000007843 001__ 7843
000007843 005__ 20260126143502.0
000007843 037__ $$aPOSTER-2026-0030
000007843 100__ $$aBrenot, H.
000007843 245__ $$aMonitoring ash-laden plumes using geodetic remote sensing techniques
000007843 260__ $$c2025
000007843 269__ $$c2025-07-03
000007843 520__ $$aMonitoring ash-laden plumes using geodetic remote sensing techniques. Abstract submitted to the Theme 3 of IAVCEI-SA (https://sa2025.iavceivolcano.org/theme-3):		Session: Dynamics of volcanic eruption plumes: models and observations  Hugues Brenot1, Riccardo Biondi2, Flavio Cannavò3, Samuel Nahmani4, Eric Pottiaux5, and Rohm Witold6 (1)	Royal Belgian Institute for Space Aeronomy (BIRA), Brussels, Belgium. (2)	International Centre for Environmental Monitoring (CIMA), Savona, Italy. (3)	National Institute of Geophysics and Volcanology – Etna Observatory (INGV-OE), Catania, Italy. (4)	Paris Institute of Earth Physics (IPGP), France. (5)	Royal Observatory of Belgium (ROB), Brussels, Belgium. (6)	Wrocłav University of Environment and Life Sciences (WUELS), Poland. Contact: Hugues Brenot     Email: brenot@aeronomie.be Climate changes affect all regions of Earth's neutral atmosphere, from the equator to the poles, driven primarily by human activities and volcanic eruptions. The rise in severe weather events and hazardous clouds from volcanic activity or industrial explosions poses serious threats to public health and can cause widespread damage. Additionally, both convective and volcanic clouds present significant risks to aviation safety. In this context, the aim of this work — which is part of the Convective and Volcanic Cloud (CVC) sub-workgroup of the IAG Commission 4 on “Positioning and applications”, section “Atmospheric remote sensing — is to enhance the detection of hazardous atmospheric structures by analysing disruptions in GNSS radio wave signals received by ground stations or polar low Earth orbit (LEO) polar satellites (radio-occultation). Three benchmark campaigns/sites are considered to enhance risk detection, warnings, and mitigation strategies for extreme CVC events. This presentation focusses on two volcanoes: Etna (eruptions in 2015, 2018 and 2021) and Ruang (eruption in 2024). Results from GNSS techniques on the 3D structure and height of volcanic ash-laden plumes are obtained by integrating data from other remote sensing methods, including sensors on LEO and GEO (geostationary) satellites. Detecting and monitoring extreme clouds involves quantifying atmospheric refractivity and delay propagation of radio signal to identify anomalies relative to reference data. Developing tropospheric parameters from multi-GNSS data is crucial for reconstructing 3D structures through tomography and creating diagnostic tools based on slant delay observations, aiming to characterise the vertical profiles of CVCs.
000007843 594__ $$aSTCE
000007843 700__ $$aBiondi, R.
000007843 700__ $$aCannavò, F.
000007843 700__ $$aHammouti, M.
000007843 700__ $$aNahmani, S.
000007843 700__ $$aPottiaux, E.
000007843 700__ $$aWitold, R.
000007843 773__ $$tIAVCEI Scientific Assembly 2025, Geneva, Switzerland
000007843 8560_ $$feric.pottiaux@ksb-orb.be
000007843 8564_ $$s8181249$$uhttps://publi2-as.oma.be/record/7843/files/202507_IAVCEI-SA_IAG-CVC_poster.pptx
000007843 980__ $$aCPOSTER