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Metadata Report for BODC Series Reference Number 1981549


Metadata Summary

Data Description

Data Category Meteorology -unspecified
Instrument Type
NameCategories
Vaisala PTB 210 digital barometer  meteorological packages
Rotronic Hygromet MP402H temperature and humidity probe  meteorological packages
Kipp and Zonen SP LITE2 pyranometer  radiometers
Kipp and Zonen PQS1 PAR Quantum Sensor  radiometers
Gill Windobserver 70 (ultrasonic) anemometer  anemometers
Instrument Mounting research vessel
Originating Country United Kingdom
Originator Mr Aidan Hunter
Originating Organization University of Strathclyde, Department of Mathematics and Statistics
Processing Status banked
Online delivery of data Download available - Ocean Data View (ODV) format
Project(s) Changing Arctic Ocean
Changing Arctic Ocean ARISE
 

Data Identifiers

Originator's Identifier JR17005_PROD_MET
BODC Series Reference 1981549
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2018-05-13 00:00
End Time (yyyy-mm-dd hh:mm) 2018-06-07 06:43
Nominal Cycle Interval 60.0 seconds
 

Spatial Co-ordinates

Southernmost Latitude 66.86200 N ( 66° 51.7' N )
Northernmost Latitude 80.34817 N ( 80° 20.9' N )
Westernmost Longitude 11.13217 W ( 11° 7.9' W )
Easternmost Longitude 20.75000 E ( 20° 45.0' E )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth -22.0 m
Maximum Sensor or Sampling Depth -20.0 m
Minimum Sensor or Sampling Height -
Maximum Sensor or Sampling Height -
Sea Floor Depth -
Sea Floor Depth Source -
Sensor or Sampling Distribution Scattered at fixed depths - The sensors are scattered with respect to depth but each remains effectively at the same depth for the duration of the series
Sensor or Sampling Depth Datum Approximate - Depth is only approximate
Sea Floor Depth Datum -
 

Parameters

BODC CODERankUnitsTitle
AADYAA011DaysDate (time from 00:00 01/01/1760 to 00:00 UT on day)
AAFDZZ011DaysTime (time between 00:00 UT and timestamp)
ALATGP011DegreesLatitude north relative to WGS84 by unspecified GPS system
ALONGP011DegreesLongitude east relative to WGS84 by unspecified GPS system
CAPHTU011MillibarsPressure (measured variable) exerted by the atmosphere by barometer and expressed at measurement altitude
CAPHTU021MillibarsPressure (measured variable) exerted by the atmosphere by barometer (second sensor) and expressed at measurement altitude
CDTAZZ011Degrees CelsiusTemperature of the atmosphere by thermometer
CDTAZZ021Degrees CelsiusTemperature of the atmosphere by thermometer (second sensor)
CRELZZ011PercentRelative humidity of the atmosphere
CRELZZ021PercentRelative humidity of the atmosphere by second sensor
CSLRR1011Watts per square metreDownwelling vector irradiance as energy of electromagnetic radiation (solar (300-3000nm) wavelengths) in the atmosphere by pyranometer
CSLRR1021Watts per square metreDownwelling vector irradiance as energy of electromagnetic radiation (solar (300-3000nm) wavelengths) in the atmosphere by pyranometer (second sensor)
ERWDSS011DegreesDirection (from) of wind relative to moving platform and heading {wind direction} in the atmosphere by in-situ anemometer
ERWSSS011Metres per secondSpeed of wind relative to moving platform and heading {wind speed} in the atmosphere by in-situ anemometer
EWDASS011Degrees TrueDirection (from) of wind relative to True North {wind direction} in the atmosphere by in-situ anemometer
EWSBSS011Metres per secondSpeed of wind {wind speed} in the atmosphere by in-situ anemometer
IRRDSV011MicroEinsteins per square metre per secondDownwelling vector irradiance as photons of electromagnetic radiation (PAR wavelengths) in the atmosphere by cosine-collector radiometer
PARERXSD1MicroEinsteins per square metre per secondDownwelling vector irradiance as photons of electromagnetic radiation (PAR wavelengths) in the atmosphere by cosine-collector radiometer (second sensor)

Definition of Rank

  • Rank 1 is a one-dimensional parameter
  • Rank 2 is a two-dimensional parameter
  • Rank 0 is a one-dimensional parameter describing the second dimension of a two-dimensional parameter (e.g. bin depths for moored ADCP data)

Problem Reports

No Problem Report Found in the Database

RRS James Clark Ross Cruise JR17005 Meteorology Data Quality Document

Wind sensors

There are areas in this time series when the met data show signs of wind shielding, predominantly when the wind was blowing from 210-300° from the bow. Shielding occurs when the sensor is partially blocked from the wind by the ship. All met data (apart from light) were flagged appropriately. (BODC assessment).


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 Windobserver 70 (ultrasonic) anemometer

A solid state, heated ultrasonic anemometer. Designed for use within the aviation industry and for more extreme weather conditions. It measures the times taken for an ultrasonic pulse of sound to travel from the North transducer to the South transducer, and compares it with the time for a pulse to travel from S to N transducer. Likewise times are compared between West and East, and E and W transducer. The wind speed and direction (and the speed of sound) can then be calculated from the differences in the times of flight on each axis. This calculation is independent of factors such as temperature. It uses 150 Watts of electrical heating in the anemometer head to prevent icing. Wind speed accuracy is +/-2% at 12 m/s. Wind direction accuracy is +/-2 degrees at 12 m/s.

For more information, please see this document: https://www.bodc.ac.uk/data/documents/nodb/pdf/Gill_WindObserver70_2017.pdf

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

Spectral range 400 to 700 nm (± 4 nm)
Sensitivity 4 to 10 µV µmol-1 m-2 s-1
Response time < 1 µs
Non linearity < 1% (0 to 10000 µV µmol-1 m-2 s-1)
Temperature dependence < -0.1% °C-1
Sensitivity change per year < 2%
Directional error < 3% (up to 80° zenith angle)
Field of view 180°
Operating temperature -30 to 70°C
Relative humidity 0 to 100 % RH

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

Specification SP Lite SP Lite2
Spectral range 400-1100 nm 400-1100 nm
Sensitivity 100 µV W-1 m-2 60 to 100 µV W-1 m-2
Response time < 1 s < 500 ns
Maximum irradiance 2000 W m-2 2000 W m-2
Operating temperature -30 to 70°C -30 to 70°C
Temperature dependence 0.15% °C-1 0.15% °C-1

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

RRS James Clark Ross Cruise JR17005 Meteorology Instrument Description Document

The meteorological suite of sensors is located on the bow between 20-22 m height. The instruments used to collect this dataset are displayed in the table below.

Instrument Serial number Last calibration date Comments
Vaisala PTB210 Class B Barometer1(UIC) V145002 10/04/2000 No calibration required
Vaisala PTB210 Class B Barometer2(UIC) W4620001 14/11/2001 No calibration required
Rotronic MP402H-080300 (Air humidity and temp1) 61698924 13/03/2017 No calibration required
Rotronic MP402H-050300 (Air humidity and temp2) 61698922 13/03/2017 No calibration required
Kipp and Zonen SP Lite2 (TIR1 sensor (pyranometer)) 172882 02/02/2017 Manufacturer calibration applied
Kipp and Zonen SP Lite2 (TIR2 sensor (pyranometer)) 172883 02/02/2017 Manufacturer calibration applied
Kipp and Zonen PSQ 1 (PAR1 sensor) 160959 03/10/2016 Manufacturer calibration applied
Kipp and Zonen PSQ 1 (PAR2 sensor) 160960 03/10/2016 Manufacturer calibration applied
Gill windobserver 70 (as JR17006) - n/a No calibration required

Rotronic Hygromet MP102H and MP402H temperature and humidity probes

This meteorological probe measures humidity and temperature with the plug-in HygroClip HC2-S3 sensor module, and can also be equipped with a signal conditioned Pt100 temperature probe.

The two models differ in that the MP102H produces a voltage output while the MP402H produces a current output. Other characteristics are common to both models.

The specification sheet can be accessed here Rotronic MP102H and MP402H.

Specifications

Start up time 3 s (typical)
Data refresh time 1 s (typical)
Humidity range 0 to 100% RH
Humidity accuracy 0.8% RH
Temperature range -40 to 80°C
Temperature accuracy 0.1°C
Maximum air velocity ar probe 20 m s-1
User configurable limits -999 to 9999 engineering units
HC2-S3 Probe material Polycarbonate
Probe dust filter Polyethylene

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.

RRS James Clark Ross Cruise JR17005 Meteorology Processing Procedures Document

Originator's Data Processing

Meterological data were measured from instruments located on the RRS James Clark Ross meterological mast. The data streams were logged every second to the SCS system and merged into comma separated file formats (.ACO). The instruments logged the meterological data to the oceanlogger and anemometer ACO files and the header information was stored in the corresponding .TPL files.

Meteorology was then further processed by the originator by filtering noise and erroneous measurements, and then applying per minute medians to generate smoothed data and smaller file sizes. Further information on processing can be found in the originator's supporting document.

The start and end times of the meterological files are shown in the table below.

Filename Content Description Format Interval Start date Start Time End date End Time
JR17005_underway_calibrated.mat Meteorology .MAT 60 sec 13-05-2018 00:00:00 07-06-2018 06:43

BODC Data Processing

The files were reformatted to BODC internal format using standard data banking procedures. All files were averaged to 60 second intervals. The following table shows how the variables within the files were mapped to appropriate BODC parameter codes.

Originator's File Originator's Parameter Originator's Units Description BODC parameter BODC Unit s Comments
JR17005_underway_calibrated.mat airtemp1 celsius Air temperature CDTAZZ01 Degrees Celsius -
JR17005_underway_calibrated.mat airtemp2 celsius Air temperature CDTAZZ02 Degrees Celsius -
JR17005_underway_calibrated.mat baro1 hPa Air pressure CAPHTU01 mbar Units equivalent
JR17005_underway_calibrated.mat baro2 hPa Air pressure CAPHTU02 mbar Units equivalent
JR17005_underway_calibrated.mat dd - Matlab serial date - - -
JR17005_underway_calibrated.mat humidity1 %RH Relative humidity CRELZZ01 % -
JR17005_underway_calibrated.mat Humidity2 %RH Relative humidity CRELZZ02 % -
JR17005_underway_calibrated.mat lat degrees Latitude ALATGP01 degrees -
JR17005_underway_calibrated.mat lon degrees Longitude ALONGP01 degrees -
JR17005_underway_calibrated.mat par1 Umol/S.m^2 Photosynthetically active radiation (PAR) IRRDSV01 uE/m^2/s Units equivalent
JR17005_underway_calibrated.mat par2 Umol/S.m^2 Photosynthetically active radiation (PAR) PARERXSD uE/m^2/s Units equivalent
JR17005_underway_calibrated.mat tir2 W/m^2 Total incident radiation (TIR) CSLRR102 W/m^2 -
JR17005_underway_calibrated.mat tir1 W/m^2 Total incident radiation (TIR) CSLRR101 W/m^2 -
JR17005_underway_calibrated.mat wind_direction_degrees degrees Wind direction (relative to ship) ERWDSS01 degrees -
JR17005_underway_calibrated.mat wind_speed_ms m/s Wind speed (relative to ship) ERWSSS01 m/s -

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.

Absolute wind speed and direction

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

Calibrations

No calibrations were applied to the meteorological data. The data delivered to BODC were already adjusted for manufacturer coefficients.


Project Information

Changing Arctic Ocean: Implications for marine biology and biogeochemistry

Changing Arctic Ocean (CAO) is a £16 million, five year (2017-2022) research programme initially funded by the Natural Environment Research Council (NERC). The aim of the CAO programme is to understand how change in the physical environment (ice and ocean) will affect the large-scale ecosystem structure and biogeochemical functioning of the Arctic Ocean, the potential major impacts and provide projections for future ecosystem services. In July 2018, additional projects were added to the programme that were jointly funded by NERC and the German Federal Ministry of Education and Research.

Background

The Arctic Ocean is responding to global climate change in ways that are not yet fully understood and in some cases, not yet identified. The impacts of change in the Arctic are global in range and international in importance. To achieve the aim, the programme has two key research challenges:

  • To develop quantified understanding of the structure and functioning of Arctic ecosystems.
  • To understand the sensitivity of Arctic ecosystem structure, functioning and services to multiple stressors and the development of projections of the impacts of change.

The decision to fund the CAO project was both scientific and political and is the second largest research programme funded by NERC.

The programme involves 33 organisations, the majority of which are research institutions in the UK and Germany, and over 170 scientists. The programme consists of four large projects with an additional 12 research projects added in July 2018.

Further information can be found on the Changing Arctic Ocean website.

Participants

There are 33 organisations involved in the Changing Arctic Ocean project, these are:

  • Alfred Wegener Institut (AWI)
  • Bangor University
  • British Antarctic Survey (BAS)
  • Centre for Environment, Fisheries and Aquaculture Science (CEFAS)
  • Durham University
  • GEOMAR
  • Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research
  • Lancaster University
  • Marine Biological Association (MBA)
  • Max Planck Institute for the Science of Human History
  • National Oceanography Centre (NOC)
  • Newcastle University
  • Northumbria University
  • Ocean Atmosphere Systems GmbH
  • Plymouth Marine Laboratory (PML)
  • Scottish Association for Marine Science (SAMS)
  • Scottish Universities Environmental Research Centre (SUERC)
  • Université Libre de Bruxelles
  • University College London (UCL)
  • University of Bristol
  • University of East Anglia (UEA)
  • University of Edinburgh
  • University of Glasgow
  • University of Huddersfield
  • University of Leeds
  • University of Liverpool
  • University of Manchester
  • University of Oldenburg
  • University of Oxford
  • University of Southampton
  • University of St Andrews
  • University of Stirling
  • University of Strathclyde

In addition to the core organisation, there are a number of international collaborators.

Research Details

The four large projects funded by NERC are:

  • Arctic Productivity in the seasonal Ice Zone (Arctic PRIZE)
  • Can we detect changes in Arctic ecosystems? (ARISE)
  • The Changing Arctic Ocean Seafloor (ChAOS) - How changing sea ice conditions impact biological communities, biogeochemical processes and ecosystems
  • Mechanistic understanding of the role of diatoms in the success of the Arctic Calanus complex and implications for a warmer Arctic (DIAPOD)

The additional 12 projects added in July 2018 funded jointly by NERC and the German Federal Ministry of Education and Research are:

  • Advective Pathways of nutrients and key Ecological substances in the Arctic (APEAR)
  • How will changing freshwater export and terrestrial permafrost thaw influence the Arctic Ocean? (CACOON)
  • Chronobiology of changing Arctic Sea Ecosystems (CHASE)
  • Potential benefits and risks of borealisation for fish stocks and ecosystems in a changing Arctic Ocean (Coldfish)
  • Diatom Autecological Responses with Changes To Ice Cover (Diatom-ARCTIC)
  • Ecosystem functions controlled by sea ice and light in a changing Arctic (Eco-Light)
  • Effects of ice stressors and pollutants on the Arctic marine cryosphere (EISPAC)
  • Linking Oceanography and Multi-specific, spatially-Variable Interactions of seabirds and their prey in the Arctic (LOMVIA)
  • Understanding the links between pelagic microbial ecosystems and organic matter cycling in the changing Arctic (Micro-ARC)
  • Microbes to Megafauna Modelling of Arctic Seas (MiMeMo)
  • Primary productivity driven by escalating Arctic nutrient fluxes? (PEANUTS)
  • Pathways and emissions of climate-relevant trace gases in a changing Arctic Ocean (PETRA)

Fieldwork and Data Collection

The programme consists of seven core cruises that survey areas in the Barents Sea and the Fram Strait on board the NERC research vessel RRS James Clark Ross. Measurements will include temperature, salinity, dissolved oxygen, dissolved inorganic carbon, total alkalinity, inorganic nutrients, oxygen and carbon isotopes and underway meteorological and surface ocean observations. In addition to ship based cruise datasets gliders, moorings and animal tags are part of the fieldwork. Further data are collected from model runs.


Can we detect changes in Arctic ecosystems? (ARISE)

The ARISE project is a £2.1 million, three year (2017-2020) research programme funded by the Natural Environment Research Council (NERC) as part of the Changing Arctic Ocean (CAO) programme. The ARISE project sets out to understand Arctic ecosystem responses to rapid environmental change by identifying how Arctic food webs are changing now and in the recent past.

Rapid environmental change is affecting Arctic ecosystems as the Arctic Ocean is adjusting to new, warmer conditions. It is essential to understand the ecosystem response if the projections of future impacts are to be reliable as ocean ecosystems provide key services, such as control of climate and nutrient cycling. This response can be gauged by establishing how Arctic food webs are changing.

Further information can be found on the Changing Arctic Ocean ARISE webpage.

Participants

There are seven organisations involved in the ARISE project, these are:

  • University of Liverpool
  • National Oceanography Centre (NOC)
  • University of Manchester
  • Plymouth Marine Laboratory (PML)
  • University of St Andrews
  • University of Edinburgh
  • Sir Alister Hardy Foundation for Ocean Science (SAHFOS)
  • Scottish Association for Marine Science (SAMS)

In addition to these core organisations, there are 22 international collaborators involved in the project. This international collaboration may also result in the exchange of data with external partners.

Research Details

The ARISE project aims to understand Arctic ecosystem responses to rapid environmental change using a new set of tools that are able to detect pan-Arctic modifications to ecosystems and evaluate past and future change across a diverse set of Arctic environments whilst avoiding studies at a single site. ARISE combines pan-Arctic historical and contemporary observations with traditional isotope and novel biomarkers as food web tracers to gain a complete understanding of how environmental change affects both the base of the food web and two Arctic seal species, considered indicator species.

The project has three hypotheses that will be tested by three objectives designed around a stepwise accumulation of understanding. A fourth objective links the findings of the project to the conservation and management of seals in the Arctic.

Objectives

  • Gain observational constraints on how environmental variability affects the isotope composition of the base of the food web, the isoscape.
  • Combine data on seal foraging and migration to understand how variability in the isoscape is reflected in biomarker signals in seals.
  • Use historical observations and link the new understanding to ocean and seal population models to provide a broad picture of factors driving past and contemporary Arctic ecosystem change.
  • Quantitatively assess the conservation and management implications of the results, with strong links to stakeholders and policy makers.

Fieldwork and Data Collection

The project participates in a number of cruises during 2017 and 2018, primarily onboard the NERC research vessel RRS James Clark Ross. The aim of the data collection is to collect samples for δ15N of nitrate, particulate material and zooplankton to investigate the variability in the isoscape. The datasets collected include: CTD profiles; underway navigation, surface hydrography and meteorology; 13C-DIC, 15N, 18O-nitrate and 15N-DON samples; POM samples; zooplankton nets; stable nitrogen and carbon isotopes water samples; table nitrogen and carbon isotopes biomarkers particle samples; table nitrogen and carbon isotopes biomarker content and molecular data from zooplankton; seal tags; biomarker samples from seal tissue; 15N and 13C samples from seal teeth and Continuous Plankton Recorder zooplankton data from Arctic route. Telemetry is also used to track harp seals during the project.


Data Activity or Cruise Information

Cruise

Cruise Name JR17005
Departure Date 2018-05-08
Arrival Date 2018-06-08
Principal Scientist(s)David Pond (University of Stirling, Institute of Aquaculture)
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