig-zag grid from the Humber to Berwick on Tweed. A large number of anchor stations, usually over one or two tidal cycles, were worked in the area of the Humber mouth or the Holderness coast.

The Humber estuarine study

The Humber estuarine data set was collected during a series of 33 campaigns on the Environment Agency vessels Sea Vigil and Water Guardian in the Humber, Trent and Ouse river systems at approximately monthly intervals between June 1993 and December 1996. Each campaign consisted of two or three one-day cruises. The tracks covered the estuary from the tidal limits of both Trent and Ouse to Spurn Point. Instrumental and sample data are available from a series of fixed stations that were sampled during every campaign.

The Tweed estuarine study

The Tweed estuarine data set was collected during a series of 13 campaigns using RV Tamaris in association with a rigid inflatable vessel at approximately monthly intervals between July 1996 and July 1997. Each campaign covered the tidal reaches of the River Tweed.

The Holderness experiment

The Holderness Experiment was designed to monitor the process of sediment transport along the Holderness coastline. It consisted of three moored instrument deployments during the winters of 1993-1994, 1994-1995 and 1995-1996. Mooring platforms were deployed at eight stations along two lines off the Holderness coast. A northerly and a southerly line of four stations each were used (N1 - N4 and S1 to S4) with the lowest numbers being inshore. Both lines were approximately perpendicular to the coast, although the S4 station lay to the south of the S line, off Spurn Head.


Data Activity or Cruise Information

Cruise

Cruise Name CH118C
Departure Date 1995-04-27
Arrival Date 1995-05-12
Principal Scientist(s)Peter G Watson (Plymouth Marine Laboratory)
Ship RRS Challenger

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