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Metadata Report for BODC Series Reference Number 2021663


Metadata Summary

Data Description

Data Category Meteorology -unspecified
Instrument Type
NameCategories
Vaisala PTB 210 digital barometer  meteorological packages
Rotronic Hygromet MP402H temperature and humidity probe  meteorological packages
Kipp and Zonen SP LITE2 pyranometer  radiometers
Kipp and Zonen PQS1 PAR Quantum Sensor  radiometers
Gill Windobserver 70 (ultrasonic) anemometer  anemometers
Instrument Mounting research vessel
Originating Country United Kingdom
Originator Dr Yvonne Firing
Originating Organization National Oceanography Centre, Southampton
Processing Status banked
Online delivery of data Download available - Ocean Data View (ODV) format
Project(s) ORCHESTRA
 

Data Identifiers

Originator's Identifier JR18002_MCAL_WTRD_V2_MET
BODC Series Reference 2021663
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2018-11-03 11:02
End Time (yyyy-mm-dd hh:mm) 2018-11-21 11:38
Nominal Cycle Interval 60.0 seconds
 

Spatial Co-ordinates

Southernmost Latitude 61.05150 S ( 61° 3.1' S )
Northernmost Latitude 51.90133 S ( 51° 54.1' S )
Westernmost Longitude 58.48133 W ( 58° 28.9' W )
Easternmost Longitude 54.21567 W ( 54° 12.9' W )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth -22.0 m
Maximum Sensor or Sampling Depth -20.0 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 -
 

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)
ACYCAA011DimensionlessSequence number
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
CAPHTU021MillibarsPressure (measured variable) exerted by the atmosphere by barometer (second sensor) and expressed at measurement altitude
CDTAZZ011Degrees CelsiusTemperature of the atmosphere by thermometer
CDTAZZ021Degrees CelsiusTemperature of the atmosphere by thermometer (second sensor)
CRELZZ011PercentRelative humidity of the atmosphere
CRELZZ021PercentRelative humidity of the atmosphere by second sensor
CSLRR1011Watts per square metreDownwelling vector irradiance as energy of electromagnetic radiation (solar (300-3000nm) wavelengths) in the atmosphere by pyranometer
CSLRR1021Watts per square metreDownwelling vector irradiance as energy of electromagnetic radiation (solar (300-3000nm) wavelengths) in the atmosphere by pyranometer (second sensor)
ERWDSS011DegreesDirection (from) of wind relative to moving platform and heading {wind direction} in the atmosphere by in-situ anemometer
ERWSSS011Metres per secondSpeed of wind relative to moving platform and heading {wind speed} in the atmosphere by in-situ anemometer
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

JR18002 Meteorology Data Quality Document

Wind sensors

The wind data are of good quality overall but there are periods in this series where wind shielding is apparent. This predominantly when the wind was blowing from 250-300° from the bow when the anemometer is partially blocked by the ship superstructure. Some instances of artificial acceleration and spiking were observed and flagged accordingly.

Atmospheric air pressure, temperature and humidity

The air pressure, humidity and temperature channels are of good quality with the sensors pairs for each parameter showing very similar values.

Light sensors

The PAR sensor pair compare well but are offset by approximately 5-6% which is less than double the 4% specified instrumental uncertainty specified in the sensor calibration certificates. There are also some minor instances of shading that have been flagged.

The TIR sensor pair also compare well but have a small offset of approximately 2.5% which is well within the 4.5% specified instrumental uncertainty in the sensor calibration certificates. In addition, there are some minor instances of shading that have been flagged.


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

Gill Windobserver 70 (ultrasonic) anemometer

A solid state, heated ultrasonic anemometer. Designed for use within the aviation industry and for more extreme weather conditions. It measures the times taken for an ultrasonic pulse of sound to travel from the North transducer to the South transducer, and compares it with the time for a pulse to travel from S to N transducer. Likewise times are compared between West and East, and E and W transducer. The wind speed and direction (and the speed of sound) can then be calculated from the differences in the times of flight on each axis. This calculation is independent of factors such as temperature. It uses 150 Watts of electrical heating in the anemometer head to prevent icing. Wind speed accuracy is +/-2% at 12 m/s. Wind direction accuracy is +/-2 degrees at 12 m/s.

For more information, please see this document: https://www.bodc.ac.uk/data/documents/nodb/pdf/Gill_WindObserver70_2017.pdf

JR18002 Meteorology Instrument Description Document

The meteorological suite of sensors is located on the bow at 20 - 22 m height. The instruments used to collect this dataset are displayed in the table below.

Manufacturer Model Main Function Serial number Last calibration date Comments
Kipp & Zonen (sensor 1) SPLite 2 Total Incident Radiation (TIR) 172882 02/02/2017 Manufacturer calibration applied
Kipp & Zonen (sensor 2) SPLite 2 Total Incident Radiation (TIR) 172883 02/02/2017 Manufacturer calibration applied
Kipp & Zonen (sensor 1) Proto Quantum Spectra 1 (PQS1) Photosynthetically Active Radiation (PAR) 160959 03/10/2016 Manufacturer calibration applied
Kipp & Zonen (sensor 2) Proto Quantum Spectra 1 (PQS1) Photosynthetically Active Radiation (PAR) 160960 03/10/2016 Manufacturer calibration applied
Rotronic MP402H-080300 Air temperature and relative humidity (sensor 1) 61019333 Date unavailable No calibration required
Rotronic MP402H-080300 Air temperature and relative humidity (sensor 2) 61019251 Date unavailable No calibration required
Vaisala PTB210 Class B (sensor 1) Digital barometer V1450002 10/04/2000 No calibration required
Vaisala PTB210 Class B (sensor 2) Digital barometer V1450003 10/04/2000 No calibration required
Windobserver 70 Anemometer 15111002 - No calibration required

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.

JR18002 Meteorology Data Processing Procedures

Originator's Data Processing

The meteorology data were measured by different instruments during the cruise, with each instrument logging data to comma separated ASCII .ACO files using the SCS data logging software. The data were stored in the .ACO files and header information was stored in the corresponding .TPL files. Data were processed by the originator using the National Oceanography Centre MSTAR data processing routines into NetCDF files. These SCS MSTAR (NetCDF) files were provided to BODC and used for BODC processing. Please refer to page 68 of the cruise report for more information.

Files delivered to BODC

Filename Content description Format Interval Start date/time (UTC) End date/time (UTC) Comments
oceanlogger_jr18002_01_medav_clean_cal.nc PAR, TIR, air pressure, humidity & air temperature NetCDF 60 seconds 31/10/2018 14:31:00 21/11/2018 11:38:00 -
anemometer_jr18002_trueav.nc True and relative wind speed and direction NetCDF 60 seconds 31/10/2018 14:31:00 21/11/2018 11:38:00 -
anemometer_conv.ACO Relative wind speed and direction ASCII (.ACO) 1 second 30/10/2018 14:31:00 26/11/2018 00:21:02 -

BODC Data Processing

The data were reformatted to the BODC internal format using standard banking procedures, and averaged at 60 second intervals. The following table shows how variables within the files were mapped to appropriate BODC parameter codes:

oceanlogger_jr18002_01_medav_clean_cal.nc

Originator's variable Originator's units Description BODC Code BODC Units Unit conversion Comments
airtemp1 celsius ir temperature sensor 1 CDTAZZ01 celsius N/A -
airtemp2 celsius air temperature sensor 2 CDTAZZ02 celsius N/A -
baro1 hPa air pressure sensor 1 CAPHTU01 hPa N/A -
baro2 hPa air pressure sensor 2 CAPHTU02 hPa N/A -
humidity1 %RH relative humidity sensor 1 CRELZZ01 %RH N/A -
humidity2 %RH relative humidity sensor 2 CRELZZ02 %RH N/A -
par1 umol/S.m2 PAR sensor 1 IRRDSV01 umol/S.m2 N/A -
par2 umol/S.m2 PAR sensor 2 PARERXSD umol/S.m2 N/A -
tir1 W/m2 TIR sensor 1 CSLRR101 W/m2 N/A -
tir2 W/m2 TIR sensor 2 CSLRR102 W/m2 N/A -

anemometer_jr18002_trueav.nc

Originator's variable Originator's units Description BODC Code BODC Units Unit conversion Comments
relwind_dirship degrees relative to ship 0 = towards bow Relative wind direction N/A N/A N/A Not transferred in favour of version from SCS .ACO file below
relwind_spd m/s towards Relative wind speed N/A N/A N/A Not transferred in favour of version from SCS .ACO file below
truwind_dir degrees_to True wind direction N/A N/A N/A Not transferred in favour of version calculated by BODC
truwind_spd m/s True wind speed N/A N/A N/A Not transferred in favour of version calculated by BODC

anemometer_conv.ACO

Originator's variable Originator's units Description BODC Code BODC Units Unit conversion Comments
wind_dir degrees Wind direction (relative to moving platform) ERWDSS01 degrees N/A -
wind_speed m s-1 Wind speed (relative to moving platform) ERWSSS01 m s-1 N/A -

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.

Absolute wind speed and direction

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

Calibrations

No calibrations were applied to the meteorological data. The data delivered to BODC were already adjusted for manufacturer coefficients.


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