Remote sensing and inverse transport modeling of the Kasatochi eruption sulfur dioxide cloud

被引:76
作者
Kristiansen, N. I. [1 ]
Stohl, A. [1 ]
Prata, A. J. [1 ]
Richter, A. [2 ]
Eckhardt, S. [1 ]
Seibert, P. [3 ]
Hoffmann, A. [4 ]
Ritter, C. [4 ]
Bitar, L. [5 ]
Duck, T. J. [5 ]
Stebel, K. [1 ]
机构
[1] Norwegian Inst Air Res, N-2027 Kjeller, Norway
[2] Univ Bremen, Inst Environm Phys, D-28359 Bremen, Germany
[3] Univ Nat Resources & Appl Life Sci, Inst Meteorol, Vienna, Austria
[4] Alfred Wegener Inst, Potsdam, Germany
[5] Dalhousie Univ, Dept Phys & Atmospher Sci, Halifax, NS B3H 3J5, Canada
关键词
PARTICLE DISPERSION MODEL; EXPLOSIVE VOLCANIC-ERUPTIONS; GASES; PARAMETERIZATION; DEPOSITION; INJECTION; AEROSOLS; FLEXPART; PLUME; SO2;
D O I
10.1029/2009JD013286
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
An analytical inversion method is used to estimate the vertical profile of sulfur dioxide (SO2) emissions from the major 2008 eruption of Kasatochi Volcano, located on the Aleutian Arc, Alaska. The method uses satellite-observed total SO2 columns from the Global Ozone Monitoring Experiment-2 (GOME-2), Ozone Monitoring Instrument (OMI), and Atmospheric InfraRed Sounder (AIRS) during the first 2 days after the eruption, and an atmospheric transport model, FLEXPART, to calculate the vertical emission profile. The inversion yields an emission profile with two large emission maxima near 7 km above sea level (asl) and around 12 km asl, with smaller emissions up to 20 km. The total mass of SO2 injected into the atmosphere by the eruption is estimated to 1.7 Tg, with similar to 1 Tg reaching the stratosphere (above 10 km asl). The estimated vertical emission profile is robust against changes of the assumed eruption time, meteorological input data, and satellite data used. Using the vertical emission profile, a simulation of the transport extending for 1 month after the eruption is performed. The simulated cloud agrees very well with SO2 columns observed byGOME-2, OMI, and AIRS until 6 days after the eruption, and the altitudes agree with both Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation measurements and ground-based lidar observations to within 1 km. The method is computationally very fast. It is therefore suitable for implementation within an operational environment, such as the Volcanic Ash Advisory Centers, to predict the threat posed by volcanic emissions for air traffic.
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页数:18
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