Project Deliverable D50 Report on Best Practices ... - ESONET NoE

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The list of sensors issued by the ESONET working group (D13) mentions two level of priorities: the minimum list and an extended list. This new meeting is intending to finalize the specifications of the "minimum list" and proceed in the recommendations for the sensors of the extended list. This session specifically addresses the qualification and deployment procedures of the individual measuring system. Equipment testing complying with standards such as NFX 10- 800 or similar must be performed for the qualification. The group should propose a way to ensure that all qualifications are performed. The session specifically addresses the qualification and deployment constraints of the individual measuring system. The metrology necessary before and between each deployment will be discussed. The metrology procedures must be related to the international standards and agreements of reference laboratories, ensuring long-term traceability and interoperability. Objectives: Prepare final specifications. Issue recommendations according to the recognized state of the art. Recommend comparative tests and qualification tests. Evaluate costs for the purchase and operation of these instruments. It appears that these issues are an integrating activity inside ESONET, which might last after the end of the project as a service part the European infrastructure. 4.2.1.2 Panel sessions Panel P1.1 – “Physico-chemical sensors, Metrology” led by Jens Greinert (NIOZ) and Anders Tengberg (AADI). Infrastructure visit : Calibration facilities and tour of IFREMER. Participants list : Names Surnames Institutions Emails Lénaig Caradec Illipack noemie.claval@illipack.com Jens Greinert NIOZ greinert@nioz.nl Noémie Claval Illipack noemie.claval@illipack.com Laurent Coppola CNRS-LOV coppola@obs-vlfr.fr Laurent Delauney IFREMER laurent.delauney@ifremer.fr Marc Le Menn SHOM lemenn@shom.fr Dominique Lefevre CNRS-LMGEM dominique.lefevre@univmed.fr Jean Marvaldi IFREMER jean.marvaldi@ifremer.fr Lionel Paofai Illipack noemie.claval@illipack.com Florence Salvetat IFREMER florence.salvetat@ifremer.fr Pierre Marie Sarradin IFREMER pierre.marie.sarradin@ifremer.fr Anders Tengberg Aanderaa Data Instruments Anders.tengberg@aadi.no Séverine Thomas Europôle Mer severine.thomas@univ-brest.fr Frank Wenzhoefer MPIMM fwenzhoe@mpi-bremen.de 4.2.1.3 Debriefing See Annex C <strong>Deliverable</strong> #50 - update October 2010 8
4.2.2 Acoustic sensors 4.2.2.1 Introductory text Acoustic sensors like ADCP and sonar systems are forming the backbone for ocean science missions. This session will focus on best practices developed within this context in particular in regard to signal processing techniques and data verification strategies for acoustic systems. Although ADCPs are based on a very straightforward measuring principle the data processing is quite intricate often leaving scientific users in the role of simply applying predefined processing steps. A coherent approach on this appears necessary so that users of the data can judge on the reliability of the collected data. The following issues will be discussed during this session: o Application of acoustic systems in different scenarios (ADCPs for currents and waves). o Known issues of the instruments. o Existing or newly developed quality control and assurance procedures. o Interaction with manufacturer to derive recommendations for the user. Giving reference to a use case selected from demo mission activities like the detection and classification of marine mammals by recording acoustic signals the application of discussed methods will be highlighted. 4.2.2.2 Panel sessions Panel P1.2 – “Acoustic sensors” led by Jean-Pierre Hermand (ULB) and Michel André (UPC). Infrastructure visit : Calibration facilities and tour of IFREMER. Participants list : Names Surnames Institutions Emails Michel André UPC michel.andre@upc.edu Patrice Brehmer IRD pbrehmer@ifremer.fr Sylvain Busson ENSIETA sylvain.busson@ensieta.fr Gunay Cifci DEU-IMST gunay.cifci@deu.edu.tr Jens Greinert NIOZ greinert@nioz.nl Michel Hamon IFREMER michel.hamon@ifremer.fr Jean-Pierre Hermand ULB jhermand@ulb.ac.be Olivier Peden IFREMER olivier.peden@ifremer.fr Olivier Pot IPGP pot@ipgp.fr Carla Scalabrin IFREMER carla.scalabrin@ifremer.fr Cyril Chailloux ENSIETA cyril.chailloux@ensieta.fr Seda Okay DEU-IMST seda.okay@deu.edu.tr <strong>Deliverable</strong> #50 - update October 2010 9
Page 1 and 2: Project contract n
Page 3 and 4: CONTENT 1 Executive summary .......
Page 5 and 6: 1 Executive summary The main goal o
Page 7: 4 Sessions 4.1 General indications
Page 11 and 12: In the marine environment a diversi
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Page 15 and 16: defined by ESONET deliverables D11
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Page 19 and 20: The oxygen sensor in the generic sp
Page 21 and 22: Common topics on time series analys
Page 23 and 24: Ecological communities Author: H. R
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Page 57 and 58: Annex C Slides from Anders Tendberg
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Criteria for Observatory Sensors Fi
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Possible sensor technology for obse
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http://www.act-us.info/ EURO ACT, l
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Calibration methods Temp Pr Current
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Which problems remain to be solved
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Tests : • Fluorescence sensors :
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Local Protection by electrochlorina
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WG 1 GENERIC INSTRUMENTATION PANEL
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Physical and Technological constrai
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Annex D EARTH SEA SCIENCE IN KM3Net
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I - Manage data from the above. (Sp
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Figure 2: Secondary junction box of
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Docking unit is also the structural
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Infrastructure / Standalone observa
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Infrastructure / Standalone observa
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Annex F1: processing of ELISA data
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Figure 2: currents measured around
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depth (m) Due to inertial currents
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Figure 6: Rebuilt Time series of sa
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ANNEXE F2 - M. FAUZI's presentation
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40 km submarine cable -2475m depth
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CTD ADCP Interdisciplinary Instrume
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Deliverable #50 -
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Shore Station : M. Pacha 40km Elect
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Antares Database and Web site proje
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Deliverables / Pla
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Istituto Nazionale di Geofisica e V
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Just in time data conversion Web GU
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Let’s see it live SeaFloor test s
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Ecological Communities •Species c
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Spatio-Temporal Correlations • Ti
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Deliverable #50 -
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E. minutissima Ec. rostrata Density
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10-12 months for the RAD (r = 0.38;
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Total density (TAD) (ind. grab -1 )
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Total density (TA D)(ind. grab -1 )
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El Niño Southern Oscillation, Nort
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Fishery Sciences and Technology Dep
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ANNEX F6 - DEBRIEFING : Del
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Introduction • From the first Bes
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Time-Series Analysis Considerations
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• CTD F, Bio, etc…. Time series
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CTD Some examples of time series
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Development of an Automated Protoco
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Data management collaboration with
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Project Deliverable D50 Report on Best Practices ... - ESONET NoE

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