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Metadata Report for BODC Series Reference Number 1216801

Metadata Summary

Data Description

Data Category Currents -subsurface Eulerian
Instrument Type
Teledyne RDI 300kHz Workhorse Monitor direct-reading ADCP  current profilers
Instrument Mounting lowered unmanned submersible
Originating Country United Kingdom
Originator Dr Alex Forryan
Originating Organization National Oceanography Centre, Southampton
Processing Status banked
Online delivery of data Download available - Ocean Data View (ODV) format
Project(s) OSMOSIS

Data Identifiers

Originator's Identifier JC90LADCP_2
BODC Series Reference 1216801

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2013-09-03 19:45
End Time (yyyy-mm-dd hh:mm) -
Nominal Cycle Interval 8.0 metres

Spatial Co-ordinates

Latitude 48.68030 N ( 48° 40.8' N )
Longitude 16.19080 W ( 16° 11.4' W )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth 8.0 m
Maximum Sensor or Sampling Depth 232.0 m
Minimum Sensor or Sampling Height 4581.0 m
Maximum Sensor or Sampling Height 4805.0 m
Sea Floor Depth 4813.0 m
Sea Floor Depth Source CRREP
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


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

These data have no specific confidentiality restrictions for users. However, users must acknowledge data sources as it is not ethical to publish data without proper attribution. Any publication or other output resulting from usage of the data should include an acknowledgment.

If the Information Provider does not provide a specific attribution statement, or if you are using Information from several Information Providers and multiple attributions are not practical in your product or application, you may consider using the following:

"Contains public sector information licensed under the Open Government Licence v1.0."

Narrative Documents

JC090 LADCP Instrumentation

Sampling Strategy

LADCP deployments were carried out during RSS James Cook cruise JC090 using the instrumentation detailed below.

The ADCP was attached to a Sea-Bird 9plus CTD frame during each deployment.

Instrument Serial #
TRDI WHM 300kHz Workhorse ADCP 15288
LADCP battery pack WH005

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.

JC090 LADCP Originator Processing

Sampling Strategy

Lowered Acoustic Doppler Current Profiler (LADCP) data were gathered during the RRS James Cook JC090 cruise which was undertaken as the concluding phase of the Ocean Surface Mixing, Ocean Sub-mesoscale Interaction Study (OSMOSIS), funded by NERC.

The 17 day cruise departed Vigo on 31 August 2013, returning to dock in Santander on 16 September 2013. During the cruise the LADCP was deployed nine times in conjunction with a Sea-Bird CTD at stations around the Porcupine Abyssal Plain Observatory in the Atlantic Ocean.

The ADCP sampled 16 bins of 10 m length at intervals of 1 second, yielding a range of approximately 165 m in ideal conditions.

Data Processing

The data collected by the instrument were downloaded after each cast and stored as RDI binary files. The data were then processed following the cruise using the latest version of software provided by Lamont- Doherty Earth Observatory (LDEO) which calculates velocities using an inverse method.

Field Calibrations

The real-time clock of the LADCP was checked prior to deployment and resynchronised with the ship's GPS clock if it was more than a few seconds in error and built-in pre-deployment tests (PA and PT200) were run before each cast.


Thurnherr, A.M., (2014). How to Process LADCP Data with the LDEO Software (versions IX.7 - IX.10)

JC090 LADCP Processing undertaken by BODC

The data arrived at BODC in a single matlab file. The file contained u, v and z data collected from 9 LADCP deployments undertaken during cruise JC090. The data were reformatted to BODC's internal NetCDF format and the following table shows the mapping of variables within the .mat file to the 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 = u*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 = v*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, missing data by both setting the data to an appropriate value and setting the quality control flag.

Additional data held at BODC

In addition to the above, BODC also hold the raw binary workhorse LADCP output files and the associated 1 Hz CTD files with calibrated salinity. These files can be used to reprocess the LADCP if desired.

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

Ocean Surface Mixing, Ocean Sub-mesoscale Interaction Study (OSMOSIS)


The Ocean Surface Mixing, Ocean Sub-mesoscale Interaction Study (OSMOSIS) consortium was funded to deliver NERC's Ocean Surface Boundary Layer (OSBL) programme. Commencing in 2011, this multiple year study will combine traditional observational techniques, such as moorings and CTDs, with the latest autonomous sampling technologies (including ocean gliders), capable of delivering near real-time scientific measurements through the water column.

The OSMOSIS consortium aims to improve understanding of the OSBL, the interface between the atmosphere and the deeper ocean. This layer of the water column is thought to play a pivotal role in global climate and the productivity of our oceans.

OSMOSIS involves collaborations between scientists at various universities (Reading, Oxford, Bangor, Southampton and East Anglia) together with researchers at the National Oceanography Centre (NOC), Scottish Association for Marine Science (SAMS) and Plymouth Marine Laboratory (PML). In addition, there are a number of project partners linked to the consortium.

Scientific Objectives

  • The primary goal of the fieldwork component of OSMOSIS is to obtain a year-long time series of the properties of the OSBL and its controlling 3D physical processes. This is achieved with an array of moorings (two nested clusters of 4 moorings, each centred around a central mooring) and gliders deployed near the Porcupine Abyssal Plain (PAP) observatory. Data obtained from this campaign will help with the understanding of these processes and subsequent development of associated parameterisations.
  • OSMOSIS will attempt to create parameterisations for the processes which determine the evolving stratification and potential vorticity budgets of the OSBL.
  • The overall legacy of OSMOSIS will be to develop new (physically based and observationally supported) parameterisations of processes that deepen and shoal the OSBL, and to implement and evaluate these parameterisations in a state-of-the-art global coupled climate model, facilitating improved weather and climate predictions.


Three cruises are directly associated with the OSMOSIS consortium. Preliminary exploratory work in the Clyde Sea (September 2011) to hone techniques and strategies, followed by a mooring deployment and recovery cruise in the vicinity of the Porcupine Abyssal Plain (PAP) observatory (in late Summer 2012 and 2013 respectively). Additional opportunist ship time being factored in to support the ambitious glider operations associated with OSMOSIS.


Types of instrumentation and measurements associated with the OSMOSIS observational campaign:

  • Ocean gliders
  • Wave rider buoys
  • Towed SeaSoar surveys
  • Microshear measurements
  • Moored current meters, conductivity-temperature sensors and ADCPs
  • Traditional shipboard measurements (including CTD, underway, discrete nutrients, LADCP, ADCP).


Collaborator Organisation
Prof. Stephen Belcher University of Reading, U.K
Dr. Alberto C Naveira Garabato University of Southampton, U.K

Data Activity or Cruise Information


Cruise Name JC090
Departure Date 2013-08-31
Arrival Date 2013-09-16
Principal Scientist(s)Alberto C Naveira Garabato (University of Southampton School of Ocean and Earth Science)
Ship RRS James Cook

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