Publication Date:
2014-01-23
Description:
[1] During volcanic eruptions, empirical relationships are used to estimate mass eruption rate from plume height. Although simple, such relationships can be inaccurate and can underestimate rates for eruptions in windy conditions. 1-D plume models can incorporate atmospheric conditions and are hypothesized to give potentially more accurate estimates. Here, I present a 1-D model for plumes in cross wind and use it to simulate 25 historical eruptions where plume height H obs was well observed, and where mass eruption rate M obs could be calculated from mapped deposit mass and observed duration. The simulations considered wind, temperature, and phase changes of water. Atmospheric conditions were obtained from the NCEP/NCAR Reanalysis 2.5 degree model. Simulations calculate the minimum, maximum, and average values ( M min , M max , and M avg ) that fit the plume height. Eruption rates were also estimated from the empirical formula M empir = 140H obs 4.14 ( M empir is in kg s -1 , H obs is in km). For these eruptions, the standard error of the residual in log space is about 0.53 for M avg and 0.50 for M empir . Thus for this dataset, the model is slightly less accurate at predicting M obs than the empirical curve. The inability of this model to improve eruption-rate estimates may lie in the limited accuracy of even well-observed plume heights, inaccurate model formulation, and (or) the fact that most eruptions in the dataset were not highly influenced by wind or moisture. For the low, wind-blown plume of April 14-18, 2010 at Eyjafjallajökull, where an accurate plume-height time series is available, modeled rates do agree better with M obs than M empir .
Print ISSN:
0148-0227
Topics:
Geosciences
,
Physics
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