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<br />vi <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 />3, Floods causing moderate damage are occasionally omitted, or their damage greatly <br />underestimated, in the NWS data sets, Missing NWS estimates were discovered for floods in <br />which the state claimed as much as $50 million damage, <br /> <br />In summary, the NWS flood damage estimates do not represent an accurate accounting of <br />actual costs, nor do they include all of the losses that might be attributable to flooding, Rather, <br />they are rough estimates of direct physical damage to property, crops, and public infrastructure, <br />Estimates for individual flood events are often quite inaccurate, but when estimates from many <br />events are added together the errors become proportionately smaller. <br /> <br />At the national level, these findings suggest that annual damage totals are reasonably <br />accurate because they are sums of damage estimates from many flood events, State annual <br />damage estimates are more problematic, Both frequency and magnitude of damage must be <br />considered, because damaging floods do not occur every year in most states, Flood frequency <br />cannot be determined simply by the presence or absence of a damage estimate because reporting, <br />particularly for small floods, is unreliable, <br /> <br />Aggregation is a key to reducing estimation errors, To compare flood damages between <br />. states, aggregate the damage estimates over many years and compare the sums, To compare <br />damage between years, aggregate yearly state damage estimates over multi-state regions, Even <br />when the estimates are highly aggregated, be aware that a substantial amount of variability is <br />caused by estimation errors and interpret the results accordingly, <br /> <br />When properly used, the reanalyzed NWS damage estimates can be a valuable tool to aid <br />researchers and decision makers in understanding the changing character of damaging floods in <br />the United States. Users of the reanalyzed data are advised to take the following precautions: <br /> <br />. To compare flood damage over time, adjust for changes in population, wealth, or <br />development. <br />. To compare damage in different geographical areas, control for differences in population <br />and in the incidence of extreme weather events during the period of study, <br />. Use damage estimates for individual floods with caution, recognizing that estimation <br />errors are large. Comparison of individual floods might be better done using nominal or <br />ordinal damage levels, Look for qualitative descriptions to compare the nature and <br />impacts of the damage, <br />. Different agencies define "flood" and "flood damage" somewhat differently, Check for <br />incompatibilities between data from different sources before seeking to combine sources <br />or aggregate data, <br /> <br />The NWS damage estimates are not reliable enough to be a basis for critical decisions, <br />such as setting flood insurance premiums or evaluating the cost,effectiveness of specific hazard <br />mitigation measures, Better damage data are needed to evaluate the effecti veness of specific <br />mitigation measures designed to reduce flood losses. <br />