Mathematics – Logic
Scientific paper
Jan 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003georl..30b...7k&link_type=abstract
Geophysical Research Letters, Volume 30, Issue 2, pp. 7-1, CiteID 1035, DOI 10.1029/2002GL015992
Mathematics
Logic
23
Hydrology: Floods, Oceanography: General: Climate And Interannual Variability (3309), Oceanography: Physical: El Nino
Scientific paper
Recent research has highlighted the persistence of multi-decadal epochs of enhanced/reduced flood risk across New South Wales (NSW), Australia. Recent climatological studies have also revealed multi-decadal variability in the modulation of the magnitude of El Niño/Southern Oscillation (ENSO) impacts. In this paper, the variability of flood risk across NSW is analysed with respect to the observed modulation of ENSO event magnitude. This is achieved through the use of a simple index of regional flood risk. The results indicate that cold ENSO events (La Niña) are the dominant drivers of elevated flood risk. An analysis of multi-decadal modulation of flood risk is achieved using the inter-decadal Pacific Oscillation (IPO) index. The analysis reveals that IPO modulation of ENSO events leads to multi-decadal epochs of elevated flood risk, however this modulation appears to affect not only the magnitude of individual ENSO events, but also the frequency of their occurrence. This dual modulation of ENSO processes has the effect of reducing and elevating flood risk on multi-decadal timescales. These results have marked implications for achieving robust flood frequency analysis as well as providing a strong example of the role of natural climate variability.
Franks Stewart W.
Kiem Anthony S.
Kuczera George
No associations
LandOfFree
Multi-decadal variability of flood risk does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Multi-decadal variability of flood risk, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Multi-decadal variability of flood risk will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1527241