Remote sEnsing obServations of source Parameters and data IntegRation at EtnA: the RESPIRA database

Area of Science:

• Volcanology
• Geophysics
• Remote Sensing

Background:

• Eruption Source Parameters (ESPs) are vital for volcanic ash dispersal models and hazard assessment.
• Mount Etna, a densely populated region, experiences frequent paroxysmal episodes requiring accurate ESPs.
• Existing ESP data for Etna is fragmented across scientific literature.

Purpose of the Study:

• To present RESPIRA, a novel online dataset integrating ESPs for Mount Etna.
• To consolidate data from past publications and new analyses for comprehensive volcanic monitoring.
• To provide a valuable resource for studying Etna's paroxysms and improving hazard forecasting.

Main Methods:

• Compilation of ESPs from existing literature.
• New data analysis using various remote sensing instruments.
• Application of established formulations for parameter derivation.

Main Results:

• The RESPIRA dataset includes column heights, mass eruption rates, and grain-size distribution data.
• Data spans approximately 150 paroxysm episodes of Mount Etna since 1986.
• The dataset integrates information from diverse sources and analytical methods.

Conclusions:

• RESPIRA offers a comprehensive and integrated resource for Mount Etna's volcanic activity.
• This dataset will enhance the understanding of paroxysm episodes and volcanic hazards.
• Improved data integration supports operational services for risk reduction in populated areas.