Metadata Report for BODC Series Reference Number 2211486
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
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Problem Reports
No Problem Report Found in the Database
Data Access Policy
Open 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.
If the Information Provider does not provide a specific attribution statement, or if you are using Information from several Information Providers and multiple attributions are not practical in your product or application, you may consider using the following:
"Contains public sector information licensed under the Open Government Licence v1.0."
Narrative Documents
Technicon AutoAnalyzer II (AAII)
The AAII is a segmented flow analyzer used for automated colorimetric analysis. The apparatus uses 2 mm diameter glass tubing and pumps reagents at flow rates of 2 to 3 ml s-1, producing results at a typical rate of 30 to 60 samples per hour. The system comprises an autosampler, peristaltic pump, chemistry manifold a detector and a data acquisition software.
This instrument was replaced by the AA3 in 1997 which was upgraded to the AA3 HR systems in 2006.
Specifications
Frequency | 420 kHz |
Beam width | 1.8° at -3 dB |
Pulse lenght | 0.1 m |
Acoustic range precision | ± 2.5 cm |
Sampling rate | 1 Hz |
Tilt accuracy | ± 0.5° |
Tilt resolution | ± 0.01° |
Diameter of ensonified area | 0.9 m for 30 m range 3.1 m for 100 m range 6.3 m for 200 m range |
Nutrient data from the underway supply onboard RRS JCR, 1996 - 2009: Originator Data Processing
Sampling Strategy
As part of the British Antarctic Survey (BAS) ongoing long term monitoring, nutrient data were measured from the non-toxic underway supply on RRS James Clark Ross cruises around South Georgia and in the Scotia Sea between 1996 and 2009.
The ship's non-toxic seawater inlet was at 6-7 m and forward of the bows to avoid contamination. The time lag between seawater entering the ship's non-toxic inlet and reaching the chemistry laboratory was 60 s. On arrival at the chemistry laboratory, the stream of seawater passed through a tangential flow filter block (Morris et al., 1978) fitted with a filter membrane (mixed ester Whatman WME, pore size 0.45 μm).
Data Processing and Instrumentation
Temperature and conductivity measurements were taken with a SeaBird thermosalinograph as part of the underway system that sampled from the ship's non-toxic seawater supply. For this dataset, the underway temperature and conductivity measurements have not been calibrated against sample measurements but were averaged over a 60 s interval to smooth the data.
Nutrient data were analysed using a technicon colorimetric autoanalyzer.
Further information on the data collection and processing can be found in Whitehouse et al. 2023.
References
Whitehouse, M. J., Hendry, K. R., Tarling, G. A., Thorpe, S. E., and ten Hoopen, P., 2023 A database of marine macronutrient, temperature and salinity measurements made around the highly productive island of South Georgia, the Scotia Sea and the Antarctic Peninsula between 1980 and 2009, Earth Syst. Sci. Data, 15, 211-224, https://doi.org/10.5194/essd-15-211-2023.
Morris, A. W., Howland, R. J. M., and Bale, A. J., 1978 A filtration unit for use with continuous autoanalytical systems applied to highly turbid waters, Estuar. Coast. Mar. Sci., 6, 105-109, https://doi.org/10.1016/0302-3524(78)90045-2.
Nutrient data from the underway supply onboard RRS JCR, 1996 - 2009: Processing by BODC
Nutrient data from the non-toxic underway supply from 10 RRS James Clark Ross cruises (1996 - 2009) around South Georgia were supplied to BODC in a .csv file format.
During transfer to BODC internal NetCDF format the originator's variables were mapped to unique BODC parameter codes. The following table shows the parameter mapping:
Originator's Variable | Originator's Units | BODC Parameter Code | BODC Unit | Comments |
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Latitude | ° | ALATGP01 | ° | |
Longitude | ° | ALONGP01 | ° | |
in_situ_temperature | °C | TEMPPR01 | °C | Cruises JR20061024, JR20071230 and JR20090310 only. |
practical_salinity | PSALZZXX | Dimensionless | Cruises JR20061024, JR20071230 and JR20090310 only. | |
silicate_in_sea_water | µmol L-1 | SLCAAAD2 | µmol L-1 | |
nitrate_in_sea_water | mil mol m-3 | NTRZAAD2 | µmol L-1 | Equivalent units |
phosphate_in_sea_water | mil mol m-3 | PHOSAAD2 | µmol L-1 | Equivalent units. Not available for cruise JR20090310. |
ammonium_in_sea_water | mil mol m-3 | AMONAAD2 | µmol L-1 | Equivalent units. Not available for cruise JR20090310. |
nitrite_in_sea_water | mil mol m-3 | NTRIAAD2 | µmol L-1 | Equivalent units. Not available for cruises JR20061024, JR20071230 and JR20090310. |
Following transfer the data were screened using BODC in-house visualisation software. Suspect data values were assigned appropriate BODC data quality flags. Missing data values were changed to a BODC absent data value and assigned a data quality flag.
Project Information
BAS Long Term Monitoring and Survey
Introduction
The Long Term Monitoring and Survey project (LTMS) has been running since the British Antarctic Survey (BAS) was created. This project is one of the BAS core projects, with several groups of scientists collecting various types of data e.g biological, geological, atmospheric, among others.
Data collection is achievable through a wide scope of instruments and platforms, e.g. the Antarctic research stations, autonomous instrument platforms deployed on or from BAS research ships, BAS aircrafts, satellite remote sensing and others.
Scientific Objectives
This project was implemented in order to measure change and variability in the Earth system. Its long term duration allows for the monitoring of processes that could be missed in shorter term studies and experiments. The data collected is also used to check and improve the reliability of models used to stimulate and predict the behavior of the Earth system.
The main objectives are:
- Topographic survey
- Geosciences survey
- Biological survey and monitoring
- Atmospheric and oceanographic monitoring
Data Availability
The data sets obtained through this project are available to the academic community.
Data Activity or Cruise Information
Cruise
Cruise Name | JR20001217 (JR57) |
Departure Date | 2000-12-17 |
Arrival Date | 2001-01-12 |
Principal Scientist(s) | Peter Ward (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 |