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Near-real-time detection of tephra eruption onset and mass flow rate using microwave weather radar and infrasonic arrays

Marzano, Frank, Picciotti, Errico, Di Fabio, Saverio, Montopoli, Mario, Mereu, Luigi, Degruyter, Wim, Bonadonna, Costanza and Ripepe, Maurizio 2016. Near-real-time detection of tephra eruption onset and mass flow rate using microwave weather radar and infrasonic arrays. IEEE Transactions on Geoscience and Remote Sensing 54 (11) , pp. 6292-6306. 10.1109/TGRS.2016.2578282
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Abstract

During an eruptive event, the near-real-time monitoring of volcanic explosion onset and its mass flow rate (MFR) is a key factor to predict ash plume dispersion and to mitigate risk to air traffic. Microwave (MW) weather radars have proved to be a fundamental instrument to derive eruptive source parameters. We extend this capability to include an early-warning detection scheme within the overall volcanic ash radar retrieval methodology. This scheme, called the volcanic ash detection (VAD) algorithm, is based on a hybrid technique using both fuzzy logic and conditional probability. Examples of VAD applications are shown for some case studies, including the Icelandic Grímsvötn eruption in 2011, the Eyjafjallajökull eruption in 2010, and the Italian Mt. Etna volcano eruption in 2013. Estimates of the eruption onset from the radar-based VAD module are compared with infrasonic array data. One-dimensional numerical simulations and analytical model estimates of MFR are also discussed and intercompared with sensor-based retrievals. Results confirm in all cases the potential of MW weather radar for ash plume monitoring in near real time and its complementarity with infrasonic array for early-warning system design.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Earth and Ocean Sciences
Subjects: Q Science > Q Science (General)
Uncontrolled Keywords: Spaceborne radar, Meteorological radar, Radar tracking, Meteorology, Volcanic ash, Clouds
Additional Information: PDF uploaded in accordance with publisher's policies at http://www.sherpa.ac.uk/romeo/issn/0196-2892/ (accessed 4.8.16).
Publisher: IEEE
ISSN: 0196-2892
Date of First Compliant Deposit: 4 August 2016
Date of Acceptance: 3 June 2016
Last Modified: 04 Jun 2017 12:39
URI: http://orca.cf.ac.uk/id/eprint/93616

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