HR: 1340h
AN: NG23D-0116 [Abstracts]
TI: Extreme Events: Changes in Risk due to Long-Range Persistence
AU: * Malamud, B D
EM: bruce.malamud@kcl.ac.uk
AF: Environmental Monitoring and Modelling Research Group, Department of Geography
King's College London
Strand, London, WC2R 2LS
United Kingdom
AU: Witt, A
EM: annette@agnld.uni-potsdam.de
AF: Environmental Monitoring and Modelling Research Group, Department of Geography
King's College London
Strand, London, WC2R 2LS
United Kingdom
AB:
Restrictions on land use, building codes, and emergency preparedness are often based on probabilistic hazard
forecasting---estimating how often a given size event will occur in a given area. These hazard estimates are usually
constructed from the frequency-size distribution of historical events in that area. However, this assumes that event sizes
are independent of each other in time (uncorrelated), and no `clustering' of large events occur. If clustering, or
persistence, does occur, then the occurrence of one large event increases the likelihood of another large event occurring.
Similarly, if antipersistence occurs, where large events tend to be followed by small ones, then the occurrence of one large
event decreases the short-term likelihood of another large event occurring. It is therefore important to quantify not only
the statistical distribution of historical events in an area, but also their temporal persistence. With this aim, we (1)
construct synthetic fractional noises and motions with a range of long-range persistence strengths, (2) compare these
synthetic time series to `actual' extreme event time series, (3) superimpose multiple iterations of these constructions to
create an ensemble whose properties over time can be calculated. The resulting ensemble forecast measures the increase
(decrease) of risk due to persistence (antipersistence) in common hazard probability distributions and `actual' extreme event
series.
DE: 0468 Natural hazards
DE: 3200 MATHEMATICAL GEOPHYSICS (0500, 4400, 7833)
DE: 3235 Persistence, memory, correlations, clustering (3265, 7857)
DE: 3245 Probabilistic forecasting (3238)
DE: 3270 Time series analysis (1872, 4277, 4475)
SC: Nonlinear Geophysics [NG]
MN: Fall Meeting 2005