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<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 />probably consider the floods of 1997 to be much more severe than those of 1993, while farmers <br />might hold the opposite view. <br /> <br />Caution #3: Because of the large estimation errors found in the NWS data, estimatesfor <br />individual floods should be used with caution. For some purposes the comparison of individual <br />floods may be better done using nominal or ordinal data categorizations. For specific events, <br />detailed descriptions should be sought to compare the nature and impacts of the damage. <br /> <br />D. Possible Inconsistencies With Other Sources <br />The NWS defines flood damage more narrowly than many other agencies. Emergency <br />management agencies generally include both river and coastal flooding whenever water rises to <br />overflow land that is not normally submerged. In contrast, the NWS estimates include only <br />flooding whose primary cause is rainfall, snowmelt, or river flows, excluding flooding caused by <br />wind-driven waves associated with coastal storms or hurricanes. For example, FEMA records <br />show a Presidential disaster declaration of type "flood" for Massachusetts in February 1978, and <br />the USACE reports $520 million flood damage due to storm surge and huge waves (US ACE <br />New England Division 1979; converted to 1995 dollars), but that damage is not included in NWS <br />flood damage estimates. <br /> <br />The NWS estimates do include floods caused by dam failure, however. In the NWS <br />record, Idaho's worst flood resulted from the failure in 1976 of the newly-constructed Teton <br />Dam, with damage estimates in the $1- 2.3 billion range (in 1995 dollars). Idaho's largest <br />estimated flood damage due to natural causes was much smaller: $120 million in 1997. <br /> <br />Caution #4: Different agencies define "flood" and "flood damage" somewhat differently. <br />Check for incompatibilities between data from different sources before seeking to combine <br />sources or aggregate data. <br /> <br />E. Uses of the Reanalyzed NWS Damage Estimates <br />With the precautions noted above, we conclude that the reanalyzed NWS flood damage <br />estimates can be a valuable tool to aid researchers and decision makers in understanding the <br />changing character of damaging floods in the United States. Data sets of annual damage at <br />national, state, and river basin levels are available at www.flooddamagedata.org. <br /> <br />In climate research, these data can contribute to understanding the relationship between <br />climatic influences and damaging floods. For example, they have been used to examine the <br />relationship of national and regional flood damage with several measures of precipitation, in a <br />study that controlled for changes in population and wealth (Pielke and Downton 2000). For <br />policy makers and emergency managers, the data provide a nationwide overview of flood <br />vulnerability and can be useful in evaluating policies related to management of flood hazards. <br />For example, we have investigated the role of politics in presidential disaster declaration <br />decisions by comparing disaster declarations involving floods with estimated flood damage <br />(Downton and Pielke 2001). <br /> <br />65 <br />