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Metadata Report for BODC Series Reference Number 1972208


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 Yvonne Firing
Originating Organization National Oceanography Centre, Southampton
Processing Status QC in progress
Online delivery of data Download not available
Project(s) ORCHESTRA
 

Data Identifiers

Originator's Identifier 044DL000
BODC Series Reference 1972208
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2018-11-16 19:20
End Time (yyyy-mm-dd hh:mm) -
Nominal Cycle Interval 5.0 metres
 

Spatial Co-ordinates

Latitude 59.66667 S ( 59° 40.0' S )
Longitude 55.44441 W ( 55° 26.7' W )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth 5.0 m
Maximum Sensor or Sampling Depth 3665.0 m
Minimum Sensor or Sampling Height -
Maximum Sensor or Sampling Height -
Sea Floor Depth -
Sea Floor Depth Source -
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 -
 

Parameters

BODC CODERankUnitsTitle
ACYCAA011DimensionlessSequence number
ADEPZZ011MetresDepth (spatial coordinate) relative to water surface in the water body
ERRVLDCP1Centimetres per secondError velocity of water current in the water body by lowered acoustic doppler current profiler (ADCP)
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

Ocean regulation of Climate by Heat and Carbon Sequestration Transports (ORCHESTRA) data access

Access to these data is currently restricted to the consortium Principal Investigators and consortium co-workers. Anyone granted permission to use the data during this period of restriction must acknowledge the data originator on any resulting papers.


Data Policy

Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports (ORCHESTRA) Data Policy

The following data policy has been approved by the Steering Committee and will apply to all projects funded through ORCHESTRA:

  • Data should be lodged with the appropriate data centre on acquisition*, together with such appropriate metadata. BODC's guidance for data submission can be found under the General Guide to data submission and the specific guidance for the different data types (e.g CTD data, moored instrument data, water sample data) can be found as child pages from the General Guide.
  • Data would be embargoed for 2 year from acquisition, allowing the PI and co-workers to exploit it in the first instance. Metadata should not be embargoed, to allow the wider community to be aware of work being carried out under ORCHESTRA and facilitate community building.
  • Data should be made available to everyone after 2 years.
  • Co-authorship was discussed and agreed that it would not be required.
  • Agreed that any requests for data from outside the group need to be agreed by the data originator

* On acquisition: the time-scale may vary between data types (for example, real-time data could go directly to a data centre) but the overall aim is to keep the time-scale as short as possible and certainly less than 6 months. This is to ensure that data acquired during ORCHESTRA are available to the ORCHESTRA community within the lifetime of the programme.


Narrative Documents

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.

RRS James Clark Ross JR18002 ORCHESTRA Lowered Acoustic Doppler Current Profiler (LADCP): BODC Processing

The LADCP data were supplied to BODC as 53 matlab files and were converted to the BODC internal format. The following table shows how the variables within the files were mapped to appropriate BODC parameter codes:

Originator's Parameter Name Units BODC Parameter Code Units Comments
z m ADEPZZ01 m -
u m s-1 LCEWLW01 cm s-1 Units converted by multiplying by 100.
v m s-1 LCNSLW01 cm s-1 Units converted by multiplying by 100.
uerr m s-1 ERRVLDCP cm s-1 Units converted by multiplying by 100.

All reformatted data were visualised using the in-house Edserplo software and screened for suspect and missing data.

Please note that raw LADCP files and processed files using University of Hawaii's LADCP processing software are available on request.

RRS James Clark Ross JR18002 ORCHESTRA Lowered Acoustic Doppler Current Profiler (LADCP): Originators Data Processing

Sampling Strategy

A total of 71 LADCP stations were completed during JR18002. A 300 kHz Workhorse Monitor lowered acoustic Doppler current profiler (LADCP) was attached onto the CTD frame in a downward-looking configuration. Before each cast a pre-deployment script was run to test that the internal electronics were performing correctly.

Data Processing

The binary files recorded by the instrument were downloaded onto the local computer after each cast. All data were processed using matlab code developed at Lamont-Doherty Earth Observatory by Martin Visbeck and updated by Andreas Thurnherr (Version LDEO_IX 13). This package calculates velocity based on both shear and inversion methods. Processing was carried out using four sets of constraints:

  • ship navigation
  • ship navigation and bottom tracking
  • ship navigation and vessel-mounted ADCP
  • ship navigation, bottom tracking and vessel-mounted ADCP

Further information on the LADCP processing can be found in pages 20-22 of the cruise report.


Project Information

Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports (ORCHESTRA)

The Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports (ORCHESTRA) is a £8.4 million, five year (2016-2021) research programme funded by the Natural Environment Research Council (NERC). The aim of the research is to to advance the understanding of, and capability to predict, the Southern Ocean's impact on climate change via its uptake and storage of heat and carbon. The programme will significantly reduce uncertainties concerning how this uptake and storage by the ocean influences global climate, by conducting a series of unique fieldwork campaigns and innovative model developments.

Background

ORCHESTRA represents the first fully-unified activity by NERC institutes to address these challenges, and will draw in national and international partners to provide community coherence, and to build a legacy in knowledge and capability that will transcend the timescale of the programme itself.

It brings together science teams from six UK research institutions to investigate the role that the Southern Ocean plays in our changing climate and atmospheric carbon draw-down. It is led by British Antarctic Survey, in partnership with National Oceanography Centre, British Geological Survey, Plymouth Marine Laboratory, the Centre for Polar Observation and Modelling and the Sea Mammal Research Unit.

The oceans around Antarctica play a critical a key role in drawing down and storing large amounts of carbon and vast quantities of heat from from the atmosphere. Due to its remoteness and harsh environment, the Southern Ocean is the world's biggest data desert, and one of the hardest places to get right in climate models. The ORCHESTRA programme will make unique and important new measurements in the Southern Ocean using a range of techniques, including use of the world-class UK research vessel fleet, and deployments of innovative underwater robots. The new understanding obtained will guide key improvements to the current generation of computer models, and will enhance greatly our ability to predict climate into the future.

The scope of the programme includes interaction of the Southern Ocean with the atmosphere, exchange between the upper ocean mixed layer and the interior and exchange between the Southern Ocean and the global ocean.

Further details are available on the ORCHESTRA page.

Participants

Six different organisations are directly involved in research for ORCHESTRA. These institutions are:

  • British Antarctic Survey (BAS)
  • National Oceanography Centre (NOC)
  • Plymouth Marine Laboratory (PML)
  • British Geological Survey (BGS)
  • Centre for Polar Observation and Modelling (CPOM)
  • Sea Mammal Research Unit (SMRU)

GO-SHIP are a third party organisation that, although not directly involved with the programme, will conduct ship based observations that will also be used by ORCHESTRA.

Research details

Three Work Packages have been funded by the ORCHESTRA programme. These are described in brief below:

  • Work Package 1: Interaction of the Southern ocean with the atmosphere
    WP1 will use new observations of surface fluxes and their controlling parameters in order to better constrain the exchanges of heat and carbon loss across the surface of the Southern Ocean.

  • Work Package 2: Exchange between the upper ocean mixed layer and the interior.
    This work package will combine observationally-derived data and model simulations to determine and understand the exchanges between the ocean mixed layer and its interior.

  • Work Package 3: Exchange between the Southern Ocean and the global ocean .
    This WP will use budget analyses of the hydrographic/tracer sections to diagnose the three-dimensional velocity field of the waters entering, leaving and recirculating within the Southern Atlantic sector of the Southern ocean.

  • Fieldwork and data collection

    The campaign consists of 12 core cruises on board the NERC research vessels RRS James Clark Ross and RRS James Cook and will include hydrographic/tracer sections conducted across Drake Passage (SR1b), the northern Weddell Sea/Scotia Sea (A23), the northern rim of the Weddell Gyre (ANDREXII) and across the South Atlantic (24S). Section I6S will be performed by GO-SHIP Project Partners. Measurements will include temperature, salinity, dissolved oxygen, velocity, dissolved inorganic carbon, total alkalinity, inorganic nutrients, oxygen and carbon isotopes, and underway meteorological and surface ocean observations including pCO2.

    Tags will be deployed on 30 Weddel seals and these will provide temperature and salinity profiles that can be used alongside the Argo data.

    Autonomous underwater ocean gliders will conduct multi-month missions and will deliver data on ocean stratification, heat content, mixed layer depth and turbulent mixing over the upper 1 km, with previously-unobtainable temporal resolution. These gliders will be deployed in the Weddell Gyre and the ACC.

    Field campaigns with the MASIN meteorological aircrafts will be conducted flying out of Rothera and Halley research stations and the Falkland Islands. These campaigns will deliver information on key variables relating to air-sea fluxes (surface and air temperature, wind, humidity, atmospheric CO2, radiation, turbulent fluxes of heat, momentum and CO2), in different sea ice conditions and oceanic regimes.

    Eart Observation datasets will be used to inform the programme on the properties of the ocean, sea ice and atmosphere and on interactions between them.

    A cluster of 6 deep ocean moorings in the Orkney Passage will collect year round series of AABW temperatre and transport. This work connects to the NERC funded project Dynamics of the Orkney Passage Outflow (DYNOPO).

    The UK Earth System model (UKESM) and underlying physical model will be used to conduct analyses of heat and carbon uptake and transport by the Southern Ocean and their links to wider climate on decadal timescales.

    An eddy-resolving (1/12°) sector model of the ocean south of 30°S with 75 vertical levels, will be built using the NEMO model coupled to the Los Alamos sea ice (CICE) model. The improvements on the ocean boundary layer will be based from the results from the NERC-funded OSMOSIS project and the inclusion of tides.

    20-5 year runs of an adjoint model will be conducted to determine how key forcings and model states affect the uptake and subduction of heat and carbon by the ocean.


Data Activity or Cruise Information

Cruise

Cruise Name JR18002
Departure Date 2018-11-03
Arrival Date 2018-11-22
Principal Scientist(s)Yvonne L Firing (National Oceanography Centre, Southampton)
Ship RRS James Clark Ross

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