Elaborating an early warning prototype to better monitor volcanic eruptions in Southeast Asia overcoming ubiquitous difficulties in the region
Abstract
One of the biggest challenges for eruption detection within the region of Southeast Asia is due to the ubiquitous cloud-cover. This is critical considering that until now, operational remote sensing for monitoring volcanoes has been focused on satellites observations. In this context, there is a need to develop additional early warning tools. We propose here to develop a framework combining multiple data streams with their own strengths and weaknesses, including satellite, infrasound and possibly social media. Remote infrasound particularly presents the advantage to not be affected by cloud coverage and time of day as opposed to satellite measurements. It now allows us to retrieve source parameters like the plume height for large eruptions. As for social media, it has been widely used in Southeast Asia providing a new dataset to contribute in early detection and identification of new volcanic eruptions. Since this framework is still in a draft form, we will focus here on presenting the use of the different data streams within an early warning system in the case of some particular eruptive events. Such work will notably aim to reduce the lag time between an eruption, its detection and characterization. This will help to mitigate the impact of ash clouds on, but not only, air traffic by providing actionable products in a timely manner.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFM.V51K0253T
- Keywords:
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- 8414 Eruption mechanisms and flow emplacement;
- VOLCANOLOGY;
- 8419 Volcano monitoring;
- VOLCANOLOGY;
- 8485 Remote sensing of volcanoes;
- VOLCANOLOGY;
- 8494 Instruments and techniques;
- VOLCANOLOGY