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<br />Table 6. One-day precipitation amounts not included in Figure 7. <br />Precipitation Station Elevation <br />(inches) (feet) Date Comment <br />5.77 Pikes Peak 14,111 12/6/1892 Likely snow. <br />5.06 Lake Morain 10,265 5/18/1955 Snow. <br />5.60 Silver Lake 10,200 4/15/1921 Snow. <br />4.28 Cabin Creek 10,018 5/7/1969 Snow, elevation not <br /> 13,020 feet. <br />4.90 Wolf Creek Pass 9,430 12/30/1951 Snow. <br />4.91 La Veta Pass 9,242 6/18/1947 Two-day total listed; <br /> 4.30" is one-day total. <br />4.80 Longs Peak 9,000 4/15/1921 Snow. <br />5.14 Fremont Exp. Sta. 8,836 6/3/1921 Two-day total listed; <br /> 2.61 " is one-day total. <br /> <br />2) Expansion of surface precipitation/rainfall measurements is needed in the mountains to <br />support improved calibration of the NWS WSR-88D precipitation estimation <br />algorithms and to improve the detection potential for extreme rains at high elevations. <br />This must include some number of real-time reporting recording precipitation gauges. <br /> <br />3) A low-cost approach to increasing high-elevation data collection would be to recruit <br />many more summertime volunteer weather observers in the Rocky Mountain region. <br />Four-inch diameter plastic rain gauges could be purchased in quantity and distributed <br />to interested summer residents in exchange for taking and recording daily rainfall <br />measurements. <br /> <br />4) The value and utility of daily precipitation measurements from the USDA Natural <br />Resources Conservation Service SNOTEL network is proving to be significant since <br />this is the only existing network concentrated at higher elevations. The value of this <br />data resource could be enhanced if the data were more fully quality controlled to <br />improve accuracy and reliability of warm-season measurements. Also, providing more <br />frequent reports from selected stations at intervals of one hour, three hours or at least <br />six hours would allow this existing and well-maintained network to serve more <br />hydrological applications. <br /> <br />5) Organizations currently involved in real-time or research-related precipitation data <br />collection should be informed about the Extreme Precipitation Data Study and results. <br />These groups should be encouraged to archive their precipitation data and provide it <br />for future extreme precipitation studies and updates. When very heavy rainfall totals <br />or rainfall rates are observed, these groups should be encouraged to bring these storms <br /> <br />31 <br />