Articles | Volume 22, issue 13
https://doi.org/10.5194/acp-22-8529-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-8529-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Jul 2022
Research article |
| 05 Jul 2022
| 05 Jul 2022
Quantifying the impact of meteorological uncertainty on emission estimates and the risk to aviation using source inversion for the Raikoke 2019 eruption
Natalie J. Harvey
CORRESPONDING AUTHOR
Department of Meteorology, University of Reading, Earley Gate, Reading RG6 6ET, UK
Helen F. Dacre
Department of Meteorology, University of Reading, Earley Gate, Reading RG6 6ET, UK
Cameron Saint
Met Office, FitzRoy Road, Exeter EX1 3PB, UK
Andrew T. Prata
Sub-Department of Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford OX1 3PU, UK
Helen N. Webster
Met Office, FitzRoy Road, Exeter EX1 3PB, UK
College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK
Roy G. Grainger
COMET, Sub-Department of Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford OX1 3PU, UK
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Short summary
In the event of a volcanic eruption, airlines need to make decisions about which routes are safe to operate and ensure that airborne aircraft land safely. The aim of this paper is to demonstrate the application of a statistical technique that best combines ash information from satellites and a suite of computer forecasts of ash concentration to provide a range of plausible estimates of how much volcanic ash emitted from a volcano is available to undergo long-range transport.
In the event of a volcanic eruption, airlines need to make decisions about which routes are safe...
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