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Metadata Report for BODC Series Reference Number 1988769


Metadata Summary

Data Description

Data Category Water sample data
Instrument Type
NameCategories
Niskin bottle  discrete water samplers
Lachat QuikChem 8500 flow injection analysis system  flow injection analysers
Instrument Mounting lowered unmanned submersible
Originating Country United Kingdom
Originator Prof Mark Inall
Originating Organization Scottish Association for Marine Science
Processing Status banked
Online delivery of data Download available - Ocean Data View (ODV) format
Project(s) Oceans 2025 Theme 3
Oceans 2025 Theme 3 WP3.7
 

Data Identifiers

Originator's Identifier D340B_CTD_NUTS_375:C087
BODC Series Reference 1988769
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2009-06-26 05:55
End Time (yyyy-mm-dd hh:mm) -
Nominal Cycle Interval -
 

Spatial Co-ordinates

Latitude 56.60049 N ( 56° 36.0' N )
Longitude 7.71620 W ( 7° 43.0' W )
Positional Uncertainty 0.05 to 0.1 n.miles
Minimum Sensor or Sampling Depth 7.0 m
Maximum Sensor or Sampling Depth 102.3 m
Minimum Sensor or Sampling Height 11.7 m
Maximum Sensor or Sampling Height 107.0 m
Sea Floor Depth 114.0 m
Sea Floor Depth Source PEVENT
Sensor or Sampling Distribution Unspecified -
Sensor or Sampling Depth Datum Unspecified -
Sea Floor Depth Datum Unspecified -
 

Parameters

BODC CODERankUnitsTitle
ADEPZZ011MetresDepth (spatial coordinate) relative to water surface in the water body
AMONAATX1Micromoles per litreConcentration of ammonium {NH4+ CAS 14798-03-9} per unit volume of the water body [dissolved plus reactive particulate phase] by colorimetric autoanalysis
BOTTFLAG1Not applicableSampling process quality flag (BODC C22)
FIRSEQID1DimensionlessBottle firing sequence number
NTRZAATX1Micromoles per litreConcentration of nitrate+nitrite {NO3+NO2} per unit volume of the water body [dissolved plus reactive particulate phase] by colorimetric autoanalysis
PHOSAATX1Micromoles per litreConcentration of phosphate {PO43- CAS 14265-44-2} per unit volume of the water body [dissolved plus reactive particulate phase] by colorimetric autoanalysis
ROSPOSID1DimensionlessBottle rosette position identifier
SAMPRFNM1DimensionlessSample reference number
SLCAAATX1Micromoles per litreConcentration of silicate {SiO44- CAS 17181-37-2} per unit volume of the water body [dissolved plus reactive particulate phase] by colorimetric autoanalysis

Definition of BOTTFLAG

BOTTFLAGDefinition
0The sampling event occurred without any incident being reported to BODC.
1The filter in an in-situ sampling pump physically ruptured during sample resulting in an unquantifiable loss of sampled material.
2Analytical evidence (e.g. surface water salinity measured on a sample collected at depth) indicates that the water sample has been contaminated by water from depths other than the depths of sampling.
3The feedback indicator on the deck unit reported that the bottle closure command had failed. General Oceanics deck units used on NERC vessels in the 80s and 90s were renowned for reporting misfires when the bottle had been closed. This flag is also suitable for when a trigger command is mistakenly sent to a bottle that has previously been fired.
4During the sampling deployment the bottle was fired in an order other than incrementing rosette position. Indicative of the potential for errors in the assignment of bottle firing depth, especially with General Oceanics rosettes.
5Water was reported to be escaping from the bottle as the rosette was being recovered.
6The bottle seals were observed to be incorrectly seated and the bottle was only part full of water on recovery.
7Either the bottle was found to contain no sample on recovery or there was no bottle fitted to the rosette position fired (but SBE35 record may exist).
8There is reason to doubt the accuracy of the sampling depth associated with the sample.
9The bottle air vent had not been closed prior to deployment giving rise to a risk of sample contamination through leakage.

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

Lachat QuikChem 8500 flow injection analyzer (FIA) and Ion Chromatography (IC) system

The Lachat QuikChem 8500 can operate FIA and IC simultaneously and independently on the same instrument platform. FIA and IC are complementary analytical techniques that are commonly used in the same laboratory.

Instrument includes - sampler, dilutor, sampling pump, electronics unit, and data station.

Flow injection analysis is ideally suited for processing relatively large numbers of samples. Ion Chromatography adds the power to profile samples for a class of ionic species.

FIA Productivity Characteristics

  • Fast Startup - ~5 minutes
  • Rapid Analysis - 20 to 60 seconds is typical
  • High Sample Throughput - 60 to 120 samples per hour is typical
  • Broad Working Range - Parts per trillion to percents
  • Complete Baseline Resolution - No carryover between samples
  • Wide Dynamic Range - 2 to 3 decades is typical
  • Fast Shutdown - ~5 minutes
  • Rapid Method Changeover - ~10 minutes

New FIA Features

  • Run up to 5 channels for high productivity analysis or dedicated operation.
  • New 2-cm flow cell methods allow more signal for detection at lower levels.
  • Run Omnion 3.0 software on Windows XP, Vista, or Windows 7 operating systems.
  • Interface Omnion software in multiple languages - including Spanish, German, French, Portuguese, and Italian.

For more information about this model see the manufactures data sheet - Lachat QuikChem 8500.

Niskin Bottle

The Niskin bottle is a device used by oceanographers to collect subsurface seawater samples. It is a plastic bottle with caps and rubber seals at each end and is deployed with the caps held open, allowing free-flushing of the bottle as it moves through the water column.

Standard Niskin

The standard version of the bottle includes a plastic-coated metal spring or elastic cord running through the interior of the bottle that joins the two caps, and the caps are held open against the spring by plastic lanyards. When the bottle reaches the desired depth the lanyards are released by a pressure-actuated switch, command signal or messenger weight and the caps are forced shut and sealed, trapping the seawater sample.

Lever Action Niskin

The Lever Action Niskin Bottle differs from the standard version, in that the caps are held open during deployment by externally mounted stainless steel springs rather than an internal spring or cord. Lever Action Niskins are recommended for applications where a completely clear sample chamber is critical or for use in deep cold water.

Clean Sampling

A modified version of the standard Niskin bottle has been developed for clean sampling. This is teflon-coated and uses a latex cord to close the caps rather than a metal spring. The clean version of the Levered Action Niskin bottle is also teflon-coated and uses epoxy covered springs in place of the stainless steel springs. These bottles are specifically designed to minimise metal contamination when sampling trace metals.

Deployment

Bottles may be deployed singly clamped to a wire or in groups of up to 48 on a rosette. Standard bottles and Lever Action bottles have a capacity between 1.7 and 30 L. Reversing thermometers may be attached to a spring-loaded disk that rotates through 180° on bottle closure.

D340B Discrete Dissolved Inorganic Nutrients Sampling Document

Originator's Protocol for Data Acquisition and Analysis

Water samples were drawn from the CTD rosette bottles deployed during the cruise with the majority of the sampling effort concentrated in areas which were the focus of chlorophyll and biassay studies.

Samples were collected in 250 ml acid cleaned polythene bottles directly from CTD spigots without the use of a tube. Samples were stored in a fridge prior to analysis. The analysis was carried out within 24 hours of sample collection with a Lachat Quick Chem 8500 flow injection autoanalyser using the manufacturer's recommended methods. Standards were prepared in deionised water and samples were run in a carrier stream of deionised water.

Salt corrections were performed by running a small number of Low Nutrient Sea Water samples during each sample batch run with the mean result being subtracted from sample results.

References Cited

Inall, M. E., (2009) 'Cruise D340B Dunstaffnage to Govan via Barra Head and the Surrounding Shelf', Internal Report No 265, Scottish Association for Marine Science.

Available - Cruise D340B Internal Report

BODC Data Processing Procedures

The nutrient data were supplied to BODC in Microsoft Excel format. Values were extracted from these and saved in ASCII format prior to being loaded into BODC's ocean database under the ORACLE Relational Database Management System. Data that were considered unrealistic were flagged suspect.

SAMS nitrate data quality warning

SAMS have notified BODC of a problem in the analytical procedure adopted for nitrate analysis on this cruise. The problem relates to the technique used to prepare the analytical standards, which results in nitrate (and consequently nitrite) values which are typically 10-15 % higher than they should be. Absolute data values should therefore be used with extreme caution.

Content of data series

Originator's Parameter Unit Description BODC Parameter code BODC Unit Comments
Ammonium µM Concentration of ammonium in the water column by colorimetric autoanalysis (unfiltered) AMONAATX µM n/a
Phosphate µM Concentration of phosphate in the water column by colorimetric autoanalysis (unfiltered) PHOSAATX µM n/a
Silicate µM Concentration of silicate in the water column by colorimetric autoanalysis (unfiltered) SLCAAATX µM n/a
Nitrate and nitrite µM Concentration of nitrate and nitrite in the water column by colorimetric autoanalysis (unfiltered) NTRZAATX µM n/a

Project Information

Oceans 2025 Theme 3: Shelf and Coastal Processes

Over the next 20 years, UK local marine environments are predicted to experience ever-increasing rates of change - including increased temperature and seawater acidity, changing freshwater run-off, changes in sea level, and a likely increase in flooding events - causing great concern for those charged with their management and protection. The future quality, health and sustainability of UK marine waters require improved appreciation of the complex interactions that occur not only within the coastal and shelf environment, but also between the environment and human actions. This knowledge must primarily be provided by whole-system operational numerical models, able to provide reliable predictions of short and long-term system responses to change.

However, such tools are only viable if scientists understand the underlying processes they are attempting to model and can interpret the resulting data. Many fundamental processes in shelf edge, shelf, coastal and estuarine systems, particularly across key interfaces in the environment, are not fully understood.

Theme 3 addresses the following broad questions:

  • How do biological, physical and chemical processes interact within shelf, coastal and estuarine systems, particularly at key environmental interfaces (e.g. coastline, sediment-water interface, thermocline, fronts and the shelf edge)?
  • What are the consequences of these interactions on the functioning of the whole coastal system, including its sensitivity and/or resilience to change?
  • Ultimately, what changes should be expected to be seen in the UK coastal environment over the next 50 years and beyond and how might these changes be transmitted into the open ocean?

Within Oceans 2025, Theme 3 will develop the necessary understanding of interacting processes to enable the consequences of environmental and anthropogenic change on UK shelf seas, coasts and estuaries to be predicted. Theme 3 will also provide knowledge that can improve the forecasting capability of models being used for the operational management of human activities in the coastal marine environment. Theme 3 is therefore directly relevant to all three of NERC's current strategic priorities; Earth's Life-Support Systems, Climate Change, and Sustainable Economies

The official Oceans 2025 documentation for this Theme is available from the following link: Oceans 2025 Theme 3

Weblink: http://www.oceans2025.org/


Oceans 2025 Theme 3, Work Package 3.7: Role of Topography in Determining the Spatial Variability in Horizontal Dispersion

Tracer and budget studies show that mixing and exchange of oceanic and coastal water take place on the shelf. Topographic features, such as banks, slopes and troughs enhance horizontal and vertical mixing on scales of a few kilometres. This is presently too small to be fully resolved by existing shelf models but not by the next generation. However, for this to occur, processes that drive the mixing between terrestrial runoff and oceanic water, e.g. tidal stirring and straining, inertial currents, eddy activity and internal waves need to be explicitly included or parameterised.

Internal waves are assumed to dominate velocity and density variations on scales <100 m. Two-dimensional geostrophic horizontal turbulence ("vortical modes") exists at similar and larger scales and is relatively well understood, in isolation. However, the dispersive effects of interactions between vortical modes and internal wave mixing are poorly understood. Both internal waves and vortical mode activity are influenced by topography. Work Package (WP) 3.7, managed by the Scottish Association for Marine Science (SAMS) aims to investigate topographic regime control on horizontal dispersion mediated by internal wave/vortical mode interactions on the continental shelf.

The specific objectives are:

  • Assess and quantify how horizontal dispersion through shelf seas is affected by irregular seabed topography
  • Deliver an understanding on what the rate limiting processes are in the horizontal dispersion and exchange and mixing rates of stratified shelf waters

More detailed information on this WP is available at pages 14 - 15 of the official Oceans 2025 Theme 3 document: Oceans 2025 Theme 3

Weblink: http://www.oceans2025.org/


Data Activity or Cruise Information

Data Activity

Start Date (yyyy-mm-dd) 2009-06-26
End Date (yyyy-mm-dd) 2009-06-26
Organization Undertaking ActivityScottish Association for Marine Science
Country of OrganizationUnited Kingdom
Originator's Data Activity IdentifierD340B_CTD_C087
Platform Categorylowered unmanned submersible

No Document Information Held for the Series

Cruise

Cruise Name D340B
Departure Date 2009-06-25
Arrival Date 2009-07-04
Principal Scientist(s)Mark E Inall (Scottish Association for Marine Science)
Ship RRS Discovery

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