Metadata Report for BODC Series Reference Number 1903761
Metadata Summary
Problem Reports
Data Access Policy
Narrative Documents
Project Information
Data Activity or Cruise Information
Fixed Station Information
BODC Quality Flags
SeaDataNet Quality Flags
Metadata Summary
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Problem Reports
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 |
| 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 |