Project Deliverable D50 Report on Best Practices Workshop - Ifremer

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