Metadata Report for BODC Series Reference Number 1905546
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
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
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 | 1° |
Response time | 0.25 s |
Further details can be found in the manufacturer's specification sheet.
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 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 |
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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 |
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.
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 |
BAS Polar Science for Planet Earth RRS James Clark Ross Cruise JR20091202 (JR230) Underway Meteorology Instrumentation Document
Meteorological measurements were performed by several sensors located on the meteorological mast. All instruments were located at a height of 20 m except the anemometer which was located 22.5 m above the water.
Sensor | Manufacturer | Main role |
MP402H-050300 | Rotronic | Relative humidity and Air temperature |
Parlite | Kipp and Zonen | PAR |
SP Lite2 | Kipp and Zonen | TIR |
Windobserver 70 (Ultrasonic) Anemometer | Gill | Wind speed and direction |
PTB210 Class B | Vaisala | Air pressure |
BAS Polar Science for Planet Earth RRS James Clark Ross Cruise JR20091202 (JR230) Underway Meteorology Processing Procedures Document
Originator's Data Processing
Meteorological data originated from duplicate sensors located on the RRS James Clark Ross meteorological mast. The data were sent in two files and included the following variables: relative wind speed and direction, air temperature, air pressure, relative humidity, PAR and TIR.
All parameters were processed at the British Antarctic Survey Polar Data Centre using R scripts developed by Gwen Buys. The procedures consisted in loading, finding a commmon sampling interval and flagging suspect and/or absent values. The processing procedures carried out by the originator include:
- check for duplicate dates and times
- standardising time
- check for gaps in data
- check data against defined thresholds
- flagging
- unit conversion
File delivered to BODC
Filename | Content description | Format | Interval | Start date/time (UTC) | End date/time (UTC) | Comments |
jr288_230_ocl_exactsec | meteorology data | .txt | 5 s | 12/11/2009 13:52:34 | 31/12/2009 12:22:04 | processed by the originator |
jr228_230_anem_exactsec | processed wind data | .txt | 1s | 12/11/2009 13:52:36 | 31/12/2009 12:22:06 | relative wind parameters |
BODC Data Processing
All meteorological parameters were matched to BODC codes and transferred to internal BODC format using established procedures. No unit conversions were necessary as the originator's units are equivalent to the ones defined in the BODC vocabulary dictionary.
BODC processing procedures included loading of data and reduction through averaging, visual screening and flagging of anomalous values. All data expressed at measurement altitude. The originator's variables were mapped to appropriate BODC parameter codes as follows:
jr288_230_ocl_exactsec
Originator's variable | Originator's units | BODC code | BODC units | Unit conversion | Comments |
AirTemp1 | degrees C | CDTAZZ01 | degrees C | sensor 1 | |
AirTemp2 | degrees C | CDTAZZ02 | degrees C | sensor 2 | |
Hum1 | % | CRELZZ01 | % | sensor 1 | |
Hum2 | % | CRELZZ02 | % | sensor 2 | |
Pressure1 | hPa | CAPHTU01 | mbar | 1 hPa = 1 mbar | sensor 1 |
Pressure2 | hPa | CAPHTU02 | mbar | 1 hPa = 1 mbar | sensor 2 |
TIR1 | W m-2 | CSLRR101 | W m-2 | sensor 1 | |
TIR2 | W m-2 | CSLRR102 | W m-2 | sensor 2 |
jr228_230_anem_exactsec
Originator's variable | Originator's units | BODC code | BODC units | Unit conversion | Comments |
wind_speed | m s-1 | ERWSSS01 | m s-1 | ||
wind_dir | degrees | ERWDSS01 | degrees | 0° on the bow |
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.
The meteorological data were collected with two sets of instruments. Data from both sensors, primary and secondary, were transferred and visually checked.
Absolute 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.
EWSBSS01 and EWDASS01 were assigned M flags in different instances:
- to all cycles flagged in ERWDSS01 and ERWSSS01
- to sudden changes in wind speed and direction identified during screening
PAR and TIR
N flags were applied to null values on all channels.
Air Pressure
Both channels were screened and they exhibit a similar quality.
Air Temperature and Relative Humidity
Both sets of channels were screened and they exhibit a similar quality.
Project Information
Polar Science for Planet Earth (PSPE)
Introduction
The PSPE programme is the British Antarctic Survey strategic science framework that extends from April 2009 to March 2013. This programme was created to respond to the Natural Environment Research Council (NERC) strategy from 2007 to 2012, and contributes to a major environmental research programme, Living with Environmental Change (LWEC), which comprises a 10 year partnership between the UK's main organisations that fund, carry out and use environmental research and observations and will improve the country's tools and knowledge to build resilience, mitigate problems and adapt to environmental change.
The PSPE programme will focus on key questions that can be answered by research requiring access to the polar regions, developing research and long term monitoring and survey programmes in the Antarctic but also pursuing new bi-polar and Arctic research opportunities. The support given to the research programmes includes: investment in training, development of scientific skills and expertise, maintenance of the existing research infrastructures (research stations, ships, aircraft and laboratories), development of new techniques to collect, transfer, curate and visualize data from and relating to the polar regions.
PSPE consists of 6 programmes:
- Climate: atmospheric science and processes, including climate modelling
- Chemistry and past climate: quaternary climate including ice cores, lake, sediments, marine sediments and tropospheric chemistry
- Ecosystems: dynamics of polar ecosystems in response to the impacts of climate and fisheries
- Environmental Change and Evolution: the Earth system; geological to upper atmosphere, complexities and scales of interactions, controls on biological evolution
- Ice sheets: ice sheet evolution and flow, ice sheet changes and sea level rise
- Oceans: role of the polar oceans in controlling and influencing the Earth system
Data Availability
The data produced during this project are available to the academic community.
Data Activity or Cruise Information
Cruise
Cruise Name | JR20091202 (JR230) |
Departure Date | 2009-12-02 |
Arrival Date | 2009-12-11 |
Principal Scientist(s) | David Barnes (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 |
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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 |
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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 |