D. Changnon et Sa. Changnon, CLIMATOLOGICAL RELEVANCE OF MAJOR USA WEATHER LOSSES DURING 1991-1994, International journal of climatology, 18(1), 1998, pp. 37-48
Two insurance indices, which integrate storm types with their losses f
rom 1948 to 1994, were examined to assess the frequency and intensity
of damaging weather in the USA from 1991 to 1994. These indices adjust
for changing socioeconomic conditions, allowing meaningful temporal a
ssessment of 1991-1994 conditions against those in earlier years. Cata
strophes, as defined by property loss insurers, were assessed for two
groups, those 707 storms with insured losses between $10 and $100 mill
ion and those 189 with greater than $100 million. Both categories expe
rienced their greatest frequency and caused more loss during the 1991-
1994 period than in any prior period. However, the temporal behaviour
of annual frequency and losses for both categories were very different
, with steady increases found for the $10 to $100 million catastrophes
, while the number of >$100 million catastrophes exhibited a high-low-
high distribution and the annual cost distribution was flat with a few
isolated peaks. For both categories the temporal behaviour of storm i
ntensity was similar, with moderate intensities found in the recent pe
riod and the highest intensities in the 1950s. The crop-hail losses we
re high in 1992-1994, and the annual loss costs for the 1948-1994 peri
od had a U-shaped time distribution similar to that of the > $100 mill
ion catastrophes. Weather conditions (USA mean temperature and surface
cyclone frequency) were found to largely define: (i) when major, high
ly expensive weather events occur (and their annual losses), and (ii)
how intense catastrophic storm conditions and crop-damaging hailstorms
are during each year. Conversely, the shifting target (population as
an index) for damaging (non-hurricane) storms across the USA is the ma
jor factor in 'creating' storms with losses reaching into the low ($10
million) to moderate ($100 million) range. (C) 1998 Royal Meteorologi
cal Society.