Forecasting volcanic ash deposition using HYSPLIT
Abstract
A major source of error in forecasting where airborne volcanic ash will travel and land is the wind pattern above and around the volcano. GNS Science, in conjunction with MetService, is seeking to move its routine ash forecasts from using the ASHFALL program, which cannot allow for horizontal variations in the wind pattern, to HYSPLIT, which uses a full 4-D atmospheric model. This has required some extensions to the standard version of the HYSPLIT program, both to get appropriate source terms and to handle the fall velocities of ash particles larger than 100 microns. Application of the modified HYSPLIT to ash from the Te Maari eruption of 6 August 2012 from Tongariro volcano gives results similar to the observed ash distribution. However, it was also apparent that the high precision of these results could be misleading in actual forecasting situations, and there needs to be ways in which the likely errors in atmospheric model winds can be incorporated into ash models, to show all the areas in which there is a significant likelihood of deposited ash with each particular volcanic eruption model.
Plain language summary
Forecasting where volcanic ash clouds will drift is tricky because wind patterns change with height and location. GNS Science switched from a simpler ash-forecasting tool to HYSPLIT, a more sophisticated model that accounts for these wind variations, and tested it against real ash-fall data from the 2012 Tongariro eruption - finding it worked well, though forecasters still need a way to show the uncertainty in their wind predictions.
Citation
Hurst T, Davis C (2017). Forecasting volcanic ash deposition using HYSPLIT. Journal of Applied Volcanology.
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Authors
Hurst T, Davis C
Published in
Journal of Applied Volcanology
Peer reviewed
Yes
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