Metadata Report for BODC Series Reference Number 1108928

• 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

Problem Reports

No Problem Report Found in the Database

DISCOVERY 2010 James Clark Ross Cruise JR20061024 (JR161) Meteorology Data Quality Report

Data Quality Report

T flags were assigned to the interpolated latitude and longitude values created with NAVINT, the corresponding cycles are: 1283 to 1289 and 31919 to 31944.

CRELZZ01 showed several periods of very stable high readings (~100%). These periods have not been flagged as the originator did not provide any comments about the data.

CDTAZZ01 showed an increase in noisy readings towards the end of the cruise, however the values were not flagged as the originator did not provide comments about this data.

CSLRR101 and IRRDSV01 were flagged N when values below the absent value were identified (-1.0 for both parameters).

M flags were also applied on two occasions:

1- To IRRDSV01 for cycles with values above the maximum specified limit (> 2500 µE m^-2 s ^-1): 23936, 25316 to 25317, 25330, 25332 to 25334, 25341 to 25342, 25347 to 25348, 46820, 46822, 46853 and 47043.

2- To negative values, below -1.0, identified on both channels

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

DISCOVERY 2010 James Clark Ross Cruise JR20061024 (JR161) Meteorology Instrumentation Report

Instrumentation

Meteorological measurements were performed with the following instruments:

Kipp and Zonen PAR Lite Photosynthetically Active Radiation sensor

An atmospheric radiometer that measures photosynthetically active radiation (PAR) by means of a Teflon diffuser, an optical interference filter and a photo-diode detector. The sensor measures the PAR received over the entire hemisphere and the diffuser's sensitivity is proportional to the cosine of the angle of incidence of the incoming radiation. The optical filter has a spectral response of 400-700 nm (PAR wavelengths) and the photodiode creates a voltage output that is proportional to the incoming radiation.

Specifications

Further details can be found in the manufacturer's specification sheet.

Kipp and Zonen SP Lite and SP Lite2 Silicon Pyranometer

An atmospheric pyranometer that measures solar radiation over the range 400-1100 nm by means of a silicon photo-diode detector mounted in a diffuser. The sensor measures the radiation received over the entire hemisphere and the diffuser's sensitivity is proportional to the cosine of the angle of incidence of the incoming radiation. The photodiode creates a voltage output that is proportional to the incoming radiation. The SP Lite2 supersedes the SP Lite and features an improved sensitivity and faster response time than its predecessor.

Specifications

Further details can be found in the manufacturer's specification sheets for the SP Lite and SP Lite2.

Rotronic Precision meteorology probes for relative humidity and temperature: MP100A and MP400A series

The MP100A and MP400A series probes comprise a platinum (Pt100) resistance thermometer (with direct or linear output signal) and a Rotronic HYGROMER-C94 humidity sensor.

Instruments from the two series function in the same manner, although the the MP100A series produces voltage output while the MP400A series produces a current output (amps). Differences between the various models in each series are restricted to operational temperature ranges, supply voltages and humidity output signals.

The following specifications are common to all MP100A and MP400A series probes:

Differences between the models are detailed below:

Further details can be found in the manufacturer's specification sheet.

DISCOVERY 2010 James Clark Ross Cruise JR20061024 (JR161) Meteorology Data Processing Report

Originator's Data Processing

The meteorological data were collected by duplicate sensors which were fully processed. Data relating to wind were not included in the originator's file due to problems found with the anemometer during the processing stage.

The originator reported several periods with gaps in the data but to keep a consistency in the final file, decided to included them.

BODC Data Processing

One file was received at BODC, containing fully processed data that were merged from the navigation, meteorology and oceanlogger systems. The data were sent with a 1 minute resolution. The start date was 24 October 2006 00:00 hours and end date 28 November 2006 23:58 hours.

The file contained 24 channels, and although all are available on request, not all were loaded onto BODC's database, as the data were uncalibrated or obtained from secondary sensors. Originator's variables and units are: time (seconds), time_jday (days), air_temperature1 (°c90), humidity1 (%), par1 (µmol m^-2 s ^-1), tir1 (W m ^-1), air_temperature2 (°c90), humidity2 (%), par2 (µmol m ^-2 s ^-1), tir2 (W m ^-1), pressure1 (hPa), pressure2 (hPa), saltemp (°c90), cond (S m ^-1), psal (pss-78), sound_vel (m s ^-1), fluor (µg l ^-1), fstemp (°c90), flow (l min ^-1), sst (°c90), sst_uncal (°c90), psal_uncal (pss-78), latitude (degrees), longitude (degrees).

Parameter codes defined in BODC's parameter dictionary were assigned to originator's variables. There was no need to apply a conversion as original units were equivalent to the ones defined in BODC codes. Data were loaded into BODC's database using established data banking procedures.

BODC's procedures included the transfer of originator's parameters into BODC codes and screening in Edserplo. N flags were applied to absent values during the transfer.

Navigation was checked using the NAVCHECK routine and speed fails were identified. The cycles were identified and flagged with the absent value flag (N). NAVINT was then used to interpolate data for these gaps and later confirmed that they were successfully applied. No other flags were applied to these channels.

The meteorological data were collected with two sets of instruments. Data from both sensors, primary and secondary, were transferred and exhibit the same quality, but only data from the primary sensors were kept in the final file. Data from the secondary channels are, however, available upon request.

IRRDSV01 and CSLRR101 were assigned N flags to values below the defined absent value (-1.0 for both parameters), M flags were also applied to obvious spikes and to data above the maximum limit (2500 W m^-2 for TIR and 2000 µE m ^-2 s ^-1 for PAR).

Calibration

The data were fully processed and calibrated by the originator, no details of the calibrations are available. BODC did not apply any calibration procedures to this data set.

Project Information

DISCOVERY 2010

DISCOVERY 2010 will investigate and describe the response of an ocean ecosystem to climate variability, climate change and commercial exploitation. The programme builds on past studies by BAS on the detailed nature of the South Georgia marine ecosystem and its links with the large-scale physical and biological behaviour of the Southern Ocean.

The aim is to identify, quantify and model key interactions and processes on scales that range from microscopic life forms to higher predators (penguins, albatrosses, seals and whales), and from the local to the circumpolar.

Objectives

Assess the links between the status of local marine food webs and variability and change in the Southern Ocean. Develop a linked set of ecosystem models applying relevant marine physics and biology over scales from the local to that of the entire Southern Ocean.

Relevance to Global Science

Ocean ecosystems play a crucial role in maintaining biodiversity, in depositing carbon into the deep ocean, and as a source of protein for humans. However, fishing and climate change are having significant and often detrimental effects. To predict the future state of ocean ecosystems we must develop computer models capable of simulating biological and physical processes on a range of scales from the local to an entire ocean. Developing such predictive models is crucial to the sustainable management of world fisheries and requires integrated analyses of the way whole ecosystems work. DISCOVERY 2010 aims to take this work forward and at the same time help manage the South Georgia and South Sandwich Islands maritime zone. We will do this through providing information on the state of the ecosystem to the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR), the international body that manages sustainable fishing in the Southern Ocean.

Delivering the Results

DISCOVERY 2010 will undertake an integrated programme of shipboard and land-based field studies of the marine food web, combined with modelling. We will pay particular attention to critical phases in the life cycles of key species, and to examining interactive effects in food webs. Interacting biological and physical processes will be modelled across a range of spatial scales to significantly improve our representation of the ocean ecosystem, upon which sustainable management and the prediction of future climate change can be based. DISCOVERY 2010 will link to BIOFLAME, ACES, and COMPLEXITY, two international programmes, and to a collaborative programme with the University of East Anglia on the role of the Southern Ocean in the global carbon cycle.

Component Projects

• DISCOVERY-OEM: Ocean Ecosystems and Management
• DISCOVERY-FOOD-WEBS: Scotia Sea FOOD-WEBS
• DISCOVERY-FLEXICON: FLEXIbility and CONstraints in life histories
• DISCOVERY-CEMI: Circumpolar Ecosystems; Modelling and Integration

Data Activity or Cruise Information

Cruise

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:

SeaDataNet Quality Control Flags

The following single character qualifying flags may be associated with one or more individual parameters with a data cycle: