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
来源
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS | 2014年 / 6卷 / 04期
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
    Bell, Ray
    Strachan, Jane
    Vidale, Pier Luigi
    Hodges, Kevin
    Roberts, Malcolm
    [J]. JOURNAL OF CLIMATE, 2013, 26 (20) : 7966 - 7980
  • [2] Modeled Impact of Anthropogenic Warming on the Frequency of Intense Atlantic Hurricanes
    Bender, Morris A.
    Knutson, Thomas R.
    Tuleya, Robert E.
    Sirutis, Joseph J.
    Vecchi, Gabriel A.
    Garner, Stephen T.
    Held, Isaac M.
    [J]. 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
    BENGTSSON, L
    BOTTGER, H
    KANAMITSU, M
    [J]. TELLUS, 1982, 34 (05): : 440 - 457
  • [5] How may tropical cyclones change in a warmer climate?
    Bengtsson, Lennart
    Hodges, Kevin I.
    Esch, Monika
    Keenlyside, Noel
    Kornblueh, Luis
    Luo, Jing-Jia
    Yamagata, Toshio
    [J]. 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
    Camargo, SJ
    Barnston, AG
    Zebiak, SE
    [J]. 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
    Camargo, Suzana J.
    [J]. JOURNAL OF CLIMATE, 2013, 26 (24) : 9880 - 9902