University of Chicago - Advanced Photon Source
Supplementary Material Calabre (Chapters 3 and 4)
The LIDAR (Light Detection and Ranging) is an optical radar that allows vertical probing of the atmosphere and provides, by active remote sensing, high spatio-temporel resolution profiles of atmospheric constituents such as water vapour, aerosols and upper tropospheric clouds (cirrus). For this, it works by detecting and measuring the laser light backscattering to the reception system composed of mirrors, optics and electronic systems to convert the photons into an electrical signal. The data produced allow phenomena linked to the presence of aerosols above Clermont-Ferrand to to be observed in real time, in particular: - Fine particle pollution episodes - Volcanic ash in the troposphere and the lower stratosphere after a major eruption (Ex: Eyjafjalljökull in 2010) - The passage of desertic dust, and of particles linked to biomass burning large scale episodes. - Spatial characterization of cirrus type clouds. In all cases, the lidar will provide information on the altitude and thickness of the phenomenon. How to cite : Baray, J.-L., & Freville, P. (2023). Lidar. OPGC, LaMP. https://doi.org/10.25519/HYHX-NE30
La Plateforme de Mesures Aéroportées (PMA) est une suite d’instruments scientifiques permettant de caractériser les propriétés microphysiques et optiques des particules nuageuses in situ. Elle est embarquée sur avions de recherche, comme ceux de la flotte française SAFIRE par exemple, lors de campagnes de mesures aéroportées La PMA est labellisée « Instrument National » par l’INSU depuis 2008. A ce titre, elle est mise à disposition de l’ensemble de la communauté scientifique nationale. Les données collectées lors des campagnes sont également mises à la disposition de la communauté, en fonction des projets et de la politique interne de gestion de données applicable. The Airborne Measurement Platform (PMA) is a set of scientific instruments used to characterize the microphysical and optical properties of cloud particles in situ. It is carried on research aircraft, such as the French SAFIRE fleet for example, during airborne measurement campaigns. The PMA has been labeled 'National Instrument' by INSU since 2008. As such, it is made available to the entire national scientific community. The data collected during the campaigns is also made available to the community, depending on the projects and the applicable internal data management policy. How to cite: Coutris, P., & Schwarzenboeck, A. (2023). Plateforme de Mesures Aéroportées. OPGC. https://doi.org/10.25519/C47B-5T76
The 2018 crisis of Kīlauea volcano stands as a major event in its evolution with a large down-rift effusive eruption that drained a shallow magma reservoir at the summit. The characterization of such active magmatic systems and associated hazardous events remains a necessity and a challenge. The summit area is hydrothermally active and strongly altered as indicated by geological mapping. A unique dataset of geophysical measurements was collected around Halemaʻumaʻu crater before its collapse. Magnetic data are interpreted here in combination with geological information, temperature anomalies at the surface, self-potential measurements, and a model of electrical conductivity. 3D forward models show that the main magnetic dipole-like anomaly observed around the crater is not only caused by the crater topography but suggest the presence of an important volume of weakly magnetic material beneath the crater, and which may be caused by higher temperature and/or hydrothermal alteration. 3D inversion of the data allows us to explore the first order geometry of the magnetic structures. We complemented it with 2D forward modeling in order to refine the geometry of major structures. The 2018 collapsed area was thus lithologically heterogeneous with several major mechanical contrasts that likely played a role in the geometry of the collapse. Therefore, mapping magnetic anomalies and monitoring their temporal evolution are of great interest for constraining the nature and mechanical properties of the underlying formations and their evolution in order to help predict future behavior. How to cite: Gailler, L.-S., Bouligand, C., Kauahikaua, J., Lénat, J.-F., & Cluzel, N. (2023). Lithological heterogeneities below the Kīlauea caldera before its 2018 collapse inferred from ground magnetic anomalies [Data set]. OPGC, LMV. https://doi.org/10.25519/6W2G-DR94
Lithological heterogeneities below the Kīlauea caldera before its 2018 collapse inferred from ground magnetic anomalies - Dataset
Atmospheric aerosols have been identified as essential climate variables by international programs, notably GCOS (Global Climate Observing System) and GAW (Global Atmosphere Watch). The objective of CLAP is to contribute to the monitoring of this variable based on regular measurements. The observations of this service must be used to evaluate in a context of climate change - the long-term evolution of certain important sources of aerosol, - the long-term evolution of the aerosol load for different size classes and for different chemical species, - possible retroactions of the aerosol towards the climate through its optical and cloud condensation core properties. This service completes the national SNO landscape for monitoring atmospheric composition and is integrated into the proposed structure of IR ACTRIS-Fr. CLAP is part of the French contribution to the European Research Infrastructure ACTRIS-ERI, submitted for integration into the ESFRI roadmap. Parameters measured: Aerosols: particle size, number per particle size class, chemical composition on filter (EC-OC Soluble inorganics, optical properties, hygroscopic properties. Location of the sites: The SNO CLAP includes 5 sites at altitudes varying from 1465 m to 5240 m at above sea level, and two lowland sites, located on 4 different continents The high altitude sites can be either in atmospheric boundary layer (CLA) or in free troposphere (TL) depending on atmospheric conditions and climate. Puy de Dôme, Maïdo, Pic du Midi, Nepal (Khumbu valley at 5079 m), Bolivian Andes Cordillera (at 5240 m), SIRTA, the Perennial Observatory of the Environment (OPE) (high point at almost 395 m between the center of the Paris basin and the Vosges) Database: http://ebas.nilu.no Network: ACTRIS, GAW
Code for the numerical simulation of the decompression and some examples of the experiments (DecompressionSimu.zip) How to cite : Kelfoun, K., & Proaño, A. (2022). Large-scale fluidisation by pyroclastic surges: an unknown volcanic hazard. Observatoire de Physique du globe de Clermont-Ferrand, Laboratoire Magmas et Volcans. https://doi.org/10.25519/TF5A-8291
Large-scale fluidisation by pyroclastic surges: an unknown volcanic hazard
Carte des séismes vus par les stations de l'OPGC
Observatoire de Physique du Globe de Clermont-Ferrand
This 3D model was performed by Agisoft Metashape Professional Edition software (Educational License). Digital images were taken by Olivier Grunwald, french photographer. This work is part of Erasmus+ Key Action 2 2017-1-UK01-KA203- 036719 '3DTeLC – Bringing the 3D-world into the classroom: a new approach to Teaching, Learning and Communicating the science of geohazards in terrestrial and marine environments'. The generated OBJ tiled model was tested on GeaVR and VRVolc Virtual Reality softwares (See links below). How to cite: DELAGE, E., Grunwald, O., & van Wyk de Vries, B. (2023). Topographic 3D model : Dallol domes [Data set]. OPGC. https://doi.org/10.25519/TXZC-1724
Topographic 3D model : Dallol domes - Dataset
Georeferenced thermal orthophoto of the active summital zone of la Soufrière de Guadeloupe volcano. Images acquired on 08 Nov 2021 by D. E. Jessop (OPGC-SNOV) as part of the ongoing monitoring activities at la Soufrière de Guadeloupe. How to cite: Jessop, D. (2024). Thermal orthophoto, summit of la Soufrière de Guadeloupe volcano, 08/11/2021 [Data set]. OPGC. https://doi.org/10.25519/5S7X-X334
Thermal orthophoto, summit of la Soufrière de Guadeloupe volcano, 08/11/2021 - Dataset
Les gaz traces réactifs comprennent un nombre importants d’espèces avec des durées de vies variant de quelques minutes à quelques mois. Ils jouent un rôle clé dans la chimie atmosphérique et ont directement ou indirectement des impacts sur la capacité oxydante de l’atmosphère, sur la santé, sur le climat et sur les écosystèmes. Evaluer le rôle et les impacts de ces gaz réactifs nécessitent des connaissances sur les variabilités spatiale et temporelle, sur les changements à long terme et en particulier dans un contexte de changement climatique. L’observation des niveaux de fond est également essentielle pour mieux comprendre les relations entre les sources et les récepteurs de polluants et notamment évaluer l’efficacité des politiques de réduction mises en place.
VOLDORAD, namely Volcano Doppler Radar, is a service of the french CNRS-INSU National Service for Observation in Volcanology (SNOV) hosted by the Observatoire de Physique du Globe de Clermont-Ferrand (OPGC), France. It includes a set of transportable radars designed at OPGC, aimed at monitoring and studying explosive volcanic eruptions (volcanic explosion, lava jet, lava fountain, eruption column, tephra plumes) by pointing directly near the source. The core activity of the VOLDORAD service is to provide the scientific community with observational and processed radar data through data bases from continuous monitoring (Etna, Popocatépetl volcanoes) or punctual measurement campaigns (Etna, Stromboli, Yasur, Arenal, Popocatépetl). At Etna, the OPGC radar VOLDORAD 2B is fully integrated into the INGV Osservatorio Etneo monitoring network and operated in collaboration with the INGV sezione di Catania. The radar has been recording raw data (level 0) at 4 Hz from several probed volumes right above the summit craters since 2009 from the Montagnola station on Etna’s south flank. The VOLDORAD 2B open data base comprises the radar products (level 1 data) computed from the raw data by the VOLDORAD service hosted at OPGC. The radar products includes Doppler spectra, velocigrams and time series of backscattered power, radial velocities and other combined radar indices. The main interests of such Doppler radars is their capacity to be transported in the field, to probe inside volcanic plumes or jets, and to track in real-time the ejecta velocity and reflectivity near the source, thus providing some quantification of the temporal evolution of eruption intensity, through all weather. Direct radar retrievals are particle along-beam velocity components and backscattered power, in successive probed volumes inside the beam. Physical parameters that can be derived from the radar retrievals (Donnadieu, 2012; Donnadieu et al., 2005, 2016) are particle ejection velocities, mass flux of tephra, gas initial velocity and gas mass flux estimates, eruption duration, total solid mass, 3-D transport speed of tephra, amount of ballistics and wind-advected tephra, all weather early warning of tephra emission. How to cite : DONNADIEU, F., FREVILLE, P., RIVET, S., HERVIER, C., & CACAULT, P. (2015). Volcano Doppler Radar Data Base of Etna (VOLDORAD 2B). Université Clermont Auvergne – CNRS. https://doi.org/10.18145/VOLDORAD.ETNA.2009
Volcano Doppler Radar Database of Etna (VOLDORAD 2B)
VOLDORAD DOI (Bibliothèque Clermont Université)
Creative Commons Attribution Share-Alike
This dataset comprises an excel file (Supplementary Tables.xlsx) with 5 spreadsheets gathering the whole geochemical data produced and discussed in the manuscript. A document (Supplementary file A.pdf) describing the methodology and supply some information on minor results is also provided. How to cite: AQUILA, Q., Garçon, M., OLIVIER, N., & Bekker, A. (2024). Phantom zircons provide new insight to the evolution of one of the oldest Banded Iron Formations on Earth (Isua Greenstone Belt, Greenland) [Data set]. LMV, OPGC. https://doi.org/10.25519/GC0X-YR88
Phantom zircons provide new insight to the evolution of one of the oldest Banded Iron Formations on Earth (Isua Greenstone Belt, Greenland) - Dataset
[DOI AERIS] SAFIRE ATR42: PMA/Cloud composite dataset
This dataset was created from self potential data acquired over a period of time between 1989 and 2022. The data acquired on the Volvic watershed were first used in a DIREN report (Labazuy, 2000) and in the thesis of Joux (2002). This dataset has been largely completed in the framework of the CAPRICE project (Aumar, 2022) on the Come and Veyre watersheds. How to cite: Aumar, C., & Labazuy, P. (2021). Self Potential data base on the Chaîne des Puys [Data set]. OPGC, LMV. https://doi.org/10.25519/ZGHC-N543
Self Potential data base on the Chaîne des Puys - Dataset
TIFF for 'Self potential map of the Chaîne des Puys'
HOTVOLC is a web-based satellite-data-driven reporting system dedicated to the real-time observation of volcanic products. This application is developped and managed by the Observatoire de Physique du Globe de Clemont-Ferrand (OPGC). It uses on-site automated ingestion of MSG-SEVIRI geostationary data for direct dissemination of ready-to-use products on a full web-GIS interface.This application allows you to interactively browse satellite imagery and associated products for both real-time (RT) and past events.
List of the raw XANES data files attached to manuscript 'Mapping the redox state of the young Solar System using ytterbium valence state' How to cite: Hammouda, T., Frossard, P., Boyet, M., Bouvier, A., Newville, M., & Lanzirotti, A. (2023). Mapping the redox state of the young Solar System using ytterbium valence state [Data set]. OPGC-LMV, ANL. https://doi.org/10.25519/JFCN-B685
Mapping the redox state of the young Solar System using ytterbium valence state - Dataset
Notre observatoire a installé sa première station sismologique au sommet du Puy de Dôme en 1906, puis à l'Observatoire en 1913. Depuis cette date l’enregistrement a été continu à l'OPGC, mais avec un appareillage de faible amplification jusqu’en 1980. A noter qu'à partir des années 1960, une instrumentation sismique a été développée sur le sol français par le CEA à des fins de stratégie militaire (Figure 2). Ce réseau de surveillance servait principalement à localiser les essais nucléaires dans le monde, mais fournissait par la même occasion une meilleure connaissance de la sismicité hexagonale. En Auvergne, la station initiale de l'OPGC a été rénovée en 1980, puis complétée par un véritable réseau couvrant la région. Dès 1986, le réseau Auvergne incluait un minimum de 7 stations permanentes intégrées au RéNaSS. Il est actuellement composé de 20 stations (Figure 3) appartenant à plusieurs réseaux nationaux qui sont le RéNaSS (Réseau National de Surveillance Sismique), le RLBP (Réseau Large Bande Permanent), le RAP (Réseau Accélérométrique Permanent) et le réseau éducatif « sismos à l'école ». Ces réseaux couvrent la France métropolitaine d'une manière encore inégale avec des stations principalement réparties dans les régions les plus sismiquement actives (Figure 1). Toutes ces stations sont gérées dans chaque région par des organismes et des établissements publics dont notamment les Observatoires des Sciences de l'Univers (OSU) de l’Institut National des Sciences de l’Univers (INSU) du Centre National de la Recherche Scientifique (CNRS). Le RLBP et le RAP sont aujourd’hui intégrés au RESIF (REseau SIsmologique & géodésique Français), infrastructure de recherche regroupant l’essentiel des moyens d’observation de la Terre en France. Dans ce cadre, le nombre de stations du RLBP est amené à croître de manière significative afin d'améliorer le maillage spatial des stations sismiques large-bande sur le territoire national. En outre, l’essentiel des stations historiques du RéNaSS seront améliorées afin d’intégrer le RLBP. Les enregistrements sismiques des stations situées en Auvergne sont acheminés à Clermont-Ferrand par ADSL, 4G ou satellite. Les données sont exploitées à l'OPGC et transmises au système d’information de RESIF qui les archive et les distribue à travers un portail. Ce système permet de centraliser les données en provenance des différents centres régionaux français qui assurent l'installation, l'entretien des stations ainsi que la transmission des données. Les réseaux nationaux RéNaSS, RLBP et RAP, aujourd’hui intégrés au RESIF, sont notamment destinés à la surveillance sismique du territoire: suivi en temps réel de la sismicité, détermination des paramètres-source des séismes et archivage des sismogrammes à des fins de recherche. Les bénéfices scientifiques obtenus sont une évaluation de plus en plus précise de l’aléa sismique, la détermination des mouvements tectoniques et une meilleure connaissance de la structure interne de la Terre. Un intérêt supplémentaire du réseau Auvergne est qu’il peut déceler toute activité sismique (sismotectonique ou sismovolcanique) en rapport avec une éventuelle reprise de l’activité volcanique dans le Massif Central. L’alerte sismique, qui incombait jusqu’en 2009 au RéNaSS, est maintenant assurée par le LDG (Laboratoire de Détection et de Géophysique, CEA).
Modelling of block trajectories and impacts (BlockTrajectory.zip) Numerical simulations of fluidized flows (VolcFlowFiles.zip) How to cite : Kelfoun, K., & Gueugneau, V. (2021). A unifying model for pyroclastic surge genesis and pyroclastic flow fluidization. OPGC, LMV. https://doi.org/10.25519/1bsd-9r57
A unifying model for pyroclastic surge genesis and pyroclastic flow fluidization
This dataset contains : - Table S3 including Olivine (Ol), plagioclase (Pl), and clinopyroxene (Cpx) in situ major elements concentrations in wt% analyzed by EPMA on a Cameca SX100 at Geosciences Montpellier (France). - Table S4 including Olivine (Ol), plagioclase (Pl) and clinopyroxene (Cpx) in situ trace elements concentrations in ppm analyzed by LA-ICP-MS on a ThermoFisher Element XR at Géosciences Montpellier (France). How to cite: Boulanger, M., Godard, M., ildefonse, benoit, & BAKOUCHE, M. (2024). Petrological evidence for prominent melt-mush reactions during slow-spreading oceanic accretion [Data set]. OPGC, LMV. https://doi.org/10.25519/1YG4-AQ12
Petrological evidence for prominent melt-mush reactions during slow-spreading oceanic accretion - Dataset
StereoVolc - Merapi Data of the StereoVolc stations installed at Merapi volcano, Indonesia..4 stations in stereoscopic configuration have been installed from 2013 on the flanks and the summit of Merapi. The stations have been developped at OPGC by the SDT. Thierry Latchimy was in charge of the electronic & computer/network development, Martial Bontemps of the technical & field robustness aspect and Karim Kelfoun of the scientific issues. The developpment of the system and the field installation was found by the ANR-project Domerapi, the LabEx ClerVolc, IRD and OPGC. Données des stations StereoVolc installées sur le volcan Merapi, en Indonésie. Depuis 2013, 4 stations ont été installées en configuration stéréoscopique sur les flancs du Merapi et à son sommet. Les stations ont été développées à l'OPGC par le SDT (Service de Développement Technologique). Thierry Latchimy a été responsable du développement électronique & informatique/transmission, Martial Bontemps des aspects techniques & robustesse terrain et Karim Kelfoun des problématiques scientifiques. Le développement du système et l'installation ont été financés par le projet ANR Domerapi, le LabEx ClerVolc, l'IRD et l'OPGC. The installation, conception and maintenance were possible thanks to / la conception, l'installation et la maintenance ont été rendues possibles grâce à : François Beauducel, Ali Fahmi, Nabil Dahamna, Mochammad Husni Rizal, Jatmika Teja Sukmana, Rizal, Antoine Laurin, and , Agus Budi, Ilham Nurdin and the staff of BPPTKG. How to cite: Kelfoun, K. (2023). StereoVolc [Data set]. OPGC, LMV. https://doi.org/10.25519/STEREOVOLC
Le site instrumenté du Cézeaux-Aulnat-Opme-Puy de Dôme (CO-PDD) est site instrumenté labellisé par l’INSU-CNRS pour l’observation de l’atmosphère et du climat. Il fournit un ensemble de données pour documenter l’évolution de la composition de la troposphère sur le long terme, étudier les processus liant gaz, aérosols, nuages et précipitations aux différentes échelles spatiales et temporelles et estimer l’impact des modifications anthropiques en termes climatique (nuage, rayonnement) et météorologique (précipitations). Il est constitué de la station globale GAW du puy de Dôme (1465 m d’altitude), site d’altitude éloigné de sources de pollution immédiates du site d’Opme (680 m) situé en zone rurale et des sites d’Aulnat (330 m) et des Cézeaux (410 m) situés en zone péri-urbaine, près de Clermont-Ferrand. Il accueille plusieurs services d’observation et est impliqué dans les infrastructures de recherche européennes ACTRIS et ICOS. Des campagnes de mesures spécifiques peuvent y être organisées grâce à sa capacité d’accueil et sa situation géographique. Autres organismes impliqués : - IRSN - École des Mines de Douai - ATMO Auvergne - MF - NILU - JRC Ispra - Universités de Bern, Munich Hambourg - Max Planck Institut - Deutsche Wetter Dienst de Hohenpeissenberg (Allemagne) - EMPA (Suisse).
AUVERgne Water CHemistry : Observation system for quantitative and qualitative parameters measurements of the water masses characteristic in Auvergne in order to observe the long-term evolution of the hydrosystems according to the anthropic and climatic modifications. Files in AUVERWATCH_2021.zip package : - Chimie_OPGC.xlsx contains data set of monthly data in physcico-chemical parameters, major ions and traces, - Isotopes_OPGC.xlsx contains data set of monthly isotopic determination of stable isotope of the water molecule, - Pharmaceutiques_OPGC.xlsx contains data set of monthly pharmaceutical concentrations. How to cite : Celle, H., Mailhot, G., Devidal, J.-L., & Labbe, J. (2024). Auverwatch. OPGC, LMV, LCE. https://doi.org/10.25519/AUVERWATCH
This dataset comprises two separated zip files that are directly related to the PhD thesis manuscript 'Partial melting processes and crustal differentiation : new constraints from the study of accessory minerals and the Sm-Nd isotopic system' as Supplementary materials. How to cite: BIGET, T. (2024). Partial melting processes and crustal differentiation : new constraints from the study of accessory minerals and the Sm-Nd isotopic system [Data set]. LMV, OPGC. https://doi.org/10.25519/F7XP-NP56
Partial melting processes and crustal differentiation : new constrainsts from the study of accessory minerals and the Sm-Nd isotopic system - Dataset
This work is part of ANR PERMOLARDS (Projet-ANR-19-CE01-0010). The 7 july 2018 A large landslide occured in Fagraskógarfjall mountain in Hítardalur valley (Iceland). In may 2022, a PERMOLARDS team acquired data during a field mission. This dataset is composed by four topographic models : - 'Hitardalur1.zip': OBJ tiled model from landslide, - 'Hitardalur2.zip': OBJ model from landslide, - 'Hitardalur3.zip': OBJ model from landslide, - 'NearBorganes.zip': OBJ model for centimetric soil shapes freezed and thawed. Digital images were taken by a DJI Mavic drone (Hitardalurx.zip) and by a DJI Pocket 2 attached to a pole (NearBorganes.zip) . 3D models were generated by Agisoft Metashape Professional Edition software (Educational License). The generated OBJ tiled models were tested on VRVolc Virtual Reality software (See link below). How to cite: Delage, E., Conway, S., Morino, C., & van Wyk de Vries, B. (2024). Topographic 3D models : Fagraskógarfjall 2018 landslide and other Vesturland area [Data set]. OPGC, LPG. https://doi.org/10.25519/8ZPC-AX16
Topographic 3D models : Fagraskógarfjall 2018 landslide and other Vesturland area - Dataset
EBAS database with atmospheric measurement data
ICOS is a European infrastructure with ERIC status, registered on ESFRI roadmap. At French level, ICOS-France is also a TGIR (Very Large Research Infrastructure), labeled by MENESR. The ICOS-atmosphere part (also called RAMCES) also has labeling as SNO. The scientific objective of ICOS is the description of biogeochemical cycles of the main additional greenhouse gases (CO2, CH4, N2O, SF6) and quantification of carbon balances on a regional scale. Concerning atmospheric compartment ICOS aims at long-term monitoring of atmospheric concentrations of additional greenhouse gases. These measurements will make it possible to quantify +9surface emissions on a national and regional scale, by inverse modeling of atmospheric transport. Location of sites: SNO-ICOS-Atmosphere comprises nine stations in mainland France, including five tall towers (Trainou, Saclay, OPE/ANDRA, OHP, Roch-Tredudon), two assembly stations (Puy-de-Dôme , Pic du Midi), and two coastal resorts (Ersa, Biscarrosse). This network is completed by 3 stations in overseas territories (Ile Amsterdam, OPAR, Guyaflux), two European stations (Mace Head, Finokalia) and two tropical stations (Lamto, Chacaltaya). Parameters measured: CO2, CH4, N2O, SF6, H2, CO, Radon-222, 13C and 18O isotopes of CO2. Database: https://ramces.lsce.ipsl.fr/ https://icos-atc-demo.lsce.ipsl.fr/ https://ghg-europe.lsce.ipsl.fr/ http://www.esrl.noaa.gov/gmd/ccgg/globalview/co2/co2_intro.html Networking: ICOS, GAW/WMO
This 3D model was performed by Agisoft Metashape Professional Edition software (Educational License). Digital images were taken by OPGC drone team at 'Volcan de Lemptégy'. This work is part of Erasmus+ Key Action 2 2017-1-UK01-KA203- 036719 '3DTeLC – Bringing the 3D-world into the classroom: a new approach to Teaching, Learning and Communicating the science of geohazards in terrestrial and marine environments'. The generated OBJ tiled model was tested on GeaVR and VRVolc Virtual Reality softwares (See links below). How to cite: Delage, E., Régis, E., Bontemps, M., & Van Wyk de Vries, B. (2023). Topographic 3D model : Lemptegy summer [Data set]. OPGC. https://doi.org/10.25519/0G0S-R537
Topographic 3D model : Lemptegy summer - Dataset
The ‘Pôle Régional d'Observation de l'activité Volcano-tectonique d'Auvergne et d'Ardèche (PROVA²)’ is an initiative of the Observatoire de Physique du Globe de Clermont-Ferrand (OPGC) and of the Laboratoire Magmas et Volcans (LMV), with the support from national (via the CNRS-INSU National Observation Services) and international collaborators, as well as Epos-Fr. The main goal is to federate research, observation and communication activities related to volcano-tectonic activity in the youngest volcanic provinces of the French Massif Central. As an example, in 2021-2022, an exceptional seismic swarm was recorded at crustal level beneath the Monts Dore volcanic province, where the last known eruption occurred about 7,000 years ago. Since then, spatial and temporal multi-methods surveys are performed and continue on a regular basis in various sectors of interest in Auvergne and Ardèche, around 6 complementary themes: seismicity, fluid geochemistry, deformation, geophysical imaging, petrogeochemistry, and geology. How to cite: Observatoire de Physique du Globe de Clermont-Ferrand. (2021). Pôle de Recherche de l’Activité Volcano-tectonique d’Auvergne et d’Ardèche (PROVA²) (Version 1) [Data set]. Observatoire de Physique du Globe de Clermont-Ferrand (OPGC), Laboratoire Magmas et Volcans (LMV), Université Clermont Auvergne (UCA), Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD). https://doi.org/10.25519/PROVA2
Pôle de Recherche de l’Activité Volcano-tectonique d’Auvergne et d’Ardèche (PROVA²)
Article DOI : unique electrical resistivity experiment reveals the 3D interior of Piton de la Fournaise
Related to Donnadieu et al., Journal of Volcanology and Geothermal Research
This dataset contains source and supplementary material (videos, figures and histograms) related to the study "Large impacts and their contribution to the water budget of the Early Moon" (Engels et al, Icarus, 2024). How to cite: Engels, T., Monteux, J., Boyet, M., & Bouhifd, M. A. (2024). Large impacts and their contribution to the water budget of the Early Moon [Data set]. OPGC, LMV. https://doi.org/10.25519/6PHB-FV69
Large impacts and their contribution to the water budget of the Early Moon - Dataset
[DOI AERIS] SAFIRE ATR42: PMA/CDP-2 dataset
This dataset presents the main characteristics of well-documented pyroclastic density currents and their related eruptions. How to cite: Roche, O., (2024). Pyroclastic density currents (Version 1) [Data set]. OPGC, LMV. https://doi.org/10.25519/Z1KW-N075
This dataset is composed by : - Code files for plotting data under MATLAB - Data files for figures - Videos files How to cite: PENLOU, B. (2023). Experimental insight of PDC resulting from eruptive fountain collapse [Data set]. OPGC, LMV. https://doi.org/10.25519/4EGC-N945
Experimental insight of PDC resulting from eruptive fountain collapse - Dataset
Prevolcanic topography and hydrogeological watershed of the Chaîne des Puys DOI (OPGC)
Self Potential dataset of the Chaîne des Puys.zip
This dataset contains the mean raindrop volume diameter Dmv, the total raindrop concentration Nr, the rain water content RWC and the vertical wind speed w obtained by a retrieval technique combining the observations from two collocated and zenith pointing Ka and W-band radars at two sites in Finland (07/06/2014) and Oklahoma (12/06/2011). How to cite: Niquet, L., Tridon, F., & Planche, C. (2024). Evaluation of the representation of raindrops self-collection and breakup processes in 2-moment bulk models using multifrequency radar retrievals [Data set]. OPGC, LaMP. https://doi.org/10.25519/1GB0-1C84
Evaluation of the representation of raindrops self-collection and breakup processes in 2-moment bulk models using multifrequency radar retrievals
The multi-anvil press at the Labotaoire Magmas and Volcanoes is capable of generating pressures between 3 and 26 GPa at temperatures of up to 2300°C. Accurate control over the pressure and tempera conditions of experiments, low thermal gradients, the virtual absence of pressure gradients at high temperatures, and large sample sizes (compared with available characterization tools such as optical microscopes, electron or ion microprobes, scanning or transmission electron microscopes, laser ablation systems, Raman or infrared micro spectrometers), make the multi-anvil press an ideal instrument for synthesizing or studying of solids, liquids or fluids phases at high pressures and temperatures. How to cite: Manthilake, G. (2023). Multi-anvil press. OPGC, LMV. https://doi.org/10.25519/MULTI-ANVIL-PRESS
3D electrical resistivity model of Piton de la Fournaise Terminal Cone
This 3D model was performed by Agisoft Metashape Professional Edition software (Educational License). Digital images were taken by Olivier Grunwald, french photographer. This work is part of Erasmus+ Key Action 2 2017-1-UK01-KA203- 036719 '3DTeLC – Bringing the 3D-world into the classroom: a new approach to Teaching, Learning and Communicating the science of geohazards in terrestrial and marine environments'. The generated OBJ tiled model was tested on GeaVR and VRVolc Virtual Reality softwares (See links below). How to cite: Delage, E., Grunwald, O., & van Wyk de Vries, B. (2023). Topographic 3D model : Dallol canyons [Data set]. OPGC. https://doi.org/10.25519/7A8B-EX89
Topographic 3D model : Dallol canyons - Dataset
Self-potential dataset for mapping groundwater flow patterns in the Chaîne des Puys (Auvergne, France) - Data Article
[DOI AERIS] SAFIRE ATR42: PMA/2D-S dataset
Supplementary Material Alaska (Chapter 2)
Observation system within France’s National Service for Volcanological Observation (SNOV).The system contributes complete, integrated, data sets for eruptive products from : field studies (i.e., field mapping, outcrop and sample descriptions), textural analysis (i.e., particle size and size distribution, morphology, density, porosity, connectivity, permeability and vesicle and crystal size, distribution, shape and orientation),and chemical data (i.e., bulk and glass chemistry). How to cite: Gurioli, L., & Di Muro, A. (2017). DynVolc Database. OPGC, IPGP. https://doi.org/10.25519/DYNVOLC-DATABASE
In this work, a three-month INP measurement campaign was conducted at the PUY station (France, 1465m a.s.l) during winter of 2023. The origin of sampled air masses was determined through 72-hour back-trajectory analysis, allowing for the identification of the contribution of specific environments (oceanic, continental clean and polluted, Saharan dust) to the measured IN activity. We then generated a set of parameterizations that are capable to reproduce the variability observed during this campaign. This Dataset contains the data measured during this campaign including INP concentration, measurement temperature, black carbon content, total particle concentration, dust concentration and all variables resulting from air mass classification. How to cite: Canzi, A., Freney, E., Grzegorczyk, P., Baray, J.-L., & Planche, C. (2024). Characterization and Parameterization of INP Concentration Variability Regarding the Source Emissions Origin [Data set]. OPGC, LaMP. https://doi.org/10.25519/SH8R-F866
Characterization and Parameterization of INP Concentration Variability Regarding the Source Emissions Origin
Le Laboratoire Magmas et Volcans (LMV) est une unité mixte de recherche de l’Université Clermont-Auvergne (UCA), associée au Centre National de la Recherche Scientifique (CNRS, UMR 6524), à l’Institut de Recherche pour le Développement (IRD, UMR 163). C’est l’un des deux laboratoires de l’Observatoire de Physique du Globe de Clermont-Ferrand (OPGC). Le LMV constitue aussi le Département d’Enseignement des Sciences de la Terre de l’UCA. Le laboratoire possède une collection scientifique de minéralogie datant de la fin du XIX siècle. D'une part, elle dispose de plus de 6000 échantillons essentiellement minéralogiques, d'autre part, elle est aussi composée de minerais provenant pour la plupart des gisements du Massif Central. La collection minéralogique virtuelle permet ainsi d’offrir une meilleure accessibilité aux minéraux. How to cite: JOUHANNEL, S. (2023). Virtual mineralogical collection. OPGC, LMV. https://doi.org/10.25519/QC3W-7X28
This observation system deals with the monitoring of the biological, microphysical and chemical properties of clouds. The aqueous phase of clouds is collected at the Puy de Dôme observatory using the cloud impactors developed at LaMP/OPGC. Biological and chemical analyses are performed in collaboration with the ICCF (Université Clermont Auvergne). How to cite: Deguillaume, L., & Bianco, A. (2017). PuyCloud Database. Observatoire de Physique du Globe de Clermont-Ferrand (OPGC). https://doi.org/10.25519/PUYCLOUD-DATABASE-2017
This dataset contains 4 animated gif files showing WRF-chem atmospheric dispersion modelling of sub-10 micron volcanic ash particles (PM10) emitted by Etna during sequences of explosive paroxysms (from Rizza et al., Remote Sensing 2023). The atmospheric dispersal of sub-10 μm (PM10) ash is modelled using the WRF-Chem model coupled online with meteorology and aerosols and offline with Mass Eruption Rates (MER) and plume heights infered from near-source measurements by the OPGC Doppler radar VOLDORAD-2B (Donnadieu et al., 2015, 2016). How to cite: Rizza, U., & Donnadieu, F. (2023). Ash dispersion modelling from successive paroxysms of Etna using WRF-Chem and near-source VOLDORAD radar measurements [Data set]. CNR-ISAC, OPGC-LMV. https://doi.org/10.25519/GG1K-2H34
Ash dispersion modelling from successive paroxysms of Etna using WRF-Chem and near-source VOLDORAD radar measurements - Dataset
Web visualization for ground shapes freezed and thawed
Understanding the internal structure of volcanoes is essential for improving eruption predictions and assessing hazards. Achieving high-resolution 3D models of their interiors remains challenging. At Piton de la Fournaise, we used 3D electrical resistivity tomography to generate the first high-resolution image beneath the Terminal Cone, extending to one kilometer deep. Our model reveals a large hydrothermal zone beneath layered lava flows, with conductive offshoots extending toward the surface beneath the Bory crater and along faults linked to the Dolomieu crater. These results indicate that hydrothermal activity is strongly influenced by volcano-tectonic features at the summit. This study provides valuable insights into fluid circulation, magma transfer, and instability, offering a new framework for understanding the spatio-temporal evolution of Piton de la Fournaise and other volcanoes worldwide. How to cite: Gailler, L.-S., Guillard, R., Buvat, S., Labazuy, P., Finizola, A., & Roulleau, E. (2024). A unique electrical resistivity experiment reveals the 3D interior of Piton de la Fournaise [Data set]. OPGC, LMV. https://doi.org/10.25519/W9J6-TD91
A unique electrical resistivity experiment reveals the 3D interior of Piton de la Fournaise - Dataset