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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 />correlations. Using all data points (a data point being one entry in one record pertaining to a single stonn <br />event), the average precipitation recorded by all of the weather watchers combined was 0.94 inches. The <br />average rainfall in the group of stations to the west (Region I) was 1.02 inches and the average for those <br />stations to the east (Region 2) was 0.86 inches for a difference of about 19% This infonnatlon has been <br />further summarized in Table 8. <br /> <br />Second, the average rainfall for each individual stonn event was calculated using only those weather <br />watcher reports for which data points existed for the stonn event in question. The data points were then <br />sorted and analyzed into same regions, i.e.: Region I for those stations west of the center ofthe City and <br />Region 2 for those stations to the east of the center of the City. The result was that there was a slight trend <br />as to a greater amount of precipitation falling on the western area (Region I) as opposed to the eastern <br />area (Region 2). The results are further summarized in Tables H-l thru H-8 in Appendix H. <br /> <br />Third, the data was filtered to include only those stations with known elevations that had recorded data <br />points for any ofthe stonn events in question. The average amount of precipitation was then calculated <br />for each of these weather watcher stations and then examined to see if there was a correlation between <br />the amount of rainfall and the elevation of the station (Since there is typically a rise in elevation from east <br />to west through the City). The result of this analysis (see Figure-lO) showed that there was not a <br />significant difference in the amount of rainfall that fell at the weather stations at lower elevations as <br />opposed to those that fell at higher elevations. <br /> <br />Fourth, the data was filtered to include only those data points from the weather watcher stations that had <br />recorded over seventy percent of the stonn events. The averages were then ranked and plotted so as to <br />highlight the locations ofthose stations with greater than the average rainfall as compared to those stations <br />with less than average rainfall. The result was examined and there appeared to be a weak correlation <br />between the location of the stations and the amount of precipitation recorded at the weather watcher <br />station. A map showing the results is presented on Figure I I and the corresponding data is presented in <br />Table 9. In order to eliminate the skewing ofthe averages by an extreme data point value, the maximum <br />and the minimum values were then removed and the infonnation was again ranked and plotted. Again, <br />only a weak correlation seemed to exist between the location of a station and the amount of precipitation <br />reported at that station. A map showing the results is presented on Figure 12 and the corresponding data <br />is presented in Table 10. <br /> <br />-11- <br />