Metadata Report for BODC Series Reference Number 584883
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
Data Description |
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Time Co-ordinates(UT) |
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Parameters |
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Problem Reports
No Problem Report Found in the Database
Data Access Policy
Public domain data
These data have no specific confidentiality restrictions for users. However, users must acknowledge data sources as it is not ethical to publish data without proper attribution. Any publication or other output resulting from usage of the data should include an acknowledgment.
The recommended acknowledgment is
"This study uses data from the data source/organisation/programme, provided by the British Oceanographic Data Centre and funded by the funding body."
Narrative Documents
Neil Brown MK3 CTD
The Neil Brown MK3 conductivity-temperature-depth (CTD) profiler consists of an integral unit containing pressure, temperature and conductivity sensors with an optional dissolved oxygen sensor in a pressure-hardened casing. The most widely used variant in the 1980s and 1990s was the MK3B. An upgrade to this, the MK3C, was developed to meet the requirements of the WOCE project.
The MK3C includes a low hysteresis, titanium strain gauge pressure transducer. The transducer temperature is measured separately, allowing correction for the effects of temperature on pressure measurements. The MK3C conductivity cell features a free flow, internal field design that eliminates ducted pumping and is not affected by external metallic objects such as guard cages and external sensors.
Additional optional sensors include pH and a pressure-temperature fluorometer. The instrument is no longer in production, but is supported (repair and calibration) by General Oceanics.
Specifications
These specification apply to the MK3C version.
Pressure | Temperature | Conductivity | |
Range | 6500 m 3200 m (optional) | -3 to 32°C | 1 to 6.5 S cm-1 |
Accuracy | 0.0015% FS 0.03% FS < 1 msec | 0.0005°C 0.003°C < 30 msec | 0.0001 S cm-1 0.0003 S cm-1 < 30 msec |
Further details can be found in the specification sheet.
G.O.Sars 06 / 2000 CTD Processing Document
The CTD data were processed by the Institute of Marine Research, Bergen.
A Seabird 911 plus was used to sample the Svinoy (April 2000) CTD data. The data were low pass filtered and averaged into 1 db bins using the Seabird SEASOFT software.
A Neil Brown was used to sample the Gimsoy (May 2000) CTD data. These data were reduced using linear regression filter (10 raw data points reduced to 1 point), the filtered data were then averaged into 1 db bins using in- house software.
All data were then manually checked for obvious incorrect values and density instabilities, these were either replaced or marked as dubious.
The salinity / conductivity data were corrected using water samples taken on each cruise.
Section | Period | Station Numbers | Conductivity Calibration |
---|---|---|---|
Svinoy | April 2000 | 0534 - 0548 | Obs + 0.005 |
Gimsoy | May 2000 | 0600 - 0609 | Obs + 0.008 |
The data were also visually inspected by BODC
Additional Meteorological Station Data
CTD | Wdir | Wspeed | Dtemp | Weather | Clouds | Sea | Ice |
---|---|---|---|---|---|---|---|
GS2000/0534 | 15 | 4 | 0.0 | 2 | 8 | 4 | 0 |
GS2000/0535 | 13 | 5 | 0.0 | 2 | 8 | 4 | 0 |
GS2000/0536 | 0 | 0 | 0.0 | 1 | 4 | 3 | 0 |
GS2000/0537 | 10 | 6 | 0.0 | 1 | 4 | 3 | 0 |
GS2000/0538 | 10 | 8 | 0.0 | 1 | 4 | 3 | 0 |
GS2000/0539 | 11 | 7 | 0.0 | 1 | 3 | 3 | 0 |
GS2000/0540 | 0 | 0 | 0.0 | 1 | 3 | 3 | 0 |
GS2000/0541 | 10 | 7 | 0.0 | 1 | 3 | 3 | 0 |
GS2000/0542 | 11 | 7 | 0.0 | 1 | 3 | 3 | 0 |
GS2000/0543 | 11 | 7 | 0.0 | 1 | 3 | 3 | 0 |
GS2000/0544 | 11 | 7 | 0.0 | 1 | 3 | 3 | 0 |
GS2000/0545 | 12 | 6 | 0.0 | 1 | 3 | 3 | 0 |
GS2000/0546 | 13 | 8 | 0.0 | 1 | 3 | 3 | 0 |
GS2000/0547 | 16 | 8 | 0.0 | 1 | 3 | 3 | 0 |
GS2000/0548 | 21 | 6 | 0.0 | 1 | 3 | 3 | 0 |
GS2000/0600 | 11 | 5 | 0.0 | 2 | 8 | 3 | 0 |
GS2000/0601 | 13 | 8 | 0.0 | 2 | 8 | 3 | 0 |
GS2000/0602 | 12 | 6 | 0.0 | 2 | 8 | 3 | 0 |
GS2000/0603 | 15 | 8 | 0.0 | 2 | 4 | 2 | 0 |
GS2000/0604 | 15 | 5 | 0.0 | 2 | 4 | 2 | 0 |
GS2000/0605 | 15 | 5 | 0.0 | 2 | 4 | 2 | 0 |
GS2000/0606 | 11 | 7 | 0.0 | 2 | 4 | 2 | 0 |
GS2000/0607 | 12 | 8 | 0.0 | 2 | 4 | 2 | 0 |
GS2000/0608 | 19 | 8 | 0.0 | 2 | 8 | 3 | 0 |
GS2000/0609 | 20 | 8 | 0.0 | 2 | 8 | 3 | 0 |
Where:
- Wdir = Wind direction, WMO Code 0877
- Wspeed = Wind speed, Knots
- Dtemp = Dry bulb temperature, Deg C
- Weather (WMO code 4561)
- Clouds (WMO code 2700)
- Sea (WMO code 3700)
- Ice (No ice)
Project Information
Monitoring the Atlantic Inflow toward the Arctic (MAIA)
Introduction
MAIA is an EU Fifth Framework Programme supporting Key Action 2 (Global Change, Climate and Biodiversity) of Theme 4: Energy, Environment and Sustainable Development. The overall objective of MAIA is to develop an inexpensive and reliable system based on coastal sea level data for monitoring the inflows of Atlantic water into the northern seas.
Scientific Rationale
The flux of Atlantic Water to the northern seas is vital for the existence of life in northern Europe. More than half of the Atlantic Water appears to enter the Norwegian Sea to the west of the Faroe Islands. A lesser, warmer amount enters along the continental margin past Scotland. There have been several attempts to estimate and monitor these fluxes and see how the ice extent in the north is correlated to them.
The special goals of MAIA are:
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to monitor the inflow of salt and heat to the northern seas for the analysis of climate variability, distinguishing between warmer (eastern) and cooler (western) inflow past the Faroes, and the major routes through the Barents Sea, with a time resolution better than a week, a spatial resolution of the major routes and an accuracy better than 15%.
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to understand the causes of errors and recommend strategies to improve the future accuracy of such a monitoring tool.
Project Components
The project was divided into 3 phases:
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Phase I
Phase I was to analyse historical observations of sea-level fluctuations during the past decade and compare them with available bottom pressure and in situ current velocity measurements in the region of interest.
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Phase II
Phase II is a dedicated validation study in the Shetland- Iceland region and in the Barents Sea to verify that the system can give the required results to the desired accuracy and resolution. The validation period was from summer 2000 to November 2001.
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Phase III
Phase III of the project includes evaluating the validations, the effects of external influences and the ice studies, and making recommendations for future monitoring.
Data Activity or Cruise Information
Cruise
Cruise Name | GS06/00 |
Departure Date | 2000-04-28 |
Arrival Date | 2000-06-02 |
Principal Scientist(s) | Jens Christian Holst (Institute of Marine Research, Norway) |
Ship | G.O. Sars |
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 |