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Metadata Report for BODC Series Reference Number 2012094


Metadata Summary

Data Description

Data Category Meteorology -unspecified
Instrument Type
NameCategories
Vaisala HMP temperature and humidity sensor  meteorological packages
Gill Windsonic anemometer  anemometers
Kipp and Zonen CM6B pyranometer  radiometers
Skye Instruments SKE510 PAR energy sensor  radiometers
Vaisala PTB110 barometer  meteorological packages
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) NE/K011855/1
 

Data Identifiers

Originator's Identifier JC136_MCAL_NAVD_MET
BODC Series Reference 2012094
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2016-05-14 08:00
End Time (yyyy-mm-dd hh:mm) 2016-06-22 09:47
Nominal Cycle Interval 60.0 seconds
 

Spatial Co-ordinates

Southernmost Latitude 49.85133 N ( 49° 51.1' N )
Northernmost Latitude 59.85417 N ( 59° 51.3' N )
Westernmost Longitude 14.00500 W ( 14° 0.3' W )
Easternmost Longitude 0.99350 W ( 0° 59.6' W )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth -19.4 m
Maximum Sensor or Sampling Depth -17.1 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

No Problem Report Found in the Database

RRS James Cook Cruise JC136 meteorological data quality report

Further to the data processing documentation, data quality issues concerning meteorology data were noted.

All parameters

From 03/06/2016 10:21 to 04/06/2016 05:32 channels ERWSSS01, ERWDSS01, EWSBSS01, EWDASS01,CDTASS01, CRELSS01, CAPHTU01 were affected by spikes followed by prolonged period of unrealistic values until Techsas froze and restart. This was associated with arriving the vessel to Stornway port. These unrealistic values have been set to null.


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
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 JC136 cruise meteorology instrumentation

The meteorological suite of sensors was located on the forecastle deck, at approximately 17.1 m above sea level. The anemometer orientation was 0° on the bow.

The following instruments were used for meteorological measurements:

Manufacturer Model Serial number Last manufacturer's calibration date Comments
Skye SKE 510 28559 11/09/2015 Port
Skye SKE 510 28557 30/04/2015 Starboard
Kipp and Zonen CM 6B 47462 01/06/2015 Port
Kipp and Zonen CM 6B 47463 15/06/2015 Starboard
Gill Windsonic 064537 - No calibration required
Vaisala HMP45 B4950010 12/08/2015 No calibration required
Vaisala PTB110 J0710001 12/04/2016 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 JC136 meteorology data processing procedures

Originator's Data Processing

The data were logged by the TECHSAS (TECHnical and Scientific sensors Acquisition System) system into daily NetCDF files. The TECHSAS system is used as the main data logging system on NMF-SS operated reserach vessels. The daily TECHSAS NetCDF navigation and bathymetry files provided to BODC were used for BODC processing. Data were additionally logged into the RVS Level-C format files which have been archived at BODC. A portion of the data were then processed daily using the National Oceanography Centre MSTAR data procesing routines (mstar_version_v3).

Files delivered to BODC

Filename Content description Format Interval Start date/time (UTC) End date/time (UTC) Comments
*-*-Light-JC-SM_JC1.SURFMETv2 Air pressure, photosynthetically active radiation (PAR), total irradiance (TIR) NetCDF 1 hz 13-May-2016 12:52:54 22-June-2016 09:46:35  
*-*-MET-JC-SM_JC1.SURFMETv2 Apparent wind speed and direction, air temperature and humidity NetCDF 1 hz 13-May-2016 12:52:54 22-June-2016 09:46:35  

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:

*-*-Light-DY-SM_DY1.SURFMETv3

Originator's variable Originator's units Description BODC Code BODC Units Unit conversion Comments
pres mbar Air pressure CAPHTU01 mbar N/A -
ppar Volts*10-5 PAR (port) DVLTRPSD Volts *0.00001 -
spar Volts*10-5 PAR (starboard) DVLTRSSD Volts *0.00001 -
ptir Volts*10-5 TIR (port) CVLTRP01 Volts *0.00001 -
stir Volts*10-5 TIR (starboard) CVLTRS01 Volts *0.00001 -

*-*-MET-DY-SM_DY1.SURFMETv3

Originator's variable Originator's units Description BODC Code BODC Units Unit conversion Comments
humid % Relative air humidity CRELZZ01 % N/A -
airtemp °C Air temperature CDTAZZ01 °C N/A -
speed m/s Apparent wind speed ERWSSS01 m/s N/A -
direct Degrees Apparent wind direction ERWDSS01 Degrees N/A -

All data expressed at measurement altitude.

Manufacturers Calibrations

PAR/TIR

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

y (W m -2 ) = (a x 106 )/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 28559 port 10.83
PAR 28557 starboard 10.77
TIR 47462 port 11.87
TIR 474623 starboard 10.62

Absolute wind speed and direction

Relative wind speed and direction were corrected to absolute winds using the ship's heading, speed over ground, course over ground and anemometer orientation on the bow in line with the SAMOS method. The link to the SAMOS method can be fine here.

Air pressure

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

Air temperature and humidity

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


Project Information

Deep Links: Influence of population connectivity on depth-dependent diversity of deep-sea marine benthic biota

Background

Species populations are connected to each other through both movement of adults (migration) and eggs, larvae and juveniles (dispersal). If populations become isolated from one another (i.e. are no longer connected), then through genetic mutation, drift and natural selection, they may become so different that they evolve into new biological species. Understanding how populations become isolated is critical to understanding the process of speciation. In the marine environment many species do not move as adults (e.g. corals) or move very slowly (sea urchins). This means that for different adult populations to remain connected they rely on dispersal of early life history stages. Most marine species have a larval stage that lives in the plankton for a period of time, moving with the currents, before settling in a new area. It is larval dispersal that keeps distant populations connected. So understanding patterns of larval dispersal is important to understanding connectivity.

In the deep-sea (>200m) the bathyal region of the continental slope has been identified as supporting high species richness and being an area where the rate of origination of new species may also be high. The reasons for this are not clear, but given the importance of connectivity to population isolation and speciation, it follows that the key to understanding patterns of species diversity in this region lies in understanding connectivity. New research has suggested that because the speed of the currents that carry larvae decreases as you go deeper, larvae might not be able to travel as far, leading to a greater tendency for populations at bathyal depths to become isolated over a given distance, and thus increasing the chances of speciation.

This study aims to test this theory by investigating how patterns of connectivity vary with depth. This will be done in 3 ways:

  1. Using genetic analysis (similar to DNA fingerprinting) to compare how related distant populations are and if they become less closely related as you go deeper
  2. Using a model of ocean currents to simulate the movement of larvae between sites
  3. Io look at the range and abundance of species present at distant locations to see if those at shallower depths are more similar to each-other than those at bathyal depths.

Fieldwork

Data were collected on James Cook cruise JC136 between 14th May and 23rd June 2016. During the cruise, 5 sites in the North East Atlantic (Rockall Bank, George Bligh Bank, Anton Dohrn Seamount, Wyville-Thomson Ridge, and Rosemary Bank) were visited undertaking 27 ROV dives, 12 AUV missions, 43 CTD casts, 2 mooring deployments. 3630 biological samples were obtained from sufficient depth and site coverage for molecular analysis for 3 target species.

Participants

  • Dr Kerry Howell (Principal Investigator - Parent Grant) University of Plymouth
  • Dr Andy Foggo (Co-Investigator) University of Plymouth
  • Dr Alex Nimmo-Smith (Co-Investigator) University of Plymouth
  • Dr Vasyl Vlasenko (Co-Investigator) University of Plymouth
  • Professor Alex Rogers (Principal Investigator - Child Grant) University of Oxford

Funding

This project was funded by Natural Environment Research Council parent and child grants NE/K011855/1 and NE/K013513/1, entitled 'Influence of population connectivity on depth-dependent diversity of deep-sea marine benthic biota', with the former, parent grant led by Dr Kerry Howell, University of Plymouth, and the latter child grant led by Professor Alex Rogers, University of Oxford. The project was also in partnership with the Joint Nature Conservation Committee (JNCC) and the British Geological Survey (BGS). The project was active between 16th November 2015 and 31st December 2019.


Data Activity or Cruise Information

Cruise

Cruise Name JC136
Departure Date 2016-05-14
Arrival Date 2016-06-23
Principal Scientist(s)Kerry Howell (University of Plymouth School of Marine Science and Engineering), Michelle L Taylor (University of Oxford Department of Zoology)
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