Metadata Report for BODC Series Reference Number 679544

Metadata Summary

Data Description

Data Category Meteorology -unspecified
Instrument Type Multiple instrument types
Instrument Mounting research vessel
Originating Country United Kingdom
Originator Prof Nick McCave
Originating Organization University of Cambridge Department of Earth Sciences
Processing Status banked
Online delivery of data Download available - Ocean Data View (ODV) format
Project(s) Rapid Climate Change Programme

Data Identifiers

Originator's Identifier CD159_MET
BODC Series Reference 679544

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2004-07-01 08:30
End Time (yyyy-mm-dd hh:mm) 2004-07-29 14:41
Nominal Cycle Interval 30.0 seconds

Spatial Co-ordinates

Southernmost Latitude 49.37200 N ( 49° 22.3' N )
Northernmost Latitude 63.14433 N ( 63° 8.7' N )
Westernmost Longitude 53.12817 W ( 53° 7.7' W )
Easternmost Longitude 4.86300 W ( 4° 51.8' W )
Positional Uncertainty 0.05 to 0.1 n.miles
Minimum Sensor or Sampling Depth -21.0 m
Maximum Sensor or Sampling Depth -12.0 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 -


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 (WGS84) by unspecified GPS system
ALONGP011DegreesLongitude east (WGS84) by unspecified GPS system
CAPHZZ011MillibarsPressure (measured variable) exerted by the atmosphere
CDTASS011Degrees CelsiusTemperature of the atmosphere by dry bulb thermometer
CRELSS011PercentRelative humidity of the atmosphere by humidity sensor
CSLRR1XS1Watts per square metreDownwelling vector irradiance as energy of electromagnetic radiation (solar (300-3000nm) wavelengths) in the atmosphere by pyranometer and taking the maximum value from two or more sensors
DWIRRXSD1Watts per square metreDownwelling vector irradiance as energy of electromagnetic radiation (PAR wavelengths) in the atmosphere by cosine-collector radiometer
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

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

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.


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

CD159 Underway Instrumentation



All meteorological and light sensors were mounted on the ship's foremast.

Sensor type Make and model Serial No. Comment
Air temperature and relative humidity Vaisala HMP44L S504004  
Barometric pressure Vaisala PTB100A S3440009 14.5 m above sea level
Photosynthetically active radiation (PAR) Didcot/ELE DRP-5 5143 Port
Photosynthetically active radiation (PAR) Didcot/ELE DRP-5 5144 Starboard
Solar radiation Kipp and Zonen 962276 Port
Solar radiation Kipp and Zonen 962301 Starboard
Anemometer Vaisala WAA P22306 16 m above sea level
Wind vane Vaisala WAV R21213 0/360 ° is aft.


Ship's intake was at approximately 2.5 m.

Sensor type Make and model Serial No. Comment
Thermosalinograph temperature FSI OTM 1361  
Remote (hull) temperature FSI OTM 1370  
Thermosalinograph conductivity FSI OCM 1358  
Flow-through transmissometer WET Labs/SeaTech T-1019D 20 cm path
Flow-through fluorometer WET Labs WS3S-134  

CD159 Meteorology Processing

CD159 Underway General Processing

UKORS data processing

Data logging and initial data processing were handled by the RVS ABC logging system.

Standard navigation processing was carried out using the relmov and bestnav programs. relmov takes in data from the electro-magnetic (EM) speed log and gyro compass in order to generate a relative motion file. This relative motion file was then combined with one or more fix files by the bestnav program in order to generate a 10 second interval best navigation file, bestnav. The original idea behind bestnav was that it would take infrequent fixes, such as those from older transit satellite systems (typically several hours between fixes), or even fixes manually input from sextant sightings, and then dead-reckon between those fixes. Today, with GPS fixes coming in every second, its dead-reckoning facility is only used for periods when GPS drops out, for instance due to an aurora.

The program prodep was used to correct depth data from the Simrad EA-500 echo sounder for variation of sound velocity in sea water (Carter's tables corrections) and written at 10 second intervals to a file called prodep. Meteorological data were collected through a Vaisala QL150 sensor collector at 1 second intervals, which is then averaged to 30 seconds. Salinity data were derived from temperature and conductivity data logged via the Surfmet system using the protsg program.

The bestnav, prodep, rawsurfmet and protsg ASCII files were submitted to BODC for banking.

BODC processing

Problems with the logging of the data channels in the protsg file meant rawsurfmet was used as the source of all hydrographic data, as well as meteorological variables. The bestnav, prodep and rawsurfmet data files were merged at 30 second intervals using an in-house script (BUDS loadrvs) and transformed into QXF format, a subset of netCDF. Following transfer to QXF, the data were visually screened using the in-house EDSERPLO package.


Navigation channels were checked for gaps and improbable speeds. 11 gaps were found, all less than 1 minute duration, which were filled using linear interpolation. No speed check errors were found.

The following unit conversions were made:

Project Information

Rapid Climate Change (RAPID) Programme

Rapid Climate Change (RAPID) is a £20 million, six-year (2001-2007) programme of the Natural Environment Research Council (NERC). The programme aims to improve our ability to quantify the probability and magnitude of future rapid change in climate, with a main (but not exclusive) focus on the role of the Atlantic Ocean's Thermohaline Circulation.

Scientific Objectives


Overall 38 projects have been funded by the RAPID programme. These include 4 which focus on Monitoring the Meridional Overturning Circulation (MOC), and 5 international projects jointly funded by the Netherlands Organisation for Scientific Research, the Research Council of Norway and NERC.

The RAPID effort to design a system to continuously monitor the strength and structure of the North Atlantic Meridional Overturning Circulation is being matched by comparative funding from the US National Science Foundation (NSF) for collaborative projects reviewed jointly with the NERC proposals. Three projects were funded by NSF.

A proportion of RAPID funding as been made available for Small and Medium Sized Enterprises (SMEs) as part of NERC's Small Business Research Initiative (SBRI). The SBRI aims to stimulate innovation in the economy by encouraging more high-tech small firms to start up or to develop new research capacities. As a result 4 projects have been funded.

Data Activity or Cruise Information


Cruise Name CD159
Departure Date 2004-07-01
Arrival Date 2004-07-30
Principal Scientist(s)I Nicholas McCave (University of Cambridge Department of Earth Sciences)
Ship RRS Charles Darwin

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
Q value below limit of quantification