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Metadata Report for BODC Series Reference Number 1903607


Metadata Summary

Data Description

Data Category Meteorology -unspecified
Instrument Type
NameCategories
Vaisala PTB 210 digital barometer  meteorological packages
Kipp and Zonen CM6B pyranometer  radiometers
Kongsberg Seatex Seapath 200 Global Positioning System receiver and Gyrocompass  platform attitude sensors; Differential Global Positioning System receivers
Rotronic Hygromet MP402H temperature and humidity probe  meteorological packages
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) BIOFLAME
 

Data Identifiers

Originator's Identifier JR20080221-PRODQXF_MET
BODC Series Reference 1903607
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2008-02-21 20:09
End Time (yyyy-mm-dd hh:mm) 2008-04-11 11:10
Nominal Cycle Interval 60.0 seconds
 

Spatial Co-ordinates

Start Latitude 74.50550 S ( 74° 30.3' S )
End Latitude 51.65717 S ( 51° 39.4' S )
Start Longitude 120.26200 W ( 120° 15.7' W )
End Longitude 57.10617 W ( 57° 6.4' 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
CRELZZ011PercentRelative humidity of the atmosphere
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

BIOFLAME Cruise RRS James Clark Ross JR20080221 (JR178, JR179) Underway Meteorology Data Quality Document

TIR

From 14 March 2008 02:36:00 hours until the end of the cruise, CSLRR102 exhibits an offset with respect to CSLRR101. All instances were flagged M as the data for the secondary channel records baseline values of ~ 956.2 W m-2 during the night periods.


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 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

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

BIOFLAME Cruise RRS James Clark Ross JR20080221 (JR178, JR179) Underway Meteorology Instrumentation Document

The meteorological suite of sensors were located on the ship's meteorological mast, with all instruments located 20m above sea level, except the anemometer, which is at 22.5m above sea level and has an orientation of 0° on the bow.

Manufacturer Model Function
Rotronic Hygrometer MP402H-050300 Relative humidity and Air temperature
Kipp and Zonen Parlite PAR
Kipp and Zonen SP Lite2 TIR
Gill Windobserver 70 (ultrasonic) anemometer Wind speed and direction
Vaisala PTB210 Class B Air pressure

BIOFLAME Cruise RRS James Clark Ross JR20080221 (JR178, JR179) Underway Meteorology Processing Procedures Document

Originator's Data Processing

Data were not processed during the cruise, the procedures implemented at that time consisted of data retrieval from the previous 24h and logging those into sub directories on the ship's intranet system.

All instruments, except the anemometer, which was on a mast 22.5 m above sea level, were located on the ship's meteorological mast, the sensors were placed side by side, 20 m above sea level.

Meteorological data originated from duplicate sensors located on the RRS James Clark Ross meteorological mast. The data was sent in two files and included data from: relative wind speed and direction, air temperature, pressure and relative humidity, PAR and TIR.

The post-cruise 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
jr179_ocl_exactsec meteorology and surface hydrography data txt 5s 17/02/2008 20:30:28 11/04/2008 13:14:45 processed by the originator
jr179_anem_exactsec processed wind data txt 2s 17/02/2008 20:30:28 11/04/2008 13:14:48 relative wind parameters

BODC Data Processing

Parameter codes defined in BODC's parameter dictionary were assigned to originator's variables. Unit conversions were not necessary as the originator's units were equivalent to the ones on the BODC dictionary. Data were loaded into BODC's database using established data banking procedures.

jr179_ocl_exactsec

Originator's variable Originator's units BODC code BODC units Unit conversion Comments
AirTemp1 degrees C CDTAZZ01 degrees C   Primary sensor
Hum1 % CRELZZ01 %   Primary sensor
Pressure1 hPa CAPHTU01 mbar 1 hPa = 1 mbar Primary sensor
Pressure2 hPa CAPHTU02 mbar 1 hPa = 1 mbar Secondary sensor
TIR1 W m-2 CSLRR101 W m-2   Primary sensor
TIR2 W m-2 CSLRR102 W m-2   Secondary sensor
PAR1 µmol m-2 s-1 IRRDSV01 µE m-2 s-1 equivalent units Primary sensor
PAR2 µmol m-2 s-1 PARERXSD µE m-2 s-1 equivalent units Secondary sensor

jr179_anem_exactsec

Originator's variable Originator's units BODC Code BODC Units Unit conversion Comments
wind_heading degrees ERWDSS01 degrees   processed by the originator
wind_speed m s-1 ERWSSS01 m s-1   processed by the originator

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, missing data by both setting the data to an appropriate value and setting the quality control flag.

Absolute wind speed and direction

EWSBSS01 and EWDASS01 were derived using established procedures, from ERWSSS01, ERWDSS01, APNSGP01, APEWGP01, HEADCM01 and the anemometer orientation, which is 0°. Both channels were screened using HEADCM01 as a guide and M flags were applied to all cycles that were also flagged in HEADCM01. Additional M flags were applied to EWDASS01 to sudden changes in wind direction that were considered not to be realistic.

PAR and TIR

The light channels were screened and N flags applied to absent values obtained throughout the cruise. From 14 March 2008 02:36:00 hours until the end of the cruise, CSLRR102 exhibits an offset with respect to CSLRR101. All instances were flagged M as the data for the secondary channel records baseline values of ~ 956.2 W m-2 during the night periods.

Air Pressure

N flags were applied to absent data identified during the cruise period.

Air Temperature and Relative Humidity

During screening it was clear that the secondary air temperature and relative humidity channels weren't logging data. These channels were not included in the final file. N flags were applied to missing data in both CDTAZZ01 and CRELZZ01. CRELZZ01 exhibits some periods of fairly constant values (~ 99.1%), however these data were not flagged as they weren't considered anomalous.


Project Information

BIOFLAME- Biodiversity, Function, Limits and Adaptation from Molecules to Ecosystems

Introduction

This project is part of the BAS GSAC five year research programme. It was funded by NERC and covered a period from 2005 to 2009.

BIOFLAME will study the DNA "fingerprints " of biological evolution to trace the way species adapt to environmental extremes. The methods include high-volume, high-throughput molecular biological approaches, especially DNA sequencing, DNA libraries and micro-array technology on representative samples from the terrestrial and marine ecosystems on and around Antarctica.

BIOFLAME has two components: BIOPEARL (Biodiversity dynamics: Phylogeography, Evolution and Radiation of life) and BIOREACH (Biological Responses to Extreme Antarctic Conditions and Hyper-Extremes) and links with projects and programmes like ACES, CACHE, DISCOVERY2010 and GEACEP.

Scientific Objectives

The main objectives are:

  • Understand how the genomes of different species influence their responses to environmental variation and change at the level of individuals, populations, communities and ecosystems
  • Find out how the climate change influences biodiversity and affects important ways the ecosystem functions within the Antarctic and globally
  • Determine the role of Antarctica and extreme environments in evolutionary change and the development of global biodiversity

Data Availability

Data sets collected during this project are available to the academic community.

Acronyms used in this text:

BAS- British Antarctic Survey

GSAC- Global Science in an Antarctic Context

NERC- Natural Environment Research Council

ACES- Antarctic Climate and the Earth System

CACHE- Climate and Chemistry: forcings, feedbacks and phasings in the Earth System

DISCOVERY2010- Integrating Southern Ocean Ecosystems into the Earth System

GEACEP- Greenhouse to ice-house: Evolution of the Antarctic Cryosphere and Paleoenvironment


Data Activity or Cruise Information

Cruise

Cruise Name JR20080221 (JR179)
Departure Date 2008-02-21
Arrival Date 2008-04-11
Principal Scientist(s)Peter Enderlein (British Antarctic Survey), Robert D Larter (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