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Metadata Report for BODC Series Reference Number 2042643


Metadata Summary

Data Description

Data Category Hydrography time series at depth
Instrument Type
NameCategories
Star-Oddi Starmon mini temperature recorder  water temperature sensor
Instrument Mounting subsurface mooring
Originating Country South Africa
Originator Ms Lisa Martinengo
Originating Organization Nelson Mandela University, Institute for Coastal and Marine Research
Processing Status banked
Online delivery of data Download available - Ocean Data View (ODV) format
Project(s) SOLSTICE-WIO
 

Data Identifiers

Originator's Identifier CR4_T8_STARMON_MINI_5802
BODC Series Reference 2042643
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2018-10-17 08:10
End Time (yyyy-mm-dd hh:mm) 2019-03-30 05:10
Nominal Cycle Interval 600.0 seconds
 

Spatial Co-ordinates

Latitude 34.87080 S ( 34° 52.2' S )
Longitude 22.70400 E ( 22° 42.2' E )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth 76.0 m
Maximum Sensor or Sampling Depth 76.0 m
Minimum Sensor or Sampling Height 55.0 m
Maximum Sensor or Sampling Height 55.0 m
Sea Floor Depth 131.0 m
Sea Floor Depth Source SCILOG
Sensor or Sampling Distribution Fixed common depth - All sensors are grouped effectively at the same depth which is effectively fixed for the duration of the series
Sensor or Sampling Depth Datum Approximate - Depth is only approximate
Sea Floor Depth Datum Instantaneous - Depth measured below water line or instantaneous water body surface
 

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)
ACYCAA011DimensionlessSequence number
TEMPPR011Degrees CelsiusTemperature of the water body

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


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

Star-Oddi Starmon mini Temperature Recorder

Description

The Star-Oddi Starmon mini is a compact microprocessor-controlled temperature recorder with electronics and probe housed in a strong waterproof cylinder made of either plastic or titanium.

Specifications

Memory 350000 measurements, although memory size can optionally be increased to 524000 or 699000 measurements. Temperature readings are stored in non-volatile Electrically Erasable Programmable Read Only Memory (EEPROM).
Data Retention 20 years.
Temperature Range -2 °C to +40 °C with outside ranges available at request. The average resolution is 0.013 °C, and the measuring accuracy is +/-0.05 °C.
Maximum Depth Plastic version: 400 m (40 bar), titanium version: 11000 m (1100 bar)
Communication Link Downloaded via PC interface box. Connects to a computer via a RS-232C standard serial interface.
Battery A 3.6 V lithium battery with a life of 5 years for a sampling interval of 10 minutes or greater.

For more information please see the manufacturers specification sheet.

SOLSTICE-WIO EK181 CR4 Moored Temperature Sensors: BODC Processing

The CR4 moored temperature data were supplied to BODC as single MatLab file and was converted to the BODC internal format.

During transfer the originator's variables were mapped to unique BODC parameter codes. The following table shows the parameter mapping. The parameters were the same for each sensor except for the pressure measurements. These were only taken from s/n 0103.

Originator's variable Units BODC Code Units Comments
time UTC - - -
temp deg C TEMPPR01 Degrees Celsius -
press decibar PREXISPS dbar Only measured on sensor: 0103

Following transfer, the data were screened using BODC in-house visualisation software. Improbable data values were assigned the appropriate BODC data quality flag. Missing data values, where present, were changed to the missing data value and assigned a BODC data quality flag.

SOLSTICE-WIO EK181 CR4 Moored Temperature Sensors: Originator's Processing

Sampling Strategy

A Star-Oddi Starmon TD temperature depth logger (s/n: 0103) and ten Star-Oddi Starmon mini temperature recorders (s/n: 5796, 5797, 5798, 5799, 5800, 5801, 5802, 5803, 5804, 5805) were fitted to the Cold Ridge 4 (CR4) mooring at separate depths throughout the water column. These were configured to sample at regular 10-minute intervals for a period of approximately 5 months. A detailed mooring diagram is available in the recovery cruise report.

The CR4 mooring was deployed at a nominal position of -34.8708°S and 22.7040°E on the 17th of October 2018 during R.S. Ellen Khuzwayo cruise EK181 and recovered on the 30th March 2019 during R.S. Ellen Khuzwayo cruise EK188.

Data Acquisition

Upon recovery, the complete dataset was successfully downloaded from the Starmon TD temperature depth logger and the ten Starmon mini temperature recorders.


Project Information

SOLSTICE-WIO: Sustainable Oceans, Livelihoods and food Security Through Increased Capacity in Ecosystem research in the Western Indian Ocean

Introduction

SOLSTICE-WIO is a four-year collaborative project funded by the UK Global Challenges Research Fund (GCRF). Launched in October 2017, it brings together recent advances in marine technologies, local knowledge and research expertise to address challenges facing the Western Indian Ocean region in a cost-effective way via state-of-the-art technology transfer, collaborative environmental and socio-economic research and hands-on training.

Over 100 million people in the Western Indian Ocean (WIO) region live within 100km of the coast, with over 1 million working in the fisheries sector. The WIO is highly dependent on the ocean for economic stability, food security, and social cohesion. In recent years, the region has seen dramatic and often poorly understood reductions in key fisheries, due to the combined effects of climate change, natural ecosystem variability, overfishing and degradation of key marine habitats. Until the mechanisms behind the collapse are understood, there is little potential for aiding recovery or guiding adaptation. The key to stability of living marine resources lies in an ecosystem approach to fisheries (EAF), which sees human-natural systems as a whole, integrated entity rather than separately considering individual target species. Understanding and managing WIO fisheries and the impacts of recent and future changes requires a mature capacity to implement an ecosystem approach to fisheries management (EAF) that is built on sound environmental and socio-economic information.

The core strength of SOLSTICE-WIO lies in its integral approach to food security, drawing on UK expertise in physical oceanography, marine ecology, autonomous observations, environmental economics and the human dimension,and WIO expertise in fisheries, the marine economy and regional policy development. SOLSTICE will provide the region with the state-of-the-art technology to deliver cost-effective marine research and provide the information needed to achieve maximum potential from the region's living marine resources. In the UK marine robotics, ocean models and novel data products from satellite observations have developed rapidly in the last decade, and now underpin Blue Economies and Ocean Governance in Europe. These technologies are highly agile and ready to be applied in the developing world as cost-effective ways to maximise understanding and sustainable exploitation of living marine resources. Such "technology leapfrogging" can overcome the severe lack of research ships in the WIO and save decades of effort in developing predictive modelling systems from scratch.

Scientific Objectives

SOLSTICE-WIO main objectives are to:

  1. Grow marine environmental research capability to address challenges facing the WIO region in a cost-effective way via state-of-the-art technology transfer, collaborative environmental and socio-economic research, and hands-on training.
  2. Strengthen the capacity of UK marine scientists to apply leading-edge technologies in developing countries, and work with regional and local experts to ensure that their research addresses local and regional needs.
  3. Strengthen the ability of WIO scientists to effectively deliver evidence-based environmental and socio-economic information to support policy development and implementation at national and regional levels.
  4. Ensure future sustainability of marine research capability in the region by training and mentoring early career scientists and post-graduate students from the WIO and by developing on-line resources for use in distance learning and hands-on training of marine scientists outside the partner organisations and beyond the duration of the project.
  5. Ensure on-going support for an Ecosystem Approach to Fisheries in the WIO by building lasting strategic research partnerships between UK marine science and regional centres of excellence, between these centres and other WIO research organisations, and between marine scientist and government agencies and NGOs mandated to deliver sustainable development and exploitation of marine living resources in the WIO.

Fieldwork

SOLSTICE-WIO will demonstrate its approach to strengthening research capacity through three case studies in Kenya, Tanzania and South Africa. These have been selected by SOLSTICE-WIO partners in each of the three countries.

  • Tanzania Case Study: Pemba Channel small pelagic fishery under climate threat.

    The small pelagic fishery is important for local communities in Zanzibar and mainland Tanzania as a source of food security, nutrition and livelihood support. This diverse group includes mackerel, sardines and anchovies â?? found in schools over the continental shelf, in bays and deep lagoons with nutrient rich waters. They are more abundant during the southeast monsoon, when stronger winds drive upwelling that brings nutrient rich water to the surface.

    Despite its importance for coastal economies, there is a lack of data and information about the fishery, which hampers effective management. Using robotics, modelling, remote sensing, field observations and socio-economic studies, SOLSTICE will identify key environmental and anthropogenic drivers of the main species and address climatic pressures on this fishery.

  • Kenya Case Study: Emerging fishery of the North Kenya Bank, an opportunity for coastal populations.

    The North Kenya Bank fishery is expected to spur economic growth for local communities. If well managed, it could help achieve national development goals, including poverty alleviation and wealth creation. Sustainability requires informed management interventions, but there is only scant information on the ecological status and drivers of the fishery.

    Using modelling, remote sensing, field observations and socio-economic studies, SOLSTICE will explore processes related to productivity and resilience of the ecosystems supporting the fishery, identify the main drivers of variability and change, and advise the fishery and government on how to optimise use of this important resource.

  • South Africa Case Study: Environmental drivers and socio-economic consequences of the South African Chokka squid fishery collapsing.

    The collapse of the Chokka squid fishery in 2013 had a devastating effect on the Eastern Cape, one of the poorest provinces in South Africa. The reasons for the collapse are unknown, although local fishermen believe it happened as a result of environmental change.

    SOLSTICE will address key environmental and anthropogenic factors controlling the ecosystem dynamics of the Agulhas Bank. The results will help explain why the fishery collapsed, and inform the fishery and government as to whether the current recovery is stable, or whether similar collapses are likely in the future.

BODC image

Project Collaborators

The science delivered as part of SOLSTICE-WIO is greatly enhanced by the collaboration of the following institutions:

  • National Oceanography Centre (NOC)
  • Plymouth Marine Laboratory (PML)
  • Scottish Association for Marine Science (SAMS)
  • Heriot-Watt University
  • Imperative Space
  • Nelson Mandela University (NMU)
  • South African Squid Management Industry Association
  • Rhodes University
  • South African Environmental Observation Network
  • University of Cape Town
  • Institute of Marine Sciences (IMS)
  • Western Indian Ocean Marine Science Association
  • Tanzania Fisheries Research Institute (TAFIRI)
  • Environment for Development - Tanzania (EfDT)
  • WWF Tanzania
  • Kenya Marine and Fisheries Research Institute (KMFRI)
  • Coastal Oceans Research and Development â?? Indian Ocean
  • University of Seychelles
  • Mozambique National Institute of Fisheries Research
  • Institut Halieutique et des Sciences Marines (IH.SM)

SOLSTICE-WIO Leadership Team

Directors

  • Prof Mike Roberts (Nelson Mandela University (NMU), South Africa)
  • Dr Katya Popova (National Oceanography Centre (NOC), UK)

Members

  • Prof Julius Francis (Western Indian Ocean Marine Science Association (WIOMSA), Tanzania)
  • Dr Yohana W. Shaghude (Institute of Marine Sciences (IMS), Tanzania)
  • Dr Baraka Sekadende (Tanzania Fisheries Research Institute (TAFIRI), Tanzania)
  • Dr Joseph Kamau (Kenya Marine and Fisheries Research Institute (KMFRI), Kenya)
  • Prof Warwick Sauer (Rhodes University (Rhodes), South Africa)
  • Dr Eleni Papathanasopoulou (Plymouth Marine Laboratory (PML), UK)
  • Dr Matthew Palmer (National Oceanography Centre (NOC), UK)
  • Dr Val Byfield (National Oceanography Centre (NOC), UK)
  • Sofia Alexiou (National Oceanography Centre (NOC), UK)

Funding

This is a NERC funded research project. The total value of the grant is £6,934,488 and the period of award is from September 4th 2017 to March 3rd 2020. NERC Reference: NE/P021050/1


Data Activity or Cruise Information

Data Activity

Start Date (yyyy-mm-dd) 2018-10-17
End Date (yyyy-mm-dd) 2019-03-30
Organization Undertaking ActivityNelson Mandela University, Institute for Coastal and Marine Research
Country of OrganizationSouth Africa
Originator's Data Activity IdentifierCR4_102018
Platform Categorysubsurface mooring

SOLSTICE-WIO Moored Instrument Rig CR4

This rig was deployed as part of the SOLSTICE-WIO project's Cold Ridge Mooring Deployment, offshore of Mossel Bay, Agulhas Bank, South Africa. 'CR4' refers to the deployment station name.

Data summary

Deployment cruise Ellen Khuzwayo EK181
Recovery cruise Ellen Khuzwayo EK188
Rig position -34.8708°S 22.7040°E
Water depth 131 m
Deployed 17th October 2018
Recovered 30th March 2019

Instrumentation

The subsurface morring was weighted with a 400 kg anchor and an acoustic release. A bottom float was positioned approximately 3 metres above the seabed, with the ADCP at this same position on the mooring. A smaller mid float and top float were also used, with 11 temperature sensors mounted in between. A detailed mooring diagram is available in the recovery cruise report.

Instruments on the subsurface mooring are listed below:

Instrument Serial number Nominal depth
Star-Oddi Starmon TD temperature depth logger 0103 19 m
Star-Oddi Starmon mini temperature recorder 5796 26 m
Star-Oddi Starmon mini temperature recorder 5797 33 m
Star-Oddi Starmon mini temperature recorder 5798 40 m
Star-Oddi Starmon mini temperature recorder 5799 47 m
Star-Oddi Starmon mini temperature recorder 5800 54 m
Star-Oddi Starmon mini temperature recorder 5801 61 m
Star-Oddi Starmon mini temperature recorder 5802 76 m
Star-Oddi Starmon mini temperature recorder 5803 91 m
Star-Oddi Starmon mini temperature recorder 5804 106 m
Star-Oddi Starmon mini temperature recorder 5805 121 m
Nortek Signature 250 ADCP 101164 126 m

Related Data Activity activities are detailed in Appendix 1

Cruise

Cruise Name EK188
Departure Date 2019-03-21
Arrival Date 2019-04-02
Principal Scientist(s)Margaux Noyon (Nelson Mandela University, Institute for Coastal and Marine Research)
Ship Ellen Khuzwayo

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

Appendix 1: CR4_102018

Related series for this Data Activity are presented in the table below. Further information can be found by following the appropriate links.

If you are interested in these series, please be aware we offer a multiple file download service. Should your credentials be insufficient for automatic download, the service also offers a referral to our Enquiries Officer who may be able to negotiate access.

Series IdentifierData CategoryStart date/timeStart positionCruise
2042563Hydrography time series at depth2018-10-17 08:10:0034.8708 S, 22.704 EEllen Khuzwayo EK188
2042575Hydrography time series at depth2018-10-17 08:10:0034.8708 S, 22.704 EEllen Khuzwayo EK188
2042587Hydrography time series at depth2018-10-17 08:10:0034.8708 S, 22.704 EEllen Khuzwayo EK188
2042599Hydrography time series at depth2018-10-17 08:10:0034.8708 S, 22.704 EEllen Khuzwayo EK188
2042606Hydrography time series at depth2018-10-17 08:10:0034.8708 S, 22.704 EEllen Khuzwayo EK188
2042618Hydrography time series at depth2018-10-17 08:10:0034.8708 S, 22.704 EEllen Khuzwayo EK188
2042631Hydrography time series at depth2018-10-17 08:10:0034.8708 S, 22.704 EEllen Khuzwayo EK188
2042655Hydrography time series at depth2018-10-17 08:10:0034.8708 S, 22.704 EEllen Khuzwayo EK188
2042667Hydrography time series at depth2018-10-17 08:10:0034.8708 S, 22.704 EEllen Khuzwayo EK188
2042679Hydrography time series at depth2018-10-17 08:10:0034.8708 S, 22.704 EEllen Khuzwayo EK188
2042225Currents -subsurface Eulerian2018-10-17 08:10:5634.8708 S, 22.704 EEllen Khuzwayo EK188