RLBP

Details

RLBP 

 

Objectives

The Permanent Broadband Network (RLBP) is a specific action of the Epos-France national research infrastructure, attached to the Seismology thematic core service. It is dedicated to permanent seismological observation in mainland France using a network of stations equipped with broadband seismometers (from 0.001 to 10 Hz). Since January 2024, the RLBP has 186 stations operated by 8 Observatories and the CEA's geophysics and detection laboratory (LDG). This national observatory service (SNO) provides and distributes freely continuous recordings of the seismic wave field in real time. These data are mainly used to monitor and characterise seismic activity (in particular by the BCSF-RéNaSS national observatory) and to improve our knowledge of the Earth's internal structure at different scales.

Identity

Data

The data can be accessed from the Epos-France national seismological data portal : https://rlbp.epos-france.fr/donnees/

OCA’s involvement

 OCA is co-host of node A with EOST (Strasbourg) for the RLBP. Within node A, OCA fulfils a national mission which consists of producing metadata for the entire network. OCA also maintains and develops the seismological station supervision tool (SyNapSe). OCA also contributes to Epos-France's seismicity monitoring service, with the detection, location and characterisation of earthquakes in the large south-eastern sector of France (PACA - Corsica, Ligurian Basin, http://sismoazur.oca.eu/). In this same sector, OCA is also responsible for discriminating between earthquakes, quarry blasts and other explosions. Finally, OCA manages and maintains the regional instrument networks.

OCA staff involved

Jérôme Cheze, Christophe Maron, Fabrice Peix, Diane Rivet, Cedric Twardzik

Needs + short-term perspectives

Physicien-Adjoint CNAP position

Ensuring the transition of seismological observation services to the era of Big Data.

Over the last decade, new data acquisition techniques have made it possible to generate data at a much finer temporal and spatial resolution than traditional seismic experiments. These new large datasets include the dense seismic array experiments using nodes (e.g. SISMOB) and distributed acoustics sensing (DAS) data from fiber optics. Similarly, traditional seismological data also shows an increase in the volume collected in recent years.

The need to share this data openly represents an opportunity for Epos-France to be at the forefront of distributing very dense data to the community. This new data poses new challenges in terms of near-real-time dissemination, archiving and processing of the data collected. It is therefore essential to develop new strategies for managing large data sets, which Epos-France Seismological information system (SI) will validate, distribute and archive.

The needs of the community include: (1) the implementation of a new quality control strategies specifically developed for large volumes of seismic data ; (2) the pre-analysis and pre-processing of data using the resources provided by FormaTerre ; (3) the establishment of a standard for the format of DAS data and metadata (in collaboration with European and international groups such as GFZ-GeoInquire or IRIS) ; and (4) the strengthening of communication between the information system (SI) and the users of these massive data at the interface of the Epos-France, FormaTerre and Data Terra infrastructures.

OCA and Géoazur are among the leaders in the field of continuous DAS instrumentation, particularly in the marine environment. They are involved in several national and European DAS data distribution projects (Equipex MARMOR and Serv-Horizon GeoInquire) and have extensive experience in processing and storing these data. OCA is currently building a center for the distribution of reduced DAS data alongside Epos-France. Working closely with the Epos-France data center in Grenoble (Université Grenoble Alpes/OSUG), the SNO RBLP and SISMOB, the OCA is looking to recruit Physicien-Adjoint to be operational in the short term for the distribution of these new data sets and thus meet the challenge of moving seismology into the Big Data era.