Metadata Report for BODC Series Reference Number 1748974


Metadata Summary

Data Description

Data Category Water sample data
Instrument Type
NameCategories
Non-toxic sea water supply  continuous water samplers
SPX Bran+Luebbe colorimetric Autoanalyser 3  colorimeters; autoanalysers
Instrument Mounting research vessel
Originating Country United Kingdom
Originator Mr Malcolm Woodward
Originating Organization Plymouth Marine Laboratory
Processing Status banked
Project(s) Shelf Sea Biogeochemistry (SSB)
 

Data Identifiers

Originator's Identifier DY008_GPUMP_NUTS_62:
BODC Series Reference 1748974
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2014-03-21 16:30
End Time (yyyy-mm-dd hh:mm) 2014-04-10 16:17
Nominal Cycle Interval -
 

Spatial Co-ordinates

Southernmost Latitude 49.39776 N ( 49° 23.9' N )
Northernmost Latitude 51.23556 N ( 51° 14.1' N )
Westernmost Longitude 8.60248 W ( 8° 36.1' W )
Easternmost Longitude 6.00282 W ( 6° 0.2' W )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor Depth 6.0 m
Maximum Sensor Depth 6.0 m
Minimum Sensor Height -
Maximum Sensor Height -
Sea Floor Depth -
Sensor Distribution Unspecified -
Sensor Depth Datum Unspecified -
Sea Floor Depth Datum Instantaneous - Depth measured below water line or instantaneous water body surface
 

Parameters

BODC CODE Rank Units Short Title Title
AADYAA01 1 Days Date(Loch_Day) Date (time from 00:00 01/01/1760 to 00:00 UT on day)
AAFDZZ01 1 Days Time(Day_Fract) Time (time between 00:00 UT and timestamp)
ALATGP01 1 Degrees Lat_GPS Latitude north (WGS84) by unspecified GPS system
ALONGP01 1 Degrees Lon_GPS Longitude east (WGS84) by unspecified GPS system
AMONAATX 1 Micromoles per litre NH4_Unfilt_Col Concentration of ammonium {NH4+ CAS 14798-03-9} per unit volume of the water body [dissolved plus reactive particulate phase] by colorimetric autoanalysis
NTRIAATX 1 Micromoles per litre NO2_Unfilt_ColAA Concentration of nitrite {NO2- CAS 14797-65-0} per unit volume of the water body [dissolved plus reactive particulate phase] by colorimetric autoanalysis
NTRZAATX 1 Micromoles per litre NO3+NO2_Unfilt_ColAA Concentration of nitrate+nitrite {NO3+NO2} per unit volume of the water body [dissolved plus reactive particulate phase] by colorimetric autoanalysis
PHOSAATX 1 Micromoles per litre PO4_Unfilt_ColAA Concentration of phosphate {PO43- CAS 14265-44-2} per unit volume of the water body [dissolved plus reactive particulate phase] by colorimetric autoanalysis
SLCAAATX 1 Micromoles per litre SiOx_Unfilt_ColAA Concentration of silicate {SiO44- CAS 17181-37-2} per unit volume of the water body [dissolved plus reactive particulate phase] by colorimetric autoanalysis
 

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

SPX Bran+Luebbe Autoanalyser 3

The instrument uses continuous flow analysis (CFA) with a continuous stream of material divided by air bubbles into discrete segments in which chemical reactions occur. The continuous stream of liquid samples and reagents are combined and transported in tubing and mixing coils. The tubing passes the samples from one apparatus to the other with each apparatus performing different functions, such as distillation, dialysis, extraction, ion exchange, heating, incubation, and subsequent recording of a signal.

An essential principle of the system is the introduction of air bubbles. The air bubbles segment each sample into discrete packets and act as a barrier between packets to prevent cross contamination as they travel down the length of the tubing. The air bubbles also assist mixing by creating turbulent flow (bolus flow), and provide operators with a quick and easy check of the flow characteristics of the liquid.

Samples and standards are treated in an exactly identical manner as they travel the length of the tubing, eliminating the necessity of a steady state signal, however, since the presence of bubbles create an almost square wave profile, bringing the system to steady state does not significantly decrease throughput and is desirable in that steady state signals (chemical equilibrium) are more accurate and reproducible.

The autoanalyzer can consist of different modules including a sampler, pump, mixing coils, optional sample treatments (dialysis, distillation, heating, etc), a detector, and data generator. Most continuous flow analyzers depend on color reactions using a flow through colorimeter, however other methods have been developed that use ISE, flame photometry, ICAP, fluorometry, and so forth.

More details can be found in the manufacturer's introduction to autoanalysers and instrument description .

Non-toxic (underway) sea water supply

A source of uncontaminated near-surface (commonly 3 to 7 m) seawater pumped continuously to shipboard laboratories on research vessels. There is typically a temperature sensor near the intake (known as the hull temperature) to provide measurements that are as close as possible to the ambient water temperature. The flow from the supply is typically directed through continuously logged sensors such as a thermosalinograph and a fluorometer. Water samples are often collected from the non-toxic supply. The system is also referred to as the underway supply.

Discrete inorganic nutrient samples from ship's underway supply and tow fish during RRS Discovery cruise DY008

Originator's Protocol for Data Acquisition and Analysis

Sampling strategy

A total of 62 discrete samples were collected from the ship's underway non-toxic pumped seawater supply and via a tow fish. The underway samples were collected at approximately 6 m below sea-level and the tow fish samples from approximately 1.5 to 2 m water depth. The water sample was transferred from the underway supply to a 60 ml HDPE Nalgene bottles (acid washed and cleaned) using a silicone tubing, with the sample bottle being washed three times before the taking the final sample.

Samples collected from the tow fish followed the protocol described above, however the sampling was done through a long length tube (approximate 1.3 m) which directed the water into the clean lab. The tube was flushed during approximately 4.3 minutes before samples were collected. Sample collection was done with a constant flow rate of about 3.6 l min -1 .

Samples from the ship's underway non-toxic seawater supply were taken to the lab and analysed shortly after collection, whereas the samples from the tow fish were taken to shore to be analysed. Gloves and other clean handling protocols were adopted following the GO-SHIP protocols.

Sample Analysis

The inorganic nutrient samples were analysed using a 5 channel (nitrate, nitrite, phosphate, silicate and ammonium) Bran and Luebbe AAIII segmented flow, colorimetric, autoanalyser. The data were calibrated against home nutrient standards and then compared against Certified Nutrient Reference Materials, from KANSO Technos, Japan.

The analytical chemical methodologies used were according to Brewer and Riley (1965) for nitrate, Grasshoff (1976) for nitrite, Kirkwood (1989) for phosphate and silicate, and Mantoura and Woodward (1983) for ammonium. The detection limits were 0.01 µ mol l -1 (nitrite), 0.02 µ mol l -1 (nitrate+nitrite), 0.03 µ mol l -1 (ammonium) and 0.02 µ mol l -1 (phosphate). There was no limit for silicate.

References

Kirkwood D., 1989. Simultaneous determination of selected nutrients in seawater. ICES CM 1989/C:29.

Brewer and Riley, 1965. The automatic determination of nitrate in sea water. Deep Sea Research, 12, 765-72.

Grasshoff K., 1976. Methods of seawater analysis. Verlag Chemie, Weiheim and New York, 317pp.

Mantoura R.F.C and Woodward E.M.S, 1983. Optimization of the indophenol blue method for the automated determination of ammonia in estuarine waters. Estuarine Coastal and Shelf Science, 17, 219-24.

BODC Data Processing Procedures

The data arrived at BODC in one Excel (.xlsx) file containing discrete samples collected from the DY008 underway non-toxic, pumped-seawater supply and the tow fish water sampler. Data received were loaded into the BODC database using established BODC data banking procedures.

Originator's variables were mapped to appropriate BODC parameter codes as follows:

Originator's Parameter Originator's Unit Description BODC Parameter Code BODC Unit
Nitrite µmol l -1 Concentration of nitrite {NO2- CAS 14797-65-0} per unit volume of the water body [dissolved plus reactive particulate phase] by colorimetric autoanalysis NTRIAATX µmol l -1
Nitrate+Nit µmol l -1 Concentration of nitrate+nitrite {NO3+NO2} per unit volume of the water body [dissolved plus reactive particulate phase] by colorimetric autoanalysis NTRZAATX µmol l -1
Ammonium µmol l -1 Concentration of ammonium {NH4+ CAS 14798-03-9} per unit volume of the water body [dissolved plus reactive particulate phase] by colorimetric autoanalysis AMONAATX µmol l -1
Silicate µmol l -1 Concentration of silicate {SiO44- CAS 17181-37-2} per unit volume of the water body [dissolved plus reactive particulate phase] by colorimetric autoanalysis SLCAAATX µmol l -1
Phosphate µmol l -1 Concentration of phosphate {PO43- CAS 14265-44-2} per unit volume of the water body [dissolved plus reactive particulate phase] by colorimetric autoanalysis PHOSAATX µmol l -1

Data Quality Report

Two underway samples were sent with no position metadata. One sample had only the collection date, but not the time. in this case it was not possible to identify where the sample had been collected and so the nutrient concentrations were not loaded to BODC's database. The second sample (Reference number: 1831525) had date and time and position metadata was extracted from the navigation data recorded by the ship's GPS systems during the cruise.

Problem Report

None. (BODC assessment)


Project Information

Shelf Sea Biogeochemistry (SSB) Programme

Shelf Sea Biogeochemistry (SSB) is a £10.5 million, six-year (2011-2017) research programme, jointly funded by the Natural Environment Research Council (NERC) and the Department for Environment, Food and Rural Affairs (DEFRA). The aim of the research is to reduce the uncertainty in our understanding of nutrient and carbon cycling within the shelf seas, and of their role in global biogeochemical cycles. SSB will also provide effective policy advice and make a significant contribution to the Living with Environmental Change programme.

Background

The Shelf Sea Biogeochemistry research programme directly relates to the delivery of the NERC Earth system science theme and aims to provide evidence that supports a number of marine policy areas and statutory requirements, such as the Marine Strategy Framework Directive and Marine and Climate Acts.

The shelf seas are highly productive compared to the open ocean, a productivity that underpins more than 90 per cent of global fisheries. Their importance to society extends beyond food production to include issues of biodiversity, carbon cycling and storage, waste disposal, nutrient cycling, recreation and renewable energy resources.

The shelf seas have been estimated to be the most valuable biome on Earth, but they are under considerable stress, as a result of anthropogenic nutrient loading, overfishing, habitat disturbance, climate change and other impacts.

However, even within the relatively well-studied European shelf seas, fundamental biogeochemical processes are poorly understood. For example: the role of shelf seas in carbon storage; in the global cycles of key nutrients (nitrogen, phosphorus, silicon and iron); and in determining primary and secondary production, and thereby underpinning the future delivery of many other ecosystem services.

Improved knowledge of such factors is not only required by marine policymakers; it also has the potential to increase the quality and cost-effectiveness of management decisions at the local, national and international levels under conditions of climate change.

The Shelf Sea Biogeochemistry research programme will take a holistic approach to the cycling of nutrients and carbon and the controls on primary and secondary production in UK and European shelf seas, to increase understanding of these processes and their role in wider biogeochemical cycles. It will thereby significantly improve predictive marine biogeochemical and ecosystem models over a range of scales.

The scope of the programme includes exchanges with the open ocean (transport on and off the shelf to a depth of around 500m), together with cycling, storage and release processes on the shelf slope, and air-sea exchange of greenhouse gases (carbon dioxide and nitrous oxide).

Further details are available on the SSB website.

Participants

15 different organisations are directly involved in research for SSB. These institutions are

In addition, there are third party institutions carrying out sampling work for SSB, but who are not involved in the programme itself. These are:

Research details

Overall, five Work Packages have been funded by the SSB programme. These are described in brief below:

Fieldwork and data collection

The campaign consists of the core cruises in the table below, to the marine shelf (and shelf-edge) of the Celtic Sea on board the NERC research vessels RRS Discovery and RRS James Cook. These cruises will focus on the physics and biogeochemistry of the benthic and pelagic zones of the water column, primarily around four main sampling sites in this area.

Cruise identifier Research ship Cruise dates Work packages
DY008 RRS Discovery March 2014 WP 2 and WP 3
JC105 RRS James Cook June 2014 WP 1, WP 2 and WP 3
DY026 RRS Discovery August 2014 WP1, WP 2 and WP 3
DY018 RRS Discovery November - December 2014 WP 1 and WP 3
DY021 (also known as DY008b) RRS Discovery March 2015 WP 2 and WP 3
DY029 RRS Discovery April 2015 WP 1 and WP 3
DY030 RRS Discovery May 2015 WP 2 and WP 3
DY033 RRS Discovery July 2015 WP 1 and WP 3
DY034 RRS Discovery August 2015 WP 2 and WP 3

Core cruises will be supplemented by partner cruises led by Cefas, MI, MSS, Bangor University and AFBI, spanning the shelf seas and shelf-edges around United Kingdom and Republic of Ireland.

Activities will include coring, Conductivity Temperature and Depth (CTD) deployments, Acoustic Doppler Current Profilers (ADCP) surveys, moorings and wire-walker deployments, benthic lander observatories, autonomous gliders and submersible surveys, Marine Snow Catcher particulate matter analysis, plankton net hauls, in-situ sediment flume investigations and laboratory incubations with core and sea water samples.


Data Activity or Cruise Information

Cruise

Cruise Name DY008
Departure Date 2014-03-18
Arrival Date 2014-04-13
Principal Scientist(s)Henry Ruhl (National Oceanography Centre, Southampton)
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