Observation, surveillance et alerte temps réel de l'activité des volcans par télédétection des points chauds et des panaches de cendres

Les satellites météorologiques Meteosat Seconde Génération (MSG), grâce à la très haute répétitivité temporelle (une image toutes les 15 minutes), et la grande couverture spectrale (12 canaux du visible à l'infrarouge) de leur capteur SEVIRI (Spinning Enhanced Visible and InfraRed Imager), représentent de formidables outils pour la détection, la surveillance et l'analyse des zones volcaniques actives et des panaches de cendres volcaniques. L'intérêt des données à basse résolution spatiale et haute résolution temporelle, des satellites géostationnaires, dans la surveillance quasi temps réel de l'activité volcanique a déjà été démontré (e.g. : Harris et al., 2000). L'objectif des travaux actuels est de concevoir et rendre opérationnel un service d'observation temps réel des anomalies thermiques liées à l'activité des édifices volcaniques ainsi que le suivi et la quantification des émissions de panaches de cendres associées, au sein de l'Observatoire de Physique du Globe de Clermont-Ferrand (OPGC). C'est dans ce contexte qu'une convention permettant la réception et le droit à l'utilisation temps réel des données MSG a été signée entre EUMETSAT (European Organisation for the Exploitation of Meteorological Satellites), MétéoFrance et l'OPGC, permettant l'installation, début 2009, d'une station de réception des données MSG au sein de l'OPGC

Analyse thermique de l'activité volcanique par traitement des données à très haute résolution temporelle du satellite Meteosat Second Generation

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Operational Response to Volcanic Ash Risks Using HOTVOLC Satellite-Based System and MOCAGE-Accident Model at the Toulouse VAAC

In 2010, the Eyjafjallajökull volcano erupted, generating an ash cloud causing unprecedented disruption of European airspace. Despite an exceptional situation, both the London and Toulouse Volcanic Ash Advisory Centres (VAAC) provided critical information on the location of the cloud and on the concentration of ash, thus contributing to the crisis management. Since then, substantial efforts have been carried out by the scientific community in order to improve remote sensing techniques and numerical modeling. Satellite instruments have proven to be particularly relevant for the characterization of ash cloud properties and a great help in the operational management of volcanic risk. In this study, we present the satellite-based system HOTVOLC developed at the Observatoire de Physique du Globe de Clermont-Ferrand (OPGC) using Meteosat geostationary satellite and designed for real-time monitoring of active volcanoes. After a brief presentation of the system we provide details on newly developed satellite products dedicated to the ash cloud characterization. This includes, in particular, ash cloud altitude and vertical column densities (VCD). Then, from the Stromboli 2018 paroxysm, we show how HOTVOLC can be used in a timely manner to assist the Toulouse VAAC in the operational management of the eruptive crisis. In the second part of the study, we provide parametric tests of the MOCAGE-Accident model run by the Toulouse VAAC from the April 17 Eyjafjallajökull eruption. For this purpose, we tested a range of eruption source parameters including the Total Grain Size Distribution (TGSD), the eruptive column profile, the top plume height and mass eruption rate (MER), as well as the fine ash partitioning. Finally, we make a comparison on this case study between HOTVOLC and MOCAGE-Accident VCD

Lava discharge during Etna's January 2011 fire fountain tracked using MSG-SEVIRI

International audienceEtna's January 2011 eruption provided an excellent opportunity to test the ability of Meteosat Second Generation satellite's Spinning Enhanced Visible and InfraRed Imager (SEVIRI) sensor to track a short-lived effusive event. The presence of lava fountaining, the rapid expansion of lava flows, and the complexity of the resulting flow field make such events difficult to track from the ground. During the Etna's January 2011 eruption, we were able to use thermal data collected by SEVIRI every 15 min to generate a time series of the syn-eruptive heat flux. Lava discharge waxed over a ~1-h period to reach a peak that was first masked from the satellite view by a cold tephra plume and then was of sufficient intensity to saturate the 3.9-μm channel. Both problems made it impossible to estimate time-averaged lava discharge rates using the syn-eruptive heat flux curve. Therefore, through integration of data obtained by ground-based Doppler radar and thermal cameras, as well as ancillary satellite data (from Moderate Resolution Imaging Spectrometer and Advanced Very High Resolution Radiometer), we developed a method that allowed us to identify the point at which effusion stagnated, to allow definition of a lava cooling curve. This allowed retrieval of a lava volume of ~1.2 × 106 m3, which, if emitted for 5 h, was erupted at a mean output rate of ~70 m3 s−1. The lava volume estimated using the cooling curve method is found to be similar to the values inferred from field measurements

Response of Fogo volcano (Cape Verde) to lunisolar gravitational forces during the 2014-2015 eruption

International audienceVolcanoes are complex systems that evolve in space and time as a result of their eruptive activity. Volcanic eruptions represent the ultimate expression of a complex interplay between internal and external processes that span across different time scales. Deciphering how internal and external processes interact at the time scale of eruptions may provide key insights on the temporal evolution of eruptions and also help to better evaluate associated volcanic hazards. Studies of the tidal influence on volcanic activity have fallen within this context, although the cause-effect relationship between tides and eruptions is still unclear. In this study, we used Singular Spectrum Analysis to analyze three time-series, namely the seismic tremor, SO2 emission and lava volume flow rate, which cover the first month of effusive activity at Fogo volcano, Cape Verde, in 2014-2015. We detect 9 tidal periodicities and up to 5 in each time-series ranging from semi-diurnal to fortnightly periods. We show that the movement of magma at crustal depths and at surface as well as gas emission during the effusive eruption are all modulated by lunisolar gravitational forces. We highlight the relevance of the volcano location on Earth, which together with the timing of the eruption, associated with a specific astronomical configuration, result in a specific combination of tides that directly influence the volcano eruptive activity. With this data set, we further investigate the response of Fogo volcano to this external forcing. We show that during the 2014-2015 eruption, Fogo volcano acted as a bandpass filter to quasi-permanent tidal oscillations

A year of lava fountaining at Etna: Volumes from SEVIRI

International audienceWe present a new method that uses cooling curves, apparent in high temporal resolution thermal data acquired by geostationary sensors, to estimate erupted volumes and mean output rates during short lava fountaining events. The 15 minute temporal resolution of the data allows phases of waxing and peak activity to be identified during short (150-to-810 minute-long) events. Cooling curves, which decay over 8-to-21 hour-periods following the fountaining event, can also be identified. Application to 19 fountaining events recorded at Etna by MSG's SEVIRI sensor between 10 January 2011 and 9 January 2012, yields a total erupted dense rock lava volume of ∼28 × 106 m3, with a maximum intensity of 227 m3 s−1being obtained for the 12 August 2011 event. The time-averaged output over the year was 0.9 m3 s−1, this being the same as the rate that has characterized Etna's effusive activity for the last 40 years

APPORT DES DONNEES SAR A LA COMPREHENSION ET A LA SURVEILLANCE DES VOLCANS : EXEMPLE DU PITON DE LA FOURNAISE

International audienceLast two decades have proven that remote sensing represents a key tool to improve our knowledge of volcanic systems but also to monitor active volcanoes. Based on the specific case of Piton de la Fournaise, Reunion Island, the most active French volcanoes, we here illustrate how Synthetic Aperture Radar (SAR) data, providing information even in cloudy conditions, make it possible to map eruptive deposits, to quantify their volumes but also to estimate the volcanoes topography (with metric precision) as well as surface deformation fields (with a precision reaching a few millimeters).La télédétection s'est révélée au cours des deux dernières décennies comme un outil essentiel à la fois pour améliorer notre connaissance des systèmes volcaniques mais également pour assurer la surveillance des volcans actifs. En utilisant l'exemple du Piton de la Fournaise, le plus actif des volcans français, nous illustrons ici comment les données radar satellitaires (SAR), dont l'utilisation n'est pas empêchée par la présence de nuages, permettent non seulement de cartographier les dépôts éruptifs et d'estimer leur volume mais aussi de mesurer la topographie de l'édifice volcanique (avec une précision métrique) ainsi que ses déformations de surface (avec une précision atteignant quelques millimètres)

Near real-time monitoring of the April-May 2010 Eyjafjallajökull ash cloud: an example of a web-based, satellite data-driven, reporting system

International audienceDuring the 2010 eruption of Eyjafjallajökull volcano (Iceland) we set up a system designed to ingest satellite data and output volcanic ash cloud products. The system (HVOS = HotVolc Observing System) ingested on-reception data provided every 15 minutes by the SEVIRI sensor flown aboard the Meteosat Second Generation (MSG) satellite. Data were automatically processed and posted on the web to provide plume location maps, as well as to extract plume metrics (cloud top height and mass flux), in near-real time. Given the closing speeds for aircraft approaching such hazardous ash clouds, reporting delays for such products have to be minimised