Abstract

Abstract. Volcanic eruptions may generate volcanic ash and sulfur dioxide (SO2) plumes with strong temporal and vertical variations. When simulating these changing volcanic plumes and the afar dispersion of emissions, it is important to provide the best available information on the temporal and vertical emission distribution during the eruption. The volcanic emission preprocessor of the chemical transport model WRF-Chem has been extended to allow the integration of detailed temporally and vertically resolved input data from volcanic eruptions. The new emission preprocessor is tested and evaluated for the eruption of the Grimsvötn volcano in Iceland 2011. The initial ash plumes of the Grimsvötn eruption differed significantly from the SO2 plumes, posing challenges to simulate plume dynamics within existing modelling environments: observations of the Grimsvötn plumes revealed strong vertical wind shear that led to different transport directions of the respective ash and SO2 clouds. Three source terms, each of them based on different assumptions and observational data, are applied in the model simulations. The emission scenarios range from (i) a simple approach, which assumes constant emission fluxes and a predefined vertical emission profile, to (ii) a more complex approach, which integrates temporarily varying observed plume-top heights and estimated emissions based on them, to (iii) the most complex method that calculates temporal and vertical variability of the emission fluxes based on satellite observations and inversion techniques. Comparisons between model results and independent observations from satellites, lidar, and surface air quality measurements reveal the best performance of the most complex source term.

Highlights

  • In the past decades, there have been several eruptions with a significant impact on aviation (e.g. Albersheim and Guffanti, 2009; Guffanti et al, 2010; Bolicand Sivcev, 2011)

  • Airspace closure or flight rerouting has been required since volcanic ash may cause significant damage to turbine engines when internal fans are exposed to elevated concentration levels over certain time periods (Clarkson et al, 2016)

  • This study presents the extension of the Weather Research and Forecasting (WRF)-Chem volcanic emission preprocessor towards more complex source terms and evaluates the results for the eruption of the Grimsvötn volcano in Iceland in May 2011

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Summary

Introduction

There have been several eruptions with a significant impact on aviation (e.g. Albersheim and Guffanti, 2009; Guffanti et al, 2010; Bolicand Sivcev, 2011). The standard volcanic emission preprocessor of WRF-Chem has some deficiencies degrading the model performance related to the dispersion of volcanic ash and SO2 clouds. These deficiencies can be mainly attributed to limitations of the description of temporal and vertical variability of emission fluxes (Hirtl et al, 2019). This study presents the extension of the WRF-Chem volcanic emission preprocessor towards more complex source terms and evaluates the results for the eruption of the Grimsvötn volcano in Iceland in May 2011. The IASI observations are used in the Bayesian inversion technique to calculate a volcanic ash and SO2 source term and the SEVIRI, AIRS, and AATSR for evaluation purposes.

Extension of the volcanic preprocessor of the WRF-Chem model
Model setup
Volcanic emission scenarios
Comparison of volcanic ash and SO2 with satellite data
Lidar profiles at selected stations
Comparison with PM10 observations at selected ground stations
Conclusions
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