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HAL Id: hal-02416437

https://hal.archives-ouvertes.fr/hal-02416437

Submitted on 20 Jan 2020

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Résif-SI Grenoble : Résif-DC, Rap, Sismob

Jonathan Schaeffer, Catherine Péquegnat, David Wolyniec, Rima Bouazzouz, Jérôme Touvier

To cite this version:

Jonathan Schaeffer, Catherine Péquegnat, David Wolyniec, Rima Bouazzouz, Jérôme Touvier. Résif- SI Grenoble : Résif-DC, Rap, Sismob. Rencontres scientifiques et techniques RESIF 2019, Nov 2019, Biarritz, France. �hal-02416437�

(2)

RESIF-SI Grenoble : RESIF-DC, RAP, SISMOB

J. Schaeffer (1 presenting author), C. Péquegnat(2), D.Wolyniec(1), R. Bouazzouz(2), J. Touvier(2) and RESIF-SI working group (1) Université Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, IFSTTAR, OSUG, F-38000 Grenoble

(2) Université Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, IFSTTAR, ISTerre, F-38000 Grenoble Contact : dc@resif.fr / Helpdesk : resif-dc@univ-grenoble-alpes.fr

Services

Data management workflows

Datacenter infrastructure Distribution statistics

Future works

1. (Meta)Data distribution - realtime data distribution - FDSN webservices

- dataselect, station, availability - EIDA webservice : wfcatalog

- arclink (to be stopped end of 2019) - rsync

- RESIF-SI webservices :

timeseries / timeseriesplot

(Meta)Data Integration : - realtime data collection

- validated data submission and integration - Metadata submission and integration

RESIF-SI datamanagement tools :

- webservices orphanfile, transaction, assembleddata Metadata exploration seismology.resif.fr

Raw data collection Data qualification Metadata edition

Data management expertise

cf. SISMOB poster

RESIF-DC Regional nodes

RAP and SISMOB

Regional nodes collect the data, validate and qualify it. They create all relevant metadata and store the results at RESIF-DC

They build the realtime data streams that are concentrated and distributed at RESIF-DC

RESIF-DC stores, distributes and computes side products from the validated data. The metadata is made available for EPOS federator and other federated services.

All datasets are integrated in the ORFEUS-EIDA data distribution system, and in EPOS.

Large-N experiments yield high data volumes and scientific use cases are distinct from other networks. We built a separate workflow to manage these specificities

Core Trust Seal Certification RESIF-DC is taking part in the CEDRE project aiming at certifying datacenters hosting earth science data in France.

Usage statistics webservice RESIF-DC is developing a webservice to publish relevant statistics for the PIs

YASMINE Yet Another Stationxml Metadata Editor is an ongoing joint development IRIS/RESIF to provide a new tool for StationXML edition, featuring batch processing. This tool will be extensively used by regional nodes

SICACO a tool that automatically fills a seismic data archive, corrects overlaps and requests data to fill the gaps. Data are regularly fetched from a pool of different sources (seismic station, local archive...)

Large-N data management: We build a specific workflow to manage Large N experiences, store and distribute them as PH5 archives, using the PH5 suite. Work in progress to distribute the data selectively.

Stations 6 regional nodes

 

ftp, rsync, http

Data qualification

Metadata

RESIF-DC

Realtime data stream seedlink data stream

PSD WebServices Other services

Metadata catalog

New webservices : Availability https://ws.resif.fr/fdsnws/availability/1 Timeseries https://ws.resif.fr/resifws/timeseries/1

Dataselect clients in 2019

>100-10

2 300 000 dataselect requests/month 5.7 TB distributed/month

70 TB of validated seismic data 70 Networks

Message BUS Workers

Incoming Zone

Data integration

Inventory Databases

Waveform Database

WFCatalog

Validated data &

metadata

Data distribution services

Regional nodes

RESIF DC

CCIN2P3 Lyon

Data dump

Usage statistics

Network Station Location Channel Quality Earliest Latest RA PYTO 02 HN2 M 2017-11-02T13:35:00 2017-11-02T23:59:58

Timeseries result with format=plot

AvailabilityWS

Dataselect Timeseries

net = RA sta = PYTO chan = HN2 level = channel

StationWS

<Channel

locationCode="02"

code="HN2"

startDate="2008-10-10"

endDate="2500-12-31">

Quality Earliest Latest TimeSpans M 2011-01-03T09:04:58 2019-06-13T23:59:58 1675 Q 2008-11-16T22:53:55 2008-12-28T15:07:33 14

miniseed sacgeocsv

{

plot /extent

/query

Weekly data distribution through dataselect webservicedec 2018 jan 2019 fev mar apr may jun jui aug sept oct

Validated data holdings by year as of nov. 2019

Service and data catalog : routing data requests

RESIF-SI services and data catalog are published through the routing webservice.

The data provider defines priority data centers for the distribution of network data

The routing information is used by worldwide portals, federators and ObsPy in order to route the requests to the best datacenter.

others Z72018

YR2013

ZK2017 YV2011

ZO2018 Z32015

X72010

4.2 4.9 5.5

5.5 8.3

9.2

12.1 less than 4% : 50.1

Dataholding percentage by network at RESIF-DC

>>> from obspy.clients.fdsn import RoutingClient

>>> client = RoutingClient("eida-routing")

>>> inv = client.get_stations(

... channel="LHZ", starttime=UTCDateTime(2017, 1, 1), ... endtime=UTCDateTime(2017, 1, 1, 0, 5), latitude=10, ... level="channel", longitude=10, maxradius=25)

>>> print(inv)

Inventory created at 2019-11-05T15:14:55.741949Z Created by: ObsPy 1.1.0

https://www.obspy.org

Sending institution: ObsPy FDSN Routing 1.1.0,RESIF,SeisComP3 (GFZ,RESIF) Contains:

Networks (2):

G, TT

Stations (2):

G.TAM (Tamanrasset, Algeria)

TT.TATN (Station Tataouine, Tunisia) Channels (2):

G.TAM.00.LHZ, TT.TATN.00.LHZ

Routing exemple with ObsPy

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