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FLOOD06680
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Last modified
1/25/2010 7:09:39 PM
Creation date
10/5/2006 2:27:19 AM
Metadata
Fields
Template:
Floodplain Documents
County
Statewide
Basin
Statewide
Title
Flood Damage in the United States, 1926-2000
Date
6/1/2000
Prepared By
NOAA
Floodplain - Doc Type
Flood Documentation Report
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<br />40 <br /> <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br /> <br />Fignre 5-3 is a scatterplot of all cases that have estimates from both NWS and the state. <br />Logarithmic scales are used on the axes to highlight proportional.differences in the estimates. <br />The solid diagonal line represents perfect agreement between the estimates. Data points outside <br />of the two dashed Jines are cases in which the estimates differ by more than a factor of two. <br />Seventeen cases are above the upper dashed line, representing state estimates more than twice as <br />large as the NWS estimate. Six cases are below the lower dashed line, with NWS estimates <br />more than twice as large as the state estimate. <br /> <br />The closest agreement between state and NWS estimates occurred in floods involving <br />major damage (over $500 million). At the other extreme, the largest proportional disagreements <br />(cases farthest outside the dashed lines) occurred when both sources indicated that flood damage <br />was low or moderate (under $50 million). <br /> <br />From the standpoint of the NWS estimates, when the NWS damage estimate was: <br />(I) moderate ($5-50 million), then 55% of state estimates differed by a factor of 2 or more; <br />(2) high ($50-500 million), then 30% of state estimates differed by a factor of 2 or more; <br />(3) major (over $500 million), then none of the differences exceeded a factor of 1.4. <br /> <br />There are many plausible explanations why agreement might improve as total damage <br />increases. First, the crisis of a major flood spurs studies by numerous agencies. Collection of <br />damage information is more likely to be systematic and complete in a major flood than in a <br />smaller one. Second, agencies are more likely to share information about major floods (which <br />would lead to increased agreement, but does not guarantee greater accuracy). In smaller floods, <br />on the other hand, collection of damage information is likely to be haphazard and there is less <br />interest in checking and correcting early damage estimates. Third, the damage in large floods is <br />aggregated from many individual damage estimates so that random errors tend to cancel out. <br />Small floods involve less aggregation and, hence, relatively larger errors. <br /> <br />C. Accuracy: Summary and Conclusions <br /> <br />The following conclusions are drawn from the analysis of accuracy and consistency <br />presented in Sections 4 and 5. <br /> <br />1. The collection and processing of flood damage data by the NWS has been reasonably <br />consistent from 1934 to the present, except during the period 1976-1982. Errors are probably <br />somewhat larger in the first few years after data collection resumed in 1983. <br /> <br />Data from NWS files and other sources made it possible to reconstruct state and national <br />flood damage estimates for 1976-1979. However,little data was collected during 1980-1982 <br />and large errors were discovered in estimates developed later for that period. As a result, the <br />years 1980-1982 have been excluded from the reanalyzed data sets. Annual compilation of <br />damage estimates resumed in 1983, but depended mainly on information from Storm Data in the <br />first few years. Particularly in 1983-1984, omissions are more likely and estimates probably <br />contain somewhat larger errors because of the use of damage categories. <br />
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