• Aucun résultat trouvé

Validation of seismological data from volcanological and seismological French observatories of the Institut de Physique du Globe de Paris (OVSG, OVSM and OVPF)

N/A
N/A
Protected

Academic year: 2021

Partager "Validation of seismological data from volcanological and seismological French observatories of the Institut de Physique du Globe de Paris (OVSG, OVSM and OVPF)"

Copied!
2
0
0

Texte intégral

(1)

HAL Id: hal-03171834

https://hal.archives-ouvertes.fr/hal-03171834

Submitted on 17 Mar 2021

HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Distributed under a Creative Commons Attribution| 4.0 International License

Validation of seismological data from volcanological and seismological French observatories of the Institut de Physique du Globe de Paris (OVSG, OVSM and OVPF)

Arnaud Lemarchand, François Beauducel, Marie-Paule Bouin, Florent Brenguier, Eric Jacques, Constanza Pardo, El-Madani Aissaoui, Céline

Dessert, Valérie Clouard, Nicolas Villeneuve, et al.

To cite this version:

Arnaud Lemarchand, François Beauducel, Marie-Paule Bouin, Florent Brenguier, Eric Jacques, et al.. Validation of seismological data from volcanological and seismological French observatories of the Institut de Physique du Globe de Paris (OVSG, OVSM and OVPF). 2nd Scientific and Technical Meetings of Résif, Oct 2015, La Grande Motte (34280), France. �hal-03171834�

(2)

Validation of seismological data from volcanological and seismological French observatories (RESIF October 2015)

A. Lemarchand (1), F. Beauducel (1), MP Bouin (1), F. Brenguier (5), E. Jacques (1), C. Pardo (1), E.M Aissaoui (1), C. Dessert (3,1), V. Clouard (2,1), N. Villeneuve (4,1), V. Ferrazzini (4,1), N. Shapiro (1), A. Anglade (3,1), P. Kowalski (4,1), JM Saurel (2,1) and the teams in the IPGP

Volcanological and Seismological observatories.

(1) Institut de Physique du Globe de Paris, France, (2) Observatoire Volcanologique et Sismologique de Martinique, (3) Observatoire Volcanologique et Sismologique de Guadeloupe, (4) Observatoire Volcanologique du Piton de la Fournaise, (5) Institut des sciences de la Terre, Grenoble

IPGP's volcanological and seismological observatories have a monitoring mission which forces them to prioritize real-time data when a disruption of communications or too low bandwidth hinder the retrieval of all the data. Thus, the real-time overtakes the completeness of data. In the case of data transmitted by VSAT or WIFI, an NAQS (Nanometrics) server manages the retransmissions of unacknowledged data but the nmxptool plugin only streams real-time data to a seiscomp server which therefore contains less complete data than get from the server NAQS. Moreover, all stations have local data backups. In the West Indies, AEQC (EM Aissaoui) is a tool that automatically completes the miniseed data by making requests in the NAQS server, in local storage or even in the arclink server of the other partner observatory (Martinique / Guadeloupe). AEQC works over a time window of 30 days, beyond that the recovery is manual in the station. In Réunion, a dashboard of available data is checked every week. Data retrieval from the stations is manual.

Seismic data flow

Antilles (OVSG/OVSM) La Réunion (OVPF)

Validation before the delivery to the IPGP data center (Node A – volcanological et seismological observatories)

Organization

The volcanological and seismological observatories give a scientific training module to the STEPUP doctoral school which aims to train students in the validation of seismological data and metadata in SEED format. Doctoral students validate one year of seismological data acquired in observatories during 12 monthly sessions.

The entire validation environment and the associated analysis scripts are centralized on a single server accessible remotely for students that are not always hosted in the IPGP (eg CEA students). The validation takes place in 5 main stages.

Step 1: validation of dataless SEED

The dataless are maintained in a version server (SVN). A version is labelled with each delivery to the data centre. Systematic checks of fields fixed by convention (blocking, compression, encoding,

channel name, flags, etc.)

1. Consistency of time periods (recoveries)

2. Checking of the location (production of a kml file viewed on googleEarth) 3. Checking the consistency of orientations and channel codes

4. Checking the units of stage 1 (instruments) according to the channel code

5. Verification of the normalization frequencies of the stages (1Hz for HH and 10Hz for EH) 6. Checking channel and station comments for users

7. Analysis of verseed output on dataless

8. Systematic plotting and analysis of the instrumental responses of stages 0 and 1

Step 2: Dataless versus miniSEED

1. Detection and correction of data without defined metadata and vice versa.

2. Detection and correction of inconsistencies between file names and miniseed headers

Step 3: Validation miniSEED files (SDS)

1. Detection and correction of miniseed data whose headers are inconsistent with the dataless (blocking, compression, encoding; channel name).

2. Detection and correction of overlaps in miniseed data.

3. Gaps detection and data completeness analysis.

This step may result in the addition of comments in the SEED dataless to document the data gaps.

Step 4: Power Spectral densities : PQLX

1.Detection of sensor failures and non-seismic data (electronic noise acquisition) in the data spectrum.

2.This step can lead to the addition of comments in the dataless. The observatories had a predefined list of about twenty comments to limit the information only useful to the users.

Delivery to the IPGP data centre

1. list of validated miniseed files and ultimately stamped as a full validated data (Q) 2. a validated and labelled dataless in the SVN on the date of delivery

3. a document summarizing the corrections made during delivery 4. the logs of data verification and correction scripts

Regional networkl (VSAT)

Volcano networks (VPN, WIFI)

Data collected on the Internet

Old analogue

and Geosig stations

EarthWorm

acquisition

Seedlink

Sismo a l’école

IRIS MBWH

EW Imp/Exp

geodas2EW

Sdlink2EW EW Imp/Exp

Real-time SDS

d-15

Miniseed Temps réel

NAQS

2.1 EW

NMXPtool

geodas

SEISCOMP 2.6 Real-time

Primary Acquisition

j-21

SC3 

spread scmaster

scevent Wo2SC3 Ew2sc3

Scqc Woalert Scevtlog scwfparam MySQL

Database of events

SeisComp3 system

MiniSeed data server continuous

SC3 

Arclink :18001 Auto

localisation

AEQC

AEQC

WORK

QC

Quality check

QML

J-1h j-365

SDS 512.D

nrt

J-2 Infini

4K.M SDS

/global_aeqc

EarthWorm7

Rsam LTA/STA Helicorder

Loc auto

QML

WEBOBS

Hyoovsg,m bulletin

SEFRAN3 MC3

B3

Rsync/h

Disks Local

Disks SAN ou NAS

Digital stations : WIFI or Internet Q330 + Baler

CMG3ESPCDE

GeoSig + PCFOX (seiscomp2.6)

EarthWorm / Server WWS

RSAM, drums, spectrograms

...

Winstone Archive 50 Go

Temps réel 50Go

Miniseed Real-time

Numérisation Q330

SEISCOMP3 - RT

spread scmaster

scevent Wo2SC3

Ew2sc3 Scqc Woalert Scevtlog scwfparam

System that fills data gaps

Serveur de données Miniseed continu

SC3 

Arclink :18001

Quality check

MINISEED_CURRENT

SDS archive (3 ans) 512 bytes

nrt

MINISEED_VALIDE

SDS archive (3 ans) 4Kbytes M

EarthWormRT

Seismic processing (LTA/STA Loc auto)

WEBOBS

Hyoovpf bulletin

SEFRAN3 MC3

Rsync j-1

Old analogue stations

Seedlink

Seedlink

Seedlink Seedlink

Tableau de diponibilité Récupération manuelle des données en stations

IPGP Data centre

Selection

Real-time stream SeedLink for

Academic partners , tsunami warning center ...

Observatoires volcanologiques et sismologiques

Daily mirroring rsync

ARCHIVE Total SDS - OVS

MySQL

Database of events QML

Slarchive

Acquisition system and SeisComp3

IPGP

WORK COPY

Rsync/d

Slarchive

Sefran3 and “Main courante” (handtrail) of Guadeloupe

dashboard of available data - Réunion

Validation within each observatories

- Completeness of data

- Maintainance of the dataless SEED

- Mirroring in Paris of data structure (SDS) of miniseed stamped as an intermediate quality (M)

Server to disseminate rtserver.ipgp.fr Server to collect

Step 5 : Telesismic recording waveform check

Selection of three earthquake at a distance between 40° and 85° and a magnitude between 6.8 and 8.2 for each year and each geographical area (Antilles and Reunion).

The SCARDEC method to invert moment tensor is used to model the waveforms on the broad-band

and medium-band stations and to compare them to the real de-convolved waveform. Comparisons

detect flaws in dateless

Références

Documents relatifs

Dans le cas des données transmises en VSAT ou WIFI, un serveur NAQS (Nanometrics) gère les retransmissions des donnnées non acquitées mais le plugin nmxptool

In this paper, to illustrate the commonalities and discrepancies between the French and Dutch schools we focus on the method dedicated to analyse categorical data, known either

Maria-José Escorihuela, Yann H. Kerr, Andre Chanzy, Patricia de Rosnay, Jean-Pierre Wigneron. On the effective penetration depth of l-band radiometry and the validation of SMOS data:

In order to assess the validity of these foraging indices for Weddell seals and different data resolutions, we calculated the time spent in PrCA behaviors associated

Besides, we present an example for publishing the Global Database of Events, Language and Tone (GDELT) as a Streaming Linked Data resource.. We open-sourced the code of our resource

Attacking the problem in the context of RDF Stream Processing, I defined my research question as follows: Given an information need formulated as a top-k continuous conjunctive

After a presentation of the intellectual project, as an inductive approach to language based on the exploration of corpora, we present the principles of correspondence

Many tomographic models built from surface wave velocity observations are formally or implicitly obtained after a two-stage inversion: The first converts a discrete data set