Metadata Report for BODC Series Reference Number 1971881
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
RRS Discovery cruise DY034 sea surface hydrography quality control report
Sea surface temperature, salinity and conductivity
The following periods of bad data were converted to absent data:
- Between 06 August 2015 13:36:30 UTC and 06 August 2015 14:45:29 UTC when the underway flow rate was adjusted.
- Between 28 August 2015 13:23:47 UTC and 28 August 2015 13:25:41 UTC.
- Between 28 August 2015 13:48:58 UTC and 28 August 2015 13:56:41 UTC.
(Data originator assessment)
All data
All sea surface hydrography channels were flagged appropriately at the beginning of the cruise until the 06/08/2015 14:45, when the flow rate was reported to be too low. (BODC assessment). This was in addition to the flagging applied by the data originators.
Thermosalinograph
Regular spikes were observed in the housing temperature and conductivity. The spikes were flagged appropriately. (BODC assessment).
Fluorescence sensor and transmissometer
The data originator reported that the fluorescence sensor was suspect between the 21st and 29th of August. Assessment at BODC observed that both the transmissometer and fluorescence sensor were suspect between the 16th and 29th of August, when the sensors were cleaned. This was presumably due to trapped material or bubbles in the fluorometer which propagated through to the transmissometer. Data were flagged suspect between 16/08/2015 22:18:00 to 29/08/2015 13:58:00.
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
SeaBird Digital Oceanographic Thermometer SBE38
The SBE38 is an ultra-stable thermistor that can be integrated as a remote temperature sensor with an SBE21 Thermosalinograph or an SBE 45 Micro TSG, or as a secondary temperature sensor with an SBE 16 plus, 16plus-IM, 16plus V2, 16plus-IM V2 or 19plus V2 SEACAT CTD.
Temperature is determined by applying an AC excitation to reference resistances and an ultra-stable aged thermistor. The reference resistor is a hermetically sealed VISHAY. AC excitation and ratiometric comparison using a common processing channel removes measurement errors due to parasitic thermocouples, offset voltages, leakage currents and gain errors.
The SBE38 can operate in polled sampling, where it takes one sample and transmits the data, or in continuous sampling.
Specifications
Depth rating | up to 10500 m |
Temperature range | -5 to 35°C |
Initial accuracy | ± 0.001°C |
Resolution | 0.00025°C |
Stability | 0.001°C in 6 months |
Response time | 500 ms |
Self-heating error | < 200 µK |
Further details can be found in the manufacturer's specification sheet.
WET Labs WETStar Fluorometers
WET Labs WETStar fluorometers are miniature flow-through fluorometers, designed to measure relative concentrations of chlorophyll, CDOM, uranine, rhodamineWT dye, or phycoerythrin pigment in a sample of water. The sample is pumped through a quartz tube, and excited by a light source tuned to the fluorescence characteristics of the object substance. A photodiode detector measures the portion of the excitation energy that is emitted as fluorescence.
Specifications
By model:
Chlorophyll WETStar | CDOM WETStar | Uranine WETStar | Rhodamine WETStar | Phycoerythrin WETStar | |
---|---|---|---|---|---|
Excitation wavelength | 460 nm | 370 nm | 485 nm | 470 nm | 525 nm |
Emission wavelength | 695 nm | 460 nm | 530 nm | 590 nm | 575 nm |
Sensitivity | 0.03 µg l-1 | 0.100 ppb QSD | 1 µg l-1 | - | - |
Range | 0.03-75 µg l-1 | 0-100 ppb; 0-250 ppb | 0-4000 µg l-1 | - | - |
All models:
Temperature range | 0-30°C |
---|---|
Depth rating | 600 m |
Response time | 0.17 s analogue; 0.125 s digital |
Output | 0-5 VDC analogue; 0-4095 counts digital |
Further details can be found in the manufacturer's specification sheet, and in the instrument manual.
WETLabs C-Star transmissometer
This instrument is designed to measure beam transmittance by submersion or with an optional flow tube for pumped applications. It can be used in profiles, moorings or as part of an underway system.
Two models are available, a 25 cm pathlength, which can be built in aluminum or co-polymer, and a 10 cm pathlength with a plastic housing. Both have an analog output, but a digital model is also available.
This instrument has been updated to provide a high resolution RS232 data output, while maintaining the same design and characteristics.
Specifications
Pathlength | 10 or 25 cm |
Wavelength | 370, 470, 530 or 660 nm |
Bandwidth | ~ 20 nm for wavelengths of 470, 530 and 660 nm ~ 10 to 12 nm for a wavelength of 370 nm |
Temperature error | 0.02 % full scale °C-1 |
Temperature range | 0 to 30°C |
Rated depth | 600 m (plastic housing) 6000 m (aluminum housing) |
Further details are available in the manufacturer's specification sheet or user guide.
RRS Discovery cruise DY034 sea surface hydrography instrumentation
The sea surface hydrographical suite of sensors was fed by the pumped-seawater, non-toxic supply. The seawater intake was located approximately 6 m below the sea surface. The SBE 38 sea surface temperature sensor was located towards the hull near the seawater intake. All other sensors were located in the clean seawater laboratory on the main deck, directly above the intake pipe.
Manufacturer | Model | Serial number | Last manufacturer's calibration date | Comments |
WETLabs | WETStar | WS3S-248 | 14/04/2014 | |
WETLabs | CSTAR | CST-112R | 26/06/2014 | |
Sea-Bird | SBE45 | 4548881-0230 | 23/09/2014 | Calibration applied by sensor firmware |
Sea-Bird | SBE38 | 3854115-0491 | 25/06/2015 | Calibration applied by sensor firmware |
SeaBird MicroTSG Thermosalinograph SBE 45
The SBE45 MicroTSG is an externally powered instrument designed for shipboard measurement of temperature and conductivity of pumped near-surface water samples. The instrument can also compute salinity and sound velocity internally.
The MicroTSG comprises a platinum-electrode glass conductivity cell and a stable, pressure-protected thermistor temperature sensor. It also contains an RS-232 port for appending the output of a remote temperature sensor, allowing for direct measurement of sea surface temperature.
The instrument can operate in Polled, Autonomous and Serial Line Sync sampling modes:
- Polled sampling: the instrument takes one sample on command
- Autonomous sampling: the instrument samples at preprogrammed intervals and does not enter quiescence (sleep) state between samples
- Serial Line Sync: a pulse on the serial line causes the instrument to wake up, sample and re-enter quiescent state automatically
Specifications
Conductivity | Temperature | Salinity | |
---|---|---|---|
Range | 0 to 7 Sm-1 | -5 to 35°C | |
Initial accuracy | 0.0003 Sm-1 | 0.002°C | 0.005 (typical) |
Resolution | 0.00001 Sm-1 | 0.0001°C | 0.0002 (typical) |
Typical stability (per month) | 0.0003 Sm-1 | 0.0002°C | 0.003 (typical) |
Further details can be found in the manufacturer's specification sheet.
RRS Discovery cruise DY034 sea surface hydrography data processing procedures
Originator's Data Processing
Output from the surfmet sensors were initially logged by a designated PC. Some of the sensor's firmware, connection modules and PC software manipulated the output. All the sensors used (including the surfmet sensors) were then registered by the TECHSAS logging system and broadcast to NetCDF, pseudo-TECHSAS ascii and UKORS format in the raw_data area of the level-C logging system. Data used here was extracted from the daily TECHSAS ascii files.
Sea surface temperature, housing temperature, conductivity and salinity
Sea surface temperature (tempr, from the SBE38 at the water inlet) and the water temperature (temph) and salinity (salin) from the SBE45 housing were duplicated in both thesbe45 and surfmet streams, however, the sbe45 stream was considered the best source for this data as it is unlikely to be delayed in time. Therefore, daily pseudo-TECHSAS ascii files were copied to the local PC where they were reformatted, appended and cleaned using the following matlab scripts:
- uw_tsg - reformatted daily 1 Hz TSG files (#SBE45_DY1.SBE45) to ascii (DY034_TSG_#_raw.txt).
- uw_append - appended daily 1 Hz ascii files to a master ascii file (DY034_TSG_master_raw.txt)
- uw_tsgclean - applied moving average filters to the TSG data (temph, tempr, con and salin). Output: DY034_TSG_master_filt.txt
All channels (temph, tempr, con and salin) were filtered of noise once by applying a moving average window of 60 seconds and removing all data outside 2 standard deviations of that average.
Fluorometer and transmissometer
The TECHSAS ascii files were copied to the local PC where they were reformatted, calibrated , appended and cleaned as follows:
- uw_opt_fl - reformatted daily 1 Hz SURFM files (#SM_DY1.SURFM) to ascii (DY034_OPTF_#_raw.txt)
- uw_opt_tr -reformatted daily 1 Hz SURFM files (#SM_DY1.SURFM) to ascii (DY034_OPTT_#_raw.txt)
- uw_optcal_fl - applied manufacturers calibrations to obtain chlorophyll-a (DY034_OPTF_#_raw_mcal.txt)
- uw_optcal_tr - applied manufacturers calibrations to obtain beam transmission and attenuation (DY034_OPTT_#_raw_mcal.txt)
- uw_append - appended daily 1 Hz ascii files to a master ascii file (DY034_OPTF_master_raw.txt and DY034_OPTT_master_raw.txt)
- uw_optclean_fl / uw_optclean_tr - Removed suspect data. Applied moving average filters to chlorophyll-a, beam transmission and attenuation (DY034_OPTF_master_filt.txt and DY034_OPTT_master_filt.txt )
Chlorophyll-a, beam transmission and attenuation were filtered of noise once by applying a moving average window of 120 seconds and removing all data outside 1.5 standard deviations of that average.
The fluorescence voltage channel (fluo) was converted to chla using the following calibration:
Chl a [µg/L] = SF (fluo-CWO) |
where SF = 5.5 µg/L/V and CWO = 0.068 V.
The transmissometer voltage channel (trans) was converted to beam transmission (beamtrans) and beam attenuation (atten) as follows:
trans [V] = trans > or = Vdark | ||||||||||||||||||||||||||||||||||||||||
beamtrans [%] = ([trans-Vdark] / [Vref-Vdark]) 100 | ||||||||||||||||||||||||||||||||||||||||
atten [per m] = (-1 / pathlength) ln(beamtrans / 100) |
where Vdark = 0.058 V, Vref = 4.623 V and pathlength = 0.25 m.
Files delivered to BODC
Filename | Content description | Format | Interval | Start date/time (UTC) | End date/time (UTC) |
DY034_TSG_master_filt.txt | Clean SST, housing temperature, conductivity and salinity | ascii | 1 Hz | 03/08/2015 09:53:37 | 01/09/2015 18:10:13 |
DY034_OPTF_master_filt.txt | Clean fluorescence and chlorophyll | ascii | 1 Hz | 03/08/2015 09:53:37 | 01/09/2015 18:10:13 |
DY034_OPTT_master_filt.txt | Clean transmittance and beam attenuation | ascii | 1 Hz | 03/08/2015 09:53:37 | 01/09/2015 18:10:13 |
BODC Data Processing
The files were reformatted to NetCDF using BODC standard data banking procedures. The following table shows how variables within the file were mapped to appropriate BODC parameter codes:
DY034_TSG_master_filt.txt
Originator's variable | Originator's units | Description | BODC Code | BODC Units | Unit conversion | Comments |
temp_h | degrees C | TSG housing temperature | TMESSG01 | degrees C | - | - |
cond | S/m | Conductivity | CNDCSG01 | S/m | - | - |
salin | PSU | Practical salinity | PSALSU01 | dimensionless | - | Calculated in real time by UNESCO 1983 algorithm |
temp_r | degrees C | Sea surface temperature | TEMPHU01 | degrees C | - | - |
DY034_OPTF_master_filt.txt
Originator's variable | Originator's units | Description | BODC Code | BODC Units | Unit conversion |
fluo | volts | Instrument output from fluorometer | FVLTWS01 | volts | - |
chla | µg L-1 | Manufacturer's calibration applied | CPHLUMTF | mg m-1 | - |
DY034_OPTT_master_filt.txt
Originator's variable | Originator's units | Description | BODC Code | BODC Units | Unit conversion | Comments |
trans | volts | Instrument output from transmissometer | TVLTDR01 | volts | - | - |
beamtrans | % | Transmittance | POPTDR01 | % | - | Manufacturer's calibration applied |
atten | m-1 | Attenuation | ATTNDR01 | m-1 | - | Converted from beam transmittance |
All 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.
Calibration
Sea surface temperature (SST)
SST was calibrated against the primary temperature sensor on CTD casts deployed during the cruise. CTD temperature (interpolated to 6 m depth) and corresponding SST data values were extracted using standard BODC procedures (n = 38). The temperature offsets (CTD-UW) were subsequently derived and examined. Three outliers were removed because they were more than twice the standard deviation around the mean. A further 13 sample points were removed due to high vertical variability in the CTD profile. No significant trend was found between the temperature offset and time (R2 adj = -0.040, P = 0.584, n = 19). No significant trend was found between the temperature offset and CTD temperature (R2 adj = 0.002,P = 0.852, n = 19). However, a significant offset was observed. Therefore, underway SST was calibrated with a mean offset as follows:
UW[new] (deg C) = UW[old] (deg C) - 0.078 (±0.025 S.D., P <0.05, n = 19) | ||||||||||||||||||||||||||||||||||||||||
Salinity
Salinity was calibrated against independent bottles samples collected during the cruise from the non-toxic, pumped seawater supply located next to the TSG. Bottle salinities and corresponding underway data values were extracted using standard BODC procedures (n = 41). The salinity offsets (BOTsal - UW) were subsequently derived and examined. One outlier was removed because it was more than twice the standard deviation around the mean. A significant but weak trend was found between the salinity offset and bottle salinity data value (R2 = 0.1430,P< 0.05, n = 40). A significant and strong trend was found between the salinity offset and time (R2 = 0.8182,n = 40, P < 0.01). The calibrations were applied to the underway data and visually examined. After visual examination and given the weak trend with data value, it was decided to only correct underway salinity for drift with time. Therefore, underway salinity was calibrated with a linear regression as follows:
UW[new] (PSU) = (-0.2360 + [0.0012 * decimal day]) + UW [old] (PSU) (R2 = 0.8182, n = 40, P < 0.01) | ||||||||||||||||||||||||||||||||||||||||
Project Information
Shelf Sea Biogeochemistry (SSB) Programme
Shelf Sea Biogeochemistry (SSB) is a £10.5 million, six-year (2011-2017) research programme, jointly funded by the Natural Environment Research Council (NERC) and the Department for Environment, Food and Rural Affairs (DEFRA). The aim of the research is to reduce the uncertainty in our understanding of nutrient and carbon cycling within the shelf seas, and of their role in global biogeochemical cycles. SSB will also provide effective policy advice and make a significant contribution to the Living with Environmental Change programme.
Background
The Shelf Sea Biogeochemistry research programme directly relates to the delivery of the NERC Earth system science theme and aims to provide evidence that supports a number of marine policy areas and statutory requirements, such as the Marine Strategy Framework Directive and Marine and Climate Acts.
The shelf seas are highly productive compared to the open ocean, a productivity that underpins more than 90 per cent of global fisheries. Their importance to society extends beyond food production to include issues of biodiversity, carbon cycling and storage, waste disposal, nutrient cycling, recreation and renewable energy resources.
The shelf seas have been estimated to be the most valuable biome on Earth, but they are under considerable stress, as a result of anthropogenic nutrient loading, overfishing, habitat disturbance, climate change and other impacts.
However, even within the relatively well-studied European shelf seas, fundamental biogeochemical processes are poorly understood. For example: the role of shelf seas in carbon storage; in the global cycles of key nutrients (nitrogen, phosphorus, silicon and iron); and in determining primary and secondary production, and thereby underpinning the future delivery of many other ecosystem services.
Improved knowledge of such factors is not only required by marine policymakers; it also has the potential to increase the quality and cost-effectiveness of management decisions at the local, national and international levels under conditions of climate change.
The Shelf Sea Biogeochemistry research programme will take a holistic approach to the cycling of nutrients and carbon and the controls on primary and secondary production in UK and European shelf seas, to increase understanding of these processes and their role in wider biogeochemical cycles. It will thereby significantly improve predictive marine biogeochemical and ecosystem models over a range of scales.
The scope of the programme includes exchanges with the open ocean (transport on and off the shelf to a depth of around 500m), together with cycling, storage and release processes on the shelf slope, and air-sea exchange of greenhouse gases (carbon dioxide and nitrous oxide).
Further details are available on the SSB website.
Participants
15 different organisations are directly involved in research for SSB. These institutions are
- Centre for Environment, Fisheries and Aquaculture Science (Cefas)
- Meteorological Office
- National Oceanography Centre (NOC)
- Plymouth Marine Laboratory (PML)
- Scottish Association for Marine Science (SAMS) / Scottish Marine Institute (SMI)
- University of Aberdeen
- University of Bangor
- University of East Anglia (UEA)
- University of Edinburgh
- University of Essex
- University of Liverpool
- University of Oxford
- Plymouth University
- University of Portsmouth
- University of Southampton
In addition, there are third party institutions carrying out sampling work for SSB, but who are not involved in the programme itself. These are:
- The Agri-Food and Biosciences Institute (AFBI)
- Irish Marine Institute (MI)
- Marine Science Scotland (MSS)
Research details
Overall, five Work Packages have been funded by the SSB programme. These are described in brief below:
-
Work Package 1: Carbon and Nutrient Dynamics and Fluxes over Shelf Systems (CaNDyFloSS).
This work package aims to perform a comprehensive study of the cycling of nutrients and carbon throughout the water column over the whole north-west European shelf. This will allow the fluxes of nutrients and carbon between the shelf and the deep ocean and atmosphere to be quantified, establishing the role of the north-west European continental shelf in the global carbon cycle. -
Work Package 2: Biogeochemistry, macronutrient and carbon cycling in the benthic layer.
This work package aims are to map the sensitivity and status of seabed habitats, based on physical conditions, ecological community structure and the size and dynamics of the nitrogen and carbon pools found there. This information will be used, in conjunction with some laboratory-based work, to generate an understanding of the potential impacts on the benthic community as a result of changing environmental conditions, such as rising CO2 levels. -
Work Package 3: The supply of iron from shelf sediments to the ocean.
The research for this work package addresses the question of how currents, tides, weather and marine chemistry allow new iron to be transported away from the shallow shelf waters around the United Kingdom (UK), to the nearby open ocean. This will ultimately allow an improved understanding of how the transport of iron in shelf waters and shelf sediments influences phytoplankton growth in open oceans. This in turn improves the understanding of carbon dioxide uptake by phytoplankton. -
Work Package 4: Integrative modelling for Shelf Seas Biogeochemistry.
The aim of this work package is the development of a new shelf seas biogeochemical model system, coupled to a state of the art physical model, that is capable of predicting regional impacts of environmental change of timescales from days to decades. It is envisaged that the combination of predictive tools and new knowledge developed in this work package will underpin development and implementation of marine policy and marine forecasting systems. - Work Package 5: Data synthesis and management of marine and coastal carbon (DSMMAC).
This work package is funded by Defra and is also known by the name 'Blue Carbon'. The aim is to provide a process-based, quantitative assessment of the role of UK coastal waters and shelf seas in carbon storage and release, using existing data and understanding, and also emerging results from SSB fieldwork, experiments and modelling. Particular emphasis will be given to processes that may be influenced by human activities, and hence the opportunity for management interventions to enhance carbon sequestration.
Fieldwork and data collection
The campaign consists of the core cruises in the table below, to the marine shelf (and shelf-edge) of the Celtic Sea on board the NERC research vessels RRS Discovery and RRS James Cook. These cruises will focus on the physics and biogeochemistry of the benthic and pelagic zones of the water column, primarily around four main sampling sites in this area.
Cruise identifier | Research ship | Cruise dates | Work packages |
---|---|---|---|
DY008 | RRS Discovery | March 2014 | WP 2 and WP 3 |
JC105 | RRS James Cook | June 2014 | WP 1, WP 2 and WP 3 |
DY026 | RRS Discovery | August 2014 | WP1, WP 2 and WP 3 |
DY018 | RRS Discovery | November - December 2014 | WP 1 and WP 3 |
DY021 (also known as DY008b) | RRS Discovery | March 2015 | WP 2 and WP 3 |
DY029 | RRS Discovery | April 2015 | WP 1 and WP 3 |
DY030 | RRS Discovery | May 2015 | WP 2 and WP 3 |
DY033 | RRS Discovery | July 2015 | WP 1 and WP 3 |
DY034 | RRS Discovery | August 2015 | WP 2 and WP 3 |
Core cruises will be supplemented by partner cruises led by Cefas, MI, MSS, Bangor University and AFBI, spanning the shelf seas and shelf-edges around United Kingdom and Republic of Ireland.
Activities will include coring, Conductivity Temperature and Depth (CTD) deployments, Acoustic Doppler Current Profilers (ADCP) surveys, moorings and wire-walker deployments, benthic lander observatories, autonomous gliders and submersible surveys, Marine Snow Catcher particulate matter analysis, plankton net hauls, in-situ sediment flume investigations and laboratory incubations with core and sea water samples.
Shelf Sea Biogeochemistry (SSB) Programme Work Package 1: CaNDyFloSS
Carbon and Nutrient Dynamics and Fluxes over Shelf Systems (CaNDyFloSS) is a £2.76 million component of the Natural Environment Research Council (NERC) Shelf Sea Biogeochemistry (SSB) research programme, running from 2013 to 2017. It is jointly funded by NERC and the Department for Environment, Food and Rural Affairs (DEFRA). The aim of the research is to perform a comprehensive study of the cycling of nutrients and carbon throughout the water column over the whole north-west European shelf. This will allow the fluxes of nutrients and carbon between the shelf and the deep ocean and atmosphere to be quantified, establishing the role of the north-west European continental shelf in the global carbon cycle.
Background
Shelf seas are the primary regions of human marine resource exploitation, including both renewable and fossil fuel energy sources, recreation, trade and food production. They provide 90% of global fish catches which form an important source of food to much of the global population. They also play an important role in the ecosystem services provided by the oceans as a whole, in particular in storing carbon away from the atmosphere.
Physical and biochemical processes in shelf seas influence the removal of CO2 from the atmosphere and the subsequent storage of carbon in the deep ocean. Biological growth draws carbon out of the water, which is then replaced by carbon in CO2 from the atmosphere. In the shelf seas this growth is supported by terrestrial and open ocean sources of nutrients, implying intimate roles for both the terrestrial biosphere and the open ocean environment in regulating shelf sea climate services. The oceans can also be a major source or sink for other greenhouse gases, including nitrous oxide (N2O), with the shallow shelf sea thought to play a key role.
The spatial extent of the submerged continental shelves varies greatly. The NW European shelf sea is one of the largest and hence is likely to play a significant role in marine biogeochemical cycling, alongside providing a useful model for other systems. However, even in this relatively well studied region, there is a lack of detailed understanding of the principal controls on the cycling of carbon and the major nutrient elements, nitrogen, phosphorus and silicon. Consequently it is also difficult to predict how the cycling of these elements and hence the carbon removal they support may be altered by ongoing and potential future global change. This work package aims to address these uncertainties through a comprehensive study of the cycling of the major nutrients and carbon throughout the water column over the NW European shelf sea system.
Further details are available on the SSB website.
Participants
9 different organisations are directly involved in research for SSB Work Package 1. These institutions are
- Centre for Environment, Fisheries and Aquaculture Science (Cefas)
- National Oceanography Centre (NOC)
- Plymouth Marine Laboratory (PML)
- Scottish Association for Marine Science (SAMS) / Scottish Marine Institute (SMI)
- University of Aberdeen
- University of Bangor
- University of East Anglia (UEA)
- University of Liverpool
- University of Southampton
In addition, there are third party institutions carrying out sampling work for SSB Work Package 1, but who are not involved in the programme itself. These are:
- The Agri-Food and Biosciences Institute (AFBI)
- Irish Marine Institute (MI)
- Marine Science Scotland (MSS)
Objectives
Two overarching objectives are defined for this Work Package.
-
Objective 1: Estimate the size of the continental shelf carbon pump over the whole north-west European shelf.
This will consist of two principal activities. (1) Over a 12 month period, observations of air-sea CO2 fluxes will be made to provide a synoptic estimate of the magnitude of carbon update by the whole shelf system. (2) Concentrations of carbon (C), nitrogen (N), phosphate (P) and silicate (Si) will be estimated in water flowing on and off the shelf. These estimates will be coupled to estimates of flow and dispersion along the shelf edge, through collaboration with the NERC Fluxes across Sloping Topography of the North East Atlantic (FASTNEt) programme to allow an observational estimate of the net off-shelf transport of C, N, P and Si. -
Objective 2: Determine the relative importance of external nutrient sources and internal biogeochemical cycling in maintaining the continental shelf pump.
Estimates of the flux of nutrients and carbon generated in Objective 1 will be used to determine the estimation of any excess of on-shelf nutrient supply, relative to that of carbon. Work Package 1 will then quantify the processes which govern internal biogeochemical cycling by measuring the uptake ratios of N, P, Si and C into phytoplankton and the element and energy balance of organic matter production by autotrophs. Potential modifications to the relative concentrations and uptake of C, N, P and Si in the thermocline and sediment food webs will also be assessed, as will the relative importance of microbial and zooplankton turnover in controlling C, N, P and Si.
Fieldwork and data collection
Data for Objective 1 will be provided using pCO2 systems aboard third party vessels and ferry boxes, along with measurements made through the FASTNEt programme and through the Work Package 1 process cruises detailed below. The third party cruises will be undertaken by Cefas, MI, MSS, University of Bangor and AFBI, spanning the shelf seas and shelf-edges around the United Kingdom and the Republic of Ireland.
The Work Package 1 process cruises will provide data for Objective 1 and Objective 2 and are listed in the table below. The study area is the marine shelf (and shelf-edge) of the Celtic Sea. Work will be carried out on board the NERC research vessels RRS Discovery and RRS James Cook. These cruises will focus on the physics and biogeochemistry of the benthic and pelagic zones of the water column, primarily around four main sampling sites in this area.
Cruise identifier | Research ship | Cruise dates | Work packages |
---|---|---|---|
JC105 | RRS James Cook | June 2014 | WP 1, WP 2 and WP 3 |
DY026 | RRS Discovery | August 2014 | WP1, WP 2 and WP 3 |
DY018 | RRS Discovery | November - December 2014 | WP 1 and WP 3 |
DY029 | RRS Discovery | April 2015 | WP 1 and WP 3 |
DY033 | RRS Discovery | July 2015 | WP 1 and WP 3 |
Activities will include Conductivity Temperature and Depth (CTD) deployments, Acoustic Doppler Current Profilers (ADCP) surveys, moorings and wire-walker deployments, autonomous gliders and submersible surveys, Marine Snow Catcher particulate matter analysis, plankton net hauls and laboratory incubations with sea water samples.
Data Activity or Cruise Information
Cruise
Cruise Name | DY034 |
Departure Date | 2015-08-06 |
Arrival Date | 2015-09-02 |
Principal Scientist(s) | Henry Ruhl (National Oceanography Centre, Southampton) |
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 |
B | nominal value |
Q | value below limit of quantification |