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Metadata Report for BODC Series Reference Number 1972478


Metadata Summary

Data Description

Data Category Meteorology -unspecified
Instrument Type
NameCategories
Vaisala HMP temperature and humidity sensor  meteorological packages
Gill Instruments Windsonic anemometer  anemometers
Kipp and Zonen CM6B pyranometer  radiometers
Skye SKE 510 PAR energy sensor  radiometers
Vaisala PTB110 barometer  meteorological packages
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 JC159_MCAL4_MET
BODC Series Reference 1972478
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2018-02-28 18:40
End Time (yyyy-mm-dd hh:mm) 2018-04-09 17:41
Nominal Cycle Interval 60.0 seconds
 

Spatial Co-ordinates

Southernmost Latitude 32.60650 S ( 32° 36.4' S )
Northernmost Latitude 21.95017 S ( 21° 57.0' S )
Westernmost Longitude 43.18183 W ( 43° 10.9' W )
Easternmost Longitude 17.37217 E ( 17° 22.3' E )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth -19.4 m
Maximum Sensor or Sampling Depth -17.55 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
CDTAZZ011Degrees CelsiusTemperature of the atmosphere by thermometer
CRELZZ011PercentRelative humidity of the atmosphere
CSLRRP011Watts per square metreDownwelling vector irradiance as energy of electromagnetic radiation (solar (300-3000nm) wavelengths) in the atmosphere by port-mounted pyranometer
CSLRRS011Watts per square metreDownwelling vector irradiance as energy of electromagnetic radiation (solar (300-3000nm) wavelengths) in the atmosphere by starboard-mounted pyranometer
CVLTRP011VoltsRaw signal (voltage) of instrument output by port-mounted pyranometer
CVLTRS011VoltsRaw signal (voltage) of instrument output by starboard-mounted pyranometer
DVLTRPSD1VoltsRaw signal (voltage) of instrument output by port-mounted PAR cosine-collector radiometer
DVLTRSSD1VoltsRaw signal (voltage) of instrument output by starboard-mounted PAR cosine-collector radiometer
DWIRRPSD1Watts per square metreDownwelling vector irradiance as energy of electromagnetic radiation (PAR wavelengths) in the atmosphere by port-mounted cosine-collector radiometer
DWIRRSSD1Watts per square metreDownwelling vector irradiance as energy of electromagnetic radiation (PAR wavelengths) in the atmosphere by starboard-mounted cosine-collector radiometer
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

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

Throughout the cruise there is a lot of variation in the relative wind direction corresponding with when the ship changes speed and direction (BODC assessment during screening). Similar findings were observed by the originator and are discussed in the JC159 cruise report. The data should therefore be used with caution.

Throughout the cruise there is a lot of variation in the relative wind speed corresponding with when the ship changes speed and direction (BODC assessment during screening). Similar findings were observed by the originator and are discussed in the JC159 cruise report. The data should therefore be used with caution.

Throughout the cruise there is a lot of variation in the true wind direction corresponding with when the ship changes speed and direction (BODC assessment during screening). Similar findings were observed by the originator and are discussed in the JC159 cruise report. The data should therefore be used with caution.

Throughout the cruise there is a lot of variation in the true wind speed corresponding with when the ship changes speed and direction (BODC assessment during screening). Similar findings were observed by the originator and are discussed in the JC159 cruise report. The data should therefore be used with caution.


Data Access Policy

Open 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.

If the Information Provider does not provide a specific attribution statement, or if you are using Information from several Information Providers and multiple attributions are not practical in your product or application, you may consider using the following:

"Contains public sector information licensed under the Open Government Licence v1.0."


Narrative Documents

RRS James Cook cruise JC159 underway document

Cruise details

Dates 28th February 2018 - 11th April 2018 (UTC)
Principal Scientific Officer Brian A King (National Oceanography Centre, Southampton)

Gill Instruments Windsonic Anemometer

The Gill Windsonic is a 2-axis ultrasonic wind sensor that monitors wind speed and direction using four transducers. The time taken for an ultrasonic pulse to travel from the North to the South transducers is measured and compared with the time for a pulse to travel from South to North. Travel times between the East and West transducers are similarly compared. The wind speed and direction are calculated from the differences in the times of flight along each axis. This calculation is independent of environmental factors such as temperature.

Specifications

Ultrasonic output rate 0.25, 0.5, 1, 2 or 4 Hz
Operating Temperature -35 to 70°C
Operating Humidity < 5 to 100% RH
Anemometer start up time < 5 s
Wind speed
Range 0 to 60 m s-1
Accuracy ± 2% at 2 m s-1
Resolution 0.01 m s-1
Response time 0.25 s
Threshold 0.01 m s-1
Wind direction
Range 0 to 359°
Accuracy ± 3° at 12 m s-1
Resolution
Response time 0.25 s

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

Kipp and Zonen Pyranometer Model CM6B

The CM6B pyranometer is intended for routine global solar radiation measurement research on a level surface. The CM6B features a sixty-four thermocouple junction (series connected) sensing element. The sensing element is coated with a highly stable carbon based non-organic coating, which delivers excellent spectral absorption and long term stability characteristics. The sensing element is housed under two concentric fitting Schott K5 glass domes.

Specifications

Dimensions (W x H) 150.0 mm x 91.5 mm
Weight 850 grams
Operating Temperature -40°C to +80°C
Spectral Range 305 - 2800 nm
(50% points)
Sensitivity 9 -15 µV/W/m2
Impedance (nominal) 70 - 100 ohm
Response Time (95%) 30 sec
Non-linearity < ± 1.2% (<1000 W/m2)
Temperature dependence of sensitivity < ± 2% (-10 to +40°C)
Zero-offset due to temperature changes < ± 4 W/m2 at 5 K/h temperature change

RRS James Cook cruise JC159 meteorology instrumentation

Instrumentation

The meteorological suite of sensors was located on the forecastle deck, between 17.55 and 19.4 m above sea level. The anemometer orientation was 0° on the bow.

Manufacturer Model Serial number Last manufacturer's calibration date Comments
Skye SKE 510 28558 08/11/2017 Port
Skye SKE 510 28563 13/05/2016 Starboard
Kipp and Zonen CM6B 994133 03/11/2016 Starboard
Kipp and Zonen CM6B 994132 15/07/2016 Port
Gill Windsonic 64537 - No calibration required
Vaisala Humidity and Temperature Probe HMP45AL E1055002 20/10/2017 No calibration required
Vaisala PTB110 Barometer Air pressure L2240581 20/10/2017 No calibration required
 
BODC image

Skye Instruments PAR Energy Sensor Model SKE 510

The SKE 510 is suitable for measuring photosynthetically active radiation (PAR) from natural or artificial light sources. The sensor is fully waterproof and guaranteed submersible to 4m depth, and indoor versions are also available.

The instrument uses a blue-enhanced planar diffused silicon detector to measure energy (in W m-2) over the 400-700 nm waveband. It has a cosine-corrected head and a square spectral response. The sensor can operate over a temperature range of -35 to 70 °C and a humidity range of 0-100% RH.

Specifications

Sensitivity (current) 1.5µA or 100 W m-2
Sensitivity (voltage) 1mV or 100 W m-2
Working Range 0-5000 W m-2
Linearity error 0.2%
Absolute calibration error typ. less than 3%
5% max
Response time - voltage output 10 ns
Cosine error 3%
Azimuth error less than 1%
Temperature co-efficient ±0.1% per °C
Internal resistance - voltage output c. 300 ohms
Longterm stability ±2%
Material Dupont 'Delrin'
Dimensions 34 mm diameter
38mm height
Cable 2 core screened
7 - 2 - 2C
Sensor Passband 400 - 700 nm
Detector Silicon photocell
Filters Glass type and/or metal interference

Vaisala PTB110 barometer

An industrial, analog barometer which uses a silicon capacitive sensor (BAROCAP). The sensor produces either frequency or voltage output and is mountable on a (35 mm wide) DIN rail.

Operating ranges (1 hPa = 1 mbar)

Pressure ranges 500 ... 1100 hPa
600 ... 1100 hPa
800 ... 1100 hPa
800 ... 1060 hPa
600 ... 1060 hPa
Temperature range -40 ... +60 °C (-40 ... +140 °F)
Humidity range non-condensing

General

Output voltage 0 ... 2.5 VDC
0 ... 5 VDC
Output frequency 500 ... 1100 Hz
Resolution 0.1 hPa

Accuracy

Linearity* ±0.25 hPa
Hysteresis* ±0.03 hPa
Repeatability* ±0.03 hPa
Pressure calibration uncertainty** ±0.15 hPa
Accuracy at +20 °C*** ±0.3 hPa
Total accuracy at:
+15 ... +25 °C (+59 ... +77 °F)
0 ... +40 °C (+32 ... +104 °F)
-20 ... +45 °C (-4 ... +113 °F)
-40 ... +60 °C (-40 ... +140 °F)
±0.3 hPa
±0.6 hPa
±1.0 hPa
±1.5 hPa

* Defined as ±2 standard deviation limits of end-point non-linearity, hysteresis error or repeatability error.
** Defined as ±2 standard deviation limits of inaccuracy of the working standard including traceability to NIST.
*** Defined as the root sum of the squares (RSS) of end-point non-linearity, hysteresis error, repeatability error and calibration uncertainty at room temperature when using voltage output.

More detailed information can be found in the manufacturer's data sheet and user's guide.

Vaisala Temperature and Relative Humidity HMP Sensors

A family of sensors and instruments (sensors plus integral displays or loggers) for the measurement of air temperature and relative humidity. All are based on a probe containing a patent (HUMICAP) capacitive thin polymer film capacitanece humidity sensor and a Pt100 platinum resistance thermometer. The probes are available with a wide range of packaging, cabling and interface options all of which have designations of the form HMPnn or HMPnnn such as HMP45 and HMP230. Vaisala sensors are incorporated into weather stations and marketed by Campbell Scientific.

All versions operate at up to 100% humidity. Operating temperature ranges vary between models, allowing users to select the version best suited to their requirements.

Further details can be found in the manufacturer's specification sheets for the HMP 45 series, HMP 70 series and HMP 230 series.

RRS James Cook cruise JC159 meteorology data processing procedures

Originator's Data Processing

The data were logged by the TECHSAS (TECHnical and Scientific sensors Acquisition System) version 5.11 data logging system which is the main data logging system on NMF-SS operated research vessels. Data were processed daily using the National Oceanography Centre MSTAR data processing routines into NetCDF files, and these TECHSAS MSTAR (NetCDF) meteorology files provided to BODC were used for BODC processing. Please refer to the cruise report for more information.

Files delivered to BODC

Filename Content description Format Interval Start date/time (UTC) End date/time (UTC) Comments
met_light_jc159_01.nc Air pressure, photosynthetically active radiation (PAR), total irradiance (TIR) NetCDF 1 second 24/02/2018 21:28:50 08/04/2018 17:41:39 -
surfmet_jc159_trueav.nc True and relative wind speed and direction NetCDF 60 seconds 24/02/2018 21:29:00 08/04/2018 00:00:00 -
*-MET-SURFMET.SURFMETV2 Relative humidity, wind speed and direction, and air temperature NetCDF 1 hz 24/02/2018 21:28:49 11/04/2018 00:00:00 -

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:

met_light_jc159_01.nc

Originator's variable Originator's units Description BODC Code BODC Units Unit conversion Comments
pres mbar Air pressure CAPHTU01 mbar N/A -
ppar hectokilovolts PAR (port) DVLTRPSD volts /100000 -
spar hectokilovolts PAR (starboard) DVLTRSSD volts /100000 -
ptir hectokilovolts TIR (port) CVLTRP01 volts /100000 -
stir hectokilovolts TIR (starboard) CVLTRS01 volts /100000 -

surfmet_jc159_trueav.nc

Originator's variable Originator's units Description BODC Code BODC Units Unit conversion Comments
truwind_spd m/s True wind speed (data originator) N/A N/A N/A Not transferred in favour of version calculated by BODC
truwind_dir degrees to True wind direction (data originator) N/A N/A N/A Not transferred in favour of version calculated by BODC
relwind_spd m/s Relative wind speed N/A N/A N/A Not transferred in favour of version from TECHSAS file below
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 TECHSAS file below

*-MET-SURFMET.SURFMETV2

Originator's variable Originator's units Description BODC Code BODC Units Unit conversion Comments
humid % Relative humidity CRELZZ01 % N/A -
airtemp °C Air temperature CDTAZZ01 °C N/A -
speed m/s Relative wind speed ERWSSS01 m/s N/A -
direct degrees relative to ship (0 = from bow) Relative wind direction ERWDSS01 degrees from N/A -

All data expressed at measurement altitude.

Calibrations

Field Calibrations

No field calibrations were applied to the data at BODC.

Manufacturers Calibrations

Air pressure

A manufacturer's calibration was not applied to the Vaisala PTB110 barometer because there was no significant offset reported on the certified calibration certificate.

PAR/TIR

The following manufacturer's calibrations were applied to the PAR and TIR light sensors using:

y (W m -2 ) = (a x 10 6 )/b

Where 'a' is the raw data in volts and 'b' is the calibration offset (µV per W m -2 ) as shown below:

Sensor Serial No. Location Offset (µV per W m -2 )
PAR 28563 Port 10.49
PAR 28558 Starboard 10.84
TIR 994132 Port 11.31
TIR 994133 Starboard 9.67

Relative wind speed and direction

Relative wind speed and direction were corrected for the ship's heading and speed using the POS MV gyro heading, ship velocities (calculated at BODC from the main positional channels) and an anemometer orientation of 0° on the bow following the Shipboard Automated Meteorological and Oceanographic System (SAMOS) method, thus obtaining the BODC derived absolute wind speed and direction parameters, with codes EWSBSS01 and EWDASS01 respectively.

Relative humidity and air temperature

Manufacturer's calibrations were not applied to the Vaisala HMP45AL temperature and humidity probe data because there were no significant offsets reported on the certified calibration certificate.

Screening

All reformatted data were visualised using the in-house EDSERPLO software. Where calibrations had been applied, only the calibrated versions of those parameters were screened. Suspect data were marked by adding an appropriate quality control flag.


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 JC159
Departure Date 2018-02-28
Arrival Date 2018-04-10
Principal Scientist(s)Brian A King (National Oceanography Centre, Southampton)
Ship RRS James Cook

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