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Metadata Report for BODC Series Reference Number 1759818


Metadata Summary

Data Description

Data Category Meteorology -unspecified
Instrument Type
NameCategories
anemometer  anemometers
Ashtech GG24 Global Positioning System and Global Navigation Satellite System receiver  Global Navigation Satellite System receivers; NAVSTAR Global Positioning System receivers
Ashtech ADU5 Global Positioning System receiver  Differential Global Positioning System receivers
Vaisala PTB 210 digital barometer  meteorological packages
Kongsberg Seatex Seapath 200 Global Positioning System receiver and Gyrocompass  platform attitude sensors; Differential Global Positioning System receivers
Kipp and Zonen PQS1 PAR Quantum Sensor  radiometers
Rotronic Hygromet MP402H temperature and humidity probe  meteorological packages
Kipp and Zonen SP LITE2 pyranometer  radiometers
Instrument Mounting research vessel
Originating Country United Kingdom
Originator Dr Bastien Queste
Originating Organization University of East Anglia School of Environmental Sciences
Processing Status banked
Online delivery of data Download available - Ocean Data View (ODV) format
Project(s) Ice Sheet Stability (iSTAR) Programme
Ocean2ice (iSTAR A)
 

Data Identifiers

Originator's Identifier JR294-PRODQXF_MET
BODC Series Reference 1759818
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2014-01-26 11:20
End Time (yyyy-mm-dd hh:mm) 2014-03-04 16:08
Nominal Cycle Interval 60.0 seconds
 

Spatial Co-ordinates

Start Latitude 75.10117 S ( 75° 6.1' S )
End Latitude 52.60333 S ( 52° 36.2' S )
Start Longitude 114.40017 W ( 114° 24.0' W )
End Longitude 70.73467 W ( 70° 44.1' W )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth -20.0 m
Maximum Sensor or Sampling Depth -15.3 m
Minimum Sensor or Sampling Height -
Maximum Sensor or Sampling Height -
Sea Floor Depth -
Sea Floor Depth Source -
Sensor or Sampling Distribution Scattered at fixed depths - The sensors are scattered with respect to depth but each remains effectively at the same depth for the duration of the series
Sensor or Sampling Depth Datum Approximate - Depth is only approximate
Sea Floor Depth Datum Instantaneous - Depth measured below water line or instantaneous water body surface
 

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
CAPHTU011MillibarsPressure (measured variable) exerted by the atmosphere by barometer and expressed at measurement altitude
CDTAZZ011Degrees CelsiusTemperature of the atmosphere by thermometer
CRELZZ011PercentRelative humidity of the atmosphere
CSLRR1011Watts per square metreDownwelling vector irradiance as energy of electromagnetic radiation (solar (300-3000nm) wavelengths) in the atmosphere by pyranometer
EWDASS011Degrees TrueDirection (from) of wind relative to True North {wind direction} in the atmosphere by in-situ anemometer
EWSBSS011Metres per secondSpeed of wind {wind speed} in the atmosphere by in-situ anemometer
IRRDSV011MicroEinsteins per square metre per secondDownwelling vector irradiance as photons of electromagnetic radiation (PAR wavelengths) in the atmosphere by cosine-collector radiometer
PARERXSD1MicroEinsteins per square metre per secondDownwelling vector irradiance as photons of electromagnetic radiation (PAR wavelengths) in the atmosphere by cosine-collector radiometer (second sensor)

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

iSTAR RRS James Clark Ross Cruise JR20140126 (JR294, JR295) Underway Document

Cruise details

Dates 29-01-2014 to 04-03-2014
Principal Scientific Officer Karen Heywood
Data supplied by Bastien Queste

The cruise is part of the Ice Sheet Stability prgramme (iSTAR) which aims to investigate the ocean processes that are thought to enhance melting of the Pine Island Glacier in the Amundsen Sea. The cruise includes two NERC-funded ISTAR projects. ISTAR A, or Ocean2ice, supports a consortium led by UEA and addresses processes at the continental shelf break and on the continental shelf that affect the heat delivered to the ice shelf front, together with the subsequent fate of the ice shelf meltwater. The second is ISTAR B, led by BAS, which addresses the processes that affect the warm water once it has entered the ice shelf cavity.

The ship departed Punta Arenas, Chile, on 26 January 2014 and docked in Rothera on 8 March 2014 where the scientific crew desimbarked. The data submitted to BODC covers a period from 20 January 2014 to 04 March 2014, which includes the whole cruise period, plus transit from Punta Arenas and to Rothera. The extra days of data will not be included in the final file.

Delays in the planned work were mainly due to weather conditions rangin from stormy seas to fog and ice floes which prevented the ship from progressing at normal speed.

Kipp & Zonen Photosynthetically Active Radiation Quantum Sensor PQS1

The PQS1 is an atmospheric radiometer designed to measure incident radiation at photosynthetically active radiation (PAR) wavelengths. It incorporates a diffuser with an excellent directional (cosine) response and a silicon photodiode detector.

If used in field research applications, the PQS1 can be connected with the METEON handheld display unit, which also as data-logging capability. For permanent installations, it can be connected to the LOGBOX SD data logger.

Specifications

Spectral range 400 to 700 nm (± 4 nm)
Sensitivity 4 to 10 µV µmol-1 m-2 s-1
Response time < 1 µs
Non linearity < 1% (0 to 10000 µV µmol-1 m-2 s-1)
Temperature dependence < -0.1% °C-1
Sensitivity change per year < 2%
Directional error < 3% (up to 80° zenith angle)
Field of view 180°
Operating temperature -30 to 70°C
Relative humidity 0 to 100 % RH

A link to the PQS1 specification sheet can be found here: PQS1 Spec sheet

Kipp and Zonen SP Lite and SP Lite2 Silicon Pyranometer

An atmospheric pyranometer that measures solar radiation over the range 400-1100 nm by means of a silicon photo-diode detector mounted in a diffuser. The sensor measures the radiation received over the entire hemisphere and the diffuser's sensitivity is proportional to the cosine of the angle of incidence of the incoming radiation. The photodiode creates a voltage output that is proportional to the incoming radiation. The SP Lite2 supersedes the SP Lite and features an improved sensitivity and faster response time than its predecessor.

Specifications

Specification SP Lite SP Lite2
Spectral range 400-1100 nm 400-1100 nm
Sensitivity 100 µV W-1 m-2 60 to 100 µV W-1 m-2
Response time < 1 s < 500 ns
Maximum irradiance 2000 W m-2 2000 W m-2
Operating temperature -30 to 70°C -30 to 70°C
Temperature dependence 0.15% °C-1 0.15% °C-1

Further details can be found in the manufacturer's specification sheets for the SP Lite and SP Lite2.

Rotronic Hygromet MP102H and MP402H temperature and humidity probes

This meteorological probe measures humidity and temperature with the plug-in HygroClip HC2-S3 sensor module, and can also be equipped with a signal conditioned Pt100 temperature probe.

The two models differ in that the MP102H produces a voltage output while the MP402H produces a current output. Other characteristics are common to both models.

The specification sheet can be accessed here Rotronic MP102H and MP402H.

Specifications

Start up time 3 s (typical)
Data refresh time 1 s (typical)
Humidity range 0 to 100% RH
Humidity accuracy 0.8% RH
Temperature range -40 to 80°C
Temperature accuracy 0.1°C
Maximum air velocity ar probe 20 m s-1
User configurable limits -999 to 9999 engineering units
HC2-S3 Probe material Polycarbonate
Probe dust filter Polyethylene

Vaisala PTB210 Digital Barometer

The basic specifications for this pressure sensor are as follows:

  • Manufacturer: Vaisala
  • Type: Silicon capacitive sensor
  • Model: PTB210
  • Range: 900 - 1100 hPa
  • Output: 0-5VDC
  • Total Accuracy (20°C): ±0.30hPa
  • Operating temperature: -40 to +60 deg C
  • Weight: 110g
  • Certification Ingress Protection: IP65

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

Ashtech GG24 receiver

The GG24 is an all-in-view Global Positioning System (GPS) and Global Navigation Satellite System (GLONASS) receiver that blends GPS and GLONASS into a single position solution. This receiver uses all available satellites from both systems to obtain the best position information.

The three-dimensional position and velocity are calculated when tracking any combination of five satellites. Up to five independent measurements are determined every second, with no interpolation or extrapolation from previous solutions.

Specifications

Parameter Values
Operating Temperature -30°C to 55°C
Sampling frequency up to 5 Hz
Receiver channels 12 L1 GPS + 12 L1 GLONASS
Real-Time Position Accuracy

3.2 m (autonomous)

35.0 m (differential)

Velocity Accuracy 0.1 knots

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

Ashtech Global Positioning System receivers (ADU series)

The ADU series of Global Positioning System (GPS) receivers are designed to give real-time three-dimensional position and attitude measurements. Attitude determination is based on differential carrier phase measurements between four antennas connected to a receiver, providing heading, pitch and roll, along with three-dimensional position and velocity.

The ADU2 model receives information from 48 channels, while the upgraded model (ADU5) uses 56 channels. The ADU5 also features a unique Kalman filter with user selectable dynamic modes to match operating conditions. It also incorporates signals from Satellite Based Augmentation Systems (SBAS) and features an embedded 2-channel 300 kHz beacon receiver for easy differential GPS (DGPS) operations.

Specifications

Parameter ADU2 ADU5

Operational Temperature range:
Antenna
Receiver


-40°C to 65°C
-20°C to 55°C


-40°C to 65°C
-20°C to 55°C

Sampling frequency 5 Hz 5 Hz
Receiver channels 48 56

Accuracy:
Heading
Pitch/Roll


0.2° rms (dynamic) - 0.4° rms (static)
0.4° rms (dynamic) - 0.8° rms (static)


0.02° to 0.2° rms
0.04° to 0.4° rms

Circular Error Probability:
Autonomous
Differential


5.0 m
1.0 m


3.0 m
0.4 to 1.0 m

Further details can be found in the manufacturer's specification sheets for the ADU2 andADU5.

Kongsberg Seatex Seapath 200 GPS and Gyrocompass

The Seapath 200 is a highly accurate, real-time heading, attitude and position information system that integrates the best signal characteristics of Inertial Measurement Units (IMU) and Global Positioning System (GPS), using a differential GPS method to acquire this data.

The high-rate motion data is obtained from the Seatex MRU5 inertial sensor and two fixed baseline GPS carrier-phase receivers. The raw data is integrated in a Kalman filter in the Seapath Processing Unit. The IMU contains an accurate linear accelerometer and Bosch Coriolis force angular rate gyros (CFG).

This system is equipped to utilise up to six different DGPS reference stations, it checks for consistency within measurements from the different sensors to ensure reliability and rejects noisy data or reports its inaccuracy. The data is available through various output protocols, RS-232, RS-422 and Ethernet.

This instrument is no longer in production; the main characteristics are presented below, and the specification sheet can be accessed here Kongsberg Seatex Seapath 200 .

Specifications

Scale factor error in pitch, roll and heading 0.2% RMS
Heave motion periods 1 to 25 s
Accuracy
Heading

0.05° RMS (4 m baseline)

0.075° RMS (2.5 m baseline)

Roll and Pitch 0.03° EMS (± 5° amplitude)
Heave 5 cm or 5%, whichever is highest
Position

0.7 RMS or 1.5 m (95% CEP) with DGPS

0.15 m EMS or 0.4 m (95% CEP) with Searef 100 corrections

Velocity 0.03 m s-1 RMS or 0.07 m s-1 (95% CEP) with DGPS

iSTAR RRS James Clark Ross Cruise JR20140126 (JR294, JR295) Underway Meteorology Document

Content of data series

Parameter Units Parameter code Comments
Latitude Degrees (+ve N) ALATGP01 -
Longitude Degrees (+ve E) ALONGP01 -
Atmospheric pressure mbar CAPHTU01 Primary sensor
Air temperature °C CDTAZZ01 Primary sensor
Relative humidity % CRELZZ01 Primary sensor
PAR µE m-2 s-1 IRRDSV01 Primary sensor
PAR µE m-2 s-1 PARERXSD Secondary sensor
TIR W m-2 CSLRR101 Primary sensor
Relative wind direction Degrees ERWDSS01 -
Relative wind speed m s-1 ERWSSS01 -
Absolute wind direction Degrees EWDASS01 Corrected for ship's heading and speed
Absolute wind speed m s-1 EWSBSS01 Corrected for ship's heading and speed

Instrumentation

Instrument Type Main role
Seatex Seapath 200 GPS Primary GPS for swath bathymetry
Ashtech ADU-5 GPS -
Ashtech GLONASS GG24 GPS -
Sensor Serial number Last calibration date
Barometer V145002 and V145003 -
Rotronic MP402H-050300 60599569 and 60599557 -
Kipp and Zonen SP LITE 2 112993 and 112992 -
Kipp and Zonen PSQ1 110127 and 110126 -
Anemometer - -

Data Processing Procedures

Originator's Data Processing

Surface hydrography, navigation and meteorological data were recorded throughout the cruise using an automated Matlab script. All data collection and processing was performed automatically by a procedure that triggers processing and then copies the resulting matlab dataset and figures to a shared drive. The main matlab script queries the SCS data streams provided by the JCR and imports the data into matlab, concatenating with data from previous previous days. The matlab script then proceeds to calculate additional variables before plotting each variable both as crude track maps and timeseries for rapid data visualisation and organising the data in a structure format.

The originator's file contains 5 substructures, flag (which contains a flag indicating potential issues with the raw data), clean (contains the raw data with all values flagged replaced by NaN), info (contains general file metadata), scripts (text conpies of the scripts for redeploying in future cruises) and raw (raw data with no quality control information.

One file, in matlab format, was submitted to BODC and contains all the variables for the three data types, Navigation, Meteorology and Surface Hydrography. Sampling frequency of the submitted data was of 60 seconds.

Positioning instruments were located on the ship's monkey island, above the bridge, the anemometer was located on a mast, approximately 20 m above the surface and the remaining meteorological sensors on the meteorological platform located on the ship's bow.

File delivered to BODC

Filename Content description Format Interval Start date/time (UTC) End date/time (UTC)
Oceanlogger navigation, meteorology and surface hydrography Matlab 60 seconds 20/01/2014 23:41:00 04/03/2014 16:49:00

BODC Data Processing

The file mentioned above were selected for data banking as they contain the best version of meteorology data. Data were banked at BODC following standard data banking procedures, including reduction through averaging, correcting the wind for anemometer orientation (0° to the bow) and screening the data for anomalous values.

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

Oceanlogger.mat

Originator's variable Originator's units Description BODC code BODC units Unit conversion Comments
lat degrees Latitude north (WGS84) by unspecified GPS system ALATGP01 degrees - -
lon degrees Longitude east (WGS84) by unspecified GPS system ALONGP01 degrees - -
airtemp1 °C Temperature of the atmosphere by thermometer CDTAZZ01 °C - -
airtemp2 °C Temperature of the atmosphere by thermometer (second sensor) CDTAZZ02 °C - -
humidity1 % Relative humidity of the atmosphere CRELZZ01 % - -
humidity2 % Relative humidity of the atmosphere by second sensor CRELZZ02 % - -
par1 µmol S-1 m-2 Downwelling vector irradiance as photons (PAR wavelengths) in the atmosphere by cosine-collector radiometer IRRDSV01 µmol S-1 m-2 - -
par2 µmol S-1 m-2 Downwelling vector irradiance as photons (PAR wavelengths) in the atmosphere by cosine-collector radiometer (second sensor) PARERXSD µmol S-1 m-2 - -
tir1 W m-2 Downwelling vector irradiance as energy (solar (300-3000nm) wavelengths) in the atmosphere by pyranometer CSLRR101 W m-2 - -
tir2 W m-2 Downwelling vector irradiance as energy (solar (300-3000nm) wavelengths) in the atmosphere by pyranometer (second sensor) CSLRR102 W m-2 - -
baro1 mbar Pressure (measured variable) exerted by the atmosphere by barometer and expressed at measurement altitude CAPHTU01 mbar - -
baro2 mbar Pressure (measured variable) exerted by the atmosphere by barometer (second sensor) and expressed at measurement altitude CAPHTU02 mbar - -
anemometer_wind_dir degrees Wind direction (relative to moving platform) in the atmosphere by in-situ anemometer ERWDSS01 degrees - -
anemometer_wind_speed knots Wind speed (relative to moving platform) in the atmosphere by in-situ anemometer ERWSSS01 m s-1 * 0.51444 -

The file also contain true wind u,v, speed and direction which was not transferred as according to BODC's standard procedures, it is re-derived in house. Additionally the file contaied navigation and surface hydrography parameters, which will be dealt with in the appropriate documentation.

Data from the secondary atmospheric temperature and relative humidity sensors areavailable upon request. Secondary TIR and atmospheric pressure data were found to be null.

All data expressed at measurement altitude. 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.

Calibration

No information on calibrations against independent measurements were provided to BODC.

Wind speed and direction

Relative wind speed and direction were corrected for the ship's heading and speed using the gyrocompass heading, ship velocities (calculated at BODC from the main positional channels) and an anemometer orientation of 0° on the bow.

PAR and TIR

Night periods were values were slightly negative were flagged M. There is a known issue with the sensors absorbing heat during the day and releasing it during the night periods, which might cause negative readings. Another possible cause for these values is an offset in the cailbration coefficients.

During screening it was found that the second PAR sensor didn't record valid data. This channel was dropped from the final file.

Air pressure

Both channels were screened and it was found that the second atmospheric pressure sensor data were almost completely null, therefore it was not included in the final file.

Air Temperature and Relative Humidity

All channels were screened and duplicate sensors for both paramaters exhibit similar quality. Several periods with no data were identified. These have been removed by the originator prior to submission.

Quality control report

M flags applied to absolute wind speed and direction prior to conversion to relative wind parameters. Both channels exhibited periods with values of 0.0, as they were considered anomalous, an M flag was applied to the identified cycles. M flags aplied to PAR and TIR sensors when slightly negative values were identified during the night period.

Problem report

Not applicable


Project Information

The Ice Sheet Stability (iSTAR) programme

Background and objectives

The iSTAR programme aims to measure the rate that ice is being lost from the West Antarctic ice sheet, and to improve our understanding of what might be driving this loss how it is changing over time. The rate of loss of water from ice in glaciers in the Antarctic (and Greenland) is more than the amount of water being deposited in these areas by precipitation. This has changed our understanding of these systems and the rate of ice loss is a matter of interest for sea level and climate research. Improving our understanding of the processes and impacts of changes to these systems is vital for better predictions for sea level rise in the future and will feed in to climate research. This programme combines scientific research of glaciers and the surrounding ocean environment (including how they impact each other). Research about the oceans was focused on the Amundsen Sea Sector of West Antarctica with instruments deployed from the research ship RRS James Clark Ross. Research about the ice was focused on Pine Island Glacier, Thwaites Glacier and Union Glacier with measurements taken during two expeditions across the ice. This programme was funded by the Natural Environment Research Council (NERC)

The programme is split in to four projects:

Ocean2ice: Processes and variability of ocean heat transport toward ice shelves in the Amundsen Sea Embayment (iSTAR A)

Ocean under ice: Ocean circulation and melting beneath the ice shelves of the south-eastern Amundsen Sea (iSTAR B)

Dynamic ice: Dynamical control on the response of Pine Island Glacier (iSTAR C)

Ice loss: The contribution to sea-level rise of the Amundsen Sea sector of Antarctica (iSTAR D)

Participants

The iSTAR research programme is managed by British Antarctic Survey (BAS) on behalf of NERC. Operational support, in the form of logistics planning and infrastructure, and Communication and Knowledge Exchange support are provided by BAS. There are four science projects and participants in these projects represent the following organisations:

  • British Antarctic Survey
  • National Oceanography Centre
  • Newcastle University
  • Scott Polar Research Institute
  • University College London
  • University of Bristol
  • University of East Anglia
  • University of Edinburgh
  • University of Leeds
  • University of Southampton
  • University of St. Andrews
  • University of Tasmania
  • University of Washington

Fieldwork and data collection

A wide range of data parameters were collected for this programme. Physical and chemical measurements of the ocean close to and next to the ice shelf were made using instruments deployed from ship, on moorings, on autonomous platforms and seal tags. Measurements were also made of the glaciers and ice shelfs including radar and seismic surveys and ice cores. There were also meteorological and atmospheric measurements taken. For more information about the data collected on each of the four projects see the project web pages.

Data management

Data management for ocean data will be done by the British Oceanographic Data Centre whilst ice data will be managed by the Polar Data Centre.

For more information about iSTAR programme see the: iSTAR Programme Website


Ocean2ice: Processes and variability of ocean heat transport toward ice shelves in the Amundsen Sea Embayment (iSTAR A)

Background and objectives

Ocean2ice (otherwise referred to as iSTAR A) is a project that is part of NERC's Ice Sheet Stability programme. The project was designed to investigate how relatively warm water gets close to and beneath glaciers in the Antarctic and what impact this warm water has on the rate of ice melt at these sites. This research and collection of data will to feed in to climate and sea level forecasting and research. This project was funded by the Natural Environment Research Council.

Participants

The principal investigator for the Ocean2ice project is Professor Karen Heywood, University of East Anglia. Other participants in the project represent the following organisations:

  • British Antarctic Survey
  • National Oceanography Centre
  • University of East Anglia
  • University of Southampton
  • University of St. Andrews

Fieldwork and data collection

Oceanographic data were collected from a wide range of instruments from the research ship RRS James Clark Ross between 26 January and 08 March 2014 in the Amundsen Sea. Data collected include measurements of the physical conditions (including temperature and salinity), current speeds and directions, chemical measurements of the water column (including oxygen and chlorophyll-a concentrations). A fleet of Seagliders (ocean robots that measure physical parameters including temperature, salinity and current speeds and directions) were also deployed to measure conditions close to the ice shelf. Moorings were deployed by the project and have measured conditions in the area over a couple of years. In addition Seal tags (small sensors glued to the fur of seals which fall off when the seals moult their fur) were deployed and transmit data back via satellite networks to scientists. These seal tag deployments give the scientists the rare opportunity to measure water properties below the ice shelf.

Data management

All data collected by the Ocean2ice project are to be submitted to the British Oceanographic Data Centre for careful storage, quality control, archiving and distribution to scientists, education, industry and the public.

For more information about Ocean2ice see the iSTAR A project page


Data Activity or Cruise Information

Cruise

Cruise Name JR20140126 (JR294, JR295)
Departure Date 2014-01-26
Arrival Date 2014-03-08
Principal Scientist(s)Karen J Heywood (University of East Anglia School of Environmental Sciences)
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