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Online treatment of eruption dynamics improves the volcanic ash and SO₂ dispersion forecast: case of the 2019 Raikoke eruption

Bruckert, Julia ORCID iD icon 1; Hoshyaripour, Gholam Ali ORCID iD icon 1; Horváth, Ákos; Muser, Lukas O. ORCID iD icon 1; Prata, Fred J.; Hoose, Corinna ORCID iD icon 2; Vogel, Bernhard 1
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung – Forschungsbereich Troposphäre (IMK-TRO), Karlsruher Institut für Technologie (KIT)


In June 2019, the Raikoke volcano, Kuril Islands, emitted 0.4–1.8×109 kg of very fine ash and 1–2×109 kg of SO2 up to 14 km into the atmosphere. The eruption was characterized by several eruption phases of different duration and height summing up to a total eruption length of about 5.5 h. Resolving such complex eruption dynamics is required for precise volcanic plume dispersion forecasts. To address this issue, we coupled the atmospheric model system ICON-ART (ICOsahedral Nonhydrostatic with the Aerosols and Reactive Trace gases module) with the 1D plume model FPlume to calculate the eruption source parameters (ESPs) online. The main inputs are the plume heights for the different eruption phases that are geometrically derived from satellite data. An empirical relationship is used to derive the amount of very fine ash (particles <32 µm), which is relevant for long-range transport in the atmosphere. On the first day after the onset of the eruption, the modeled ash loading agrees very well with the ash loading estimated from AHI (Advanced Himawari Imager) observations due to the resolution of the eruption phases and the online treatment of the ESPs. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000143843
Veröffentlicht am 17.03.2022
DOI: 10.5194/acp-22-3535-2022
Zitationen: 9
Web of Science
Zitationen: 9
Zitationen: 11
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Forschungsbereich Troposphäre (IMK-TRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1680-7324
KITopen-ID: 1000143843
HGF-Programm 12.11.26 (POF IV, LK 01) Aerosol-Cloud-Climate-Interaction
Erschienen in Atmospheric Chemistry and Physics
Verlag European Geosciences Union (EGU)
Band 22
Heft 5
Seiten 3535–3552
Vorab online veröffentlicht am 16.03.2022
Nachgewiesen in Web of Science
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