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Metadata Report for BODC Series Reference Number 1198835


Metadata Summary

Data Description

Data Category Hydrography time series at depth
Instrument Type
NameCategories
Star-Oddi Starmon mini temperature recorder  water temperature sensor
Instrument Mounting subsurface mooring
Originating Country United Kingdom
Originator Dr Jo Hopkins
Originating Organization National Oceanography Centre, Liverpool
Processing Status banked
Online delivery of data Download available - Ocean Data View (ODV) format
Project(s) FASTNEt
 

Data Identifiers

Originator's Identifier ST4#20120612/SM3581
BODC Series Reference 1198835
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2012-06-16 14:55
End Time (yyyy-mm-dd hh:mm) 2012-06-28 13:45
Nominal Cycle Interval 60.0 seconds
 

Spatial Co-ordinates

Latitude 48.64935 N ( 48° 39.0' N )
Longitude 9.10413 W ( 9° 6.2' W )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth 36.78 m
Maximum Sensor or Sampling Depth 36.78 m
Minimum Sensor or Sampling Height 119.37 m
Maximum Sensor or Sampling Height 119.37 m
Sea Floor Depth 156.15 m
Sea Floor Depth Source DATAHEAD
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 Approximate - Depth is only approximate
 

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
TEMPPR011Degrees CelsiusTemperature of the water body

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

Star-Oddi Starmon mini Temperature Recorder

Description

The Star-Oddi Starmon mini is a compact microprocessor-controlled temperature recorder with electronics and probe housed in a strong waterproof cylinder made of either plastic or titanium.

Specifications

Memory 350000 measurements, although memory size can optionally be increased to 524000 or 699000 measurements. Temperature readings are stored in non-volatile Electrically Erasable Programmable Read Only Memory (EEPROM).
Data Retention 20 years.
Temperature Range -2 °C to +40 °C with outside ranges available at request. The average resolution is 0.013 °C, and the measuring accuracy is +/-0.05 °C.
Maximum Depth Plastic version: 400 m (40 bar), titanium version: 11000 m (1100 bar)
Communication Link Downloaded via PC interface box. Connects to a computer via a RS-232C standard serial interface.
Battery A 3.6 V lithium battery with a life of 5 years for a sampling interval of 10 minutes or greater.

For more information please see the manufacturers specification sheet.

D376 moored instrumentation: Originator's data processing

Sampling Strategy

The RRS Discovery D376 was the first of two cruises funded by the NERC Consortium grant for the Fluxes Across the Sloping Topography of the North East Atlantic (FASTNEt) project. D376 was a 19 day cruise sailing on 11 June 2012 from Swansea dry dock to the Celtic Sea shelf edge where a total of four short term in-line moorings were deployed before returning to Southampton on 2 July 2012.

Data Processing

The Originator has supplied a full record of calibrated temperature and date/time for each minilogger file supplied. The Originator has supplied a full record of calibration temperature, pressure, conductivity, salinity and date/time for each MicroCAT and SEACAT file supplied.

The depth of each logger and sea floor depth was estimated from two methods. The pressure/depth record from the nearest or most appropriate MicroCAT or ADCP and the log sheets of planned and actual instrument depths and/or separations (relative to a subsurface float).

ST1 inline mooring - Pressure readings from the MicroCATs on the ST1 chain were within 0.25db of each other pre and post deployment. No adjustments were made. The ADCP pressure readings were noisy and therefore the Originator did not use this as a reference point.

ST2 inline mooring - Pressure readings from the MicroCATs on this chain were within 0.2 db of each other pre and post deployment. No adjustments were made.

ST3 Bedframe mooring - The SBE16+ SEACAT CTD Serial No 4848 was deployed at station 3. The originator has indicated that offsets have been applied where large instabilities were seen in the data.

ST4 inline mooring - Pressure readings from all MicroCATs on the ST4 chain were within 0.15 db and 0.2 db of each other immediately before and after deployment respectively. No adjustments were made.

ST4 Bedframe mooring - The SBE 37 SM MicroCAT Serial No 4550 was deployed at station 4. The originator has indicated that offsets have been applied where large instabilities were seen in the data.

ST5 inline mooring - Pressure readings from the MicroCATs on this chain were within 0.2-0.25db of each other pre and post deployment. No adjustments were made.

ST5 Bedframe mooring - The SBE 37 SMP MicroCAT Serial No 7769 was deployed at station 5. The originator has indicated that offsets have been applied where large instabilities were seen in the data.

Field Calibrations

All DST Centi Loggers (CT) and Starmon Miniloggers (SM) have been calibrated against CTD casts 60 and 61. These calibrations were performed following recovery of the short term moorings.

All Vemco Miniloggers (ML) were calibrated using the bath calibration performed in a temperature controlled bath before the cruise.

The pressure, temperature and conductivity recorded by the MicroCATs and SEACATs were compared immediately before and after deployment to assess any significant offsets needing correction.

The originator states it was not possible to remove all the smaller scale instances of thermal instability and therefore has been left to the end user to make any further corrections (or removal of data) that are appropriate for the type of analysis they wish to perform.

The Originator has created four gridded data sets of temperature and pressure corresponding to the short term moorings ST1, ST2, ST4 and ST5 using a mixture of Starmon mini loggers (SM), DST Centi loggers (CT),Vemco loggers (ML) and MicroCATs (MC). These gridded data sets have been linearly interpolated onto a one minute grid. The gridded data has not been included but is available from BODC at request.

The Originator has informed BODC that some Vemco miniloggers had a smaller memory and were therefore set to a lower sampling rate.

Serial numbers Sampling rate (seconds)
1070 to 3022 60
3616 240
3891 to 5593 120
6175 to 350783 60

Processing by BODC of RRS Discovery 376 short term mooring data

Data from three types of temperature loggers (DST Centi loggers, Vemco loggers and Starmon mini loggers) arrived at BODC in matlab files. This includes 28 DST Centi logger matlab files, 35 Vemco logger matlab files and 36 Starmon mini loggers matlab files with one file for each sensor used. The following table shows how the variables within the files were mapped to appropriate BODC parameter codes:

Originator's Variable Units Description BODC Parameter Code Units Comment
Temperature °C Temperature of the water body TEMPPR01 °C Applies to all files supplied.

The reformatted data were visualised using the in-house EDSERPLO software. Suspect data were marked by adding an appropriate quality control flag, missing data by both setting the data to an appropriate value and setting the quality control flag. The data files have been modified to remove data points that were gathered when the instruments were being deployed and recovered. These data points were deemed unstable by the Originator.

General Data Screening carried out by BODC

BODC screen both the series header qualifying information and the parameter values in the data cycles themselves.

Header information is inspected for:

  • Irregularities such as unfeasible values
  • Inconsistencies between related information, for example:
    • Times for instrument deployment and for start/end of data series
    • Length of record and the number of data cycles/cycle interval
    • Parameters expected and the parameters actually present in the data cycles
  • Originator's comments on meter/mooring performance and data quality

Documents are written by BODC highlighting irregularities which cannot be resolved.

Data cycles are inspected using time or depth series plots of all parameters. Currents are additionally inspected using vector scatter plots and time series plots of North and East velocity components. These presentations undergo intrinsic and extrinsic screening to detect infeasible values within the data cycles themselves and inconsistencies as seen when comparing characteristics of adjacent data sets displaced with respect to depth, position or time. Values suspected of being of non-oceanographic origin may be tagged with the BODC flag denoting suspect value; the data values will not be altered.

The following types of irregularity, each relying on visual detection in the plot, are amongst those which may be flagged as suspect:

  • Spurious data at the start or end of the record.
  • Obvious spikes occurring in periods free from meteorological disturbance.
  • A sequence of constant values in consecutive data cycles.

If a large percentage of the data is affected by irregularities then a Problem Report will be written rather than flagging the individual suspect values. Problem Reports are also used to highlight irregularities seen in the graphical data presentations.

Inconsistencies between the characteristics of the data set and those of its neighbours are sought and, where necessary, documented. This covers inconsistencies such as the following:

  • Maximum and minimum values of parameters (spikes excluded).
  • The occurrence of meteorological events.

This intrinsic and extrinsic screening of the parameter values seeks to confirm the qualifying information and the source laboratory's comments on the series. In screening and collating information, every care is taken to ensure that errors of BODC making are not introduced.


Project Information

Fluxes Across Sloping Topography of the North East Atlantic (FASTNEt)

Background

The FASTNEt consortium was funded to deliver NERC's Ocean Shelf Edge Exchange Programme. Commencing in October 2011, this four year study aims to couple established observational techniques, such as moorings and CTDs, with the very latest in autonomous sampling initiatives - including use of Autosub Long Range and gliders. With the aid of novel model techniques, these observations will be utilised to construct a new paradigm of Ocean/Shelf exchange.

Shelf edge regions mark the gateway between the world's deep oceans and shallower coastal seas, linking terrestrial, atmospheric and oceanic carbon pools and influencing biogeochemical fluxes. Shelf edge processes can influence near-shore productivity (and fisheries) and ultimately affect global climate.

FASTNEt brings together researchers from multiple UK organisations. Further collaboration has been established with five Project Partners: the UK Met Office, Marine Scotland Science, Agri-Food and Biosciences Institute, Marine Institute Ireland and Scripps Institution of Oceanography.

Scientific Objectives

  • To determine the seasonality of physical gradients and exchange across the shelf edge by deploying new observational technologies (gliders, Autosub Long Range) and established techniques (long term moorings, drifters)
  • To quantify key exchange mechanisms and to collect new data targeted at testing and improving high resolution models of the shelf edge, by carrying out detailed process studies in contrasting regions of the shelf edge of the NE Atlantic margin
  • To develop a new parameterisation of shelf edge exchange processes suitable for regional-scale models, using improved resolution numerical, and new empirical models constrained by the observations
  • To test the new parameterisations in a regional model in the context of making an assessment of inter-annual variability of ocean-shelf exchange.

Fieldwork

Three survey sites on the UK shelf edge have been selected for FASTNEt. These are a) the Celtic Sea shelf edge, b) Malin shelf and c) North Scotland shelf. Fieldwork is centred around two research cruises. The first, to the Celtic Sea, on RRS Discovery in June 2012. The second cruise visits the Malin shelf on RRS James Cook, during summer 2013. In addition to these dedicated cruises, opportunist cruise activity to the North Scotland shelf has been agreed with project partner Marine Scotland Science. Autonomous technologies will complement observations made during the cruises and provide knowledge of seasonal and inter-annual variability in exchange processes.

Instrumentation

Types of instruments/measurements:

  • Gliders
  • Autosub Long Range
  • Drifter buoys
  • Scanfish
  • Microstructure profilers
  • Moored CTD/CT loggers and ADCPs
  • Shipboard measurements: CTD, underway, nutrients (and other discrete sampling), LADCP, ADCP.

Contacts

Collaborator Organisation
Prof. Mark Inall (lead) Scottish Association for Marine Science, U.K
Dr. Jason Holt National Oceanography Centre, U.K
Dr. Peter Miller Plymouth Marine Laboratory, U.K
Dr. Mattias Green Bangor University, U.K
Prof. Jonathan Sharples University of Liverpool, U.K
Dr. Vasyl Vlasenko University of Plymouth, U.K

Data Activity or Cruise Information

Data Activity

Start Date (yyyy-mm-dd) 2012-06-16
End Date (yyyy-mm-dd) 2012-06-28
Organization Undertaking ActivityNational Oceanography Centre, Liverpool
Country of OrganizationUnited Kingdom
Originator's Data Activity IdentifierST4
Platform Categorysubsurface mooring

FASTNEt single point mooring ST4

The short term mooring ST4 was deployed and recovered during cruise RRS Discovery D376 which took place between 11 June 2012 to 2 July 2012 as part of the Fluxes Across the Sloping Topography of the North East Atlantic (FASTNEt) project.

The mooring was kept upright by a large sub-surface float (at 30 m depth), supplemented by groups of deeper smaller buoys. The mooring incorporated two pellets at 15 m depth.

Instruments deployed on the mooring

Instrument codes

CT - Star-Oddi DST centi-T Temperature Recorder

MC - SBE 37 MicroCAT

ML - Vemco Minilogger

SM - Starmon minilogger

Nominal depth (m) Instrument type Serial number
8.4 MC 5433
10.9 CT 3619
13.3 SM 3583
15.8 CT 3602
18.3 SM 3582
23.3 ML 1691
29.6 MC 6910
32.1 CT 3268
34.6 SM 3581
37.1 CT 4620
39.9 MC 6918
42.4 CT 4613
44.9 SM 3585
47.4 CT 4605
49.9 MC 6909
52.3 CT 4614
54.8 SM 3576
59.8 SM 3580
64.7 SM 3888
69.7 SM 3887
74.6 SM 3889
79.6 SM 3890
89.5 SM 3891
99.4 SM 3893
109.3 SM 3892
119.2 SM 3894
134.8 MC 8479

Related Data Activity activities are detailed in Appendix 1

Cruise

Cruise Name D376
Departure Date 2012-06-11
Arrival Date 2012-07-02
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

Appendix 1: ST4

Related series for this Data Activity are presented in the table below. Further information can be found by following the appropriate links.

If you are interested in these series, please be aware we offer a multiple file download service. Should your credentials be insufficient for automatic download, the service also offers a referral to our Enquiries Officer who may be able to negotiate access.

Series IdentifierData CategoryStart date/timeStart positionCruise
1199156Hydrography time series at depth2012-06-16 14:54:1748.64935 N, 9.10413 WRRS Discovery D376
1199168Hydrography time series at depth2012-06-16 14:54:4048.64935 N, 9.10413 WRRS Discovery D376
1199224Hydrography time series at depth2012-06-16 14:54:5848.64935 N, 9.10413 WRRS Discovery D376
1198000Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198085Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198141Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198221Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198270Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198282Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198301Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198454Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198779Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198823Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198847Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198859Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198872Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198884Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198896Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198903Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198915Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198927Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198939Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198940Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1198952Hydrography time series at depth2012-06-16 14:55:0048.64935 N, 9.10413 WRRS Discovery D376
1199119Hydrography time series at depth2012-06-16 14:55:0148.64935 N, 9.10413 WRRS Discovery D376
1199261Hydrography time series at depth2012-06-16 14:55:0148.64935 N, 9.10413 WRRS Discovery D376