Metadata Report for BODC Series Reference Number 1905024

• 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 RRS James Clark Ross Cruise JR20090310 (JR200, JR200A, JR208) Underway Meteorology Data Quality Document

Air Temperature, Humidity and Pressure

No flags were applied to CRELZZ01 but a few periods with fairly constant values were identified:

• 13/03/2009 16:05:28 hours to 14/03/2009 14:25:28 hours
• 14/03/2009 16:21:28 hours to 15/03/2009 00:15:28 hours
• 17/03/2009 01:26:28 hours to 17/03/2009 10:08:28 hours
• 18/03/2009 06:25:28 hours to 19/03/2009 11:54:28 hours
• 21/03/2009 08:50:28 hours to 21/03/2009 15:12:28 hours
• 21/03/2009 18:57:28 hours to 24/03/2009 07:06:28 hours

No flags were applied to these periods as the data were not considered anomalous.

During screening it was also confirmed that the secondary temperature and humidity sensors were not recording data.

Light sensors

N flags were applied to -99999.00 values and to values outside the absolute value (-1.0) for IRRDSV01. M flags were applied to negative values in IRRDSV01, CSLRR101 and CSLRR102.

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

Gill Instruments Windsonic Anemometer

The Gill Windsonic is a 2-axis ultrasonic wind sensor that monitors wind speed and direction using four transducers. The time taken for an ultrasonic pulse to travel from the North to the South transducers is measured and compared with the time for a pulse to travel from South to North. Travel times between the East and West transducers are similarly compared. The wind speed and direction are calculated from the differences in the times of flight along each axis. This calculation is independent of environmental factors such as temperature.

Specifications

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

Kipp & Zonen Photosynthetically Active Radiation Quantum Sensor PQS1

The PQS1 is an atmospheric radiometer designed to measure incident radiation at photosynthetically active radiation (PAR) wavelengths. It incorporates a diffuser with an excellent directional (cosine) response and a silicon photodiode detector.

If used in field research applications, the PQS1 can be connected with the METEON handheld display unit, which also as data-logging capability. For permanent installations, it can be connected to the LOGBOX SD data logger.

Specifications

A link to the PQS1 specification sheet can be found here: PQS1 Spec sheet

Kipp and Zonen Pyranometer Model CM6B

The CM6B pyranometer is intended for routine global solar radiation measurement research on a level surface. The CM6B features a sixty-four thermocouple junction (series connected) sensing element. The sensing element is coated with a highly stable carbon based non-organic coating, which delivers excellent spectral absorption and long term stability characteristics. The sensing element is housed under two concentric fitting Schott K5 glass domes.

Specifications

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.

Vaisala PTB210 Digital Barometer

The basic specifications for this pressure sensor are as follows:

• Manufacturer: Vaisala
• Type: Silicon capacitive sensor
• Model: PTB210
• Range: 900 - 1100 hPa
• Output: 0-5VDC
• Total Accuracy (20°C): ±0.30hPa
• Operating temperature: -40 to +60 deg C
• Weight: 110g
• Certification Ingress Protection: IP65

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

Ashtech GG24 receiver

The GG24 is an all-in-view Global Positioning System (GPS) and Global Navigation Satellite System (GLONASS) receiver that blends GPS and GLONASS into a single position solution. This receiver uses all available satellites from both systems to obtain the best position information.

The three-dimensional position and velocity are calculated when tracking any combination of five satellites. Up to five independent measurements are determined every second, with no interpolation or extrapolation from previous solutions.

Specifications

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

Ashtech Global Positioning System receivers (ADU series)

The ADU series of Global Positioning System (GPS) receivers are designed to give real-time three-dimensional position and attitude measurements. Attitude determination is based on differential carrier phase measurements between four antennas connected to a receiver, providing heading, pitch and roll, along with three-dimensional position and velocity.

The ADU2 model receives information from 48 channels, while the upgraded model (ADU5) uses 56 channels. The ADU5 also features a unique Kalman filter with user selectable dynamic modes to match operating conditions. It also incorporates signals from Satellite Based Augmentation Systems (SBAS) and features an embedded 2-channel 300 kHz beacon receiver for easy differential GPS (DGPS) operations.

Specifications

Further details can be found in the manufacturer's specification sheets for the ADU2 andADU5.

Kongsberg Seatex Seapath 200 GPS and Gyrocompass

The Seapath 200 is a highly accurate, real-time heading, attitude and position information system that integrates the best signal characteristics of Inertial Measurement Units (IMU) and Global Positioning System (GPS), using a differential GPS method to acquire this data.

The high-rate motion data is obtained from the Seatex MRU5 inertial sensor and two fixed baseline GPS carrier-phase receivers. The raw data is integrated in a Kalman filter in the Seapath Processing Unit. The IMU contains an accurate linear accelerometer and Bosch Coriolis force angular rate gyros (CFG).

This system is equipped to utilise up to six different DGPS reference stations, it checks for consistency within measurements from the different sensors to ensure reliability and rejects noisy data or reports its inaccuracy. The data is available through various output protocols, RS-232, RS-422 and Ethernet.

This instrument is no longer in production; the main characteristics are presented below, and the specification sheet can be accessed here Kongsberg Seatex Seapath 200 .

Specifications

DISCOVERY 2010 RRS James Clark Ross Cruise JR20090310 (JR200, JR200A, JR208) Underway Meteorology Instrumentation Document

The meteorological suite of sensors were located on the ship's meteorological mast, with all instruments located 20m above sea level, except the anemometer, which is at 22.5m above sea level and has an orientation of 0° on the bow.

DISCOVERY 2010 RRS James Clark Ross Cruise JR20090310 (JR200, JR200A, JR208) Underway Meteorology Processing Procedures Document

Originator's Data Processing

The data used for this data set exhibit different processing statuses. Fully processed data were received at BODC, in separate files, one was merged from the navigation and oceanlogger systems, anemometer data were sent in individual files.

The merged data had a 1 minute resolution and the anemometer data a 1 second resolution. All files shared the start and end dates, the start date was 10 March 2009 00:00 hours and end date 17 April 2009 23:59 hours. The originator's merged file contained 14 channels, their variables and units are: time (seconds), time_jday (days), sst (°c90), psal (pss-78), fluor (µg l^-1), par (µmol m^-2 s^-1), latitude (degrees), longitude (degrees), conductivity (S m^-1), salintemp (degc90), fluortemp (degc90), flowrate (l min^-1), sim500_depth (m). The anemometer files exhibit the following structure: time (seconds), jday (days), wind_heading (degrees) and wind_speed (knots).

The meteorological parameters, with exception of PAR wind speed and direction, were loaded from the unprocessed file containing the following columns: sampletime (YYYY DDD HH:MM:SS), airtemp1 (celsius), humidity1 (%RH), par1 (umol S^-1-2), tir1 (W m^-2), airtemp2 (celcius), humidity2 (%RH), par2 (µmol S^-1-2), tir2 (W m^-2), baro1 (hPa), baro2 (hPa), tstemp (celsius), conductivity (S m^-1, salinity (psu), sound_velocity (m s^-1), chlorophyll (µg l^-1), sampletemp (celsius), flowrate (l min^-1) and sstemp (celsius). The interval between successive measurements was of 5 seconds.

This document describes the procedures applied to the meteorological data.

File delivered to BODC

* Only data for the cruise period were used.

BODC Data Processing

The files mentioned above were selected for data banking as they contain the best version of processed meteorological parameters. The remaining data was obtained from the raw file. Data were banked at BODC following standard data banking procedures, including reduction through averaging, checking meteorological channels for improbable values, working out absolute wind speed and direction, and screening the data for anomalous values.

Parameter codes defined in BODCs' parameter dictionary were assigned to originator's variables. A unit conversion was applied to wind speed as originator's units were in knots and had to be converted to m s^-1. The data were loaded into BODC's database using established data banking procedures.

The originator's variables were mapped to appropriate BODC parameter codes as follows:

JR200_alldataCal_1min

anemometer070 to 180

oceanlogger

All data expressed at measurement altitude.

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.

Absolute wind speed and direction

M flags were applied to true wind speed when spikes were detected and to cycles that were 0 m s^-1 as they are not realistic. M flags were applied to true wind direction when heading changed and an adjustment was evident in the data, and sudden changes that are not realistic.

Relative wind speed and direction were corrected for the ship's heading and speed using the gyrocompass heading, ship velocities (calculated at BODC from the main positional channels) and an anemometer orientation of 0° on the bow.

PAR and TIR

N flags were applied to -99999.00 values and to values outside the absolute value (-1.0) for IRRDSV01. M flags were applied to negative values in IRRDSV01, CSLRR101 and CSLRR102 as these are most likely due to the sensor's own radiation during the night periods.

Air Pressure

M flags were applied where sudden drops in values (~90 dbar) were present as they are not realistic.

Air Temperature and Relative Humidity

All channels were screened and it was clear that the secondary sensors experienced difficulties during the cruise. The final file contains data for CRELZZ01 and CDTAZZ01 only.

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: