Metadata Report for BODC Series Reference Number 1981537
Metadata Summary
Problem Reports
Data Access Policy
Narrative Documents
Project Information
Data Activity or Cruise Information
Fixed Station Information
BODC Quality Flags
SeaDataNet Quality Flags
Metadata Summary
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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
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 |
Operating frequencies | 1 or 2 kHz |
Single Beam frequencies | 12, 18, 33, 38, 50, 70, |
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 |
RRS James Clark Ross cruise JR17005 navigation instrumentation
The following scientific navigational and bathymetric systems were fitted.
Manufacturer | Model | Function | Comments |
Seatex | Seapath 320+ | GPS (latitude, longitude and ships heading) | Primary source of position for science. |
Sperry Marine | MK37 gyro | Heading | - |
Kongsberg Maritime | Simrad EA600 | Single-beam echo sounder (hull) | - |
Kongsberg Maritime | Simrad EM122 | Multi-beam echo sounder (deep) | - |
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.
RRS James Clark Ross Cruise JR17005 Navigation and Bathymetry Processing Procedures Document
Originator's Data Processing
The navigation and bathymetric data were measured by several different instruments and the data were logged every second to the SCS system and stored in comma separated ACO format. Each instrument logged data to one individual file and the associated header information is stored in TPL files.
Position and bathymetry were then further processed by the originator by filtering noise and erroneous measurements, and then applying per minute medians to generate smoothed data and smaller file sizes. Further information on processing can be found in the originator's supporting document.
The table below shows the original files delivered to BODC that contained the data in the final data series, along with start and end dates and times of each file.
Filename | Content Description | Format | Interval | Start date | Start Time | End date | End Time |
JR17005_underway_calibrated.mat | Position, bathymetry | .MAT | 60 sec | 13-05-2018 | 00:00:00 | 07-06-2018 | 06:43 |
seatex-vtg.ACO | Ship speed and direction | SCS | 1 sec | 08-05-2018 | 10:01:22 | 08-06-2018 | 06:22:52 |
gyro.ACO | Heading | SCS | 1 sec | 08-05-2018 | 10:01:24 | 08-06-2018 | 06:23:43 |
BODC Data Processing
The data were reformatted to BODC internal format using standard banking procedures. Data were averaged at 60 second intervals. The following table shows how variables within the file were mapped to appropriate BODC parameter codes:
Originator's File | Originator's Parameter | Originator's Units | Description | BODC parameter | BODC Unit s | Comments |
JR17005_underway_calibrated.mat | dd | - | Matlab serial date | - | - | - |
JR17005_underway_calibrated.mat | depth | metres | Sea floor depth (single-beam) | MBANZZ01 | m | - |
JR17005_underway_calibrated.mat | lat | degrees | Latitude | ALATGP01 | degrees | - |
JR17005_underway_calibrated.mat | lon | degrees | Longitude | ALONGP01 | degrees | - |
gyro.ACO | gyro-heading | degrees true | Ship heading | HEADCM01 | degrees true | - |
oceanlogger.ACO | flowrate | l/min | Flow rate | INFLTF01 | l/min | - |
seatex-vtg.ACO | cmg | degrees | Ship direction | APDAGP01 | degrees | - |
seatex-vtg.ACO | sog | knots | Ship speed | APSAGP01 | m/s | X 0.5144444 |
All the reformatted data were visualised using the in-house EDSERPLO software. Suspect data were marked by adding an appropriate quality control flag.
Position
A check was run on positional data to identify gaps and improbable values (through the calculation of speed). There was one gap in the positional data at the start and end of the file, produced during loading to the BODC system. These gaps were trimmed after processing was complete.
Ship velocities
Ship velocities were calculated from the main latitude and longitude channels using standard BODC procedures.
Distance Run
Distance run was calculated from the main latitude and longitude channels, starting from the beginning of the file, using BODC standard procedures.
GEBCO
GEBCO bathymetry was added to the file using the main latitude and longitude channels to aid screening.
Bathymetry
Bathymetry data were screened independently as well as against GEBCO bathymetry measurements.
Calibration
No sample calibrations were applied to these data.
Project Information
Changing Arctic Ocean: Implications for marine biology and biogeochemistry
Changing Arctic Ocean (CAO) is a £16 million, five year (2017-2022) research programme initially funded by the Natural Environment Research Council (NERC). The aim of the CAO programme is to understand how change in the physical environment (ice and ocean) will affect the large-scale ecosystem structure and biogeochemical functioning of the Arctic Ocean, the potential major impacts and provide projections for future ecosystem services. In July 2018, additional projects were added to the programme that were jointly funded by NERC and the German Federal Ministry of Education and Research.
Background
The Arctic Ocean is responding to global climate change in ways that are not yet fully understood and in some cases, not yet identified. The impacts of change in the Arctic are global in range and international in importance. To achieve the aim, the programme has two key research challenges:
- To develop quantified understanding of the structure and functioning of Arctic ecosystems.
- To understand the sensitivity of Arctic ecosystem structure, functioning and services to multiple stressors and the development of projections of the impacts of change.
The decision to fund the CAO project was both scientific and political and is the second largest research programme funded by NERC.
The programme involves 33 organisations, the majority of which are research institutions in the UK and Germany, and over 170 scientists. The programme consists of four large projects with an additional 12 research projects added in July 2018.
Further information can be found on the Changing Arctic Ocean website.
Participants
There are 33 organisations involved in the Changing Arctic Ocean project, these are:
- Alfred Wegener Institut (AWI)
- Bangor University
- British Antarctic Survey (BAS)
- Centre for Environment, Fisheries and Aquaculture Science (CEFAS)
- Durham University
- GEOMAR
- Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research
- Lancaster University
- Marine Biological Association (MBA)
- Max Planck Institute for the Science of Human History
- National Oceanography Centre (NOC)
- Newcastle University
- Northumbria University
- Ocean Atmosphere Systems GmbH
- Plymouth Marine Laboratory (PML)
- Scottish Association for Marine Science (SAMS)
- Scottish Universities Environmental Research Centre (SUERC)
- Université Libre de Bruxelles
- University College London (UCL)
- University of Bristol
- University of East Anglia (UEA)
- University of Edinburgh
- University of Glasgow
- University of Huddersfield
- University of Leeds
- University of Liverpool
- University of Manchester
- University of Oldenburg
- University of Oxford
- University of Southampton
- University of St Andrews
- University of Stirling
- University of Strathclyde
In addition to the core organisation, there are a number of international collaborators.
Research Details
The four large projects funded by NERC are:
- Arctic Productivity in the seasonal Ice Zone (Arctic PRIZE)
- Can we detect changes in Arctic ecosystems? (ARISE)
- The Changing Arctic Ocean Seafloor (ChAOS) - How changing sea ice conditions impact biological communities, biogeochemical processes and ecosystems
- Mechanistic understanding of the role of diatoms in the success of the Arctic Calanus complex and implications for a warmer Arctic (DIAPOD)
The additional 12 projects added in July 2018 funded jointly by NERC and the German Federal Ministry of Education and Research are:
- Advective Pathways of nutrients and key Ecological substances in the Arctic (APEAR)
- How will changing freshwater export and terrestrial permafrost thaw influence the Arctic Ocean? (CACOON)
- Chronobiology of changing Arctic Sea Ecosystems (CHASE)
- Potential benefits and risks of borealisation for fish stocks and ecosystems in a changing Arctic Ocean (Coldfish)
- Diatom Autecological Responses with Changes To Ice Cover (Diatom-ARCTIC)
- Ecosystem functions controlled by sea ice and light in a changing Arctic (Eco-Light)
- Effects of ice stressors and pollutants on the Arctic marine cryosphere (EISPAC)
- Linking Oceanography and Multi-specific, spatially-Variable Interactions of seabirds and their prey in the Arctic (LOMVIA)
- Understanding the links between pelagic microbial ecosystems and organic matter cycling in the changing Arctic (Micro-ARC)
- Microbes to Megafauna Modelling of Arctic Seas (MiMeMo)
- Primary productivity driven by escalating Arctic nutrient fluxes? (PEANUTS)
- Pathways and emissions of climate-relevant trace gases in a changing Arctic Ocean (PETRA)
Fieldwork and Data Collection
The programme consists of seven core cruises that survey areas in the Barents Sea and the Fram Strait on board the NERC research vessel RRS James Clark Ross. Measurements will include temperature, salinity, dissolved oxygen, dissolved inorganic carbon, total alkalinity, inorganic nutrients, oxygen and carbon isotopes and underway meteorological and surface ocean observations. In addition to ship based cruise datasets gliders, moorings and animal tags are part of the fieldwork. Further data are collected from model runs.
Can we detect changes in Arctic ecosystems? (ARISE)
The ARISE project is a £2.1 million, three year (2017-2020) research programme funded by the Natural Environment Research Council (NERC) as part of the Changing Arctic Ocean (CAO) programme. The ARISE project sets out to understand Arctic ecosystem responses to rapid environmental change by identifying how Arctic food webs are changing now and in the recent past.
Rapid environmental change is affecting Arctic ecosystems as the Arctic Ocean is adjusting to new, warmer conditions. It is essential to understand the ecosystem response if the projections of future impacts are to be reliable as ocean ecosystems provide key services, such as control of climate and nutrient cycling. This response can be gauged by establishing how Arctic food webs are changing.
Further information can be found on the Changing Arctic Ocean ARISE webpage.
Participants
There are seven organisations involved in the ARISE project, these are:
- University of Liverpool
- National Oceanography Centre (NOC)
- University of Manchester
- Plymouth Marine Laboratory (PML)
- University of St Andrews
- University of Edinburgh
- Sir Alister Hardy Foundation for Ocean Science (SAHFOS)
- Scottish Association for Marine Science (SAMS)
In addition to these core organisations, there are 22 international collaborators involved in the project. This international collaboration may also result in the exchange of data with external partners.
Research Details
The ARISE project aims to understand Arctic ecosystem responses to rapid environmental change using a new set of tools that are able to detect pan-Arctic modifications to ecosystems and evaluate past and future change across a diverse set of Arctic environments whilst avoiding studies at a single site. ARISE combines pan-Arctic historical and contemporary observations with traditional isotope and novel biomarkers as food web tracers to gain a complete understanding of how environmental change affects both the base of the food web and two Arctic seal species, considered indicator species.
The project has three hypotheses that will be tested by three objectives designed around a stepwise accumulation of understanding. A fourth objective links the findings of the project to the conservation and management of seals in the Arctic.
Objectives
- Gain observational constraints on how environmental variability affects the isotope composition of the base of the food web, the isoscape.
- Combine data on seal foraging and migration to understand how variability in the isoscape is reflected in biomarker signals in seals.
- Use historical observations and link the new understanding to ocean and seal population models to provide a broad picture of factors driving past and contemporary Arctic ecosystem change.
- Quantitatively assess the conservation and management implications of the results, with strong links to stakeholders and policy makers.
Fieldwork and Data Collection
The project participates in a number of cruises during 2017 and 2018, primarily onboard the NERC research vessel RRS James Clark Ross. The aim of the data collection is to collect samples for δ15N of nitrate, particulate material and zooplankton to investigate the variability in the isoscape. The datasets collected include: CTD profiles; underway navigation, surface hydrography and meteorology; 13C-DIC, 15N, 18O-nitrate and 15N-DON samples; POM samples; zooplankton nets; stable nitrogen and carbon isotopes water samples; table nitrogen and carbon isotopes biomarkers particle samples; table nitrogen and carbon isotopes biomarker content and molecular data from zooplankton; seal tags; biomarker samples from seal tissue; 15N and 13C samples from seal teeth and Continuous Plankton Recorder zooplankton data from Arctic route. Telemetry is also used to track harp seals during the project.
Data Activity or Cruise Information
Cruise
Cruise Name | JR17005 |
Departure Date | 2018-05-08 |
Arrival Date | 2018-06-08 |
Principal Scientist(s) | David Pond (University of Stirling, Institute of Aquaculture) |
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 |
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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 |