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Metadata Report for BODC Series Reference Number 1761270


Metadata Summary

Data Description

Data Category Bathymetry
Instrument Type
NameCategories
Kongsberg (Simrad) EA600 Echosounder  single-beam echosounders
Kongsberg Seatex Seapath 320+ Precise Heading, Attitude and Positioning Sensor  Global Navigation Satellite System receivers; Differential Global Positioning System receivers; inertial navigation systems
Sperry Marine MK37 series gyrocompasses  platform attitude sensors
Instrument Mounting research vessel
Originating Country United Kingdom
Originator Dr Rosie Chance
Originating Organization University of York Department of Chemistry
Processing Status banked
Online delivery of data Download available - Ocean Data View (ODV) format
Project(s) ACCACIA
Arctic Research Programme
 

Data Identifiers

Originator's Identifier JR20130713-PRODQXF_NAV
BODC Series Reference 1761270
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2013-07-13 10:31
End Time (yyyy-mm-dd hh:mm) 2013-08-16 10:35
Nominal Cycle Interval 60.0 seconds
 

Spatial Co-ordinates

Start Latitude 53.54250 N ( 53° 32.5' N )
End Latitude 83.32400 N ( 83° 19.4' N )
Start Longitude 20.70033 W ( 20° 42.0' W )
End Longitude 34.83600 E ( 34° 50.2' E )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth -
Maximum Sensor or Sampling Depth -
Minimum Sensor or Sampling Height -
Maximum Sensor or Sampling Height -
Sea Floor Depth -
Sea Floor Depth Source -
Sensor or Sampling Distribution -
Sensor or Sampling Depth Datum -
Sea Floor Depth Datum -
 

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)
ALATGP011DegreesLatitude north relative to WGS84 by unspecified GPS system
ALONGP011DegreesLongitude east relative to WGS84 by unspecified GPS system
APEWGP011Centimetres per secondEastward velocity of measurement platform relative to ground surface by unspecified GPS system
APNSGP011Centimetres per secondNorthward velocity of measurement platform relative to ground surface by unspecified GPS system
DSRNCV011KilometresDistance travelled
HEADCM011DegreesOrientation (horizontal relative to true north) of measurement device {heading}
MBANZZ011MetresSea-floor depth (below instantaneous sea level) {bathymetric depth} in the water body by echo sounder

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

Public domain 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.

The recommended acknowledgment is

"This study uses data from the data source/organisation/programme, provided by the British Oceanographic Data Centre and funded by the funding body."


Narrative Documents

ACCACIA RRS James Clark Ross JR20130713 (JR288) Underway Cruise Document

Cruise details

Dates 2013-07-13 — 2013-08-16
Principal Scientific Officer

Lucy Carpenter, University of York

Rosie Chance, University of York

Data supplied by Polar Data Centre, British Antarctic Survey

RRS James Clark Ross departed from TImmingham, United Kingdom on 13 July 2013 and docked in Dundee, United Kingdom on 16 August 2013.

This was the second cruise of the NERC funded project called Aerosol-Cloud Coupling and Climate interactions in the Arctic (ACCACIA). The aims of the cruise were to:

  • obtain surface based in-situ measurements of marine aerosol composition and properties and aerosol precursos gases (DMS, VOC, halocarbon)
  • Collect standard oceanographic measurements such as salinity, chlorophyll-a and nutrient concentrations
  • Conduct bubble tank experiments to develop a primary multicomponent seaspray aerosol flux parameterisation

The data provided to BODC includes the entire cruise period from 2013-07-13 — 2013-08-16. Date and time were supplied in UT. The span of the data covers all scientific activities.

Kongsberg EA600 Single Beam Echosounder

The EA600 is a single beam echosounder with full ocean depth capability designed for bathymetric surveys. It measures water depth by monitoring the travel time of an acoustic signal that is transmitted from the ship, reflected off the seabed and received back at the ship.

The main components of the system are hull-mounted transducers linked to general purpose transceivers (GPTs). Up to four GPTs, each controlling one or more transducers, may be operated simultaneously. The GPT generates a signal, which is transmitted into the water column as an acoustic pulse by the transducer array, and the returning echo is recorded by the GPT. GPTs are in turn linked to a combined display and processor, where adjustments (such as sound-speed corrections) may be applied to the data. Available frequencies span from 12 to 710 kHz, and each GPT may operate at a separate frequency. A variety of transducers is available for water depths up to 11,000 m.

The EA600 stores all data internally but has a USB port which allows the possibility of connecting a CD-ROM/DVD drive to read and write the data. All echo data can be stored as files: bitmap, sample, depth or sidescan data.

In deeper waters, the EA600 supports a multipulse function, allowing for a higher pinger rate. While on passive mode, the pinger is normally attached to a device, with the purpose of tracking and displaying its current depth.

The EA600 replaced the EA500 in 2000.

Specifications

Maximum Ping rate 20 Hz
Resolution 1 cm
Accuracy

1 cm at 710 and 200 kHz
2 cm at 120 kHZ
5 cm at 38 kHz
10 cm at 18 kHz
20 cm at 12kHz

Operating frequencies 1 or 2 kHz
Single Beam frequencies

12, 18, 33, 38, 50, 70,
120, 200, 210 or 710 kHz

Dynamic range 160 dB

Further details can be found in the manufacturer's specification sheet.

Kongsberg Seatex Seapath 320+ Precise Heading, Attitude and Positioning Sensor

The Seapath 320+ is a navigational system that combines two Global Navigation Satellite System (GNSS) receivers with a MRU 5+ inertial sensor to provide high resolution and accuracy positional data. The inertial sensor employs linear accelerometers and unique microelectromechanical systems (MEMS)-type angular rate gyros to provide 0.01 RMS pitch and roll accuracy. The GNSS receivers can use multiple satellite constellations (GPS, GLONASS and Galileo, when available), and combine data from these to improve heading and positional measurements. In case of missing data from one GNSS receiver, the other receiver provides position and velocity, and the inertial sensor provides heading from its internal rate sensors.

The main characteristics are presented below, and the specification sheet can be accessed here Kongsberg Seatex Seapath 320+ .

Specifications

Heading accuracy

0.04° RMS (4m baseline)

0.065° RMS (2.5 baseline)

Roll and pitch accuracy 0.02° RMS for ± 5° amplitude
Scale factor error in roll, pitch and heading 0.05% RMS
Heave accuracy (real time) 5 cm or 5%, whichever is highest
Heave accuracy (delayed signal) 2 cm or 2%, whichever is highest
Heave motion periods (real time) 1 to 20 seconds
Heave motion periods (delayed signal) 1 to 50 seconds
Position accuracy (DGPS/DGlonass) 1 m (95% CEP)
Position accuracy (SBAS) 1 m (95% CEP)
Position accuracy (with RTK corrections) 0.2 m (95% CEP)
Velocity accuracy 0.07 m s-1 (95% CEP)
Data update rate Up to 100Hz

Sperry Marine MK-37 Gyrocompass

A family of instruments that contain a controlled gyroscope which seeks and aligns itself with the meridian and points to true north. They use the properties of the gyroscope in combination with the rotation of the earth and the effect of gravity. The effects of varying speed and latitude are compensated for by the use of manually operated controls. Models MOD I, MOD O, MOD D, MOD D/E are all with an analog output Step or/and Syncro. MOD VT is the latest model with NMEA Data output as well.

Further specifications for MOD VT can be found in the manufacturer's specification document.

Further information for MOD D/E can be found in the user manual.

ACCACIA RRS James Clark Ross JR20130713 (JR288) ACCACIA Underway Navigation Document

Content of data series

Parameter Units Parameter code Comments
Latitude Degrees (+ve N) ALATGP01 -
Longitude Degrees (+ve E) ALONGP01 -
Ship's heading degrees HEADCM01 Raw data
Ship's eastward velocity cm s-1 APEWGP01 Derived by BODC
Ship's northward velocity cm s-1 APNSGP01 Derived by BODC
Distance run km DSRNCV01 Derived by BODC
Bathymetry m MBANZZ01 Echosounder bathymetry

Instrumentation

The following scientific navigational and bathymetry systems were fitted.

Manufacturer Model Type Comments
Seatex Seapath 320+ GPS Primary GPS
Ashtech ADU5 GPS Secondary GPS
Glonass GG24 GPS Secondary GPS
Furuno GP32 GPS Secondary GPS
Chernikeef Mk5 Aquaprobe EM Log Ship's speed logger
TSSHRP - - Ship's motion
Sperry Marine Mk37 model D Gyrocompass Ship's orientation
Kongsberg EA600 Single beam echo sounder -
Kongsberg EM122 Deep water multi-beam echo sounder -

Data Processing Procedures

Originator's Data Processing

A number of navigation parameters (position, heading, bathymetry) were obtained from the different instruments installed on board the RRS James Clark Ross. The data were not processed by the PSO or other scientists on board the cruise or, at a later stage, at the office.

Files delivered to BODC

Filename Content description Format Interval Start date/time (UTC) End date/time (UTC)
seatex-gga Navigation data .ACO 2 seconds 12/07/2013 08:59:44 hours 16/08/2013 11:10:00 hours
gyro Ship's orientation data .ACO 2 seconds 12/07/2013 08:59:44 hours 16/08/2013 11:10:00 hours
ea600 Echosounder bathymetry data .ACO 1 second 12/07/2013 08:59:56 hours 16/08/2013 11:09:58 hours
em122 Swath bathymetry data .ACO 19 seconds 06/08/2013 11:00:20 hours 07/08/2013 19:12:45 hours

BODC Data Processing

The data were banked at BODC following standard data banking procedures, including reduction to 60 seconds, checking navigation channels for improbable values, working out ship's speed, and screening the data for anomalous values.

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

seatex-gga.ACO

Originator's variable Originator's units Description BODC Code BODC Units Unit conversion
seatex-gga-lat decimal degrees Latitude north (WGS84) by unspecified GPS system ALATGP01 decimal degrees -
seatex-gga-lon decimal degrees Longitude east (WGS84) by unspecified GPS system ALONGP01 decimal degrees -

gyro.ACO

Originator's variable Originator's units Description BODC Code BODC Units Unit conversion
gyro-heading degrees Orientation (horizontal relative to true north) of measurement device {heading} HEADCM01 degrees -

ea600.ACO

Originator's variable Originator's units Description BODC Code BODC Units Unit conversion
ea600-depth m Sea-floor depth (below instantaneous sea level) {bathymetric depth} in the water body by echo sounder MBANZZ01 m -

ea600.ACO

Originator's variable Originator's units Description BODC Code BODC Units Unit conversion
em122-depth m Sea-floor depth (below instantaneous sea level) {bathymetric depth} in the water body by multibeam echo sounder central beam MBANSWCB m -

All 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.

Position

A check was run on the position data and no gaps or speed fails were identified.

Ship's velocities

Ship's eastward and northward velocities were calculated from the main latitude and longitude channels.

Bathymetry

Bathymetry data from both the echosounder and multibeam were loaded and screened. During visual checks, it was clear that MBANSWCB only had a very small period with data, so it was decided to not include this channel in the final file. This channel s however available upon request

M flags were applied to MBANZZ01 whenever data were considered suspect, including periods when values dropped to zero. Data should be used with caution.

Distance Run

Distance run was calculated from the main latitude and longitude channels, starting from the beginning of the file.


Project Information

ACCACIA- Aerosol Cloud Coupling and Climate Interactions in the Arctic

The ACCACIA project is a £2.05 million component of the Natural Environment Research Council (NERC) Arctic Research programme (ARP) running from 2012 to 2016. The aim of ACCACIA is to collect data using both airplanes and ships based in the Svalbard archipelago near the margin of permanent Arctic sea ice cover and study fluxes of solar and infrared radiation above and below the clouds, the vertical structure of the low-level atmosphere and how aerosol concentration levels change with the seasons and with the extent of sea-ice cover. The results from this research will inform not only cutting-edge modelling of the global climate system and predictions for future climatic change, but also more immediate weather forecasts for mid-to-high-latitude locations such as the UK.

Background

Over most of the globe low clouds act to cool the surface since they reflect sunlight; over the arctic the highly reflective ice surface reduces the significance of cloud reflectivity, and the absorption of infrared radiation by cloud water droplets becomes the dominant effect - this acts to trap heat below cloud, warming the surface. Although climate models generally show a strong greenhouse warming effect in the Arctic, they also disagree with each other more in the Arctic than anywhere else, producing a wider range of possible future climate conditions. The models also tend not to be able to reproduce current Arctic climate conditions very accurately. This large uncertainty in models of the Arctic climate results primarily from poor representation of physical processes within the models, and some unique and particularly challenging conditions. The largest single source of uncertainty is the representation of clouds. The models use simple representations of cloud properties that were developed from observations in mid latitude or tropical cloud systems - very different conditions from those that exist in the Arctic.

The main activities of this project are to make airborne in situ measurements of cloud microphysical properties, the vertical structure of the boundary layer and aerosol properties, and the fluxes of solar and infra red radiation above, below, and within cloud. It will also measure the production rates and properties of aerosol at the surface and their variability with season and extent of sea ice cover. These measurements will be used, along with a range of numerical models of aerosol and cloud processes, and atmospheric dynamics to evaluate the interactions between sea ice extent, aerosol production and cloud properties. New and improved descriptions of these processes suitable for use within climate models will be developed, tested, and implemented within the MetOffice climate model HadGEM. The ability of the current MetOffice models to reproduce the observed Arctic cloud and boundary layer properties will be tested and the impact of the new parameterization schemes evaluated. Finally we will undertake a series of climate simulations to examine how future climate will evolve, and the feedbacks between warming of the Arctic, melting of sea ice, production of aerosol, and the properties of clouds evaluated.

Participants

Dr Ian Brooks is the Lead Investigator and Professor Lucy Carpenter and Dr Amélie Kirchgaessner are Co-Investigators. The project is made up of collaborations with universities and research organisations including:

  • British Antarctic Survey
  • University of East Anglia
  • University of Leeds
  • University of Manchester
  • University of York

Fieldwork and data collection

The ACCACIA project involves the collection of data in the Svalbard archipelago near the margin of permanent sea ice cover using research vessels as well as the BAS MASIN and FAAM BAe146 aircrafts. The project consisted of two cruises, as detailed below:

Cruise identifier Research ship Cruise dates
Lance ACCACIA RV Lance 15 March 2013 - 31 March 2013
JR20130713 (JR288) RRS James Clark Ross 13 July 2013 - 16 August 2013

The aims of the research cruises are to make surface based in-situ measurements of marine aerosol composition and its properties, and aerosol precursor gases including DMS, VOCs and halocarbons. Trace gases were measured in air and water, and high volume aerosol samples were collected for off-line characterisation of organic composition. Ambient aerosol measurements and bubble tank experiments were conducted to characterise aerosol physical and chemical properties using a suite of instrumentation by the Manchester group. Together with black carbon/soot optical measurements and CCN measurements made as function of particle size and super-saturation, these will be used as input in cloud microphysical models to investigate their influence on aerosol-cloud feedback sensitivity whereas bubble tank results will be used to develop a primary multicomponent sea-spray aerosol flux parameterisation.


Arctic Research Programme

The Arctic Research Programme (ARP) is a £15m, five year (2010-2015) research programme funded by the Natural Environment Research Council (NERC). The aim of the programme is to improve our capability to predict changes in the Arctic, particularly over timescales of months to decades, including regional impacts and the potential for feedbacks on the global Earth System.

Background

The Arctic is a region of higher than average climate change and is predicted to remain so, the main evidences of this rapid climate change are the loss of summer sea ice, the thawing of permafrost (perennially frozen earth), melting of land ice, including ice sheets and glaciers, and the changing physical environment of Arctic ecosystems.

The Arctic represents a critical region for global environmental change and one where the UK has significant strategic interests. Understanding the drivers and feedbacks of this change, and predicting its scale and rate on timescales from months to decades, represents a major and urgent global scientific challenge of great societal importance.

The Arctic Programme will focus on four linked scientific objectives:

  • Understanding and attributing the current rapid changes in the Arctic
  • Quantifying processes leading to Arctic methane and carbon dioxide release
  • Reducing uncertainty in Arctic climate and associated regional biogeochemistry predictions
  • Assessing the likely risks of submarine hazards associated with rapid Arctic climate change

Deliverables from this programme will include:

  • New or improved models for process studies
  • Improved parameterisation of Arctic processes
  • Improved capabilities for predicting changes in the Arctic
  • Interpretation of current Arctic climate change and its implications for policy makers and Arctic communities

To achieve these objectives and deliverables, the Arctic Research Programme will aim to harness and co-ordinate UK scientific expertise and facilities in these areas, and link these to other international efforts. Fieldwork is expected to be highly interdisciplinary, potentially involving campaigns on land and ice stations, from ships, aircraft and satellites. Work on understanding longer term change in the Arctic will involve sediment cores and sampling on land. The use of a range of numerical models leading to improved predictability will be a vital element of this programme. Process-level understanding developed through observation-based work will be used to improve model components, and these will be used to test the impact of the processes on large-scale predictions. Clearly, integrated and innovative research across all science areas will be needed to achieve the programme's objectives.

Further details can be found on the ARP website.

Participants

34 different partner institutions are involved with the ARP. These are:

  • University of Aberdeen
  • Bangor University
  • British Antarctic Survey
  • British Geological Survey
  • Centre for Ecology and Hydrology
  • University of Cambridge
  • University of Dundee
  • Durham University
  • University of East Anglia
  • University of Leeds
  • Loughborough University
  • University of Manchester
  • National Centre for Atmospheric Science
  • National Oceanography Centre
  • University of Nottingham
  • Office of Naval Research
  • University of Oxford
  • University of Portsmouth
  • University of Reading
  • Royal Holloway, University of London
  • University of Sheffield
  • University of Southampton
  • University of Stirling
  • University of Sussex
  • University College London
  • University of Ulster
  • University of York
  • Natural Environment Research Council
  • Department for Energy and Climate Change
  • Department for Environment, Food and Rural Affairs
  • Foreign and Commonwealth Office
  • Met Office
  • Royal Navy
  • Living with Environmental Change

Research details

Overall 15 projects have been funded through ARP:

  • ACCACIA- Aerosol Cloud Coupling and Climate Interactions in the Arctic
  • APPOSITE- Arctic Predictability and Prediction on Seasonal to Inter-annual Timescales
  • CYCLOPS- Carbon Cycling Linkages to Permafrost Systems
  • HYDRA- Hydrological Controls on Carbon Cycling and Greenhouse Gas Budgets
  • LAC- Lakes and the Arctic Carbon Cycle
  • Landslide-Tsunami
  • MAMM- Methane and other Greenhouse Gases in the Arctic: Measurements, Process Studies and Modelling
  • SEATS- Submarine Estimates of Arctic Turbulence Spectra
  • TEA-COSI- The Environment of the Arctic: Climate, Ocean and Sea-Ice
  • Arctic methane hydrates and climate change
  • Canadian Archipelago Oceanography
  • Effects of a warming climate on the key organic carbon cycle processes in the Eurasian Arctic
  • Is the Arctic methane budget changing?
  • MIZ- The role to atmospheric, ice and oceanic interactions in the marginal ice zone
  • MIZ-WAVE- Wave-ice interaction and the marginal ice zone

Data Activity or Cruise Information

Cruise

Cruise Name JR20130713 (JR288)
Departure Date 2013-07-13
Arrival Date 2013-08-16
Principal Scientist(s)Lucy J Carpenter (University of York Department of Chemistry), Rosie Chance (University of York Department of Chemistry)
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