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<br />4. SOURCES OF INACCURACY IN THE DAMAGE DATA <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 />Sections 4 and 5 analyze the accuracy of flood damage data received from the NWS <br />Hydrologic Information Center. The goals are to (I) identify errors, inconsistencies, and <br />uncertainties in the estimates, and (2) assess the accuracy of the estimates. The analyses focus <br />on national and state annual damage estimates for the period 1955-1998. <br /> <br />Discussions with staff and comparison of the available materials revealed several sources <br />of inaccuracy and inconsistency in the time series of historical damage estimates: <br /> <br />1. Clerical errors <br />2. Inconsistency in reporting over time <br />3. Low precision of reported estimates <br />4. Inadequate estimation methods <br /> <br />Each source of inaccuracy is described briefly below. Many of the clerical errors were <br />correctable. Inconsistencies are inevitable in data collected over a long time period; their <br />existence should be noted, but the effects are not measurable. Assessment of the inaccuracy <br />introduced by poor estimation methods is undertaken in Section 5. <br /> <br />A. Clerical Errors <br />These include mistakes in data entry, transcription, and labeling. Clerical errors were <br />found and corrected, if possible, by comparing the data sets with published sources and material <br />in the archive files. Mistaken labeling included, for example, the statement that all damages <br />were summed by fiscal year (Oct. - Sep.) when, in fact, the national data had been summed by <br />calendar year (Jan. - Dec.) through 1982. <br /> <br />B. Inconsistency in Reporting over Time <br />Published NWS reports of flood damage are uniform in format and content for extended <br />periods, leading us to assume that fairly consistent methods were used within the periods 1934- <br />1979 and 1983-present (see Section 2). However, collection of flood damage data was greatly <br />curtailed in 1980, then restarted in 1983 with a new purpose and less detailed reporting. Before <br />1980, the data were aggregated by river basin and calendar year with several types of flood loss <br />itemized separately. After 1982, data were aggregated by state and fiscal year (Oct.-Sep.), at <br />first with distinction between damage to property and crops, later with only the total of the two. <br />The difference in data collection between the two periods introduces errors when one attempts to <br />develop a uniform data series for the full timespan. <br /> <br />Inconsistency in spatial units <br />Flooding naturally occurs in river basins, not necessarily bounded by individual states. <br />When rivers form the state lines or floods cross state lines, assigning historical losses to the <br />proper state is problematic. Our efforts to assemble estimates for 1976-1979 shed some light on <br />the uncertainties involved. For example, the Wabash River rises in Indiana, but it forms a part of <br />the border between Indiana and lllinois. NWS records on floods in 1976 and 1977 did not <br />indicate how Wabash River flood damage should be divided between Indiana and Illinois; <br />therefore, we had to decide the allocation arbitrarily. Another example is the Pearl River, which <br /> <br />20 <br />