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

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Names Surnames Institutions Emails Dionysios Ballas HCMR dballas@ath.hcmr.gr Jérôme Blandin IFREMER jerome.blandin@ifremer.fr Jon Campbell NOCS joc@noc.soton.ac.uk Johannes Karstensen KDM-IFM-GEOMAR jkarstensen@ifm-geomar.de Christophe Laot Telecom Bretagne Christophe.laot@telecom-bretagne.eu Benoît Lecomte IPGP blecomte@ipgp.jussieu.fr Presentation of experiences were open for discussion: Jon Campbell (NOCS): PAP site deployment / telemetry issues Dionysis Ballas (HCMR): Tsunami detection platform Johannes Karstensen (IFM-Geomar): Overview of Eurosite moorings Jérôme Blandin –Julien Legrand (IFREMER): COMMODAC - a comparison of acoustic modems. On day two, discussions were held on several design issues, including energy management, on-shore organization, deployment procedures and extension of deployment durations. 4.3.2.3 Debriefing Several design issues, including energy management, on-shore organization, deployment procedures and extension of deployment durations have already been addressed by members of the ESONET community in the framework of time series stations (PAP, ESTOC etc.). A number of common concerns were indentified and the group agreed to keep updated on the progress of the next or on-going experiments, in particular the ESONET demo missions. (see appendix E) 4.4 Standardisation and Interoperability 4.4.1 Time series and images: treatment and qualification 4.4.1.1 Introductory text The purpose of this sub-session is to give an overview on most commonly used methods for long time-series analysis of data acquired in the framework of deep-sea observatories. The sequence of topics discussions will start with data qualification, after the systematic quality assurance, when the expertise of the specialists is needed to definitively qualify the data, for instance: How to detect a slow and low trend on a long time series? How to conduct pre and post-deployment calibrations and apply post-deployment corrections? How to apply various signal-processing methods to different kinds of data and objectives? How to address gap in time series for signal processing methods? We will discuss examples from parameters to be collected by the generic sensor module, as <strong>Deliverable</strong> #50 - update October 2010 14
defined by ESONET deliverables D11 and D13 including conductivity, temperature, pressure, and currents, as well as a set of rather specific examples including seismic, marine acoustics, biogeochemical flux, and time-series photography, and ecological community data. Objectives: An objective of this session will be to document what are the expected products and the best practices of time-series data analysis in a report, according to the science objectives and case studies. This session must be understood as a starting point for further disciplinary or interdisciplinary workshops supported by ESONET (participation to existing ones, co-organization or organization). 4.4.1.2 Panel sessions Panel P3.1 – “Time series & images: treatment and qualification” led by Ingrid Puillat (IFREMER) and Henry Ruhl (NOCS). Infrastructure visit: Coriolis data center and tour of IFREMER. Participants list: Names Surnames Institutions Emails Puillat Ingrid IFREMER Esonet-coordinator@ifremer.fr Ruhl Henry NERS NOCS h.ruhl@noc.soton.ac.uk Vinci Stefano INGV Stefano.vinci@ingv.it Doumaz Fawzi INGV doumaz@ingv.it Maurin Aurélien CNRS/CPPM maurin@cppm.in2p3.fr Curtil Christian CNRS/ CPPM curtil@cppm.in2p3.fr Brosolo Laetitia CNRS/DTINSU brosolo@dt.insu.cnrs.fr Ammann Jérôme CNRS/IUEM Jerome.ammann@univ-brest.fr Leblond Isabelle IFREMER Isabelle.leblond@ifremer.fr Chailloux Cyril ENSIETA Cyril.chailloux@ensieta.fr Gautier Olivier IUEM Gautier.olivier@gmail.com Pierre Marie Sarradin IFREMER Pierre.Marie.Sarradin@ifremer.fr Jozé Sarrazin IFREMER Jozee.Sarrazin@ifremer.fr 4.4.1.2.1 Introduction talks An outline document (§4.4.1.1) was sent a few weeks before the panel session to the participants. This document consolidated the contributions of involved partners. The panel session started with a general introduction speech presented by I. Puillat (IFREMER) and a specific introduction speech presented by H. Ruhl (NOCS). Introductions talks are summarized hereafter. 4.4.1.2.2 General Introduction During the first best practices workshop held in Bremen (5th Feb. 2008) a session was dedicated to ESONET data management and a first plan was issued (Figure 1). This <strong>Deliverable</strong> #50 - update October 2010 15
Page 1 and 2: Project contract n
Page 3 and 4: CONTENT 1 Executive summary .......
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Page 9 and 10: 4.2.2 Acoustic sensors 4.2.2.1 Intr
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Page 23 and 24: Ecological communities Author: H. R
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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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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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E. minutissima Ec. rostrata Density
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10-12 months for the RAD (r = 0.38;
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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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