Articles | Volume 17, issue 4
Atmos. Chem. Phys., 17, 2865–2879, 2017
https://doi.org/10.5194/acp-17-2865-2017
Atmos. Chem. Phys., 17, 2865–2879, 2017
https://doi.org/10.5194/acp-17-2865-2017

Research article 24 Feb 2017

Research article | 24 Feb 2017

Improving volcanic ash predictions with the HYSPLIT dispersion model by assimilating MODIS satellite retrievals

Tianfeng Chai et al.

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Cited articles

Chai, T., Draxler, R., and Stein, A.: Source term estimation using air concentration measurements and a Lagrangian dispersion model – Experiments with pseudo and real cesium-137 observations from the Fukushima nuclear accident, Atmos. Environ., 106, 241–251, https://doi.org/10.1016/j.atmosenv.2015.01.070, 2015.
Crawford, A., Stunder, B., Ngan, F., and Pavolonis, M.: Initializing HYSPLIT with satellite observations of volcanic ash: A case study of the 2008 Kasatochi eruption, J. Geophys. Res., 121, 10786–10803, https://doi.org/10.1002/2016JD024779, 2016.
Daley, R.: Atmospheric Data Analysis, Cambridge University Press, Cambridge, UK, 1991.
Draxler, R.: The use of global and mesoscale meteorological model data to predict the transport and dispersion of tracer plumes over Washington, D. C., Weather Forecast., 21, 383–394, https://doi.org/10.1175/WAF926.1, 2006.
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An inverse system based on the HYSPLIT dispersion model has been built to estimate volcanic ash source strengths, vertical distribution, and temporal variations. Using MODIS retrievals from the 2008 Kasatochi volcanic ash clouds, three options for matching model results to satellite mass loadings are tested. They all show decent skill. It is also found that simultaneously assimilating observations at different times produces better hindcasts than only assimilating the most recent observations.
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