A compound event framework for understanding extreme impacts

被引:568
作者
Leonard, Michael [1 ]
Westra, Seth [1 ]
Phatak, Aloke [2 ]
Lambert, Martin [1 ]
van den Hurk, Bart [3 ]
McInnes, Kathleen [4 ]
Risbey, James [5 ]
Schuster, Sandra
Jakob, Doerte [6 ]
Stafford-Smith, Mark [7 ]
机构
[1] Univ Adelaide, Sch Civil Environm & Mining Engn, Adelaide, SA, Australia
[2] CSIRO Computat Informat, Floreat, Australia
[3] Royal Netherlands Meteorol Inst, NL-3730 AE De Bilt, Netherlands
[4] CSIRO Marine & Atmospher Res, Aspendale, Vic, Australia
[5] CSIRO Marine & Atmospher Res, Hobart, Tas, Australia
[6] Bur Meteorol Environm & Res, Melbourne, Australia
[7] CSIRO Ecosyst Sci, Black Mt, Australia
关键词
CLIMATE-CHANGE; RIVER FLOW; FREQUENCY-ANALYSIS; JOINT PROBABILITY; SEA SURGE; PRECIPITATION; FIRE; STATIONARITY; DEPENDENCE; INFERENCE;
D O I
10.1002/wcc.252
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Climate and weather variables such as rainfall, temperature, and pressure are indicators for hazards such as tropical cyclones, floods, and fires. The impact of these events can be due to a single variable being in an extreme state, but more often it is the result of a combination of variables not all of which are necessarily extreme. Here, the combination of variables or events that lead to an extreme impact is referred to as a compound event. Any given compound event will depend upon the nature and number of physical variables, the range of spatial and temporal scales, the strength of dependence between processes, and the perspective of the stakeholder who defines the impact. Modeling compound events is a large, complex, and interdisciplinary undertaking. To facilitate this task we propose the use of influence diagrams for defining, mapping, analyzing, modeling, and communicating the risk of the compound event. Ultimately, a greater appreciation of compound events will lead to further insight and a changed perspective on how impact risks are associated with climate-related hazards. (C) 2013 John Wiley & Sons, Ltd.
引用
收藏
页码:113 / 128
页数:16
相关论文
共 72 条
[1]  
[Anonymous], 2009, EM DAT INT DIS DAT
[2]  
[Anonymous], 2005, Regional Frequency Analysis: An Approach Based on L-Moments
[3]   Characterizing and Modeling Temporal and Spatial Trends in Rainfall Extremes [J].
Aryal, Santosh K. ;
Bates, Bryson C. ;
Campbell, Edward P. ;
Li, Yun ;
Palmer, Mark J. ;
Viney, Neil R. .
JOURNAL OF HYDROMETEOROLOGY, 2009, 10 (01) :241-253
[4]  
Berkhout F, REG ENV CHA IN PRESS
[5]  
BLOSCHL G, 1995, HYDROL PROCESS, V9, P251, DOI 10.1002/hyp.3360090305
[6]  
Box G.E.P., 2005, Statistics for Experimenters. Design, Innovation, and Discovery, V2
[7]  
Brown Casey, 2012, WATER RESOURCES RESEARCH, V48, DOI DOI 10.1029/2011WR011212
[8]  
Carter TR, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P133
[9]  
Catenacci M., 2010, Nota di Lavoro - Fondazione Eni Enrico Mattei (FEEM)
[10]   Good practice in Bayesian network modelling [J].
Chen, Serena H. ;
Pollino, Carmel A. .
ENVIRONMENTAL MODELLING & SOFTWARE, 2012, 37 :134-145