Search the data

Metadata Report for BODC Series Reference Number 1903761


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 Unknown
Originating Organization British Oceanographic Data Centre, Liverpool
Processing Status banked
Online delivery of data Download available - Ocean Data View (ODV) format
Project(s) BAS Long Term Monitoring and Survey
 

Data Identifiers

Originator's Identifier JR16003_PROD_MET
BODC Series Reference 1903761
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2016-12-08 21:00
End Time (yyyy-mm-dd hh:mm) 2017-01-19 10:38
Nominal Cycle Interval 60.0 seconds
 

Spatial Co-ordinates

Southernmost Latitude 67.83783 S ( 67° 50.3' S )
Northernmost Latitude 51.65983 S ( 51° 39.6' S )
Westernmost Longitude 70.90567 W ( 70° 54.3' W )
Easternmost Longitude 36.44000 W ( 36° 26.4' 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)
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

The two PAR sensors gave identical readings until the 7th January 2017. They each have an instrument specific calibrated current amplifier that should give a (200umol/s.m^2)/mA output but PAR2 (PARERXSD) was consistently slightly higher than PAR1 (IRRDSV01). The reason is unclear. The ADCs that these sensors are on have been in place since 2011 and may have drifted in this time. Alternatively, this may be due to contamination of one of the sensors atop the mast. The data were flagged appropriately over this period.

The two PAR sensors gave identical readings until the 7th January 2017. They each have an instrument specific calibrated current amplifier that should give a (200umol/s.m^2)/mA output but PAR2 (PARERXSD) was consistently slightly higher than PAR1 (IRRDSV01). The reason is unclear. The ADCs that these sensors are on have been in place since 2011 and may have drifted in this time. Alternatively, this may be due to contamination of one of the sensors atop the mast. The data were flagged appropriately over this period.

In the 2015/2016 season both TIR sensors were not working. A complete set of new sensors were installed on the foremast at the beginning of the 2016/2017 season, however still both TIR sensors were not being read by the system. This was due to faulty TIR ADC modules, both of which were replaced while alongside in Rothera during the JR16003 cruise. Following this, only 1 of the 2 TIR sensors started reading. Comms with the ADC module were good so it is likely there was a fault either with the wiring in the mast top box, or a fault in the 25 way cable that goes up the foremast.

The ADCs that these sensors are on have been in place since 2011 and may have drifted in this time. Any errors are likely to be due to contamination. Therefore the TIR 1 (CSLRR101) sensor channel was dropped from the final seres, and TIR 2 (CSLRR102) should be used with caution.

In the 2015/2016 season both TIR sensors were not working. A complete set of new sensors were installed on the foremast at the beginning of the 2016/2017 season, however still both TIR sensors were not being read by the system. This was due to faulty TIR ADC modules, both of which were replaced while alongside in Rothera during the JR16003 cruise. Following this, only 1 of the 2 TIR sensors started reading. Comms with the ADC module were good so it is likely there was a fault either with the wiring in the mast top box, or a fault in the 25 way cable that goes up the foremast.

The ADCs that these sensors are on have been in place since 2011 and may have drifted in this time. Any errors are likely to be due to contamination. Therefore the TIR 1 (CSLRR101) sensor channel was dropped from the final seres, and TIR 2 (CSLRR102) should be used with caution.

RRS James Clark Ross Cruise JR16003 Meteorology Data Quality Document

Air temperature, relative humidity and atmospheric pressure

There was good agreement between the two sensors for each of pressure, air temperature and relative humidity. Clear spikes in the data were flagged as unrealistic.

Light sensors

Overall, there was good agreement between both of the PAR sensor readings, though IRRDSV01 channel generally reports slightly higher values than PARERXSD. Clear spikes in the PAR channels were flagged.

Only one of the TIR channels reported any data. The first channel read consistent values of either zero or negative spikes and so was excluded from the dataset. The second TIR channel CSLRR102 contains only a very short period of usable data, starting at 12/01/2017 14:41:00. Prior to this, values consistently read around 0. These zero values have been flagged. Clear spikes in the data have also been flagged.

Wind shielding

There appeared to be a shielding effect by an object or the ship superstructure when winds were coming from 250 - 300 degrees relative to the bow of the ship (determined by visual examination of relative wind direction against other met channels). All met channels, with the exception of light, were flagged appropriately. This affected air pressure, air temperature, humidity, relative wind speed and direction, true wind speed and direction.


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

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.

RRS James Clark Ross Cruise JR16003 Meteorology Instrument Description Document

The meteorological suite of sensors is located on the bow at 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
Kipp and Zonen (sensor 1) SPLite 2 Total Incident Radiation (TIR) I61952 19/04/2016
Kipp and Zonen (sensor 2) SPLite 2 Total Incident Radiation (TIR) I61953 19/04/2016
Kipp and Zonen (sensor 1) Proto Quantum Spectra 1 (PQS1) Photosynthetically Active Radiation (PAR) 150813 04/11/2015
Kipp and Zonen (sensor 2) Proto Quantum Spectra 1 (PQS1) Photosynthetically Active Radiation (PAR) 150814 04/11/2015
Rotronic MP402H-050300 Air temperature and relative humidity (port) 0061606138 25/05/2016
Rotronic MP402H-050300 Air temperature and relative humidity (starboard) 0060743896 25/05/2016
Vaisala PTB210 Class B Digital barometer V1450003 10/04/2000
Vaisala PTB210 Class B Digital barometer V1450002 10/04/2000
Windobserver 70 Anemometer - -

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.

RRS James Clark Ross Cruise JR16003 Meteorology Processing Procedures Document

Originator's Data Processing

Meterological data were measured from instruments located on the RRS James Clark Ross meterological mast. The data streams were logged every second to the SCS system and merged into comma separated file formats (.ACO). The instruments logged the meterological data to the oceanlogger and anemometer ACO files and the header information was stored in the corresponding .TPL files. The start and end times of the meterological files are shown in the table below.

Filename Content Discription Format Interval Start date Start Time End date End Time
oceanlogger.ACO
  • Air temperature x2 channels
  • Relative humidity x2 channels
  • PAR x2 channels
  • TIR channels X2
  • Air pressure x2 channels
ASCII (.ACO) ~5 sec 04/12/2016 12:45:32 20/01/2017 02:02:10
Anemometer.ACO Relative wind speed and direction ASCII (.ACO) ~1 sec 04/12/2016 12:10:13 20/01/2017 02:00:49

BODC Data Processing

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

Originator's File Originator's Parameter Originator's Units Description BODC parameter BODC Units Comments and unit conversions
oceanlogger.ACO baro1 hPa Pressure (measured variable) exerted by the atmosphere by barometer and expressed at measurement altitude CAPHTU01 mbar Units are equivalent
oceanlogger.ACO baro2 hPa Pressure (measured variable second sensor) exerted by the atmosphere by barometer and expressed at measurement altitude CAPHTU02 mbar Units are equivalent
oceanlogger.ACO airtemp1 °C Temperature (second sensor) of the atmosphere by dry bulb thermometer CDTAZZ01 °C -
oceanlogger.ACO airtemp2 °C Temperature (second sensor) of the atmosphere by dry bulb thermometer CDTAZZ02 °C -
oceanlogger.ACO humidity1 % Relative humidity (second sensor) of the atmosphere CRELZZ01 % -
oceanlogger.ACO humidity2 % Relative humidity (second sensor) of the atmosphere CRELZZ02 % -
oceanlogger.ACO par1 µmol m-2 s-1 Downwelling vector irradiance as photons (PAR wavelengths) in the atmosphere by cosine-collector radiometer IRRDSV01 µE m-2 s-1 Units are equivalent
oceanlogger.ACO par2 µmol m-2 s-1 Downwelling vector irradiance as photons (PAR wavelengths) in the atmosphere by cosine-collector radiometer PARERXSD µE m-2 s-1 Units are equivalent
oceanlogger.ACO tir1 W m-2 Downwelling vector irradiance as energy (solar (300-3000 nm) wavelengths) in the atmosphere by pyranometer CSLRR101 W m-2 Dropped after transfer due to poor quality.
oceanlogger.ACO tir2 W m-2 Downwelling vector irradiance as energy (solar (300-3000 nm) wavelengths) in the atmosphere by pyranometer CSLRR102 W m-2 Dropped after transfer due to poor quality
anemometer.ACO wind_dir Degrees Wind direction (relative to moving platform) in the atmosphere by in-situ anemometer ERWDSS01 Degrees -
anemometer.ACO wind_speed m s-1 Wind speed (relative to moving platform) in the atmosphere by in-situ anemometer ERWSSS01 m s-1 -
- - - Wind speed in the atmosphere by in-situ anemometer EWSBSS01 m s-1 Channel derived using BODC Matlab routine 'wincor'
- - - Wind direction in the atmosphere by in-situ anemometer EWDASS01 Degrees true Channel derived using BODC Matlab routine 'wincor'

Wind sensors

The BODC Matlab procedure 'wincor' was run using the relative wind speed and direction and ship's north-south and east-west velocities, with the vane set to 0 degrees at the bow. This program generated the absolute wind speed and direction.

Calibrations

No calibrations were applied to the meteorological data.


Project Information

BAS Long Term Monitoring and Survey

Introduction

The Long Term Monitoring and Survey project (LTMS) has been running since the British Antarctic Survey (BAS) was created. This project is one of the BAS core projects, with several groups of scientists collecting various types of data e.g biological, geological, atmospheric, among others.

Data collection is achievable through a wide scope of instruments and platforms, e.g. the Antarctic research stations, autonomous instrument platforms deployed on or from BAS research ships, BAS aircrafts, satellite remote sensing and others.

Scientific Objectives

This project was implemented in order to measure change and variability in the Earth system. Its long term duration allows for the monitoring of processes that could be missed in shorter term studies and experiments. The data collected is also used to check and improve the reliability of models used to stimulate and predict the behavior of the Earth system.

The main objectives are:

  • Topographic survey
  • Geosciences survey
  • Biological survey and monitoring
  • Atmospheric and oceanographic monitoring

Data Availability

The data sets obtained through this project are available to the academic community.


Data Activity or Cruise Information

Cruise

Cruise Name JR16003
Departure Date 2016-12-08
Arrival Date 2017-01-19
Principal Scientist(s)Sophie Fielding (British Antarctic Survey), Teal R Riley (British Antarctic Survey)
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