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FLOOD10353
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Last modified
1/26/2010 10:13:12 AM
Creation date
10/24/2007 10:03:53 AM
Metadata
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Floodplain Documents
County
Larimer
Community
Fort Collins
Stream Name
Big Thompson River
Basin
South Platte
Title
Twenty Years Later, What We Have Learned Since the Big Thompson Flood - Proceedings of a Meeting Held in Fort Collins - July 13-15, 1996
Date
7/13/1996
Floodplain - Doc Type
Educational/Technical/Reference Information
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<br />105 <br /> <br />reporting hourly accumulations of 10.01 inches and 20.02 inches. These <br />values are clearly unreasonably large and, due to a repetitive pattern, can be <br />identified and eliminated. Somewhat less obvious are extremely large reports <br />(e.g., 15.55 inches in an hour), but the extreme value still makes it possible <br />to eliminate them automatically. Another set of errors involves the recording <br />of hundredths of an inch values in the tenths of an inch column (e.g., 7.80 <br />inches in one hour, followed by 6.50 inches with no precipitation on either <br />side of those two hours). These are problematic, as are other isolated <br />instances of large precipitation (~4 incheslhour), because there is no objective <br />way to determine whether they are the result of "bad" data or extremely large <br />"good" data. Indeed, this is a fundamental problem in using any dataset about <br /> <br />Brooks, Stensrud, and Mitchell <br /> <br />any rare, extreme events. <br />We individually checked every hourly report of greater than 4.5 inches <br />(approximately 360 reports) with reports from meteorological and climato- <br />logical journals, and found that only a few were likely to be good reports; the <br />rest fell into the kinds of errors mentioned above. The real difficulty comes <br />in attempting to hand check the much larger number of reports at smaller <br />values. The distinction between obviously bad and good data becomes <br />blurred, and the volume of work becomes prohibitive. <br /> <br />Observed Frequency of Hourly Precipitation <br /> <br />One of our purposes in investigating the frequency of heavy precipitation <br />is to estimate the number of times operational weather forecasters will have <br />to deal with this problem and to understand its implications for a national <br />forecast center. Hence, we confine ourselves to looking at the average <br />number of events in the contiguous United States and do not consider the lack <br />of spatial uniformity. We touch only on the highlights of the precipitation <br />record, focusing on hourly accumulations of an inch or more and, particu- <br />larly, on the average number of events in July. Longer accumulation times <br />and larger amounts are referenced from the July hourly base values. <br />We organized data in Ih-inch aggregates (e.g., 1 inch to 11/2 inches, Ilh <br />inch to 2 inches, etc.) for ease of analysis and to increase the number of <br />samples at higher values. We found that the annual cycle of heavy precipita- <br />tion peaks in July and is symmetric about that month (see Figure 1). In <br />January, the month in which heavy precipitation is least frequent, there are <br />about 7 % of the number of events as in July. In total, on average, there are <br />approximately 2,400 reports of 1 inch to Ilh inches hourly rainfalls in the <br />HPD each year and 3,200 reports of 1 inch or greater. Twenty percent of all <br />observations occur in July and more than 50% occur in June through August. <br />
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