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DOI10.5194/acp-22-3535-2022
Online treatment of eruption dynamics improves the volcanic ash and SO2 dispersion forecast: case of the 2019 Raikoke eruption
Bruckert, Julia; Hoshyaripour, Gholam Ali; Horvath, Akos; Muser, Lukas O.; Prata, Fred J.; Hoose, Corinna; Vogel, Bernhard
发表日期2022
ISSN1680-7316
EISSN1680-7324
起始页码3535
结束页码3552
卷号22期号:5页码:18
英文摘要In June 2019, the Raikoke volcano, Kuril Islands, emitted 0.4-1.8 x 10(9) kg of very fine ash and 1-2 x 10(9) kg of SO2 up to 14 km into the atmosphere. The eruption was characterized by several eruption phases of different duration and height summing up to a total eruption length of about 5.5 h. Resolving such complex eruption dynamics is required for precise volcanic plume dispersion forecasts. To address this issue, we coupled the atmospheric model system ICON-ART (ICOsahedral Nonhydrostatic with the Aerosols and Reactive Trace gases module) with the 1D plume model FPlume to calculate the eruption source parameters (ESPs) online. The main inputs are the plume heights for the different eruption phases that are geometrically derived from satellite data. An empirical relationship is used to derive the amount of very fine ash (particles < 32 mu m), which is relevant for long-range transport in the atmosphere. On the first day after the onset of the eruption, the modeled ash loading agrees very well with the ash loading estimated from AHI (Advanced Himawari Imager) observations due to the resolution of the eruption phases and the online treatment of the ESPs. In later hours, aerosol dynamical processes (nucleation, condensation, and coagulation) explain the loss of ash in the atmosphere in agreement with the observations. However, a direct comparison is partly hampered by water and ice clouds overlapping the ash cloud in the observations. We compared 6-hourly means of model and AHI data with respect to the structure, amplitude, and location (SAL method) to further validate the simulated dispersion of SO2 and ash. In the beginning, the structure and amplitude values for SO2 differed largely because the dense ash cloud leads to an underestimation of the SO2 amount in the satellite data. On the second and third day, the SAL values are close to zero for all parameters (except for the structure value of ash), indicating a very good agreement of the model and observations. Furthermore, we found a separation of the ash and SO2 plume after 1 d due to particle sedimentation, chemistry, and aerosol-radiation interaction. The results confirm that coupling the atmospheric model system and plume model enables detailed treatment of the plume dynamics (phases and ESPs) and leads to significant improvement of the ash and SO2 dispersion forecast. This approach can benefit the operational forecast of ash and SO2 especially in the case of complex and noncontinuous volcanic eruptions like that of Raikoke in 2019.
学科领域Environmental Sciences; Meteorology & Atmospheric Sciences
语种英语
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号WOS:000772539600001
来源期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/273435
作者单位Helmholtz Association; Karlsruhe Institute of Technology; University of Hamburg
推荐引用方式
GB/T 7714
Bruckert, Julia,Hoshyaripour, Gholam Ali,Horvath, Akos,et al. Online treatment of eruption dynamics improves the volcanic ash and SO2 dispersion forecast: case of the 2019 Raikoke eruption[J],2022,22(5):18.
APA Bruckert, Julia.,Hoshyaripour, Gholam Ali.,Horvath, Akos.,Muser, Lukas O..,Prata, Fred J..,...&Vogel, Bernhard.(2022).Online treatment of eruption dynamics improves the volcanic ash and SO2 dispersion forecast: case of the 2019 Raikoke eruption.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(5),18.
MLA Bruckert, Julia,et al."Online treatment of eruption dynamics improves the volcanic ash and SO2 dispersion forecast: case of the 2019 Raikoke eruption".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.5(2022):18.
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