Temporal, probabilistic mapping of ash clouds using wind field stochastic variability and uncertain eruption source parameters: Example of the 14 April 2010 Eyjafjallajokull eruption

被引:17
作者
Stefanescu, E. R. [1 ]
Patra, A. K. [1 ]
Bursik, M. I. [2 ]
Madankan, R. [1 ]
Pouget, S. [2 ]
Jones, M. [3 ]
Singla, P. [1 ]
Singh, T. [1 ]
Pitman, E. B. [4 ]
Pavolonis, M. [5 ]
Morton, D. [6 ]
Webley, P. [6 ]
Dehn, J. [6 ]
机构
[1] SUNY Buffalo, Dept Mech & Aerosp Engn, Buffalo, NY 14260 USA
[2] SUNY Buffalo, Dept Geol, Buffalo, NY 14260 USA
[3] SUNY Buffalo, Ctr Computat Res, Buffalo, NY 14260 USA
[4] SUNY Buffalo, Dept Math, Buffalo, NY 14260 USA
[5] NOAA NESDIS, Ctr Satellite Applicat & Res, Madison, WI USA
[6] Univ Alaska, Inst Geophys, Fairbanks, AK USA
基金
美国国家科学基金会;
关键词
TROPICAL CYCLONE ACTIVITY; INTERANNUAL VARIABILITY; CIRCULATION; CLIMATE; MODEL; INTEGRATION; SIMULATION; FREQUENCY; GCM;
D O I
10.1002/2014MS000332
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Uncertainty in predictions from a model of volcanic ash transport in the atmosphere arises from uncertainty in both eruption source parameters and the model wind field. In a previous contribution, we analyzed the probability of ash cloud presence using weighted samples of volcanic ash transport and dispersal model runs and a reanalysis wind field to propagate uncertainty in eruption source parameters alone. In this contribution, the probabilistic modeling is extended by using ensemble forecast wind fields as well as uncertain source parameters. The impact on ash transport of variability in wind fields due to unresolved scales of motion as well as model physics uncertainty is also explored. We have therefore generated a weighted, probabilistic forecast of volcanic ash transport with only a priori information, exploring uncertainty in both the wind field and the volcanic source.
引用
收藏
页码:1173 / 1184
页数:12
相关论文
共 60 条
[1]   Response of Tropical Cyclones to Idealized Climate Change Experiments in a Global High-Resolution Coupled General Circulation Model [J].
Bell, Ray ;
Strachan, Jane ;
Vidale, Pier Luigi ;
Hodges, Kevin ;
Roberts, Malcolm .
JOURNAL OF CLIMATE, 2013, 26 (20) :7966-7980
[2]   Modeled Impact of Anthropogenic Warming on the Frequency of Intense Atlantic Hurricanes [J].
Bender, Morris A. ;
Knutson, Thomas R. ;
Tuleya, Robert E. ;
Sirutis, Joseph J. ;
Vecchi, Gabriel A. ;
Garner, Stephen T. ;
Held, Isaac M. .
SCIENCE, 2010, 327 (5964) :454-458
[3]  
Bengtsson L, 2007, TELLUS A, V59, P396, DOI 10.1111/J.1600-0870.2007.00236.x
[4]   SIMULATION OF HURRICANE-TYPE VORTICES IN A GENERAL-CIRCULATION MODEL [J].
BENGTSSON, L ;
BOTTGER, H ;
KANAMITSU, M .
TELLUS, 1982, 34 (05) :440-457
[5]   How may tropical cyclones change in a warmer climate? [J].
Bengtsson, Lennart ;
Hodges, Kevin I. ;
Esch, Monika ;
Keenlyside, Noel ;
Kornblueh, Luis ;
Luo, Jing-Jia ;
Yamagata, Toshio .
TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY, 2007, 59 (04) :539-561
[6]  
Camargo S.J., 2010, GLOBAL PERSPECTIVES, V2nd ed., P325, DOI DOI 10.1142/9789814293488_0011
[7]   A statistical assessment of tropical cyclone activity in atmospheric general circulation models [J].
Camargo, SJ ;
Barnston, AG ;
Zebiak, SE .
TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY, 2005, 57 (04) :589-604
[8]  
Camargo SJ, 2002, WEATHER FORECAST, V17, P1152, DOI 10.1175/1520-0434(2002)017<1152:ITDATO>2.0.CO
[9]  
2
[10]   Global and Regional Aspects of Tropical Cyclone Activity in the CMIP5 Models [J].
Camargo, Suzana J. .
JOURNAL OF CLIMATE, 2013, 26 (24) :9880-9902