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Metadata Report for BODC Series Reference Number 1217238


Metadata Summary

Data Description

Data Category Currents -subsurface Eulerian
Instrument Type
NameCategories
Teledyne RDI 300kHz Workhorse Monitor direct-reading ADCP  current profilers
Instrument Mounting lowered unmanned submersible
Originating Country United Kingdom
Originator Dr Marie Porter
Originating Organization Scottish Association for Marine Science
Processing Status banked
Online delivery of data Download available - Ocean Data View (ODV) format
Project(s) FASTNEt
 

Data Identifiers

Originator's Identifier D376_16M
BODC Series Reference 1217238
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2012-06-18 22:22
End Time (yyyy-mm-dd hh:mm) -
Nominal Cycle Interval 4.0 decibars
 

Spatial Co-ordinates

Latitude 49.19993 N ( 49° 12.0' N )
Longitude 8.50246 W ( 8° 30.1' W )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth 4.01 m
Maximum Sensor or Sampling Depth 148.22 m
Minimum Sensor or Sampling Height 1.78 m
Maximum Sensor or Sampling Height 145.99 m
Sea Floor Depth 150.0 m
Sea Floor Depth Source BUDS
Sensor or Sampling Distribution Variable common depth - All sensors are grouped effectively at the same depth, but this depth varies significantly during the series
Sensor or Sampling Depth Datum Instantaneous - Depth measured below water line or instantaneous water body surface
Sea Floor Depth Datum Instantaneous - Depth measured below water line or instantaneous water body surface
 

Parameters

BODC CODERankUnitsTitle
ACYCAA011DimensionlessSequence number
ADEPZZ011MetresDepth (spatial coordinate) relative to water surface in the water body
LCEWLW011Centimetres per secondEastward velocity of water current (Eulerian measurement) in the water body by lowered acoustic doppler current profiler (ADCP)
LCNSLW011Centimetres per secondNorthward velocity of water current (Eulerian measurement) in the water body by lowered acoustic doppler current profiler (ADCP)

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

D376 LADCP instrumentation

Sampling strategy

A single downward-looking LADCP unit was deployed on a CTD frame for 59 casts taken during cruise RRS Discovery D376. The LADCP data were collected using the instrumentation detailed below:

Instrument Serial # CTD casts Calibration
TRDI WHM 300kHz Workhorse ADCP 4275 1-4 Built-in pre-deployment tests (PA, PC2 and PT200) were run before each cast and the LADCP's real-time clock checked and re-synchronised with the ship's GPS clock.
TRDI WHM 300kHz Workhorse ADCP 12919 5-61 Built-in pre-deployment tests (PA, PC2 and PT200) were run before each cast and the LADCP's real-time clock checked and re-synchronised with the ship's GPS clock.

The initial LADCP unit was replaced after the forth CTD cast due to beam failure.

LADCP configuration

The instrument was configured to ping as fast as possible, use 27 bins, a blanking distance of 1.76 m and a bin size of 4 m thus yielding a range of approximately 108 m after the blanking distance. The ambiguity velocity was set to 175 cm-1 and pings per ensemble to 1.

Teledyne RDI's Workhorse Monitor ADCP

The Workhorse Monitor acoustic doppler current profler (Teledyne RD Instruments) is a long-range and long-term self contained ADCP. It has a patented four beam signal (300, 600 or 1200 kHz) and a standard depth rating of 200m or 600m. It operates effectively between temperatures of -5°C and 45°C and has a velocity accuracy of ±1% ±5mm/s.

D376 LADCP Originator processing

Sampling strategy

The following information contains extracts from the D376 cruise report.

The RSS 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. Led by the Scottish Association for Marine Science, D376 was a 19 day cruise setting sail from Swansea on 11 June 2012 to the Celtic Sea shelf edge and returning to Southampton on 2 July 2012.

Lowered Acoustic Doppler Current Profiler (LADCP) data were obtained from 59 CTD casts using a single RDI Workhorse LADCP deployed on the CTD frame.

After cast 4 the RDI Workhorse LADCP was replaced due to beam failure. The second ADCP had intermittent beam errors.

Data processing

All profiles were processed by the end of the cruise using 'Visbeck' routines recently adapted and improved (A.M. Thurnherr, 2008), and identified as LDEO version IX.5.

The profiles were combined with CTD data to provide accurate information on vertical velocity of the frame through the water, and with the ship's navigation data to calculate its exact position in the water using the ship as a reference.

References

Thurnherr, A.M. (2008). How To Process LADCP Data with the LDEO Software (last updated from version IX.5).

Inall.M.E. et al., (2000). RSS Discovery Cruise D376, Swansea to Southampton. FASTNEt Cruise to the Celtic Sea Shelf Edge. 11th June to 1st July 2012. A FASTNEt Cruise led by The Scottish Association for Marine Science. Internal Report No.28.

D376 LADCP processing undertaken by BODC

Data from two LADCP's, gathered when attached to the Sea-Bird 9plus underwater unit during the undertaking of 59 CTD casts; arrived at BODC in matlab files.

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
u (eastward velocity) m/s Eastward current velocity (Eulerian) in the water body by lowered acoustic doppler current profiler (ADCP) LCEWLW01 cm/s Conversion from originators units to BODC units are applied during transfer.
Unit conversion = *100
v (northward velocity) m/s Northward current velocity (Eulerian) in the water body by lowered acoustic doppler current profiler (ADCP) LCNSLW01 cm/s Conversion from originators units to BODC units are applied during transfer.
Unit conversion = *100
z (depth) m Depth below surface of the water body ADEPZZ01 m -

The reformatted data were visualised using the in-house EDSERPLO software. Suspect data were marked by adding an appropriate quality control flag, and missing data by both setting the data to an appropriate value and applying a quality control flag.

Additional data held at BODC

In addition to the above, BODC also hold the following variables listed below which have not undergone BODC processing or quality control.

For further information regarding any of the variables listed below please contact BODC.

Originator's Variable Description
zbot Depths of bottom track referenced velocity profile
ubot Eastward component of bottom-track referenced velocity profile
vbot Northward component of bottom-track referenced velocity profile
uerrbot Uncertainty estimates of bottom-track velocity profile
nvel Number of samples (superensembles) contributing to each value in LADCP velocity profile
ubar Eastward component of depth-average LADCP velocity profile
vbar Northward component of depth-average LADCP velocity profile
tim Time in "Gregorian decimal days" of LADCP time series
tim hour Time in fractional hours of LADCP time series
shiplat Ship latitude of LADCP time series
shiplon Ship longitude of LADCP time series
xship Eastward ship displacement of LADCP time series (m)
yship Northward ship displacement of LADCP time series (m)
uship Eastward ship velocity of LADCP time series
vship Northward ship velocity of LADCP time series
zctd CTD depth of LADCP time series
wctd Vertical CTD velocity of LADCP time series
uctd Eastward CTD velocity of LADCP time series
vctd Northward CTD velocity of LADCP time series
xctd Eastward CTD displacement of LADCP time series
yctd Northward CTD displacement of LADCP time series
uerr Uncertainty estimates of LADCP velocity profile
range ADCP range estimates of LADCP velocity profile
ts Target strength of downlooker bin #2 of LADCP velocity profile (dB)
ts out Target strength of furthest downlooker bin of LADCP velocity profile (dB)
p CTD pressure of LADCP velocity profile
uctderr Uncertainty estimates of CTD velocity of LADCP time series
u do Eastward component of baroclinic LADCP downcast velocity profile
v do Northward component of baroclinic LADCP downcast velocity profile
u up Eastward component of baroclinic LADCP upcast velocity profile
v up Northward component of baroclinic LADCP upcast velocity profile
ensemble vel err Estimates of ADCP single-ping velocity errors of LADCP velocity profile
u shear method Eastward component of shear-method-derived LADCP velocity profile
v shear method Northward component of shear-method-derived LADCP velocity profile
w shear method Vertical component of shear-method-derived LADCP velocity profile
ctd t CTD temperature of LADCP velocity profile
ctd s CTD salinity of LADCP velocity profile

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

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