A probabilistic inverse method for volcanic ash dispersion modelling

Authors

  • Meelis Juma Zidikheri Bureau of Meteorology
  • R Potts Bureau of Meteorology
  • C Lucas Bureau of Meteorology

DOI:

https://doi.org/10.21914/anziamj.v56i0.9384

Keywords:

Inverse modelling, volcanic ash, data assimilation, meteorology, dispersion modelling

Abstract

We present a new inverse modelling approach for integrating satellite detections of volcanic ash with dispersion models. We demonstrate the utility of this approach in estimating the ash column height in the February 2014 eruption of Mount Kelut in Java, Indonesia. We show that the inferred height is consistent with estimates obtained by other remote sensing techniques. This method may be used to obtain estimates of model parameters such as ash column height in cases where no such information is available or is subject to significant uncertainty. References
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Author Biographies

Meelis Juma Zidikheri, Bureau of Meteorology

Centre for Australian Weather and Climate Research

R Potts, Bureau of Meteorology

Centre for Australian Weather and Climate Research

C Lucas, Bureau of Meteorology

Centre for Australian Weather and Climate Research

Published

2016-01-03

Issue

Section

Proceedings Computational Techniques and Applications Conference