Operational Modelling of Umbrella Cloud Growth in a Lagrangian Volcanic Ash Transport and Dispersion Model

• Published in: Atmosphere
• Main Authors: Helen N. Webster, Benjamin J. Devenish, Larry G. Mastin, David J. Thomson, Alexa R. Van Eaton
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2020
• Subjects: umbrella cloud; volcanic ash transport and dispersion model; lateral spread; satellite observations; operational forecasting; Meteorology. Climatology; QC851-999; Bursik; Eyjafjallajökull
• Online Access: https://doi.org/10.3390/atmos11020200; https://doaj.org/article/48a177e0a9044e68b4ddc878f3ad98dc

Large explosive eruptions can result in the formation of an umbrella cloud which rapidly expands, spreading ash out radially from the volcano. The lateral spread by the intrusive gravity current dominates the transport of the ash cloud. Hence, to accurately forecast the transport of ash from large eruptions, lateral spread of umbrella clouds needs to be represented within volcanic ash transport and dispersion models. Here, we describe an umbrella cloud parameterisation which has been implemented into an operational Lagrangian model and consider how it may be used during an eruption when information concerning the eruption is limited and model runtime is key. We examine different relations for the volume flow rate into the umbrella, and the rate of spreading within the cloud. The scheme is validated against historic eruptions of differing scales (Pinatubo 1991, Kelud 2014, Calbuco 2015 and Eyjafjallajökull 2010) by comparing model predictions with satellite observations. Reasonable predictions of umbrella cloud spread are achieved using an estimated volume flow rate from the empirical equation by Bursik et al. and the observed eruption height. We show how model predictions can be refined during an ongoing eruption as further information and observations become available.