Metadata Report for BODC Series Reference Number 1117876


Metadata Summary

Data Description

Data Category Hydrography time series at depth
Instrument Type
NameCategories
Vemco Minilog12 temperature recorder  water temperature sensor
Instrument Mounting subsurface mooring
Originating Country United Kingdom
Originator Dr John Huthnance
Originating Organization Proudman Oceanographic Laboratory (now National Oceanography Centre, Liverpool)
Processing Status banked
Project(s) Oceans 2025
Oceans 2025 Theme 3
Oceans 2025 Theme 3 WP3.1
Geophysical Oceanography
 

Data Identifiers

Originator's Identifier D318_2699
BODC Series Reference 1117876
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2007-04-18 06:00
End Time (yyyy-mm-dd hh:mm) 2007-05-09 18:34
Nominal Cycle Interval 120.0 seconds
 

Spatial Co-ordinates

Latitude 36.66800 N ( 36° 40.1' N )
Longitude 8.21500 W ( 8° 12.9' W )
Positional Uncertainty 0.01 to 0.05 n.miles
Minimum Sensor Depth 706.0 m
Maximum Sensor Depth 706.0 m
Minimum Sensor Height 41.0 m
Maximum Sensor Height 41.0 m
Sea Floor Depth 747.0 m
Sensor Distribution Fixed common depth - All sensors are grouped effectively at the same depth which is effectively fixed for the duration of the series
Sensor Depth Datum Approximate - Depth is only approximate
Sea Floor Depth Datum Instantaneous - Depth measured below water line or instantaneous water body surface
 

Parameters

BODC CODE Rank Units Short Title Title
AADYAA01 1 Days Date(Loch_Day) Date (time from 00:00 01/01/1760 to 00:00 UT on day)
AAFDZZ01 1 Days Time(Day_Fract) Time (time between 00:00 UT and timestamp)
ACYCAA01 1 Dimensionless Record_No Sequence number
TEMPPR01 1 Degrees Celsius Temp Temperature of the water body
 

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

VEMCO Minilog12-TR temperature logger

Description

The VEMCO Minilog12-TR is a miniature data logger that records temperature at a user programmed time interval. It is housed in a waterproof cylinder and the temperature sensor is mounted on a protruding stainless steel probe.

Specifications

Memory 16k, 32k or 64k. Temperature readings stored in Electrically Erasable Programmable Read Only Memory (EEPROM). Logging duration is between 3 hours and 5 years depending on the logging interval.
Data Retention 20 years.
Temperature Range -5 to 40°C; 0.015°C resolution; ±0.1°C accuracy with factory calibration.
Maximum Depth 1000m
Communication Link Downloaded via PC interface box. Connects to computer via DB9 connector. No external connections are required. Full memory downloads in 6 minutes for 16k.
Battery Internal lithium battery with life of up to 5 years or up to 1200 full deployments.

For more information please see the Manufacturer's information sheet.

Processing of D318 Vemco minilogger data

Originator's processing

The thermistor inside the Vemco minilogger initially produced an analogue value representing how its electrical resistance changes with temperature. This value was converted into a digital value using an analogue-to-digital (AtoD) converter inside the logger. When the data was downloaded an internally stored calibration was applied to the value to give the temperature in °C and the raw digital output as AtoD. After the data was downloaded it was converted from binary to ASCII by the data originator. A visual inspection was then carried out by the data originator before it was sent to BODC. No further processing was carried out by the data originator.

BODC processing

The Vemco minilogger data were supplied to BODC in the form of 46 ASCII files. The sensor with the serial number 0149E gave bad data and will not be transferred by BODC. Following standard BODC procedure, the 45 good data files were reformatted into BODC internal format using internal transfer function 478. This table shows how the variables present in the minilogger data files were mapped to appropriate BODC parameter codes.

Originator's variable Description Units BODC parameter code Units Comments
Date - dd/mm/yyyy - - This variable was not transferred. BODC re-calculate date and time when the data is transferred using the start time and sampling interval.
Time - hh:mm:ss - - This variable was not transferred. BODC re-calculate date and time when the data is transferred using the start time and sampling interval.
Celsius Temperature of the water body °C TEMPPR01 °C -
Temp - AtoD - - This parameter gives temperature as raw digital output. These data have not been transferred as they are not in engineering units.

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. In all series the beginning and end of the data has been recorded when the Vemco minilogger was either on deck or not at its deployment depth. In these cases, data cycles that are not at their preferred depth have been flagged.

General Data Screening carried out by BODC

BODC screen both the series header qualifying information and the parameter values in the data cycles themselves.

Header information is inspected for:

Documents are written by BODC highlighting irregularities which cannot be resolved.

Data cycles are inspected using time or depth series plots of all parameters. Currents are additionally inspected using vector scatter plots and time series plots of North and East velocity components. These presentations undergo intrinsic and extrinsic screening to detect infeasible values within the data cycles themselves and inconsistencies as seen when comparing characteristics of adjacent data sets displaced with respect to depth, position or time. Values suspected of being of non-oceanographic origin may be tagged with the BODC flag denoting suspect value; the data values will not be altered.

The following types of irregularity, each relying on visual detection in the plot, are amongst those which may be flagged as suspect:

If a large percentage of the data is affected by irregularities then a Problem Report will be written rather than flagging the individual suspect values. Problem Reports are also used to highlight irregularities seen in the graphical data presentations.

Inconsistencies between the characteristics of the data set and those of its neighbours are sought and, where necessary, documented. This covers inconsistencies such as the following:

This intrinsic and extrinsic screening of the parameter values seeks to confirm the qualifying information and the source laboratory's comments on the series. In screening and collating information, every care is taken to ensure that errors of BODC making are not introduced.


Project Information

Oceans 2025 - The NERC Marine Centres' Strategic Research Programme 2007-2012

Who funds the programme?

The Natural Environment Research Council (NERC) funds the Oceans 2025 programme, which was originally planned in the context of NERC's 2002-2007 strategy and later realigned to NERC's subsequent strategy (Next Generation Science for Planet Earth; NERC 2007).

Who is involved in the programme?

The Oceans 2025 programme was designed by and is to be implemented through seven leading UK marine centres. The marine centres work together in coordination and are also supported by cooperation and input from government bodies, universities and other partners. The seven marine centres are:

Oceans2025 provides funding to three national marine facilities, which provide services to the wider UK marine community, in addition to the Oceans 2025 community. These facilities are:

The NERC-run Strategic Ocean Funding Initiative (SOFI) provides additional support to the programme by funding additional research projects and studentships that closely complement the Oceans 2025 programme, primarily through universities.

What is the programme about?

Oceans 2025 sets out to address some key challenges that face the UK as a result of a changing marine environment. The research funded through the programme sets out to increase understanding of the size, nature and impacts of these changes, with the aim to:

In order to address these aims there are nine science themes supported by the Oceans 2025 programme:

In the original programme proposal there was a theme on health and human impacts (Theme 7). The elements of this Theme have subsequently been included in Themes 3 and 9.

When is the programme active?

The programme started in April 2007 with funding for 5 years.

Brief summary of the programme fieldwork/data

Programme fieldwork and data collection are to be achieved through:

The data is to be fed into models for validation and future projections. Greater detail can be found in the Theme documents.


Oceans 2025 Theme 3: Shelf and Coastal Processes

Over the next 20 years, UK local marine environments are predicted to experience ever-increasing rates of change - including increased temperature and seawater acidity, changing freshwater run-off, changes in sea level, and a likely increase in flooding events - causing great concern for those charged with their management and protection. The future quality, health and sustainability of UK marine waters require improved appreciation of the complex interactions that occur not only within the coastal and shelf environment, but also between the environment and human actions. This knowledge must primarily be provided by whole-system operational numerical models, able to provide reliable predictions of short and long-term system responses to change.

However, such tools are only viable if scientists understand the underlying processes they are attempting to model and can interpret the resulting data. Many fundamental processes in shelf edge, shelf, coastal and estuarine systems, particularly across key interfaces in the environment, are not fully understood.

Theme 3 addresses the following broad questions:

Within Oceans 2025, Theme 3 will develop the necessary understanding of interacting processes to enable the consequences of environmental and anthropogenic change on UK shelf seas, coasts and estuaries to be predicted. Theme 3 will also provide knowledge that can improve the forecasting capability of models being used for the operational management of human activities in the coastal marine environment. Theme 3 is therefore directly relevant to all three of NERC's current strategic priorities; Earth's Life-Support Systems, Climate Change, and Sustainable Economies

The official Oceans 2025 documentation for this Theme is available from the following link: Oceans 2025 Theme 3

Weblink: http://www.oceans2025.org/


Oceans 2025 Theme 3, Work Package 3.1: Global Impacts of Shelf Seas

At the margins of the shelf seas, steep shelf-slope bathymetry has impacts on ocean circulation and the transmission of signals around the ocean basins (Hughes and Meredith, 2006), while dense water formation and cascades at the shelf edge are thought to be important for water mass formation (Ivanov et al., 2004) and for the off-shelf transport of organic and inorganic carbon (e.g. Wollast and Chou, 2001).

In this Work Package, the Proudman Oceanographic Laboratory (POL) aim to quantify the water fluxes between the shelf and open ocean globally, including the development of methods to incorporate shelf effects into global models. Greater understanding of the whole carbon cycle will benefit from combining this work on down-slope fluxes of water (and its constituent dissolved carbon) with work in Oceans 2025 Theme 5 (down-slope transports of sediments and particulate carbon).

The specific objectives are:

More detailed information on this Work Package is available at pages 5 - 27 of the official Oceans 2025 Theme 3 document: Oceans 2025 Theme 3

Weblink: http://www.oceans2025.org/

Some data used in Work Package 3.1 were collected to complement work carried out on the European Union's Geophysical Oceanography (GO) project. For these data, linkage to the GO project documentation is provided

References:

Hughes CW. and Meredith MP., 2006. Coherent sea level fluctuations along the global continental slope. Phil Trans Roy Soc A, 364, 885-901.

Ivanov VV., Shapiro GI., Huthnance JM., Aleynik DL. and Golovin PN., 2004. Cascades of dense water around the world ocean. Progr in Oceanogr, 60(1), 47-98.

Wollast R. and Chou L., 2001. Ocean margin exchange in the northern Gulf of Biscay: OMEX I. An introduction. Deep Sea Res II 48, 2971-2978.

Yool A. and Fasham MJR., 2001. An examination of the 'continental shelf pump' in an open ocean general circulation model. Global Biogeochem Cycles, 15, 831-844.


Geophysical Oceanography

This project was funded by the European Union (EU) as part of Framework 6 - New and Emerging Science and Technologies (NEST) programme. The project ran from 01 February 2006 to 30 September 2009. There were eight scientific institutions involved in the project:

Research aims

The primary aims of Geophysical Oceanography (GO) project were to provide a calibration between seismic images of water structure and conventional oceanographic measurements, in addition to testing various seismic acquisition systems and novel geometries for seismic imaging of water structure. In particular, this project examined internal waves and their interaction with the continental slope, while using extensive marine geophysical knowledge acquired over the past 4 decades to evaluate longer term changes in the ocean structure.

Fieldwork

Research for GO was conducted during RSS Discovery cruise D318, which was split into two legs, D318a and D318b. The research was conducted between 17 April 2007 and 14 May 2007 in the Gulf of Cadiz. For leg D318b, RSS Discovery was joined by RV Poseidon cruise PO350 (funded under a separate grant from the German research council with project partners IFM-GEOMAR). Some of the fieldwork provided data for Natural Environment Research Council (NERC) Oceans 2025 Theme 3 Work Package 3.1 as well as for GO. These data have been tagged accordingly below.

GO fieldwork objectives

The primary objectives of the GO project were:

The main objectives of cruise D318 were:

The main objective of cruise PO350 was:

D318 measurements

PO350 measurements


Data Activity or Cruise Information

Data Activity

Start Date (yyyy-mm-dd) 2007-04-18
End Date (yyyy-mm-dd) 2007-05-09
Organization Undertaking ActivityProudman Oceanographic Laboratory (now National Oceanography Centre, Liverpool)
Country of OrganizationUnited Kingdom
Originator's Data Activity IdentifierD318_A1T
Platform Categorysubsurface mooring

D318 temperature logger mooring at site A1T

A mooring comprising mainly of Vemco miniloggers was deployed in the Gulf of Cadiz at site A1T (approximately 500 m from site A1) on 18 April 2007. The mooring consisted of a 50 m mooring wire attached to a 500 kg anchor clump via an Ixsea transponding release, with buoyancy provided by glass buoyancy spheres. The miniloggers were recovered on 09 May 2007 with all miniloggers except s/n 8519, which suffered communication errors, recording their data successfully. The Vemco miniloggers recorded data at either two or four minute intervals, depending on their memory capacity.

For more information on the cruise, see the D318 cruise report.

Deployed (UTC): 2007-04-18 07:05:00
Water depth (m): 747
Latitude: 36.668°
Longitude: -08.215°
Recovered (UTC): 2007-05-09 17:18:00

Temperature logger mooring configuration

Nominal height above bed (m) Instrument type Serial number Logging interval (minutes) Comments
53 Star Oddi DST -TD 3133 0.5 BODC have received no data from this instrument.
49 Vemco Minilog12-T 2106 2 -
45 Vemco Minilog12-T 8519 4 There are no data available for this instrument due to a problem with sensor communications.
41 Vemco Minilog12-T 2699E 2 -
37 Vemco Minilog12-T 2192E 4 -
33 Vemco Minilog12-T 6025E 2 -
29 Vemco Minilog12-T 2197 4 -
25 Vemco Minilog12-T 4476 2 -
21 Star Oddi DST -TD 3132 0.5 BODC have received no data from this instrument.
19 Vemco Minilog12-T 2189E 4 -
17 Vemco Minilog12-T 2108 2 -
15 Vemco Minilog12-T 8512 4 -
13 Vemco Minilog12-T 2111 2 -
11 Vemco Minilog12-T 8516 4 -
9 Vemco Minilog12-T 2420 2 The sensitivity of this instrument was impaired due to low battery.
7 Vemco Minilog12-T 8517 4 -
5 Vemco Minilog12-T 2424 2 The sensitivity of this instrument was impaired due to low battery.
3 Vemco Minilog12-T 7169 4 -

Other Series linked to this Data Activity - 1117803 1117840 1117796 1117919 1117944 1117815 1117888 1117932 1117839 1117852 1117920 1117827 1117864 1117907

Cruise

Cruise Name D318A
Departure Date 2007-04-17
Arrival Date 2007-04-23
Principal Scientist(s)Richard W Hobbs (University of Durham, Department of Earth Sciences)
Ship RRS Discovery

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