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Last modified
7/28/2009 2:40:53 PM
Creation date
4/24/2008 2:55:57 PM
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Template:
Weather Modification
Title
Snow Accumulation Algorithm for the WSR-80D Radar: Second Annual Report
Date
6/1/1997
Weather Modification - Doc Type
Report
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<br />Table 4. -Summary of R values between indicated gage hourly SWE accumulations and the range bins directly <br />overhead (0.0 m S.I) and the range bins calculated by the reverse trajectory method (see text) for the four indicated <br />assumed fall speeds for larger snowflakes. <br /> <br />I. R values for Cleveland using Ze = 330 S2.0 and minimum hourly gage accumulations of 0.005 inch. No hourly <br />radar SWE minimum was used. N is the number of hourly data pairs available. <br /> <br /> Gage Range Assumed Snowflake Fall Speed (m S.I) <br /> No. (km) N <br /> 0.0 0.5 1.0 1.5 2.0 <br /> 1 36 301 0.61 0.39 0.57 0.58 0.57 <br /> 2 61 398 0.71 0.61 0.68 0.69 0.70 <br /> 1&2 699 0.66 0.47 0.62 0.63 0.64 <br /> 3 87 344 0.63 0.40 0.58 0.61 0.63 <br /> 4 115 368 0.70 0.25 0.53 0.65 0.66 <br /> 5 146 388 0.55 0.07 0.18 0.30 0.38 <br />n. Same as above except for Denver using Z, = 150 S2.0. <br /> Gage Range Assumed Snowflake Fall Speed (m S.I) <br /> No. (km) N <br /> 0.0 0.5 1.0 1.5 2.0 <br /> 1 25 106 0.74 0.76 0.77 0.78 0.75 <br /> 2 24 100 0.71 0.73 0.68 0.66 0.68 <br /> 3 49 151 0.71 0.68 0.68 0.68 0.68 <br /> 7 25 101 0.60 0.55 0.55 0.58 0.58 <br /> 1,2,3 357 0.72 0.72 0.70 0.70 0.70 <br /> <br />The Cleveland calculations show the advection scheme actually reduces the degree of association between <br />radar estimates and gage observations, in opposition to its designed purpose. The best performance of <br />the advection scheme is with 2.0 m S.I fall speed. This value is unrealistically fast for most snowflake <br />types, especially for the area's lake effect storms known to frequently have low density snowfall. Use of <br />the fastest speed simply results in use of a range bin fairly close to the nearest neighbor except at far <br />range. <br /> <br />Use of the advection scheme in the Cleveland area is clearly counterproductive. Two major reasons for <br />its failure are speculated to be: <br /> <br />1. Use of a single fall speed is a gross oversimplification. At any given instant, the larger snowflakes <br />may be falling over a significant range of speeds in different portions of the radar's area of coverage. <br />But no measurements are available concerning what these speeds actually are or how they vary in <br />space and time. <br /> <br />2. V AD winds calculated near the radar may be unrepresentative of actual winds at farther ranges. <br /> <br />Examination of the Denver R values in table 4 reveals a different situation than for Cleveland. The <br />greatest R-value is for the nearest neighbor range bin for two of the four gages. But gages 1 and 2 have <br />greatest degrees of association with fall speeds of 1.5 and 0.5 m S.I, respectively. Unlike Cleveland, the <br />Denver R values do not vary much with fall speed for any site. However, three of the sites are located <br /> <br />11 <br />
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